Author: "Abera SF" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Abera SF"' showing total 132 results

Start Over Author "Abera SF"

132 results on '"Abera SF"'

1. Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 (The Lancet (2018) 392(10159) (1923–1994), (S0140673618322256), (10.1016/S0140-6736(18)32225-6))

Author: Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, Azzopardi, PS, Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, and Azzopardi, PS
Abstract: Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk–outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk–outcome pairs, and new data on risk exposure levels and risk–outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk–outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes du
Published: 2019

2. Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of

Author: Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, Azzopardi, PS, Stokes, Mark, Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, Azzopardi, PS, and Stokes, Mark
Published: 2019

3. Department of Error.

Author: Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, Azzopardi, PS, Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, and Azzopardi, PS
Published: 2019

4. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Author: Lozano, R, Fullman, N, Abate, D, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdel-Rahman, O, Abdi, A, Abdollahpour, I, Abdulkader, RS, Abebe, ND, Abebe, Z, Abejie, AN, Abera, SF, Abil, OZ, Aboyans, V, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NM, Abyu, GY, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adebayo, OM, Adedeji, IA, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adhikari, TB, Adib, MG, Adou, AK, Adsuar, JC, Afarideh, M, Afshari, M, Afshin, A, Agarwal, G, Aghayan, SA, Agius, D, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Ahmed, S, Akalu, TY, Akanda, AS, Akbari, ME, Akibu, M, Akinyemi, RO, Akinyemiju, T, Akseer, N, Alahdab, F, Al-Aly, Z, Alam, K, Alam, T, Albujeer, A, Alebel, A, Alene, KA, Al-Eyadhy, A, Alhabib, S, Ali, R, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Allen, CA, Almasi, A, Al-Maskari, F, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Amenu, K, Amini, E, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansari, H, Ansariadi, A, Ansha, MG, Antonio, CAT, Anwari, P, and Appiah, LT
Subjects: Male, United Nations, Health Status, Sex Offenses, Sustainable Development, Global Health, Global Burden of Disease, Risk Factors, General & Internal Medicine, Humans, Health Status Indicators, Female, Mortality, Goals
Abstract: © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. Funding: Bill & Melinda Gates Foundation.
Published: 2018

5. Erratum: Department of Error

Author: Roth, GA, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abejie, AN, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Accrombessi, MMK, Acharya, D, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adib, MG, Admasie, A, Afshin, A, Agarwal, G, Agesa, KM, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemi, RO, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alam, K, Alam, T, Alebel, A, Alene, KA, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Aminde, LN, Amini, E, Ammar, W, Amoako, YA, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Aremu, O, Arnlov, J, Arora, A, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Ataro, Z, Atique, S, Atre, SR, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayele, Y, Ayer, R, Azzopardi, PS, Babazadeh, A, Bacha, U, Badali, H, and Badawi, A
Abstract: [This corrects the article DOI: 10.1016/S0140-6736(18)32203-7.].
Published: 2018

6. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Roth, GA, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abejie, AN, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Accrombessi, MMK, Acharya, D, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adib, MG, Admasie, A, Afshin, A, Agarwal, G, Agesa, KM, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemi, RO, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alam, K, Alam, T, Alebel, A, Alene, KA, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Aminde, LN, Amini, E, Ammar, W, Amoako, YA, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Aremu, O, Arnlov, J, Arora, A, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Ataro, Z, Atique, S, Atre, SR, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayele, Y, Ayer, R, Azzopardi, PS, Babazadeh, A, Bacha, U, Badali, H, and Badawi, A
Subjects: Adult, Aged, 80 and over, Male, Adolescent, Infant, Newborn, Infant, Middle Aged, Global Health, Global Burden of Disease, Young Adult, Life Expectancy, Age Distribution, Socioeconomic Factors, General & Internal Medicine, Cause of Death, Child, Preschool, Humans, Female, Sex Distribution, Child, Aged
Abstract: © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods: The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries—Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings: At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5–23·9), representing an additional 7·61 million (7·20–8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0–8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0–24·0) and the death rate by 31·8% (30·1–33·3). Total deaths from injuries increased by 2·3% (0·5–4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2–15·1) to 57·9 deaths (55·9–59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000–289 000) globally in 2007 to 352 000 (334 000–363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8–148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2–40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2–36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990—neonatal disorders, lower respiratory infections, and diarrhoeal diseases—were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation: Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Funding: Bill & Melinda Gates Foundation.
Published: 2018

7. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: James, SL, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, D, Acharya, P, Ackerman, IN, Adamu, AA, Adebayo, OM, Adekanmbi, V, Adetokunboh, OO, Adib, MG, Adsuar, JC, Afanvi, KA, Afarideh, M, Afshin, A, Agarwal, G, Agesa, KM, Aggarwal, R, Aghayan, SA, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Al-Raddadi, RM, Alahdab, F, Alam, K, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Alouani, MML, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Aminde, LN, Ammar, W, Amoako, YA, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antonio, CAT, Anwari, P, Arabloo, J, Arauz, A, Aremu, O, Ariani, F, Armoon, B, Ärnlöv, J, Arora, A, Artaman, A, Aryal, KK, Asayesh, H, Asghar, RJ, Ataro, Z, Atre, SR, Ausloos, M, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Azzopardi, PS, Babazadeh, A, Badali, H, Badawi, A, and Bali, AG
Subjects: Adult, Male, Adolescent, Global Health, Global Burden of Disease, Young Adult, Life Expectancy, Age Distribution, General & Internal Medicine, Prevalence, Humans, Disabled Persons, Sex Distribution, Child, Aged, Aged, 80 and over, Incidence, Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, Socioeconomic Factors, Child, Preschool, Wounds and Injuries, Female, Morbidity
Abstract: Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Background: The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. Methods: We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting. Findings: Globally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1-4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0-8·4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6-9·2) for males and 6·5% (5·4-7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs 1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-harm and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]). Interpretation: Global all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury.
Published: 2018

8. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Wang, H, Liddell, CA, Coates, MM, Mooney, MD, Levitz, CE, Schumacher, AE, Apfel, H, Iannarone, M, Phillips, B, Lofgren, KT, Sandar, L, Dorrington, RE, Rakovac, I, Jacobs, TA, Liang, X, Zhou, M, Zhu, J, Yang, G, Wang, Y, Liu, S, Li, Y, Ozgoren, AA, Abera, SF, Abubakar, I, Achoki, T, Adelekan, A, Ademi, Z, Alemu, ZA, Allen, PJ, AlMazroa, MA, Alvarez, E, Amankwaa, AA, Amare, AT, Ammar, W, Anwari, P, Cunningham, SA, Asad, MM, Assadi, R, Banerjee, A, Basu, S, Bedi, N, Bekele, T, Bell, ML, Bhutta, Z, Blore, JD, Basara, BB, Boufous, S, Breitborde, N, Bruce, NG, Bui, LN, Carapetis, JR, Cárdenas, R, Carpenter, DO, Caso, V, Castro, RE, Catalá-Lopéz, F, Cavlin, A, Che, X, Chiang, PP, Chowdhury, R, Christophi, CA, Chuang, TW, Cirillo, M, da Costa Leite, I, Courville, KJ, Dandona, L, Dandona, R, Davis, A, Dayama, A, Deribe, K, Dharmaratne, SD, Dherani, MK, Dilmen, U, Ding, EL, Edmond, KM, Ermakov, SP, Farzadfar, F, Fereshtehnejad, SM, Fijabi, DO, Foigt, N, Forouzanfar, MH, Garcia, AC, Geleijnse, JM, Gessner, BD, Goginashvili, K, Gona, P, Goto, A, Gouda, HN, Green, MA, Greenwell, KF, Gugnani, HC, Gupta, R, Hamadeh, RR, Hammami, M, Harb, HL, Hay, Simon, Hedayati, MT, Hosgood, HD, Hoy, DG, Idrisov, BT, Islami, F, Ismayilova, S, Jha, Vivekanand, Jiang, G, Jonas, JB, Juel, K, Kabagambe, EK, Kazi, DS, Kengne, AP, Kereselidze, M, Khader, YS, Khalifa, SE, Khang, YH, Kim, D, Kinfu, Y, Kinge, JM, Kokubo, Y, Kosen, S, Defo, BK, Kumar, GA, Kumar, K, Kumar, RB, Lai, T, Lan, Q, Larsson, A, Lee, JT, Leinsalu, M, Lim, SS, Lipshultz, SE, Logroscino, G, Lotufo, PA, Lunevicius, R, Lyons, RA, Ma, S, Mahdi, AA, Marzan, MB, Mashal, MT, Mazorodze, TT, McGrath, JJ, Memish, ZA, Mendoza, W, Mensah, GA, Meretoja, A, Miller, TR, Mills, EJ, Mohammad, KA, Mokdad, AH, Monasta, L, Montico, M, Moore, AR, Moschandreas, Joanna, Msemburi, WT, Mueller, UO, Muszynska, MM, Naghavi, M, Naidoo, KS, Narayan, KM, Nejjari, C, Ng, M, de Dieu Ngirabega, J, Nieuwenhuijsen, MJ, Nyakarahuka, L, Ohkubo, T, Omer, SB, Caicedo, AJ, Pillay-van Wyk, V, Pope, D, Pourmalek, F, Prabhakaran, D, Rahman, SU, Rana, SM, Reilly, RQ, Rojas-Rueda, D, Ronfani, L, Rushton, L, Saeedi, MY, Salomon, JA, Sampson, U, Santos, IS, Sawhney, M, Schmidt, JC, Shakh-Nazarova, M, She, J, Sheikhbahaei, S, Shibuya, K, Shin, HH, Shishani, K, Shiue, I, Sigfusdottir, ID, Singh, JA, Skirbekk, V, Sliwa, K, Soshnikov, SS, Sposato, LA, Stathopoulou, VK, Stroumpoulis, K, Tabb, KM, Talongwa, RT, Teixeira, CM, Terkawi, AS, Thomson, AJ, Thorne-Lyman, AL, Toyoshima, H, Dimbuene, ZT, Uwaliraye, P, Uzun, SB, Vasankari, TJ, Vasconcelos, AM, Vlassov, VV, Vollset, SE, Waller, S, Wan, X, Weichenthal, S, Weiderpass, E, Weintraub, RG, Westerman, R, Wilkinson, JD, Williams, HC, Yang, YC, Yentur, GK, Yip, P, Yonemoto, N, Younis, M, Yu, C, Jin, KY, El Sayed Zaki, M, Zhu, S, Vos, T, Lopez, AD, and Murray, CJ
Abstract: Remarkable financial and political efforts have been focused on the reduction of child mortality during the past few decades. Timely measurements of levels and trends in under-5 mortality are important to assess progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two thirds from 1990 to 2015, and to identify models of success.We generated updated estimates of child mortality in early neonatal (age 0-6 days), late neonatal (7-28 days), postneonatal (29-364 days), childhood (1-4 years), and under-5 (0-4 years) age groups for 188 countries from 1970 to 2013, with more than 29,000 survey, census, vital registration, and sample registration datapoints. We used Gaussian process regression with adjustments for bias and non-sampling error to synthesise the data for under-5 mortality for each country, and a separate model to estimate mortality for more detailed age groups. We used explanatory mixed effects regression models to assess the association between under-5 mortality and income per person, maternal education, HIV child death rates, secular shifts, and other factors. To quantify the contribution of these different factors and birth numbers to the change in numbers of deaths in under-5 age groups from 1990 to 2013, we used Shapley decomposition. We used estimated rates of change between 2000 and 2013 to construct under-5 mortality rate scenarios out to 2030.We estimated that 6·3 million (95% UI 6·0-6·6) children under-5 died in 2013, a 64% reduction from 17·6 million (17·1-18·1) in 1970. In 2013, child mortality rates ranged from 152·5 per 1000 livebirths (130·6-177·4) in Guinea-Bissau to 2·3 (1·8-2·9) per 1000 in Singapore. The annualised rates of change from 1990 to 2013 ranged from -6·8% to 0·1%. 99 of 188 countries, including 43 of 48 countries in sub-Saharan Africa, had faster decreases in child mortality during 2000-13 than during 1990-2000. In 2013, neonatal deaths accounted for 41·6% of under-5 deaths compared with 37·4% in 1990. Compared with 1990, in 2013, rising numbers of births, especially in sub-Saharan Africa, led to 1·4 million more child deaths, and rising income per person and maternal education led to 0·9 million and 2·2 million fewer deaths, respectively. Changes in secular trends led to 4·2 million fewer deaths. Unexplained factors accounted for only -1% of the change in child deaths. In 30 developing countries, decreases since 2000 have been faster than predicted attributable to income, education, and secular shift alone.Only 27 developing countries are expected to achieve MDG 4. Decreases since 2000 in under-5 mortality rates are accelerating in many developing countries, especially in sub-Saharan Africa. The Millennium Declaration and increased development assistance for health might have been a factor in faster decreases in some developing countries. Without further accelerated progress, many countries in west and central Africa will still have high levels of under-5 mortality in 2030.Bill & Melinda Gates Foundation, US Agency for International Development.
Published: 2018
Full Text: View/download PDF

9. Erratum: Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 (The Lancet (2018) 392(10159) (1736–1788)(S0140673618322037)(10.1016/S0140-6736(18)32203-7))

Author: Roth, GA, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abejie, AN, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Accrombessi, MMK, Acharya, D, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adib, MG, Admasie, A, Afshin, A, Agarwal, G, Agesa, KM, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemi, RO, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alam, K, Alam, T, Alebel, A, Alene, KA, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Aminde, LN, Amini, E, Ammar, W, Amoako, YA, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Aremu, O, Arnlov, J, Arora, A, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Ataro, Z, Atique, S, Atre, SR, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayele, Y, Ayer, R, Azzopardi, PS, Babazadeh, A, Bacha, U, Badali, H, Badawi, A, Roth, GA, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abejie, AN, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Accrombessi, MMK, Acharya, D, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adib, MG, Admasie, A, Afshin, A, Agarwal, G, Agesa, KM, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemi, RO, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alam, K, Alam, T, Alebel, A, Alene, KA, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Aminde, LN, Amini, E, Ammar, W, Amoako, YA, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Aremu, O, Arnlov, J, Arora, A, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Ataro, Z, Atique, S, Atre, SR, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayele, Y, Ayer, R, Azzopardi, PS, Babazadeh, A, Bacha, U, Badali, H, and Badawi, A
Abstract: GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1736–88—The bottom row in figure 7 was cut off. This correction has been made to the online version as of Nov 9, 2018, and has been made to the printed Article.
Published: 2018

10. The global burden of tuberculosis: results from the Global Burden of Disease Study 2015

Author: Kyu, HH, Maddison, ER, Henry, NJ, Mumford, JE, Barber, R, Shields, C, Brown, JC, Nguyen, G, Carter, A, Wolock, TM, Wang, H, Liu, PY, Reitsma, M, Ross, JM, Abajobir, AA, Abate, KH, Abbas, K, Abera, M, Abera, SF, Hareri, HA, Ahmed, M, Alene, KA, Alvis-Guzman, N, Amo-Adjei, J, Andrews, J, Ansari, H, Antonio, CA, Anwari, P, Asayesh, H, Atey, TM, Atre, S, Barac, A, Beardsley, J, Bedi, N, Bensenor, I, Beyene, AS, Butt, ZA, Cardona, PJ, Christopher, DJ, Dandona, L, Dandona, R, Deribe, K, Deribew, A, Ehrenkranz, R, El Sayed Zaki, M, Endries, A, Feyissa, Tesfaye, Fischer, F, Gai, R, Garcia-Basteiro, AL, Gebrehiwot, TT, Gesesew, H, Getahun, B, Gona, P, Goodridge, A, Gugnani, H, Haghparast-Bidgoli, H, Hailu, GB, Hassen, HY, Hilawe, E, Horita, N, Jacobsen, KH, Jonas, JB, Kasaeian, A, Sano Kedir, M, Kemmer, L, Khader, Y, Khan, E, Khang, YH, Khoja, AT, Kim, YJ, Koul, P, Koyanagi, A, Krohn, KJ, Anil Kumar, G, Kutz, M, Lodha, R, Magdy Abd El Razek, H, Majdzadeh, R, Manyazewal, T, Memish, Z, Mendoza, W, Mezgebe, HB, Mohammed, S, Ogbo, FA, Oh, IH, Oren, E, Osgood-Zimmerman, A, Pereira, D, Plass, D, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, RK, Rao, PC, Ray, SE, Reiner, R, Reinig, N, Safiri, S, Kyu, HH, Maddison, ER, Henry, NJ, Mumford, JE, Barber, R, Shields, C, Brown, JC, Nguyen, G, Carter, A, Wolock, TM, Wang, H, Liu, PY, Reitsma, M, Ross, JM, Abajobir, AA, Abate, KH, Abbas, K, Abera, M, Abera, SF, Hareri, HA, Ahmed, M, Alene, KA, Alvis-Guzman, N, Amo-Adjei, J, Andrews, J, Ansari, H, Antonio, CA, Anwari, P, Asayesh, H, Atey, TM, Atre, S, Barac, A, Beardsley, J, Bedi, N, Bensenor, I, Beyene, AS, Butt, ZA, Cardona, PJ, Christopher, DJ, Dandona, L, Dandona, R, Deribe, K, Deribew, A, Ehrenkranz, R, El Sayed Zaki, M, Endries, A, Feyissa, Tesfaye, Fischer, F, Gai, R, Garcia-Basteiro, AL, Gebrehiwot, TT, Gesesew, H, Getahun, B, Gona, P, Goodridge, A, Gugnani, H, Haghparast-Bidgoli, H, Hailu, GB, Hassen, HY, Hilawe, E, Horita, N, Jacobsen, KH, Jonas, JB, Kasaeian, A, Sano Kedir, M, Kemmer, L, Khader, Y, Khan, E, Khang, YH, Khoja, AT, Kim, YJ, Koul, P, Koyanagi, A, Krohn, KJ, Anil Kumar, G, Kutz, M, Lodha, R, Magdy Abd El Razek, H, Majdzadeh, R, Manyazewal, T, Memish, Z, Mendoza, W, Mezgebe, HB, Mohammed, S, Ogbo, FA, Oh, IH, Oren, E, Osgood-Zimmerman, A, Pereira, D, Plass, D, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, RK, Rao, PC, Ray, SE, Reiner, R, Reinig, N, and Safiri, S
Published: 2018

11. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease S

Author: Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NM, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, Azzopardi, PS, Stokes, Mark A, Stanaway, JD, Afshin, A, Gakidou, E, Lim, SS, Abate, D, Abate, KH, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, M, Abebe, Z, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NM, Accrombessi, MMK, Acharya, D, Acharya, P, Adamu, AA, Adane, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Ademi, Z, Adetokunboh, OO, Adib, MG, Admasie, A, Adsuar, JC, Afanvi, KA, Afarideh, M, Agarwal, G, Aggarwal, A, Aghayan, SA, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, HM, Alahdab, F, Alam, K, Alam, S, Alam, T, Alashi, A, Alavian, SM, Alene, KA, Ali, K, Ali, SM, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Anderson, JA, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansha, MG, Antó, JM, Antonio, CAT, Anwari, P, Appiah, LT, Appiah, SCY, Arabloo, J, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Ataro, Z, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayer, R, Ayuk, TB, Azzopardi, PS, and Stokes, Mark A
Published: 2018

12. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017- Corrigendum

Author: Roth, GA, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abejie, AN, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Accrombessi, MMK, Acharya, D, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adib, MG, Admasie, A, Afshin, A, Agarwal, G, Agesa, KM, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemi, RO, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alam, K, Alam, T, Alebel, A, Alene, KA, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Aminde, LN, Amini, E, Ammar, W, Amoako, YA, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Aremu, O, Arnlov, J, Arora, A, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Ataro, Z, Atique, S, Atre, SR, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayele, Y, Ayer, R, Azzopardi, PS, Babazadeh, A, Bacha, U, Badali, H, Badawi, A, Stokes, Mark, Roth, GA, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abejie, AN, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Accrombessi, MMK, Acharya, D, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adib, MG, Admasie, A, Afshin, A, Agarwal, G, Agesa, KM, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemi, RO, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alam, K, Alam, T, Alebel, A, Alene, KA, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Aminde, LN, Amini, E, Ammar, W, Amoako, YA, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Aremu, O, Arnlov, J, Arora, A, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Ataro, Z, Atique, S, Atre, SR, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayele, Y, Ayer, R, Azzopardi, PS, Babazadeh, A, Bacha, U, Badali, H, Badawi, A, and Stokes, Mark
Published: 2018

13. Burden of lower respiratory infections in the Eastern Mediterranean Region between 1990 and 2015: findings from the Global Burden of Disease 2015 study

Author: Mokdad, AH, Moradi-Lakeh, M, El Bcheraoui, C, Charara, R, Khalil, I, Afshin, A, Kassebaum, NJ, Collison, M, Daoud, F, Chew, A, Krohn, KJ, Colombara, D, Ehrenkranz, R, Foreman, KJ, Frostad, J, Godwin, WW, Kutz, M, Rao, PC, Reiner, R, Troeger, C, Wang, H, Abajobir, AA, Abbas, KM, Abera, SF, Abu-Raddad, LJ, Adane, K, Kiadaliri, AA, Ahmadi, A, Beshir, M, Al-Eyadhy, A, Alam, K, Alam, N, Alasfoor, D, Alizadeh-Navaei, R, Al-Maskari, F, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Anber, N, Ansari, H, Antonio, CAT, Anwari, P, Asayesh, H, Asgedom, SW, Atey, TM, Arthur, EFG, Bacha, U, Barac, A, Bazargan-Hejazi, S, Drew, CR, Geffen, D, Bedi, N, Bhutta, ZA, Michael, B, Butt, ZA, Castaneda-Orjuela, CA, Danawi, H, Djalalinia, S, Endries, AY, Eshrati, B, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Garcia-Basteiro, AL, Gebrehiwot, KT, Gebrehiwot, TT, Hailu, GB, Hamadeh, RR, Hambisa, MT, Hamidi, S, Hassanvand, MS, Hedayati, MT, Horita, N, Husseini, A, Spencer, LJ, Javanbakht, M, Jonas, JB, Kasaeian, A, Khader, YS, Khan, EA, Khan, G, Khoja, ATA, Khubchandani, J, Kim, YJ, Kissoon, N, Larson, HJ, Latif, AA, Leshargie, CT, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Majdzadeh, R, Majeed, A, Malekzadeh, R, Farid, HM, Mehari, A, Memish, ZA, Mengistu, DT, Mensah, GA, Mezgebe, HB, Nakamura, S, Oren, E, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Vafa, R-M, Rai, RK, Rawaf, DL, Rawaf, S, Refaat, AH, Rezaei, S, Rezai, MS, Roba, HS, Roshandel, G, Safdarian, M, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Sartorius, B, Sepanlou, SG, Shaikh, MA, Shamsizadeh, M, Shigematsu, M, Singh, JA, Sufiyan, MB, Tehrani-Banihashemi, A, Temsah, M-H, Topor-Madry, R, Uthman, OA, Vollset, SE, Wakayo, T, Werdecker, A, Wijeratne, T, Yaghoubi, M, Yimam, HH, Yonemoto, N, Younis, MZ, Zaki, MES, Jumaan, AO, Vos, T, Naghavi, M, Hay, SI, Murray, CJL, Mokdad, AH, Moradi-Lakeh, M, El Bcheraoui, C, Charara, R, Khalil, I, Afshin, A, Kassebaum, NJ, Collison, M, Daoud, F, Chew, A, Krohn, KJ, Colombara, D, Ehrenkranz, R, Foreman, KJ, Frostad, J, Godwin, WW, Kutz, M, Rao, PC, Reiner, R, Troeger, C, Wang, H, Abajobir, AA, Abbas, KM, Abera, SF, Abu-Raddad, LJ, Adane, K, Kiadaliri, AA, Ahmadi, A, Beshir, M, Al-Eyadhy, A, Alam, K, Alam, N, Alasfoor, D, Alizadeh-Navaei, R, Al-Maskari, F, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Anber, N, Ansari, H, Antonio, CAT, Anwari, P, Asayesh, H, Asgedom, SW, Atey, TM, Arthur, EFG, Bacha, U, Barac, A, Bazargan-Hejazi, S, Drew, CR, Geffen, D, Bedi, N, Bhutta, ZA, Michael, B, Butt, ZA, Castaneda-Orjuela, CA, Danawi, H, Djalalinia, S, Endries, AY, Eshrati, B, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Garcia-Basteiro, AL, Gebrehiwot, KT, Gebrehiwot, TT, Hailu, GB, Hamadeh, RR, Hambisa, MT, Hamidi, S, Hassanvand, MS, Hedayati, MT, Horita, N, Husseini, A, Spencer, LJ, Javanbakht, M, Jonas, JB, Kasaeian, A, Khader, YS, Khan, EA, Khan, G, Khoja, ATA, Khubchandani, J, Kim, YJ, Kissoon, N, Larson, HJ, Latif, AA, Leshargie, CT, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Majdzadeh, R, Majeed, A, Malekzadeh, R, Farid, HM, Mehari, A, Memish, ZA, Mengistu, DT, Mensah, GA, Mezgebe, HB, Nakamura, S, Oren, E, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Vafa, R-M, Rai, RK, Rawaf, DL, Rawaf, S, Refaat, AH, Rezaei, S, Rezai, MS, Roba, HS, Roshandel, G, Safdarian, M, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Sartorius, B, Sepanlou, SG, Shaikh, MA, Shamsizadeh, M, Shigematsu, M, Singh, JA, Sufiyan, MB, Tehrani-Banihashemi, A, Temsah, M-H, Topor-Madry, R, Uthman, OA, Vollset, SE, Wakayo, T, Werdecker, A, Wijeratne, T, Yaghoubi, M, Yimam, HH, Yonemoto, N, Younis, MZ, Zaki, MES, Jumaan, AO, Vos, T, Naghavi, M, Hay, SI, and Murray, CJL
Abstract: OBJECTIVES: We used data from the Global Burden of Disease 2015 study (GBD) to calculate the burden of lower respiratory infections (LRIs) in the 22 countries of the Eastern Mediterranean Region (EMR) from 1990 to 2015. METHODS: We conducted a systematic analysis of mortality and morbidity data for LRI and its specific etiologic factors, including pneumococcus, Haemophilus influenzae type b, Respiratory syncytial virus, and influenza virus. We used modeling methods to estimate incidence, deaths, and disability-adjusted life-years (DALYs). We calculated burden attributable to known risk factors for LRI. RESULTS: In 2015, LRIs were the fourth-leading cause of DALYs, causing 11,098,243 (95% UI 9,857,095-12,396,566) DALYs and 191,114 (95% UI 170,934-210,705) deaths. The LRI DALY rates were higher than global estimates in 2015. The highest and lowest age-standardized rates of DALYs were observed in Somalia and Lebanon, respectively. Undernutrition in childhood and ambient particulate matter air pollution in the elderly were the main risk factors. CONCLUSIONS: Our findings call for public health strategies to reduce the level of risk factors in each age group, especially vulnerable child and elderly populations.
Published: 2018

14. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016

Author: Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, and Abu-Raddad, LJ
Abstract: Summary Background The UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of “leaving no one behind”. Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990–2016 for 188 countries, and then on the basis of these past trends, we projected indicators to 2030. Methods We used standardised GBD 2016 methods to measure 37 health-related indicators from 1990 to 2016, an increase of four indicators since GBD 2015. We substantially revised the universal health coverage (UHC) measure, which focuses on coverage of essential health services, to also represent personal health-care access and quality for several non-communicable diseases. We transformed each indicator on a scale of 0–100, with 0 as the 2·5th percentile estimated between 1990 and 2030, and 100 as the 97·5th percentile during that time. An index representing all 37 health-related SDG indicators was constructed by taking the geometric mean of scaled indicators by target. On the basis of past trends, we produced projections of indicator values, using a weighted average of the indicator and country-specific annualised rates of change from 1990 to 2016 with weights for each annual rate of change based on out-of-sample validity. 24 of the currently measured health-related SDG indicators have defined SDG targets, against which we assessed attainment. Findings Globally, the median health-related SDG index was 56·7 (IQR 31·9–66·8) in 2016 and country-level performance markedly varied, with Singapore (86·8, 95% uncertainty interval 84·6–88·9), Iceland (86·0, 84·1–87·6), and Sweden (85·6, 81·8–87·8) having the highest levels in 2016 and Afghanistan (10·9, 9·6–11·9), the Central African Republic (11·0, 8·8–13·8), and Somalia (11·3, 9·5–13·1) recording the lowest. Between 2000 and 2016, notable improvements in the UHC index were achieved by several countries, including Cambodia, Rwanda, Equatorial Guinea, Laos, Turkey, and China; however, a number of countries, such as Lesotho and the Central African Republic, but also high-income countries, such as the USA, showed minimal gains. Based on projections of past trends, the median number of SDG targets attained in 2030 was five (IQR 2–8) of the 24 defined targets currently measured. Globally, projected target attainment considerably varied by SDG indicator, ranging from more than 60% of countries projected to reach targets for under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria, to less than 5% of countries projected to achieve targets linked to 11 indicator targets, including those for childhood overweight, tuberculosis, and road injury mortality. For several of the health-related SDGs, meeting defined targets hinges upon substantially faster progress than what most countries have achieved in the past. Interpretation GBD 2016 provides an updated and expanded evidence base on where the world currently stands in terms of the health-related SDGs. Our improved measure of UHC offers a basis to monitor the expansion of health services necessary to meet the SDGs. Based on past rates of progress, many places are facing challenges in meeting defined health-related SDG targets, particularly among countries that are the worst off. In view of the early stages of SDG implementation, however, opportunity remains to take actions to accelerate progress, as shown by the catalytic effects of adopting the Millennium Development Goals after 2000. With the SDGs' broader, bolder development agenda, multisectoral commitments and investments are vital to make the health-related SDGs within reach of all populations. Funding Bill & Melinda Gates Foundation.
Published: 2017

15. Erratum:Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016 (The Lancet (2017) 390(10100) (1423–1459) (S014067361732336X)(10.1016/S0140-6736(17)32336-X))

Author: Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, and Brauer, M
Subjects: General & Internal Medicine, 11 Medical And Health Sciences
Abstract: GBD 2016 SDG Collaborators. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016. Lancet 2017; 390: 1423–59—In figure 8B of this Article (published Online First on Sept 12, 2017), the number of indicator targets has been changed from 1 to 9 for Turkmenistan, from 0 to 1 for Afghanistan, and from 1 to 2 for Yemen. Ettore Beghi, Neeraj Bhala, Hélène Carabin, Raimundas Lunevicius, Donald H Silberberg, and Caitlyn Steiner have been added to the list of GBD 2016 SDG Collaborators. Their affiliations, along with the affiliation of Soumya Swaminathan, have been added to the Affiliations section. These corrections have been made to the online version as of Sept 18, 2017, and the printed Article is correct.
Published: 2017

16. Erratum: Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016 (The Lancet (2017) 390(10100) (1423–1459) (S014067361732336X) (10.1016/S0140-6736(17)32336-X))

Author: Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, and Brauer, M
Subjects: General & Internal Medicine, 11 Medical And Health Sciences
Abstract: GBD 2016 SDG Collaborators. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016. Lancet 2017; 390: 1423–59—The full-text version of this Article has been updated so that the list of authors is displayed in the correct order, in line with the pdf version, rather than in alphabetical order. This correction has been made to the online version as of Oct 12, 2017.
Published: 2017

17. Evolution and patterns of global health financing 1995-2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries

Author: Dieleman, J, Campbell, M, Chapin, A, Eldrenkamp, E, Fan, VY, Haakenstad, A, Kates, J, Liu, YY, Matyasz, T, Micah, A, Reynolds, A, Sadat, N, Schneider, MT, Sorensen, R, Evans, T, Evans, D, Kurowski, C, Tandon, A, Abbas, KM, Abera, SF, Kiadaliri, AA, Ahmed, KY, Ahmed, MB, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Amini, E, Ammar, W, Amrock, SM, Antonio, CAT, Atey, TM, Avila-Burgos, L, Awasthi, A, Barac, A, Bernal, OA, Beyene, AS, Beyene, TJ, Birungi, C, Bizuayehu, HM, Breitborde, NJK, Cahuana-Hurtado, L, Castro, RE, Catala-Lopez, F, Dalal, K, Dandona, L, Dandona, R, Jager, P, Dharmaratne, SD, Dubey, M, Sofia e Sa Farinha, C, Faro, A, Feigl, AB, Fischer, F, Fitchett, JRA, Foigt, N, Giref, AZ, Gupta, R, Hamidi, S, Harb, HL, Hay, SI, Hendrie, D, Horino, M, Jurisson, M, Jakovljevic, MB, Javanbakht, M, John, D, Jonas, JB, Karimi, SM, Khang, YH, Khubchandani, J, Kim, YJ, Kinge, JM, Krohn, KJ, Kumar, GA, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Masiye, F, Meier, T, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mohammed, S, Nangia, V, Olgiati, S, Osman, AS, Owolabi, MO, Patel, T, Caicedo, AJP, Pereira, DM, Perelman, J, Polinder, Suzanne, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Ram, U, Ranabhat, CL, Roba, HS, Salama, J, Savic, M, Sepanlou, SG, Shrime, MG, Talongwa, RT, Te Ao, BJ, Tediosi, F, Tesema, AG, Thomson, AJ, Tobe-Gai, R, Topor-Madry, R, Undurraga, EA, Vasankari, T, Violante, FS, Werdecker, A, Wijeratne, T, Xu, G, Yonemoto, N, Younis, MZ, Yu, CH, Zaidi, Z, Zaki, ME, Murray, CJL, Global Burden D Hlth, F, and Public Health
Published: 2017

18. Future and potential spending on health 2015-40: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries

Author: Dieleman, JL, Campbell, M, Chapin, A, Eldrenkamp, E, Fan, VY, Haakenstad, A, Kates, J, Li, ZY, Matyasz, T, Micah, A, Reynolds, A, Sadat, N, Schneider, MT, Sorensen, R, Abbas, KM, Abera, SF, Kiadaliri, AA, Ahmed, MB, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Amini, E, Ammar, W, Antonio, CAT, Atey, TM, Avila-Burgos, L, Awasthi, A, Barac, A, Berheto, TM, Beyene, AS, Beyene, TJ, Birungi, C, Bizuayehu, HM, Breitborde, NJK, Cahuana-Hurtado, L, Castro, RE, Catala-Lopez, F, Dalal, K, Dandona, L, Dandona, R, Dharmaratne, SD, Dubey, M, Faro, A, Feigl, AB, Fischer, F, Fitchett, JRA, Foigt, N, Giref, AZ, Gupta, R, Hamidi, S, Harb, HL, Hay, SI, Hendrie, D, Horino, M, Jurisson, M, Jakovljevic, MB, Javanbakht, M, John, D, Jonas, JB, Karimi, SM, Khang, YH, Khubchandani, J, Kim, YJ, Kinge, JM, Krohn, KJ, Kumar, GA, Leung, R, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Malta, DC, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mohammed, S, Molla, G, Nangia, V, Olgiati, S, Owolabi, MO, Patel, T, Caicedo, AJP, Pereira, DM, Perelman, J, Polinder, Suzanne, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Ram, U, Ranabhat, CL, Roba, HS, Savic, M, Sepanlou, SG, Te Ao, BJ, Tesema, AG, Thomson, AJ, Tobe-Gai, R, Topor-Madry, R, Undurraga, EA, Vargas, V, Vasankari, T, Violante, FS, Wijeratne, T, Xu, GL, Yonemoto, N, Younis, MZ, Yu, CH, Zaidi, Z, Zaki, ME, Murray, CJL, Global Burden D Hlth, F, and Public Health
Published: 2017

19. Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Feigin, VL, Abajobir, AA, Abate, KH, Abd-Allah, F, Abdulle, AM, Abera, SF, Abyu, GY, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, AT, Ansari, H, Anwari, P, Arnlov, J, Asayesh, H, Asgedom, SW, Atey, TM, Avila-Burgos, L, Avokpaho, EFGA, Azarpazhooh, MR, Barac, A, Barboza, M, Barker-Collo, SL, Baernighausen, T, Bedi, N, Beghi, E, Bennett, DA, Bensenor, IM, Berhane, A, Betsu, BD, Bhaumik, S, Birlik, SM, Biryukov, S, Boneya, DJ, Bulto, LN, Carabin, H, Casey, D, Castaneda-Orjuela, CA, Catala-Lopez, F, Chen, H, Chitheer, AA, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, deVeber, GA, Dharmaratne, SD, Do, HP, Dokova, K, Dorsey, ER, Ellenbogen, RG, Eskandarieh, S, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Foreman, KJ, Geleijnse, JM, Gillum, RF, Giussani, G, Goldberg, EM, Gona, PN, Goulart, AC, Gugnani, HC, Gupta, R, Hachinski, V, Hamadeh, RR, Hambisa, M, Hankey, GJ, Hareri, HA, Havmoeller, R, Hay, SI, Heydarpour, P, Hotez, PJ, Jakovljevic, MMB, Javanbakht, M, Jeemon, P, Jonas, JB, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, PN, Khader, YS, Khalil, IA, Khan, EA, Khang, Y-H, Khoja, AT, Khubchandani, J, Kulkarni, C, Kim, D, Kim, YJ, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, RV, Defo, BK, Kumar, GA, Kumar, R, Kyu, HH, Larsson, A, Lavados, PM, Li, Y, Liang, X, Liben, ML, Lo, WD, Logroscino, G, Lotufo, PA, Loy, CT, Mackay, MT, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, LG, Massano, J, Mazidi, M, McAlinden, C, Mehata, S, Mehndiratta, MM, Memish, ZA, Mendoza, W, Mengistie, MA, Mensah, GA, Meretoja, A, Mezgebe, HB, Miller, TR, Mishra, SR, Ibrahim, NM, Mohammadi, A, Mohammed, KE, Mohammed, S, Mokdad, AH, Moradi-Lakeh, M, Velasquez, IM, Musa, KI, Naghavi, M, Ngunjiri, JW, Nguyen, CT, Nguyen, G, Nguyen, QL, Nguyen, TH, Nichols, E, Ningrum, DN, Nong, VM, Norrving, B, Noubiap, JJN, Ogbo, FA, Owolabi, MO, Pandian, JD, Parmar, PG, Pereira, DM, Petzold, M, Phillips, MR, Piradov, MA, Poulton, RG, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rahman, MH, Rai, RK, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, AMN, Rezai, MS, Roth, GA, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, MA, Samy, AM, Santalucia, P, Santos, IS, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, MI, Sepanlou, SG, Shaikh, MA, Shakir, R, Shamsizadeh, M, Sheth, KN, Shigematsu, M, Shoman, H, Silva, DA, Smith, M, Sobngwi, E, Sposato, LA, Stanaway, JD, Stein, DJ, Steiner, TJ, Stovner, LJ, Abdulkader, RS, Szoeke, CEI, Tabares-Seisdedos, R, Tanne, D, Theadom, AM, Thrift, AG, Tirschwell, DL, Topor-Madry, R, Tran, BX, Truelsen, T, Tuem, KB, Ukwaja, KN, Uthman, OA, Varakin, YY, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Wadilo, F, Wakayo, T, Wallin, MT, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, CS, Woldu, MA, Wolfe, CDA, Xavier, D, Xu, G, Yano, Y, Yimam, HH, Yonemoto, N, Yu, C, Zaidi, Z, Zaki, MES, Zunt, JR, Murray, CJL, Vos, T, Disorders, GBDN, Feigin, V, Abajobir, A, Abate, K, Abd-Allah, F, Abdulle, A, Abera, S, Abyu, G, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Akinyemi, R, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, A, Ansari, H, Anwari, P, Ärnlöv, J, Asayesh, H, Asgedom, S, Atey, T, Avila-Burgos, L, Frinel, E, Avokpaho, G, Barac, A, Barboza, M, Barker-Collo, S, Bärnighausen, T, Bedi, N, Beghi, E, Bennett, D, Bensenor, I, Berhane, A, Betsu, B, Bhaumik, S, Birlik, S, Biryukov, S, Boneya, D, Bulto, L, Carabin, H, Casey, D, Castañeda-Orjuela, C, Catalá-López, F, Chen, H, Chitheer, A, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, Veber, G, Dharmaratne, S, Do, H, Dokova, K, Dorsey, E, Ellenbogen, R, Eskandarieh, S, Farvid, M, Fereshtehnejad, S, Fischer, F, Foreman, K, Geleijnse, J, Gillum, R, Giussani, G, Gona, P, Goulart, A, Gugnani, H, Gupta, R, Hamadeh, R, Hambisa, M, Hankey, G, Hareri, H, Havmoeller, R, Hay, S, Heydarpour, P, Hotez, P, Jakovljevic, M, Javanbakht, M, Jeemon, P, Jonas, J, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, P, Khader, Y, Khalil, I, Khan, E, Khang, Y, Tawfih, A, Khoja, A, Khubchandani, J, Kim, D, Kim, Y, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, R, Defo, B, Kumar, G, Kumar, R, Kyu, H, Larsson, A, Lavados, P, Li, Y, Liang, X, Liben, M, Lo, W, Logroscino, G, Lotufo, P, Loy, C, Mackay, M, El Razek, H, El Razek, M, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, L, Massano, J, Mazidi, M, Mcalinden, C, Mehata, S, Mehndiratta, M, Memish, Z, Mendoza, W, Mengistie, M, Mensah, G, Meretoja, A, Mezgebe, H, Miller, T, Mishra, S, Ibrahim, N, Mohammadi, A, Mohammed, K, Mohammed, S, Mokdad, A, Moradi-Lakeh, M, Velasquez, I, Musa, K, Naghavi, M, Ngunjiri, J, Nguyen, C, Nguyen, G, Le Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nong, V, Norrving, B, Noubiap, J, Ogbo, F, Owolabi, M, Pandian, J, Petzold, M, Phillips, M, Piradov, M, Poulton, R, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, R, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, A, Rezai, M, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, M, Samy, A, Santalucia, P, Santos, I, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, M, Sepanlou, S, Shaikh, M, Shakir, R, Shamsizadeh, M, Sheth, K, Shigematsu, M, Shoman, H, Silva, D, Smith, M, Sobngwi, E, Sposato, L, Stein, D, Steiner, T, Stovner, L, Abdulkader, R, EI Szoeke, C, Tabarés-Seisdedos, R, Tanne, D, Theadom, A, Thrift, A, Tirschwell, D, Topor-Madry, R, Tran, B, Truelsen, T, Tuem, K, Ukwaja, K, Uthman, O, Varakin, Y, Vasankari, T, Venketasubramanian, N, Vlassov, V, Wadilo, F, Wakayo, T, Wallin, M, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, C, Woldu, M, Wolfe, C, Xavier, D, Xu, G, Yano, Y, Yimam, H, Yonemoto, N, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zunt, J, Murray, C, and Vos, T
Subjects: Cost of Illness, Nutrition and Disease, GBD, Voeding en Ziekte, Humans, Life Science, Quality-Adjusted Life Years, Nervous System Diseases, Global Health, Article, Global Burden of Disease, VLAG
Abstract: Background Comparable data on the global and country-specific burden of neurological disorders and their trends are\ud crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors\ud (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians\ud specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to\ud neurological disorders in 2015 and its relationship with country development level.\ud \ud Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years\ud of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification\ud have been previously spread across multiple disease groupings. The more inclusive grouping of neurological\ud disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer’s disease and other dementias, Parkinson’s\ud disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse\ud headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed\ud results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and\ud fertility, to identify patterns associated with development and how countries fare against expected outcomes relative\ud to their level of development.\ud \ud Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval\ud (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4\ud [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tensiontype\ud headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication\ud overuse headache (58·5 [50·8 to 67·4 million]), and Alzheimer’s disease and other dementias (46·0\ud [40·2 to 52·7 million]). Between 1990 and 2015, the number of deaths from neurological disorders increased by\ud 36·7%, and the number of DALYs by 7·4%. These increases occurred despite decreases in age-standardised rates of\ud death and DALYs of 26·1% and 29·7%, respectively; stroke and communicable neurological disorders were\ud responsible for most of these decreases. Communicable neurological disorders were the largest cause of DALYs in\ud countries with low SDI. Stroke rates were highest at middle levels of SDI and lowest at the highest SDI. Most of the\ud changes in DALY rates of neurological disorders with development were driven by changes in YLLs.\ud \ud Interpretation Neurological disorders are an important cause of disability and death worldwide. Globally, the burden\ud of neurological disorders has increased substantially over the past 25 years because of expanding population numbers\ud and ageing, despite substantial decreases in mortality rates from stroke and communicable neurological disorders.\ud The number of patients who will need care by clinicians with expertise in neurological conditions will continue to\ud grow in coming decades. Policy makers and health-care providers should be aware of these trends to provide adequate\ud services.\ud \ud Funding Bill & Melinda Gates Foundation.
Published: 2017

20. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016 : a systematic analysis for the Global Burden of Disease Study 2016

Author: Hay, SI, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abebo, TA, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Ärnlöv, Johan, Larsson, Anders, Zaki, MES, Zegeye, EA, Zenebe, ZM, Zhang, X, Zheng, Y, Zhou, M, Zipkin, B, Zodpey, S, Zoeckler, L, Zuhlke, LJ, and Murray, CJL
Subjects: Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Public Health, Global Health, Social Medicine and Epidemiology
Abstract: BACKGROUND: Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI). METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate. FINDINGS: The highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9-78·6) for females and 72·0 years (68·8-75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0-49·5]) and for males was in Lesotho (41·5 years [39·0-44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97-6·48) for both sexes combined. Global HALE increased by 6·04 years (5·74-6·27) for males and 6·49 years (6·08-6·77) for females, whereas HALE at age 65 years increased by 1·78 years (1·61-1·93) for males and 1·96 years (1·69-2·13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2·3% [-5·9 to 0·9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16·1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally. INTERPRETATION: At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs offset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention efforts, and development assistance for health, including financial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support. FUNDING: Bill & Melinda Gates Foundation.
Published: 2017

21. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013

Author: Vos, T, Barber, Rm, Bell, B, Bertozzi Villa, A, Biryukov, S, Bolliger, I, Charlson, F, Davis, A, Degenhardt, L, Dicker, D, Duan, L, Erskine, H, Feigin, Vl, Ferrari, Aj, Fitzmaurice, C, Fleming, T, Graetz, N, Guinovart, C, Haagsma, J, Hansen, Gm, Hanson, Sw, Heuton, Kr, Higashi, H, Kassebaum, N, Kyu, H, Laurie, E, Liang, X, Lofgren, K, Lozano, R, Macintyre, Mf, Moradi Lakeh, M, Naghavi, M, Nguyen, G, Odell, S, Ortblad, K, Roberts, Da, Roth, Ga, Sandar, L, Serina, Pt, Stanaway, Jd, Steiner, C, Thomas, B, Vollset, Se, Whiteford, H, Wolock, Tm, Ye, P, Zhou, M, Ãvila, Ma, Aasvang, Gm, Abbafati, C, Abbasoglu, Ozgoren, A, Abd Allah, F, Abdel, Aziz, Abera, Sf, Aboyans, V, Abraham, Jp, Abraham, B, Abubakar, I, Abu Raddad, Lj, Abu Rmeileh, Nm, Aburto, Tc, Achoki, T, Ackerman, In, Adelekan, A, Ademi, Z, Adou, Ak, Adsuar, Jc, Arnlov, J, Agardh, Ee, Khabouri, Al, Alam, Ss, Alasfoor, D, Albittar, Mi, Alegretti, Ma, Aleman, Av, Alemu, Za, Alfonso Cristancho, R, Alhabib, S, Ali, R, Alla, F, Allebeck, P, Allen, Pj, Almazroa, Ma, Alsharif, U, Alvarez, E, Alvis, Guzman, Ameli, N, O, Amini, H, Ammar, W, Anderson, Bo, Anderson, Hr, Antonio, Ca, Anwari, P, Apfel, H, Arsenijevic, Vs, Artaman, A, Asghar, Rj, Assadi, R, Atkins, Ls, Atkinson, C, Badawi, A, Bahit, Mc, Bakfalouni, T, Balakrishnan, K, Balalla, S, Banerjee, A, Barker Collo, Sl, Barquera, S, Barregard, L, Barrero, Lh, Basu, S, Basu, A, Baxter, A, Beardsley, J, Bedi, N, Beghi, E, Bekele, T, Bell, Ml, Benjet, C, Bennett, Da, Bensenor, Im, Benzian, H, Bernabe, E, Beyene, Tj, Bhala, N, Bhalla, A, Bhutta, Z, Bienhoff, K, Bikbov, B, Bin, Abdulhak, Blore, Jd, Blyth, Fm, Bohensky, Ma, Bora, Basara, B, Borges, G, Bornstein, Nm, Bose, D, Boufous, S, Bourne, Rr, Boyers, Ln, Brainin, M, Brauer, M, Brayne, Ce, Brazinova, A, Breitborde, Nj, Brenner, H, Briggs, Ad, Brooks, Pm, Brown, J, Brugha, Ts, Buchbinder, R, Buckle, Gc, Bukhman, G, Bulloch, Ag, Burch, M, Burnett, R, Cardenas, R, Cabral, Nl, Campos, Nonato, Campuzano, Ir, Carapetis, Jc, Carpenter, Do, Caso, V, Castaneda Orjuela, Ca, Catala Lopez, F, Chadha, Vk, Chang, Jc, Chen, H, Chen, W, Chiang, Pp, Chimed Ochir, O, Chowdhury, R, Christensen, H, Christophi, Ca, Chugh, Ss, Cirillo, Massimo, Coggeshall, M, Cohen, A, Colistro, V, Colquhoun, Sm, Contreras, Ag, Cooper, Lt, Cooper, C, Cooperrider, K, Coresh, J, Cortinovis, M, Criqui, Mh, Crump, Ja, Cuevas Nasu, L, Dandona, R, Dandona, L, Dansereau, E, Dantes, Hg, Dargan, Pi, Davey, G, Davitoiu, Dv, Dayama, A, La, De, Cruz, Gongora, De, V, Vega, La, De, Sf, Leo, D, Del, Pozo, Cruz, Dellavalle, Rp, Deribe, K, Derrett, S, Des, Jarlais, Dessalegn, M, Deveber, Ga, Dharmaratne, Sd, Diaz Torne, C, Ding, El, Dokova, K, Dorsey, Er, Driscoll, Tr, Duber, H, Durrani, Am, Edmond, Km, Ellenbogen, Rg, Endres, M, Ermakov, Sp, Eshrati, B, Esteghamati, A, Estep, K, Fahimi, S, Farzadfar, F, Fay, Df, Felson, Dt, Fereshtehnejad, Sm, Fernandes, Jg, Ferri, Cp, Flaxman, A, Foigt, N, Foreman, Kj, Fowkes, Fg, Franklin, Rc, Furst, T, Futran, Nd, Gabbe, Bj, Gankpe, Fg, Garcia, Guerra, Geleijnse, Fa, Gessner, Bd, Gibney, Kb, Gillum, Rf, Ginawi, Ia, Giroud, M, Giussani, G, Goenka, S, Goginashvili, K, Gona, P, Gonzalez, De, Cosio, T, Gosselin, Ra, Gotay, Cc, Goto, A, Gouda, Hn, Guerrant, Rl, Gugnani, Hc, Gunnell, D, Gupta, R, Gutierrez, Ra, Hafezi Nejad, N, Hagan, H, Halasa, Y, Hamadeh, Rr, Hamavid, H, Hammami, M, Hankey, Gj, Hao, Y, Harb, Hl, Haro, Jm, Havmoeller, R, Hay, Rj, Hay, S, Hedayati, Mt, Heredia, Pi, Heydarpour, P, Hijar, M, Hoek, Hw, Hoffman, Hj, Hornberger, Jc, Hosgood, Hd, Hossain, M, Hotez, Pj, Hoy, Dg, Hsairi, M, Hu, H, Hu, G, Huang, Jj, Huang, C, Huiart, L, Husseini, A, Iannarone, M, Iburg, Km, Innos, K, Inoue, M, Jacobsen, Kh, Jassal, Sk, Jeemon, P, Jensen, Pn, Jha, V, Jiang, G, Jiang, Y, Jonas, Jb, Joseph, J, Juel, K, Kan, H, Karch, A, Karimkhani, C, Karthikeyan, G, Katz, R, Kaul, A, Kawakami, N, Kazi, Ds, Kemp, Ah, Kengne, Ap, Khader, Ys, Khalifa, Se, Khan, Ea, Khan, G, Khang, Yh, Khonelidze, I, Kieling, C, Kim, D, Kim, S, Kimokoti, Rw, Kinfu, Y, Kinge, Jm, Kissela, Bm, Kivipelto, M, Knibbs, L, Knudsen, Ak, Kokubo, Y, Kosen, S, Kramer, A, Kravchenko, M, Krishnamurthi, Rv, Krishnaswami, S, Kuate, Defo, Kucuk, B, Bicer, B, Kuipers, Ej, Kulkarni, Vs, Kumar, K, Kumar, Ga, Kwan, Gf, Lai, T, Lalloo, R, Lam, H, Lan, Q, Lansingh, Vc, Larson, H, Larsson, A, Lawrynowicz, Ae, Leasher, Jl, Lee, Jt, Leigh, J, Leung, R, Levi, M, Li, B, Li, Y, Liang, J, Lim, S, Lin, Hh, Lind, M, Lindsay, Mp, Lipshultz, Se, Liu, S, Lloyd, Bk, Lockett, Ohno, S, Logroscino, G, Looker, Kj, Lopez, Ad, Lopez Olmedo, N, Lortet Tieulent, J, Lotufo, Pa, Low, N, Lucas, Rm, Lunevicius, R, Lyons, Ra, Ma, J, Ma, S, Mackay, Mt, Majdan, M, Malekzadeh, R, Mapoma, Cc, Marcenes, W, March, Lm, Margono, C, Marks, Gb, Marzan, Mb, Masci, Jr, Mason Jones, Aj, Matzopoulos, Rg, Mayosi, Bm, Mazorodze, Tt, Mcgill, Nw, Mcgrath, Jj, Mckee, M, Mclain, A, Mcmahon, Bj, Meaney, Pa, Mehndiratta, Mm, Mejia Rodriguez, F, Mekonnen, W, Melaku, Ya, Meltzer, M, Memish, Za, Mensah, G, Meretoja, A, Mhimbira, Fa, Micha, R, Miller, Tr, Mills, Ej, Mitchell, Pb, Mock, Cn, Moffitt, Te, Mohamed, Ibrahim, N, Mohammad, Ka, Mokdad, Ah, Mola, Gl, Monasta, L, Montico, M, Montine, Tj, Moore, Ar, Moran, Ae, Morawska, L, Mori, R, Moschandreas, J, Moturi, Wn, Moyer, M, Mozaffarian, D, Mueller, Uo, Mukaigawara, M, Murdoch, Me, Murray, J, Murthy, Ks, Naghavi, P, Nahas, Z, Naheed, A, Naidoo, Ks, Naldi, L, Nand, D, Nangia, V, Narayan, Km, Nash, D, Nejjari, C, Neupane, Sp, Newman, Lm, Newton, Cr, Ng, M, Ngalesoni, Fn, Nhung, Nt, Nisar, Mi, Nolte, S, Norheim, Of, Norman, Re, Norrving, B, Nyakarahuka, L, Ih, Oh, Ohkubo, T, Omer, Sb, Opio, Jn, Ortiz, A, Pandian, Jd, Panelo, Ci, Papachristou, C, Park, Ek, Parry, Cd, Caicedo, Aj, Patten, Sb, Paul, Vk, Pavlin, Bi, Pearce, N, Pedraza, Ls, Pellegrini, Ca, Pereira, Dm, Perez Ruiz, Fp, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, Cb, Petzold, M, Phillips, Mr, Phillips, D, Phillips, B, Piel, Fb, Plass, D, Poenaru, D, Polanczyk, Gv, Polinder, S, Pope, Ca, Popova, S, Poulton, Rg, Pourmalek, F, Prabhakaran, D, Prasad, Nm, Qato, D, Quistberg, Da, Rafay, A, Rahimi, K, Rahimi Movaghar, V, Rahman, Su, Raju, M, Rakovac, I, Rana, Sm, Razavi, H, Refaat, A, Rehm, J, Remuzzi, G, Resnikoff, S, Ribeiro, Al, Riccio, Pm, Richardson, L, Richardus, Jh, Riederer, Am, Robinson, M, Roca, A, Rodriguez, A, Rojas Rueda, D, Ronfani, L, Rothenbacher, D, Roy, N, Ruhago, Gm, Sabin, N, Sacco, Rl, Ksoreide, K, Saha, S, Sahathevan, R, Sahraian, Ma, Sampson, U, Sanabria, Jr, Sanchez Riera, L, Santos, Is, Satpathy, M, Saunders, Je, Sawhney, M, Saylan, Mi, Scarborough, P, Schoettker, B, Schneider, Ij, Schwebel, Dc, Scott, Jg, Seedat, S, Sepanlou, Sg, Serdar, B, Servan Mori, Ee, Shackelford, K, Shaheen, A, Shahraz, S, Shamah, Levy, T, Shangguan, S, She, J, Sheikhbahaei, S, Shepard, Ds, Shi, P, Shibuya, K, Shinohara, Y, Shiri, R, Shishani, K, Shiue, I, Shrime, Mg, Sigfusdottir, Id, Silberberg, Dh, Simard, Ep, Sindi, S, Singh, Ja, Singh, L, Skirbekk, V, Sliwa, K, Soljak, M, Soneji, S, Soshnikov, Ss, Speyer, P, Sposato, La, Sreeramareddy, Ct, Stoeckl, H, Stathopoulou, Vk, Steckling, N, Stein, Mb, Stein, Dj, Steiner, Tj, Stewart, A, Stork, E, Stovner, Lj, Stroumpoulis, K, Sturua, L, Sunguya, Bf, Swaroop, M, Sykes, Bl, Tabb, Km, Takahashi, K, Tan, F, Tandon, N, Tanne, D, Tanner, M, Tavakkoli, M, Taylor, Hr, Ao, Te, Temesgen, Am, Ten, Have, M, Tenkorang, Ey, Terkawi, As, Theadom, Am, Thomas, E, Thorne Lyman, Al, Thrift, Ag, Tleyjeh, Im, Tonelli, M, Topouzis, F, Towbin, Ja, Toyoshima, H, Traebert, J, Tran, Bx, Trasande, L, Trillini, M, Truelsen, T, Trujillo, U, Tsilimbaris, M, Tuzcu, Em, Ukwaja, Kn, Undurraga, Ea, Uzun, Sb, Van, Brakel, Van, Wh, Vijver, De, Van, S, Dingenen, R, Van, Gool, Varakin, Yy, Vasankari, Tj, Vavilala, Ms, Veerman, Lj, Velasquez, Melendez, G, Venketasubramanian, N, Vijayakumar, L, Villalpando, S, Violante, Fs, Vlassov, Vv, Waller, S, Wallin, Mt, Wan, X, Wang, L, Wang, J, Wang, Y, Warouw, Ts, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Werdecker, A, Wessells, Kr, Westerman, R, Wilkinson, Jd, Williams, Hc, Williams, Tn, Woldeyohannes, Sm, Wolfe, Cd, Wong, Jq, Wong, H, Woolf, Ad, Wright, Jl, Wurtz, B, Xu, G, Yang, G, Yano, Y, Yenesew, Ma, Yentur, Gk, Yip, P, Yonemoto, N, Yoon, Sj, Younis, M, Yu, C, Kim, Ky, Zaki, Mel, Zhang, Y, Zhao, Z, Zhao, Y, Zhu, J, Zonies, D, Zunt, Jr, Salomon, Ja, Murray, C. J., Vos, T, Barber, Rm, Bell, B, Bertozzi-Villa, A, Biryukov, S, Bolliger, I, Charlson, F, Davis, A, Degenhardt, L, Dicker, D, Duan, L, Erskine, H, Feigin, Vl, Ferrari, Aj, Fitzmaurice, C, Fleming, T, Graetz, N, Guinovart, C, Haagsma, J, Hansen, Gm, Hanson, Sw, Heuton, Kr, Higashi, H, Kassebaum, N, Kyu, H, Laurie ELiang, X, Lofgren, K, Lozano, R, Macintyre, Mf, Moradi-Lakeh, M, Naghavi, M, Nguyen, G, Odell, S, Ortblad, K, Roberts, Da, Roth, Ga, Sandar, L, Serina, Pt, Stanaway, Jd, Steiner, C, Thomas, B, Vollset, Se, Whiteford, H, Wolock, Tm, Ye, P, Zhou, M, Ãvila, Ma, Aasvang, Gm, Abbafati, C, Abbasoglu Ozgoren, A, Abd-Allah, F, Abdel Aziz MI, Abera, Sf, Aboyans, V, Abraham, Jp, Abraham, B, Abubakar, I, Abu-Raddad, Lj, Abu-Rmeileh, Nm, Aburto, Tc, Achoki TAckerman IN, Adelekan, A, Ademi, Z, Adou, Ak, Adsuar, Jc, Arnlov, J, Agardh, Ee, Al Khabouri MJ, Alam, S, Alasfoor, D, Albittar, Mi, Alegretti MAAleman AV, Alemu, Za, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Alla, F, Allebeck, P, Allen, Pj, Almazroa, Ma, Alsharif, U, Alvarez, E, Alvis-Guzman NAmeli, O, Amini, H, Ammar, W, Anderson, Bo, Anderson, Hr, Antonio, Ca, Anwari, P, Apfel, H, Arsenijevic, V, Artaman, A, Asghar, Rj, Assadi, R, Atkins, L, Atkinson, C, Badawi, A, Bahit, Mc, Bakfalouni, T, Balakrishnan, K, Balalla, S, Banerjee, A, Barker-Collo, Sl, Barquera, S, Barregard, L, Barrero LHBasu, S, Basu, A, Baxter, A, Beardsley, J, Bedi, N, Beghi, E, Bekele, T, Bell, Ml, Benjet, C, Bennett, Da, Bensenor, Im, Benzian, H, Bernabe, E, Beyene TJBhala, N, Bhalla, A, Bhutta, Z, Bienhoff, K, Bikbov, B, Bin Abdulhak, A, Blore, Jd, Blyth, Fm, Bohensky, Ma, Bora Basara, B, Borges, G, Bornstein, Nm, Bose, D, Boufous, S, Bourne, Rr, Boyers, Ln, Brainin, M, Brauer, M, Brayne, Ce, Brazinova, A, Breitborde, Nj, Brenner, H, Briggs, Ad, Brooks, Pm, Brown JBrugha TS, Buchbinder, R, Buckle, Gc, Bukhman, G, Bulloch, Ag, Burch, M, Burnett, R, Cardenas, R, Cabral, Nl, Campos Nonato IR, Campuzano JCCarapetis JR, Carpenter, Do, Caso, V, Castaneda-Orjuela, Ca, Catala-Lopez, F, Chadha, Vk, Chang, Jc, Chen, H, Chen, W, Chiang, Pp, Chimed-Ochir, O, Chowdhury, R, Christensen, H, Christophi, Ca, Chugh, S, Cirillo, M, Coggeshall, M, Cohen, A, Colistro, V, Colquhoun, Sm, Contreras, Ag, Cooper LTCooper, C, Cooperrider, K, Coresh, J, Cortinovis, M, Criqui, Mh, Crump, Ja, Cuevas-Nasu, L, Dandona, R, Dandona, L, Dansereau, E, Dantes, Hg, Dargan, Pi, Davey, G, Davitoiu, Dv, Dayama, A, De la Cruz-Gongora, V, de la Vega SF, De Leo, D, del Pozo-Cruz, B, Dellavalle, Rp, Deribe, K, Derrett, S, Des Jarlais DC, Dessalegn, M, Deveber, Ga, Dharmaratne, Sd, Diaz-Torne, C, Ding, El, Dokova, K, Dorsey, Er, Driscoll, Tr, Duber, H, Durrani, Am, Edmond, Km, Ellenbogen, Rg, Endres, M, Ermakov, Sp, Eshrati, B, Esteghamati, A, Estep, K, Fahimi, S, Farzadfar, F, Fay, Df, Felson, Dt, Fereshtehnejad SMFernandes JG, Ferri, Cp, Flaxman, A, Foigt, N, Foreman, Kj, Fowkes, Fg, Franklin, Rc, Furst, T, Futran, Nd, Gabbe, Bj, Gankpe, Fg, Garcia-Guerra FAGeleijnse JM, Gessner, Bd, Gibney, Kb, Gillum, Rf, Ginawi, Ia, Giroud, M, Giussani, G, Goenka, S, Goginashvili, K, Gona, P, Gonzalez de Cosio TGosselin RA, Gotay, Cc, Goto, A, Gouda, Hn, Guerrant, Rl, Gugnani, Hc, Gunnell, D, Gupta, R, Gutierrez, Ra, Hafezi-Nejad, N, Hagan HHalasa, Y, Hamadeh, Rr, Hamavid, H, Hammami, M, Hankey, Gj, Hao, Y, Harb, Hl, Haro, Jm, Havmoeller, R, Hay, Rj, Hay, S, Hedayati, Mt, Heredia Pi IB, Heydarpour, P, Hijar, M, Hoek, Hw, Hoffman, Hj, Hornberger, Jc, Hosgood, Hd, Hossain, M, Hotez, Pj, Hoy, Dg, Hsairi, M, Hu, H, Hu, G, Huang JJHuang, C, Huiart, L, Husseini, A, Iannarone, M, Iburg, Km, Innos, K, Inoue, M, Jacobsen, Kh, Jassal, Sk, Jeemon, P, Jensen, Pn, Jha, V, Jiang, G, Jiang YJonas JB, Joseph, J, Juel, K, Kan, H, Karch, A, Karimkhani, C, Karthikeyan, G, Katz, R, Kaul, A, Kawakami, N, Kazi, D, Kemp, Ah, Kengne, Ap, Khader, Y, Khalifa, Se, Khan, Ea, Khan, G, Khang, Yh, Khonelidze, I, Kieling, C, Kim, D, Kim, S, Kimokoti, Rw, Kinfu, Y, Kinge, Jm, Kissela, Bm, Kivipelto MKnibbs, L, Knudsen, Ak, Kokubo, Y, Kosen, S, Kramer, A, Kravchenko, M, Krishnamurthi, Rv, Krishnaswami, S, Kuate Defo, B, Kucuk Bicer, B, Kuipers EJKulkarni VS, Kumar, K, Kumar, Ga, Kwan, Gf, Lai, T, Lalloo, R, Lam, H, Lan, Q, Lansingh, Vc, Larson, H, Larsson, A, Lawrynowicz, Ae, Leasher, Jl, Lee, Jt, Leigh, J, Leung, R, Levi, M, Li, B, Li, Y, Liang, J, Lim, S, Lin, Hh, Lind, M, Lindsay, Mp, Lipshultz, Se, Liu, S, Lloyd, Bk, Lockett Ohno, S, Logroscino, G, Looker, Kj, Lopez, Ad, Lopez-Olmedo, N, Lortet-Tieulent, J, Lotufo, Pa, Low, N, Lucas, Rm, Lunevicius, R, Lyons, Ra, Ma, J, Ma, S, Mackay MTMajdan, M, Malekzadeh, R, Mapoma, Cc, Marcenes, W, March, Lm, Margono, C, Marks, Gb, Marzan, Mb, Masci, Jr, Mason-Jones, Aj, Matzopoulos RGMayosi BM, Mazorodze, Tt, Mcgill, Nw, Mcgrath, Jj, Mckee, M, Mclain, A, Mcmahon, Bj, Meaney, Pa, Mehndiratta, Mm, Mejia-Rodriguez, F, Mekonnen, W, Melaku, Ya, Meltzer, M, Memish, Za, Mensah, G, Meretoja, A, Mhimbira, Fa, Micha, R, Miller, Tr, Mills, Ej, Mitchell, Pb, Mock, Cn, Moffitt TEMohamed Ibrahim, N, Mohammad, Ka, Mokdad, Ah, Mola, Gl, Monasta, L, Montico, M, Montine, Tj, Moore, Ar, Moran, Ae, Morawska, L, Mori RMoschandreas, J, Moturi, Wn, Moyer, M, Mozaffarian, D, Mueller, Uo, Mukaigawara, M, Murdoch, Me, Murray, J, Murthy, K, Naghavi, P, Nahas ZNaheed, A, Naidoo, K, Naldi, L, Nand, D, Nangia, V, Narayan, Km, Nash, D, Nejjari, C, Neupane, Sp, Newman, Lm, Newton, Cr, Ng, M, Ngalesoni FNNhung NT, Nisar, Mi, Nolte, S, Norheim, Of, Norman, Re, Norrving, B, Nyakarahuka, L, Oh, Ih, Ohkubo, T, Omer, Sb, Opio, Jn, Ortiz, A, Pandian JDPanelo CI, Papachristou, C, Park, Ek, Parry, Cd, Caicedo, Aj, Patten, Sb, Paul, Vk, Pavlin, Bi, Pearce, N, Pedraza, L, Pellegrini, Ca, Pereira, Dm, Perez-Ruiz, Fp, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, Cb, Petzold, M, Phillips, Mr, Phillips, D, Phillips, B, Piel, Fb, Plass, D, Poenaru, D, Polanczyk GVPolinder, S, Pope, Ca, Popova, S, Poulton, Rg, Pourmalek, F, Prabhakaran, D, Prasad, Nm, Qato, D, Quistberg, Da, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, Su, Raju, M, Rakovac, I, Rana, Sm, Razavi, H, Refaat, A, Rehm, J, Remuzzi, G, Resnikoff, S, Ribeiro, Al, Riccio, Pm, Richardson, L, Richardus, Jh, Riederer, Am, Robinson, M, Roca, A, Rodriguez, A, Rojas-Rueda, D, Ronfani, L, Rothenbacher, D, Roy, N, Ruhago, Gm, Sabin, N, Sacco, Rl, Ksoreide, K, Saha, S, Sahathevan, R, Sahraian, Ma, Sampson, U, Sanabria, Jr, Sanchez-Riera, L, Santos, I, Satpathy, M, Saunders, Je, Sawhney, M, Saylan MIScarborough, P, Schoettker, B, Schneider, Ij, Schwebel, Dc, Scott, Jg, Seedat, S, Sepanlou, Sg, Serdar, B, Servan-Mori, Ee, Shackelford, K, Shaheen AShahraz, S, Shamah Levy, T, Shangguan, S, She, J, Sheikhbahaei, S, Shepard, D, Shi, P, Shibuya, K, Shinohara, Y, Shiri, R, Shishani, K, Shiue, I, Shrime, Mg, Sigfusdottir, Id, Silberberg, Dh, Simard, Ep, Sindi, S, Singh, Ja, Singh, L, Skirbekk, V, Sliwa, K, Soljak, M, Soneji, S, Soshnikov, S, Speyer PSposato LA, Sreeramareddy, Ct, Stoeckl, H, Stathopoulou, Vk, Steckling, N, Stein, Mb, Stein, Dj, Steiner, Tj, Stewart, A, Stork, E, Stovner LJStroumpoulis, K, Sturua, L, Sunguya, Bf, Swaroop, M, Sykes, Bl, Tabb, Km, Takahashi, K, Tan, F, Tandon, N, Tanne, D, Tanner, M, Tavakkoli, M, Taylor, Hr, Te Ao BJ, Temesgen, Am, Ten Have, M, Tenkorang, Ey, Terkawi, A, Theadom, Am, Thomas, E, Thorne-Lyman, Al, Thrift, Ag, Tleyjeh, Im, Tonelli, M, Topouzis, F, Towbin, Ja, Toyoshima, H, Traebert, J, Tran, Bx, Trasande, L, Trillini, M, Truelsen, T, Trujillo, U, Tsilimbaris, M, Tuzcu, Em, Ukwaja KNUndurraga EA, Uzun, Sb, van Brakel WH, van de Vijver, S, Van Dingenen, R, van Gool CH, Varakin, Yy, Vasankari, Tj, Vavilala, M, Veerman LJVelasquez-Melendez, G, Venketasubramanian, N, Vijayakumar, L, Villalpando, S, Violante, F, Vlassov, Vv, Waller, S, Wallin, Mt, Wan, X, Wang, L, Wang, J, Wang, Y, Warouw, T, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Werdecker, A, Wessells, Kr, Westerman, R, Wilkinson, Jd, Williams HCWilliams TN, Woldeyohannes, Sm, Wolfe, Cd, Wong, Jq, Wong, H, Woolf, Ad, Wright, Jl, Wurtz, B, Xu, G, Yang, G, Yano, Y, Yenesew, Ma, Yentur GKYip, P, Yonemoto, N, Yoon, Sj, Younis, M, Yu, C, Kim, Ky, Zaki Mel, S, Zhang, Y, Zhao, Z, Zhao, Y, Zhu, J, Zonies, D, Zunt, Jr, Salomon, Ja, Murray, Cj., Vos, Theo, Barber, Ryan M., Bell, Brad, Bertozzi-Villa, Amelia, Biryukov, Stan, Bolliger, Ian, Charlson, Fiona, Davis, Adrian, Degenhardt, Louisa, Dicker, Daniel, Duan, Leilei, Erskine, Holly, Feigin, Valery L., Ferrari, Alize J., Fitzmaurice, Christina, Fleming, Thoma, Graetz, Nichola, Guinovart, Caterina, Haagsma, Juanita, Hansen, Gillian M., Hanson, Sarah Wulf, Heuton, Kyle R., Higashi, Hideki, Kassebaum, Nichola, Kyu, Hmwe, Laurie, Evan, Liang, Xiofeng, Lofgren, Katherine, Lozano, Rafael, Macintyre, Michael F., Moradi-Lakeh, Maziar, Naghavi, Mohsen, Nguyen, Grant, Odell, Shaun, Ortblad, Katrina, Roberts, David Allen, Roth, Gregory A., Sandar, Logan, Serina, Peter T., Stanaway, Jeffrey D., Steiner, Caitlyn, Thomas, Bernadette, Vollset, Stein Emil, Whiteford, Harvey, Wolock, Timothy M., Ye, Pengpeng, Zhou, Maigeng, Ãvila, Marco A., Aasvang, Gunn Marit, Abbafati, Cristiana, Ozgoren, Ayse Abbasoglu, Abd-Allah, Foad, Aziz, Muna I. Abdel, Abera, Semaw F., Aboyans, Victor, Abraham, Jerry P., Abraham, Biju, Abubakar, Ibrahim, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M.E., Aburto, Tania C., Achoki, Tom, Ackerman, Ilana N., Adelekan, Ademola, Ademi, Zanfina, Adou, Arsène K., Adsuar, Josef C., Arnlov, Johan, Agardh, Emilie E., Al Khabouri, Mazin J., Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I., Alegretti, Miguel A., Aleman, Alicia V., Alemu, Zewdie A., Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Alla, Francoi, Allebeck, Peter, Allen, Peter J., Almazroa, Mohammad Abdulaziz, Alsharif, Ubai, Alvarez, Elena, Alvis-Guzman, Nelson, Ameli, Omid, Amini, Heresh, Ammar, Walid, Anderson, Benjamin O., Anderson, H. Ro, Antonio, Carl Abelardo T., Anwari, Palwasha, Apfel, Henry, Arsenijevic, Valentain S. Arsic, Artaman, Al, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Atkinson, Charle, Badawi, Alaa, Bahit, Maria C., Bakfalouni, Talal, Balakrishnan, Kalpana, Balalla, Shivanthi, Banerjee, Amitava, Barker-Collo, Suzanne L., Barquera, Simon, Barregard, Lar, Barrero, Lope H., Basu, Sanjay, Basu, Arindam, Baxter, Amanda, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bekele, Tolesa, Bell, Michelle L., Benjet, Corina, Bennett, Derrick A., Bensenor, Isabela M., Benzian, Habib, Bernabe, Eduardo, Beyene, Tariku J., Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar, Bienhoff, Kelly, Bikbov, Bori, Abdulhak, Aref Bin, Blore, Jed D., Blyth, Fiona M., Bohensky, Megan A., Basara, Berrak Bora, Borges, Guilherme, Bornstein, Natan M., Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R., Boyers, Lindsay N., Brainin, Michael, Brauer, Michael, Brayne, Carol E.G., Brazinova, Alexandra, Breitborde, Nicholas J.K., Brenner, Hermann, Briggs, Adam D.M., Brooks, Peter M., Brown, Jonathan, Brugha, Traolach S., Buchbinder, Rachelle, Buckle, Geoffrey C., Bukhman, Gene, Bulloch, Andrew G., Burch, Michael, Burnett, Richard, Cardenas, Rosario, Cabral, Norberto L., Campos-Nonato, Ismael R., Campuzano, Julio C., Carapetis, Jonathan R., Carpenter, David O., Caso, Valeria, Castaneda-Orjuela, Carlos A., Catala-Lopez, Ferran, Chadha, Vineet K., Chang, Jung-Chen, Chen, Honglei, Chen, Wanqing, Chiang, Peggy P., Chimed-Ochir, Odgerel, Chowdhury, Rajiv, Christensen, Hanne, Christophi, Costas A., Chugh, Sumeet S., Cirillo, Massimo, Coggeshall, Megan, Cohen, Aaron, Colistro, Valentina, Colquhoun, Samantha M., Contreras, Alejandra G., Cooper, Leslie T., Cooper, Cyru, Cooperrider, Kimberly, Coresh, Josef, Cortinovis, Monica, Criqui, Michael H., Crump, John A., Cuevas-Nasu, Lucia, Dandona, Rakhi, Dandona, Lalit, Dansereau, Emily, Dantes, Hector G., Dargan, Paul I., Davey, Gail, Davitoiu, Dragos V., Dayama, Anand, De La Cruz-Gongora, Vanessa, De La Vega, Shelley F., De Leo, Diego, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Deribe, Kebede, Derrett, Sarah, Des Jarlais, Don C., Dessalegn, Muluken, Deveber, Gabrielle A., Dharmaratne, Samath D., Diaz-Torne, Cesar, Ding, Eric L., Dokova, Klara, Dorsey, E.R., Driscoll, Tim R., Duber, Herbert, Durrani, Adnan M., Edmond, Karen M., Ellenbogen, Richard G., Endres, Matthia, Ermakov, Sergey P., Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Fahimi, Saman, Farzadfar, Farshad, Fay, Derek F.J., Felson, David T., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Ferri, Cluesa P., Flaxman, Abraham, Foigt, Nataliya, Foreman, Kyle J., Fowkes, F Gerry R., Franklin, Richard C., Furst, Thoma, Futran, Neal D., Gabbe, Belinda J., Gankpe, Fortune G., Garcia-Guerra, Francisco A., Geleijnse, Johanna M., Gessner, Bradford D., Gibney, Katherine B., Gillum, Richard F., Ginawi, Ibrahim A., Giroud, Maurice, Giussani, Giorgia, Goenka, Shifalika, Goginashvili, Ketevan, Gona, Philimon, De Cosio, Teresita Gonzalez, Gosselin, Richard A., Gotay, Carolyn C., Goto, Atsushi, Gouda, Hebe N., Guerrant, Richard L., Gugnani, Harish C., Gunnell, David, Gupta, Rajeev, Gupta, Rahul, Gutierrez, Reyna A., Hafezi-Nejad, Nima, Hagan, Holly, Halasa, Yara, Hamadeh, Randah R., Hamavid, Hannah, Hammami, Mouhanad, Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Haro, Josep Maria, Havmoeller, Rasmu, Hay, Roderick J., Hay, Simon, Hedayati, Mohammad T., Pi, Ileana B. Heredia, Heydarpour, Pouria, Hijar, Martha, Hoek, Hans W., Hoffman, Howard J., Hornberger, John C., Hosgood, H. Dean, Hossain, Mazeda, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Hu, Howard, Hu, Guoqing, Huang, John J., Huang, Cheng, Huiart, Laetitia, Husseini, Abdullatif, Iannarone, Marissa, Iburg, Kim M., Innos, Kaire, Inoue, Manami, Jacobsen, Kathryn H., Jassal, Simerjot K., Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jonas, Jost B., Joseph, Jonathan, Juel, Knud, Kan, Haidong, Karch, Andre, Karimkhani, Chante, Karthikeyan, Ganesan, Katz, Ronit, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre P., Khader, Yousef S., Khalifa, Shams Eldin A.H., Khan, Ejaz A., Khan, Gulfaraz, Khang, Young-Ho, Khonelidze, Irma, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kimokoti, Ruth W., Kinfu, Yohanne, Kinge, Jonas M., Kissela, Brett M., Kivipelto, Miia, Knibbs, Luke, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kosen, Soewarta, Kramer, Alexander, Kravchenko, Michael, Krishnamurthi, Rita V., Krishnaswami, Sanjay, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J., Kulkarni, Veena S., Kumar, Kaushalendra, Kumar, G Anil, Kwan, Gene F., Lai, Taavi, Lalloo, Ratilal, Lam, Hilton, Lan, Qing, Lansingh, Van C., Larson, Heidi, Larsson, Ander, Lawrynowicz, Alicia E.B., Leasher, Janet L., Lee, Jong-Tae, Leigh, Jame, Leung, Ricky, Levi, Miriam, Li, Bin, Li, Yichong, Li, Yongmei, Liang, Juan, Lim, Stephen, Lin, Hsien-Ho, Lind, Margaret, Lindsay, M Patrice, Lipshultz, Steven E., Liu, Shiwei, Lloyd, Belinda K., Ohno, Summer Lockett, Logroscino, Giancarlo, Looker, Katharine J., Lopez, Alan D., Lopez-Olmedo, Nancy, Lortet-Tieulent, Joannie, Lotufo, Paulo A., Low, Nicola, Lucas, Robyn M., Lunevicius, Raimunda, Lyons, Ronan A., Ma, Jixiang, Ma, Stefan, Mackay, Mark T., Majdan, Marek, Malekzadeh, Reza, Mapoma, Christopher C., Marcenes, Wagner, March, Lyn M., Margono, Chri, Marks, Guy B., Marzan, Melvin B., Masci, Joseph R., Mason-Jones, Amanda J., Matzopoulos, Richard G., Mayosi, Bongani M., Mazorodze, Tasara T., Mcgill, Neil W., Mcgrath, John J., Mckee, Martin, Mclain, Abby, Mcmahon, Brian J., Meaney, Peter A., Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Mekonnen, Wubegzier, Melaku, Yohannes A., Meltzer, Michele, Memish, Ziad A., Mensah, George, Meretoja, Atte, Mhimbira, Francis A., Micha, Renata, Miller, Ted R., Mills, Edward J., Mitchell, Philip B., Mock, Charles N., Moffitt, Terrie E., Ibrahim, Norlinah Mohamed, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L., Monasta, Lorenzo, Montico, Marcella, Montine, Thomas J., Moore, Ami R., Moran, Andrew E., Morawska, Lidia, Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N., Moyer, Madeline, Mozaffarian, Dariush, Mueller, Ulrich O., Mukaigawara, Mitsuru, Murdoch, Michele E., Murray, Joseph, Murthy, Kinnari S., Naghavi, Paria, Nahas, Ziad, Naheed, Aliya, Naidoo, Kovin S., Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, K.M. Venkat, Nash, Deni, Nejjari, Chakib, Neupane, Sudan P., Newman, Lori M., Newton, Charles R., Ng, Marie, Ngalesoni, Frida N., Nhung, Nguyen T., Nisar, Muhammad I., Nolte, Sandra, Norheim, Ole F., Norman, Rosana E., Norrving, Bo, Nyakarahuka, Luke, Oh, In Hwan, Ohkubo, Takayoshi, Omer, Saad B., Opio, John Nelson, Ortiz, Alberto, Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Papachristou, Christina, Park, Eun-Kee, Parry, Charles D., Caicedo, Angel J. Paternina, Patten, Scott B., Paul, Vinod K., Pavlin, Boris I., Pearce, Neil, Pedraza, Lilia S., Pellegrini, Carlos A., Pereira, David M., Perez-Ruiz, Fernando P., Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie B., Petzold, Max, Phillips, Michael R., Phillips, David, Phillips, Bryan, Piel, Frederic B., Plass, Dietrich, Poenaru, Dan, Polanczyk, Guilherme V., Polinder, Suzanne, Pope, C.A., Popova, Svetlana, Poulton, Richie G., Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Noela M., Qato, Dima, Quistberg, D.A., Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Sajjad Ur, Raju, Murugesan, Rakovac, Ivo, Rana, Saleem M., Razavi, Homie, Refaat, Amany, Rehm, Jurgen, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L., Riccio, Patricia M., Richardson, Lee, Richardus, Jan Hendrik, Riederer, Anne M., Robinson, Margot, Roca, Anna, Rodriguez, Alina, Rojas-Rueda, David, Ronfani, Luca, Rothenbacher, Dietrich, Roy, Nobhojit, Ruhago, George M., Sabin, Nsanzimana, Sacco, Ralph L., Ksoreide, Kjetil, Saha, Sukanta, Sahathevan, Ramesh, Sahraian, Mohammad Ali, Sampson, Uchechukwu, Sanabria, Juan R., Sanchez-Riera, Lidia, Santos, Itamar S., Satpathy, Maheswar, Saunders, James E., Sawhney, Monika, Saylan, Mete I., Scarborough, Peter, Schoettker, Ben, Schneider, Ione J.C., Schwebel, David C., Scott, James G., Seedat, Soraya, Sepanlou, Sadaf G., Serdar, Berrin, Servan-Mori, Edson E., Shackelford, Katya, Shaheen, Amira, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shepard, Donald S., Shi, Peilin, Shibuya, Kenji, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Sindi, Shireen, Singh, Jasvinder A., Singh, Lavanya, Skirbekk, Vegard, Sliwa, Karen, Soljak, Michael, Soneji, Samir, Soshnikov, Sergey S., Speyer, Peter, Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stoeckl, Heidi, Stathopoulou, Vasiliki Kalliopi, Steckling, Nadine, Stein, Murray B., Stein, Dan J., Steiner, Timothy J., Stewart, Andrea, Stork, Eden, Stovner, Lars J., Stroumpoulis, Konstantino, Sturua, Lela, Sunguya, Bruno F., Swaroop, Mamta, Sykes, Bryan L., Tabb, Karen M., Takahashi, Ken, Tan, Feng, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Taylor, Hugh R., Te Ao, Braden J., Temesgen, Awoke Misganaw, Have, Margreet Ten, Tenkorang, Eric Yeboah, Terkawi, Abdullah Sulieman, Theadom, Alice M., Thomas, Elissa, Thorne-Lyman, Andrew L., Thrift, Amanda G., Tleyjeh, Imad M., Tonelli, Marcello, Topouzis, Foti, Towbin, Jeffrey A., Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X., Trasande, Leonardo, Trillini, Matia, Truelsen, Thoma, Trujillo, Ulise, Tsilimbaris, Miltiadi, Tuzcu, Emin M., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen B., Van Brakel, Wim H., Van De Vijver, Steven, Dingenen, Rita Van, Van Gool, Coen H., Varakin, Yuri Y., Vasankari, Tommi J., Vavilala, Monica S., Veerman, Lennert J., Velasquez-Melendez, Gustavo, Venketasubramanian, Narayanaswamy, Vijayakumar, Lakshmi, Villalpando, Salvador, Violante, Francesco S., Vlassov, Vasiliy V., Waller, Stephen, Wallin, Mitchell T., Wan, Xia, Wang, Linhong, Wang, Jianli, Wang, Yanping, Warouw, Tati S., Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wessells, K. Ryan, Westerman, Ronny, Wilkinson, James D., Williams, Hywel C., Williams, Thomas N., Woldeyohannes, Solomon M., Wolfe, Charles D.A., Wong, John Q., Wong, Haidong, Woolf, Anthony D., Wright, Jonathan L., Wurtz, Brittany, Xu, Gelin, Yang, Gonghuan, Yano, Yuichiro, Yenesew, Muluken A., Yentur, Gokalp K., Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa, Yu, Chuanhua, Kim, Kim Yun, Zaki, Maysaa El Sayed, Zhang, Yong, Zhao, Zheng, Zhao, Yong, Zhu, Jun, Zonies, David, Zunt, Joseph R., Salomon, Joshua A., Murray, Christopher J.L., Cell biology, Gastroenterology & Hepatology, Epidemiology, Health Technology Assessment (HTA), and Public Health
Subjects: Male, Gerontology, Nutrition and Disease, Epidemiology, years lived with disability, Global burden of disease, acute and chronic diseases, countries, Prevalence, Disease, Global Health, Medical and Health Sciences, Conduct disorder, Otitis-media, Cost of Illness, Residence Characteristics, Voeding en Ziekte, 80 and over, Global health, 2.2 Factors relating to the physical environment, 2.1 Biological and endogenous factors, countries, Aetiology, Child, Aged, 80 and over, Medicine(all), education.field_of_study, ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, Incidence, Mortality rate, Incidence (epidemiology), Pain Research, Neglected Diseases, Alcohol dependence, General Medicine, Middle Aged, Global burden of disease, Global Burden of Disease Study 2013 Collaborators, Mental Health, Infectious Diseases, Attention deficit/Hyperactivity disorder, Burden of Illness, Child, Preschool, Acute Disease, Female, Life Sciences & Biomedicine, Adult, medicine.medical_specialty, Adolescent, GBD 2013, Population, acute and chronic diseases, Young Adult, Mental-disorders, Age Distribution, Medicine, General & Internal, Weights, General & Internal Medicine, medicine, Humans, Life Science, Disabled Persons, Sex Distribution, Preschool, education, Developing Countries, VLAG, Aged, Science & Technology, business.industry, Developed Countries, Cutaneous Leishmaniasis, Infant, Newborn, Infant, Health outcomes, Newborn, medicine.disease, Comorbidity, Brain Disorders, years lived with disability, Good Health and Well Being, Disease, injury, incidence, prevalence, YLDs, GBD 2010, Chronic Disease, Wounds and Injuries, business, 2.4 Surveillance and distribution, Iron-deficiency, Demography
Abstract: Summary Background Up-to-date evidence about levels and trends in disease and injury incidence, prevalence, and years lived with disability (YLDs) is an essential input into global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013), we estimated these quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013. Methods Estimates were calculated for disease and injury incidence, prevalence, and YLDs using GBD 2010 methods with some important refinements. Results for incidence of acute disorders and prevalence of chronic disorders are new additions to the analysis. Key improvements include expansion to the cause and sequelae list, updated systematic reviews, use of detailed injury codes, improvements to the Bayesian meta-regression method (DisMod-MR), and use of severity splits for various causes. An index of data representativeness, showing data availability, was calculated for each cause and impairment during three periods globally and at the country level for 2013. In total, 35 620 distinct sources of data were used and documented to calculated estimates for 301 diseases and injuries and 2337 sequelae. The comorbidity simulation provides estimates for the number of sequelae, concurrently, by individuals by country, year, age, and sex. Disability weights were updated with the addition of new population-based survey data from four countries. Findings Disease and injury were highly prevalent; only a small fraction of individuals had no sequelae. Comorbidity rose substantially with age and in absolute terms from 1990 to 2013. Incidence of acute sequelae were predominantly infectious diseases and short-term injuries, with over 2 billion cases of upper respiratory infections and diarrhoeal disease episodes in 2013, with the notable exception of tooth pain due to permanent caries with more than 200 million incident cases in 2013. Conversely, leading chronic sequelae were largely attributable to non-communicable diseases, with prevalence estimates for asymptomatic permanent caries and tension-type headache of 2·4 billion and 1·6 billion, respectively. The distribution of the number of sequelae in populations varied widely across regions, with an expected relation between age and disease prevalence. YLDs for both sexes increased from 537·6 million in 1990 to 764·8 million in 2013 due to population growth and ageing, whereas the age-standardised rate decreased little from 114·87 per 1000 people to 110·31 per 1000 people between 1990 and 2013. Leading causes of YLDs included low back pain and major depressive disorder among the top ten causes of YLDs in every country. YLD rates per person, by major cause groups, indicated the main drivers of increases were due to musculoskeletal, mental, and substance use disorders, neurological disorders, and chronic respiratory diseases; however HIV/AIDS was a notable driver of increasing YLDs in sub-Saharan Africa. Also, the proportion of disability-adjusted life years due to YLDs increased globally from 21·1% in 1990 to 31·2% in 2013. Interpretation Ageing of the world's population is leading to a substantial increase in the numbers of individuals with sequelae of diseases and injuries. Rates of YLDs are declining much more slowly than mortality rates. The non-fatal dimensions of disease and injury will require more and more attention from health systems. The transition to non-fatal outcomes as the dominant source of burden of disease is occurring rapidly outside of sub-Saharan Africa. Our results can guide future health initiatives through examination of epidemiological trends and a better understanding of variation across countries. Funding Bill & Melinda Gates Foundation. Background Up-to-date evidence about levels and trends in disease and injury incidence, prevalence, and years lived with disability (YLDs) is an essential input into global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013), we estimated these quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013. Methods Estimates were calculated for disease and injury incidence, prevalence, and YLDs using GBD 2010 methods with some important refinements. Results for incidence of acute disorders and prevalence of chronic disorders are new additions to the analysis. Key improvements include expansion to the cause and sequelae list, updated systematic reviews, use of detailed injury codes, improvements to the Bayesian meta-regression method (DisMod-MR), and use of severity splits for various causes. An index of data representativeness, showing data availability, was calculated for each cause and impairment during three periods globally and at the country level for 2013. In total, 35 620 distinct sources of data were used and documented to calculated estimates for 301 diseases and injuries and 2337 sequelae. The comorbidity simulation provides estimates for the number of sequelae, concurrently, by individuals by country, year, age, and sex. Disability weights were updated with the addition of new population-based survey data from four countries. Findings Disease and injury were highly prevalent; only a small fraction of individuals had no sequelae. Comorbidity rose substantially with age and in absolute terms from 1990 to 2013. Incidence of acute sequelae were predominantly infectious diseases and short-term injuries, with over 2 billion cases of upper respiratory infections and diarrhoeal disease episodes in 2013, with the notable exception of tooth pain due to permanent caries with more than 200 million incident cases in 2013. Conversely, leading chronic sequelae were largely attributable to non-communicable diseases, with prevalence estimates for asymptomatic permanent caries and tension-type headache of 2·4 billion and 1·6 billion, respectively. The distribution of the number of sequelae in populations varied widely across regions, with an expected relation between age and disease prevalence. YLDs for both sexes increased from 537·6 million in 1990 to 764·8 million in 2013 due to population growth and ageing, whereas the age-standardised rate decreased little from 114·87 per 1000 people to 110·31 per 1000 people between 1990 and 2013. Leading causes of YLDs included low back pain and major depressive disorder among the top ten causes of YLDs in every country. YLD rates per person, by major cause groups, indicated the main drivers of increases were due to musculoskeletal, mental, and substance use disorders, neurological disorders, and chronic respiratory diseases; however HIV/AIDS was a notable driver of increasing YLDs in sub-Saharan Africa. Also, the proportion of disability-adjusted life years due to YLDs increased globally from 21·1% in 1990 to 31·2% in 2013. Interpretation Ageing of the world's population is leading to a substantial increase in the numbers of individuals with sequelae of diseases and injuries. Rates of YLDs are declining much more slowly than mortality rates. The non-fatal dimensions of disease and injury will require more and more attention from health systems. The transition to non-fatal outcomes as the dominant source of burden of disease is occurring rapidly outside of sub-Saharan Africa. Our results can guide future health initiatives through examination of epidemiological trends and a better understanding of variation across countries. Funding Bill & Melinda Gates Foundation.
Published: 2015
Full Text: View/download PDF

22. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016 : a systematic analysis for the Global Burden of Disease Study 2016.

Author: Naghavi, M, Abajobir, AA, Abbafati, C, Abbas, KM, Abd-Allah, F, Abera, SF, Aboyans, V, Adetokunboh, O, Afshin, A, Agrawal, A, Ahmadi, A, Ahmed, MB, Ärnlöv, Johan, Larsson, Anders, Zaidi, Z, Zaki, MES, Zegeye, EA, Zenebe, ZM, Zerfu, TA, Zhang, AL, Zhang, X, Zipkin, B, Zodpey, S, Lopez, AD, Murray, CJL, Naghavi, M, Abajobir, AA, Abbafati, C, Abbas, KM, Abd-Allah, F, Abera, SF, Aboyans, V, Adetokunboh, O, Afshin, A, Agrawal, A, Ahmadi, A, Ahmed, MB, Ärnlöv, Johan, Larsson, Anders, Zaidi, Z, Zaki, MES, Zegeye, EA, Zenebe, ZM, Zerfu, TA, Zhang, AL, Zhang, X, Zipkin, B, Zodpey, S, Lopez, AD, and Murray, CJL
Abstract: BACKGROUND: Monitoring levels and trends in premature mortality is crucial to understanding how societies can address prominent sources of early death. The Global Burden of Disease 2016 Study (GBD 2016) provides a comprehensive assessment of cause-specific mortality for 264 causes in 195 locations from 1980 to 2016. This assessment includes evaluation of the expected epidemiological transition with changes in development and where local patterns deviate from these trends. METHODS: We estimated cause-specific deaths and years of life lost (YLLs) by age, sex, geography, and year. YLLs were calculated from the sum of each death multiplied by the standard life expectancy at each age. We used the GBD cause of death database composed of: vital registration (VR) data corrected for under-registration and garbage coding; national and subnational verbal autopsy (VA) studies corrected for garbage coding; and other sources including surveys and surveillance systems for specific causes such as maternal mortality. To facilitate assessment of quality, we reported on the fraction of deaths assigned to GBD Level 1 or Level 2 causes that cannot be underlying causes of death (major garbage codes) by location and year. Based on completeness, garbage coding, cause list detail, and time periods covered, we provided an overall data quality rating for each location with scores ranging from 0 stars (worst) to 5 stars (best). We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to generate estimates for each location, year, age, and sex. We assessed observed and expected levels and trends of cause-specific deaths in relation to the Socio-demographic Index (SDI), a summary indicator derived from measures of average income per capita, educational attainment, and total fertility, with locations grouped into quintiles by SDI. Relative to GBD 2015, we expanded the GBD cause hierarchy by 18 causes of death for GBD 2016. FINDINGS: The quality of available data vari, For a complete list of authors see: https://doi.org/10.1016/S0140-6736(17)32152-9
Published: 2017
Full Text: View/download PDF

23. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016 : a systematic analysis for the Global Burden of Disease Study 2016.

Author: Vos, T, Abajobir, AA, Abate, KH, Abbafati, c, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abebo, TA, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Ackerman, IN, Adamu, AA, Adetokunboh, O, Afarideh, M, Afshin, A, Ärnlöv, Johan, Larsson, Anders, Zhang, X, Zhou, M, Zipkin, B, Zodpey, S, Zuhlke, LJ, Murray, CJL, Vos, T, Abajobir, AA, Abate, KH, Abbafati, c, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abebo, TA, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Ackerman, IN, Adamu, AA, Adetokunboh, O, Afarideh, M, Afshin, A, Ärnlöv, Johan, Larsson, Anders, Zhang, X, Zhou, M, Zipkin, B, Zodpey, S, Zuhlke, LJ, and Murray, CJL
Abstract: BACKGROUND: As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016. METHODS: We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). FINDINGS: Globally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57·6 million (95% uncertainty interval [UI] 40·8-75·9 million [7·2%, 6·0-8·3]), 45·1 million (29·0-62·8 million [5·6%, 4·0-7·2]), 36·3 million (25·3-50·9 million [4·5%, 3·8-5·3]), 34·7 million (23·0-49·6 million [4·3%, 3·5-5·2]), and 34·1 million (23·5-46·0 million [4·2%, 3·2-5·3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2·7% (95% UI 2·3-3·1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from no, For a complete list of authors see: https://doi.org/10.1016/S0140-6736(17)32154-2
Published: 2017
Full Text: View/download PDF

24. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970-2016 : a systematic analysis for the Global Burden of Disease Study 2016.

Author: Wang, H, Abajobir, AA, Abate, KH, Abbafati, C, Abbas ,, KM, Abd-Allah, F, Abera, sf, Abraha, HN, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adedoyin, RA, Adetifa, IMO, Adetokunboh, O, Afshin, A, Larsson, Anders, Zeeb, H, Zenebe, ZM, Zerfu, TA, Zhang, AL, Zhang, X, Zodpey, S, Zuhlke, LJ, Lopez, AD, Murray, CJL, Wang, H, Abajobir, AA, Abate, KH, Abbafati, C, Abbas ,, KM, Abd-Allah, F, Abera, sf, Abraha, HN, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adedoyin, RA, Adetifa, IMO, Adetokunboh, O, Afshin, A, Larsson, Anders, Zeeb, H, Zenebe, ZM, Zerfu, TA, Zhang, AL, Zhang, X, Zodpey, S, Zuhlke, LJ, Lopez, AD, and Murray, CJL
Abstract: BACKGROUND: Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. METHODS: We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15-60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to
Published: 2017
Full Text: View/download PDF

25. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: An analysis from the Global Burden of Disease Study 2016

Author: Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Kiadaliri, AA, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Antonio, CAT, Ansari, H, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Arthur Avokpaho, EFG, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, Brauer, M, Breitborde, NJK, Brugha, TS, Bulto, LNB, Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Kiadaliri, AA, Ahmadieh, H, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Antonio, CAT, Ansari, H, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Arthur Avokpaho, EFG, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, Brauer, M, Breitborde, NJK, Brugha, TS, and Bulto, LNB
Abstract: Background: The UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of "leaving no one behind". Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990-2016 for 188 countries, and then on the basis of these past trends, we projected indicators to 2030. Methods: We used standardised GBD 2016 methods to measure 37 health-related indicators from 1990 to 2016, an increase of four indicators since GBD 2015. We substantially revised the universal health coverage (UHC) measure, which focuses on coverage of essential health services, to also represent personal health-care access and quality for several non-communicable diseases. We transformed each indicator on a scale of 0-100, with 0 as the 25th percentile estimated between 1990 and 2030, and 100 as the 975th percentile during that time. An index representing all 37 health-related SDG indicators was constructed by taking the geometric mean of scaled indicators by target. On the basis of past trends, we produced projections of indicator values, using a weighted average of the indicator and country-specific annualised rates of change from 1990 to 2016 with weights for each annual rate of change based on out-of-sample validity. 24 of the currently measured health-related SDG indicators have defined SDG targets, against which we assessed attainment. Findings Globally, the median health-related SDG index was 567 (IQR 319-668) in 2016 and country-level performance markedly varied, with Singapore (868, 95% uncertainty interval 846-889), Iceland (860, 841-876), and Sweden (856, 818-878) having the highest levels in 2016 and Afghanistan (109, 96-119), the Central African Republic (110, 88-138), and Somalia (113, 95-131) recording the lowest. Between
Published: 2017

26. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

Author: Roth, GA, Johnson, C, Abajobir, A, Abd-Allah, F, Abera, SF, Abyu, G, Ahmed, M, Aksut, B, Alam, T, Alam, K, Alla, F, Alvis-Guzman, N, Amrock, S, Ansari, H, Ärnlöv, J, Asayesh, H, Atey, TM, Avila-Burgos, L, Awasthi, A, Banerjee, A, Barac, A, Bärnighausen, T, Barregard, L, Bedi, N, Belay Ketema, E, Bennett, D, Berhe, G, Bhutta, Z, Bitew, S, Carapetis, J, Carrero, JJ, Malta, DC, Castañeda-Orjuela, CA, Castillo-Rivas, J, Catalá-López, F, Choi, JY, Christensen, H, Cirillo, M, Cooper, L, Criqui, M, Cundiff, D, Damasceno, A, Dandona, L, Dandona, R, Davletov, K, Dharmaratne, S, Dorairaj, P, Dubey, M, Ehrenkranz, R, El Sayed Zaki, M, Faraon, EJA, Esteghamati, A, Farid, T, Farvid, M, Feigin, V, Ding, EL, Fowkes, G, Gebrehiwot, T, Gillum, R, Gold, A, Gona, P, Gupta, R, Habtewold, TD, Hafezi-Nejad, N, Hailu, T, Hailu, GB, Hankey, G, Hassen, HY, Abate, KH, Havmoeller, R, Hay, SI, Horino, M, Hotez, PJ, Jacobsen, K, James, S, Javanbakht, M, Jeemon, P, John, D, Jonas, J, Kalkonde, Y, Karimkhani, C, Kasaeian, A, Khader, Y, Khan, A, Khang, YH, Khera, S, Khoja, AT, Khubchandani, J, Kim, D, Kolte, D, Kosen, S, Krohn, KJ, Kumar, GA, Kwan, GF, Lal, DK, Larsson, A, Linn, S, Lopez, A, Lotufo, PA, El Razek, HMA, Roth, GA, Johnson, C, Abajobir, A, Abd-Allah, F, Abera, SF, Abyu, G, Ahmed, M, Aksut, B, Alam, T, Alam, K, Alla, F, Alvis-Guzman, N, Amrock, S, Ansari, H, Ärnlöv, J, Asayesh, H, Atey, TM, Avila-Burgos, L, Awasthi, A, Banerjee, A, Barac, A, Bärnighausen, T, Barregard, L, Bedi, N, Belay Ketema, E, Bennett, D, Berhe, G, Bhutta, Z, Bitew, S, Carapetis, J, Carrero, JJ, Malta, DC, Castañeda-Orjuela, CA, Castillo-Rivas, J, Catalá-López, F, Choi, JY, Christensen, H, Cirillo, M, Cooper, L, Criqui, M, Cundiff, D, Damasceno, A, Dandona, L, Dandona, R, Davletov, K, Dharmaratne, S, Dorairaj, P, Dubey, M, Ehrenkranz, R, El Sayed Zaki, M, Faraon, EJA, Esteghamati, A, Farid, T, Farvid, M, Feigin, V, Ding, EL, Fowkes, G, Gebrehiwot, T, Gillum, R, Gold, A, Gona, P, Gupta, R, Habtewold, TD, Hafezi-Nejad, N, Hailu, T, Hailu, GB, Hankey, G, Hassen, HY, Abate, KH, Havmoeller, R, Hay, SI, Horino, M, Hotez, PJ, Jacobsen, K, James, S, Javanbakht, M, Jeemon, P, John, D, Jonas, J, Kalkonde, Y, Karimkhani, C, Kasaeian, A, Khader, Y, Khan, A, Khang, YH, Khera, S, Khoja, AT, Khubchandani, J, Kim, D, Kolte, D, Kosen, S, Krohn, KJ, Kumar, GA, Kwan, GF, Lal, DK, Larsson, A, Linn, S, Lopez, A, Lotufo, PA, and El Razek, HMA
Abstract: Background The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world. Objectives The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden. Methods CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility. Results In 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75. Conclusions CVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.
Published: 2017

27. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015

Author: Barber, RM, Fullman, N, Sorensen, RJD, Bollyky, T, McKee, M, Nolte, E, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulle, AM, Abdurahman, AA, Abera, SF, Abraham, B, Abreha, GF, Adane, K, Adelekan, AL, Adetifa, IMO, Afshin, A, Agarwal, A, Agarwal, SK, Agarwal, S, Agrawal, A, Kiadaliri, AA, Ahmadi, A, Ahmed, KY, Ahmed, MB, Akinyemi, RO, Akinyemiju, TF, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alam, SS, Alemu, ZA, Alene, KA, Alexander, L, Ali, R, Ali, SD, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Martin, EA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Amo-Adjei, J, Amoako, YA, Anderson, BO, Androudi, S, Ansari, H, Ansha, MG, Antonio, CAT, Ärnlöv, J, Artaman, A, Asayesh, H, Assadi, R, Astatkie, A, Atey, TM, Atique, S, Atnafu, NT, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Quintanilla, BPA, Awasthi, A, Ayele, NN, Azzopardi, P, Saleem, HOB, Bärnighausen, T, Bacha, U, Badawi, A, Banerjee, A, Barac, A, Barboza, MA, Barker-Collo, SL, Barrero, LH, Basu, S, Baune, BT, Baye, K, Bayou, YT, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bello, AK, Bennett, DA, Bensenor, IM, Berhane, A, Bernabé, E, Bernal, OA, Beyene, AS, Beyene, TJ, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, HM, Bose, D, Brainin, M, Brauer, M, Brazinova, A, Breitborde, NJK, Brenner, H, Butt, ZA, Cárdenas, R, Cahuana-Hurtado, L, Campos-Nonato, IR, Car, J, Carrero, JJ, Casey, D, Caso, V, Castañeda-Orjuela, CA, Rivas, JC, Catalá-López, F, Cecilio, P, Cercy, K, Charlson, FJ, Chen, AZ, Chew, A, Chibalabala, M, Chibueze, CE, Chisumpa, VH, Chitheer, AA, Chowdhury, R, Christensen, H, Christopher, DJ, Ciobanu, LG, Cirillo, M, Coggeshall, MS, Cooper, LT, Cortinovis, M, Crump, JA, Dalal, K, Danawi, H, Dandona, L, Dandona, R, Dargan, PI, das Neves, J, Davey, G, Davitoiu, DV, Davletov, K, De Leo, D, Del Gobbo, LC, del Pozo-Cruz, B, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dey, S, Dharmaratne, SD, Dicker, D, Ding, EL, Dokova, K, Dorsey, ER, Doyle, KE, Dubey, M, Ehrenkranz, R, Ellingsen, CL, Elyazar, I, Enayati, A, Ermakov, SP, Eshrati, B, Esteghamati, A, Estep, K, Fürst, T, Faghmous, IDA, Fanuel, FBB, Faraon, EJA, Farid, TA, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Feigin, VL, Feigl, AB, Fereshtehnejad, S-M, Fernandes, JG, Fernandes, JC, Feyissa, TR, Fischer, F, Fitzmaurice, C, Fleming, TD, Foigt, N, Foreman, KJ, Forouzanfar, MH, Franklin, RC, Frostad, J, G/hiwot, TT, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gao, W, Garcia-Basteiro, AL, Gebre, T, Gebremedhin, AT, Gebremichael, MW, Gebru, AA, Gelaye, AA, Geleijnse, JM, Genova-Maleras, R, Gibney, KB, Giref, AZ, Gishu, MD, Giussani, G, Godwin, WW, Gold, A, Goldberg, EM, Gona, PN, Goodridge, A, Gopalani, SV, Goto, A, Graetz, N, Greaves, F, Griswold, M, Guban, PI, Gugnani, HC, Gupta, PC, Gupta, R, Gupta, T, Gupta, V, Habtewold, TD, Hafezi-Nejad, N, Haile, D, Hailu, AD, Hailu, GB, Hakuzimana, A, Hamadeh, RR, Hambisa, MT, Hamidi, S, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Hareri, HA, Haro, JM, Hassanvand, MS, Havmoeller, R, Hay, RJ, Hay, SI, Hendrie, D, Heredia-Pi, IB, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Htet, AS, Hu, G, Huang, H, Huang, JJ, Huntley, BM, Huynh, C, Iburg, KM, Ileanu, BV, Innos, K, Irenso, AA, Jahanmehr, N, Jakovljevic, MB, James, P, James, SL, Javanbakht, M, Jayaraman, SP, Jayatilleke, AU, Jeemon, P, Jha, V, John, D, Johnson, C, Johnson, SC, Jonas, JB, Juel, K, Kabir, Z, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, CK, Karimi, SM, Kasaeian, A, Kassebaum, NJ, Kastor, A, Katikireddi, SV, Kazanjan, K, Keiyoro, PN, Kemmer, L, Kemp, AH, Kengne, AP, Kerbo, AA, Kereselidze, M, Kesavachandran, CN, Khader, YS, Khalil, I, Khan, AR, Khan, EA, Khan, G, Khang, Y-H, Khoja, ATA, Khonelidze, I, Khubchandani, J, Kibret, GD, Kim, D, Kim, P, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kissoon, N, Kivipelto, M, Kokubo, Y, Kolk, A, Kolte, D, Kopec, JA, Kosen, S, Koul, PA, Koyanagi, A, Kravchenko, M, Krishnaswami, S, Krohn, KJ, Defo, BK, Bicer, BK, Kuipers, EJ, Kulkarni, VS, Kumar, GA, Kumsa, FA, Kutz, M, Kyu, HH, Lager, ACJ, Lal, A, Lal, DK, Lalloo, R, Lallukka, T, Lan, Q, Langan, SM, Lansingh, VC, Larson, HJ, Larsson, A, Laryea, DO, Latif, AA, Lawrynowicz, AEB, Leasher, JL, Leigh, J, Leinsalu, M, Leshargie, CT, Leung, J, Leung, R, Levi, M, Liang, X, Lim, SS, Lind, M, Linn, S, Lipshultz, SE, Liu, P, Liu, Y, Lo, L-T, Logroscino, G, Lopez, AD, Lorch, SA, Lotufo, PA, Lozano, R, Lunevicius, R, Lyons, RA, Macarayan, ERK, Mackay, MT, El Razek, HMA, El Razek, MMA, Mahdavi, M, Majeed, A, Malekzadeh, R, Malta, DC, Mantovani, LG, Manyazewal, T, Mapoma, CC, Marcenes, W, Marks, GB, Marquez, N, Martinez-Raga, J, Marzan, MB, Massano, J, Mathur, MR, Maulik, PK, Mazidi, M, McAlinden, C, McGrath, JJ, McNellan, C, Meaney, PA, Mehari, A, Mehndiratta, MM, Meier, T, Mekonnen, AB, Meles, KG, Memish, ZA, Mengesha, MM, Mengiste, DT, Mengistie, MA, Menota, BG, Mensah, GA, Mereta, ST, Meretoja, A, Meretoja, TJ, Mezgebe, HB, Micha, R, Millear, A, Mills, EJ, Minnig, S, Mirarefin, M, Mirrakhimov, EM, Mock, CN, Mohammad, KA, Mohammed, S, Mohanty, SK, Mokdad, AH, Mola, GLD, Molokhia, M, Monasta, L, Montico, M, Moradi-Lakeh, M, Moraga, P, Morawska, L, Mori, R, Moses, M, Mueller, UO, Murthy, S, Musa, KI, Nachega, JB, Nagata, C, Nagel, G, Naghavi, M, Naheed, A, Naldi, L, Nangia, V, Nascimento, BR, Negoi, I, Neupane, SP, Newton, CR, Ng, M, Ngalesoni, FN, Ngunjiri, JW, Nguyen, G, Ningrum, DNA, Nolte, S, Nomura, M, Norheim, OF, Norrving, B, Noubiap, JJN, Obermeyer, CM, Ogbo, FA, Oh, I-H, Okoro, A, Oladimeji, O, Olagunju, AT, Olivares, PR, Olsen, HE, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ortiz, A, Osborne, RH, Osman, M, Owolabi, MO, PA, M, Pain, AW, Pakhale, S, Castillo, EP, Pana, A, Papachristou, C, Parsaeian, M, Patel, T, Patton, GC, Paudel, D, Paul, VK, Pearce, N, Pereira, DM, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pesudovs, K, Petzold, M, Phillips, MR, Pigott, DM, Pillay, JD, Pinho, C, Polinder, S, Pond, CD, Prakash, V, Purwar, M, Qorbani, M, Quistberg, DA, Radfar, A, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rai, RK, Ram, U, Rana, SM, Rankin, Z, Rao, PV, Rao, PC, Rawaf, S, Rego, MAS, Reitsma, M, Remuzzi, G, Renzaho, AMNN, Resnikoff, S, Rezaei, S, Rezai, MS, Ribeiro, AL, Roba, HS, Rokni, MB, Ronfani, L, Roshandel, G, Roth, GA, Rothenbacher, D, Roy, NK, Sachdev, PS, Sackey, BB, Saeedi, MY, Safiri, S, Sagar, R, Sahraian, MA, Saleh, MM, Salomon, JA, Samy, AM, Sanabria, JR, Sanchez-Niño, MD, Sandar, L, Santos, IS, Santos, JV, Milicevic, MMS, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Savic, M, Sawhney, M, Saylan, MI, Schöttker, B, Schutte, AE, Schwebel, DC, Seedat, S, Seid, AM, Seifu, CN, Sepanlou, SG, Serdar, B, Servan-Mori, EE, Setegn, T, Shackelford, KA, Shaheen, A, Shahraz, S, Shaikh, MA, Shakh-Nazarova, M, Shamsipour, M, Islam, SMS, Sharma, J, Sharma, R, She, J, Sheikhbahaei, S, Shen, J, Shi, P, Shigematsu, M, Shin, M-J, Shiri, R, Shoman, H, Shrime, MG, Sibamo, ELS, Sigfusdottir, ID, Silva, DAS, Silveira, DGA, Sindi, S, Singh, A, Singh, JA, Singh, OP, Singh, PK, Singh, V, Sinke, AH, Sinshaw, AE, Skirbekk, V, Sliwa, K, Smith, A, Sobngwi, E, Soneji, S, Soriano, JB, Sousa, TCM, Sposato, LA, Sreeramareddy, CT, Stathopoulou, V, Steel, N, Steiner, C, Steinke, S, Stokes, MA, Stranges, S, Strong, M, Stroumpoulis, K, Sturua, L, Sufiyan, MB, Suliankatchi, RA, Sun, J, Sur, P, Swaminathan, S, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taffere, GR, Talongwa, RT, Tarajia, M, Tavakkoli, M, Taveira, N, Teeple, S, Tegegne, TK, Tehrani-Banihashemi, A, Tekelab, T, Tekle, DY, Shifa, GT, Terkawi, AS, Tesema, AG, Thakur, JS, Thomson, AJ, Tillmann, T, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Tortajada, M, Troeger, C, Truelsen, T, Tura, AK, Uchendu, US, Ukwaja, KN, Undurraga, EA, Uneke, CJ, Uthman, OA, van Boven, JFM, Van Dingenen, R, Varughese, S, Vasankari, T, Venketasubramanian, N, Violante, FS, Vladimirov, SK, Vlassov, VV, Vollset, SE, Vos, T, Wagner, JA, Wakayo, T, Waller, SG, Walson, JL, Wang, H, Wang, Y-P, Watkins, DA, Weiderpass, E, Weintraub, RG, Wen, C-P, Werdecker, A, Wesana, J, Westerman, R, Whiteford, HA, Wilkinson, JD, Wiysonge, CS, Woldeyes, BG, Wolfe, CDA, Won, S, Workicho, A, Workie, SB, Wubshet, M, Xavier, D, Xu, G, Yadav, AK, Yaghoubi, M, Yakob, B, Yan, LL, Yano, Y, Yaseri, M, Yimam, HH, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zambrana-Torrelio, C, Zapata, T, Zenebe, ZM, Zodpey, S, Zoeckler, L, Zuhlke, LJ, Murray, CJL, Barber, RM, Fullman, N, Sorensen, RJD, Bollyky, T, McKee, M, Nolte, E, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulle, AM, Abdurahman, AA, Abera, SF, Abraham, B, Abreha, GF, Adane, K, Adelekan, AL, Adetifa, IMO, Afshin, A, Agarwal, A, Agarwal, SK, Agarwal, S, Agrawal, A, Kiadaliri, AA, Ahmadi, A, Ahmed, KY, Ahmed, MB, Akinyemi, RO, Akinyemiju, TF, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alam, SS, Alemu, ZA, Alene, KA, Alexander, L, Ali, R, Ali, SD, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Martin, EA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Amo-Adjei, J, Amoako, YA, Anderson, BO, Androudi, S, Ansari, H, Ansha, MG, Antonio, CAT, Ärnlöv, J, Artaman, A, Asayesh, H, Assadi, R, Astatkie, A, Atey, TM, Atique, S, Atnafu, NT, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Quintanilla, BPA, Awasthi, A, Ayele, NN, Azzopardi, P, Saleem, HOB, Bärnighausen, T, Bacha, U, Badawi, A, Banerjee, A, Barac, A, Barboza, MA, Barker-Collo, SL, Barrero, LH, Basu, S, Baune, BT, Baye, K, Bayou, YT, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bello, AK, Bennett, DA, Bensenor, IM, Berhane, A, Bernabé, E, Bernal, OA, Beyene, AS, Beyene, TJ, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, HM, Bose, D, Brainin, M, Brauer, M, Brazinova, A, Breitborde, NJK, Brenner, H, Butt, ZA, Cárdenas, R, Cahuana-Hurtado, L, Campos-Nonato, IR, Car, J, Carrero, JJ, Casey, D, Caso, V, Castañeda-Orjuela, CA, Rivas, JC, Catalá-López, F, Cecilio, P, Cercy, K, Charlson, FJ, Chen, AZ, Chew, A, Chibalabala, M, Chibueze, CE, Chisumpa, VH, Chitheer, AA, Chowdhury, R, Christensen, H, Christopher, DJ, Ciobanu, LG, Cirillo, M, Coggeshall, MS, Cooper, LT, Cortinovis, M, Crump, JA, Dalal, K, Danawi, H, Dandona, L, Dandona, R, Dargan, PI, das Neves, J, Davey, G, Davitoiu, DV, Davletov, K, De Leo, D, Del Gobbo, LC, del Pozo-Cruz, B, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dey, S, Dharmaratne, SD, Dicker, D, Ding, EL, Dokova, K, Dorsey, ER, Doyle, KE, Dubey, M, Ehrenkranz, R, Ellingsen, CL, Elyazar, I, Enayati, A, Ermakov, SP, Eshrati, B, Esteghamati, A, Estep, K, Fürst, T, Faghmous, IDA, Fanuel, FBB, Faraon, EJA, Farid, TA, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Feigin, VL, Feigl, AB, Fereshtehnejad, S-M, Fernandes, JG, Fernandes, JC, Feyissa, TR, Fischer, F, Fitzmaurice, C, Fleming, TD, Foigt, N, Foreman, KJ, Forouzanfar, MH, Franklin, RC, Frostad, J, G/hiwot, TT, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gao, W, Garcia-Basteiro, AL, Gebre, T, Gebremedhin, AT, Gebremichael, MW, Gebru, AA, Gelaye, AA, Geleijnse, JM, Genova-Maleras, R, Gibney, KB, Giref, AZ, Gishu, MD, Giussani, G, Godwin, WW, Gold, A, Goldberg, EM, Gona, PN, Goodridge, A, Gopalani, SV, Goto, A, Graetz, N, Greaves, F, Griswold, M, Guban, PI, Gugnani, HC, Gupta, PC, Gupta, R, Gupta, T, Gupta, V, Habtewold, TD, Hafezi-Nejad, N, Haile, D, Hailu, AD, Hailu, GB, Hakuzimana, A, Hamadeh, RR, Hambisa, MT, Hamidi, S, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Hareri, HA, Haro, JM, Hassanvand, MS, Havmoeller, R, Hay, RJ, Hay, SI, Hendrie, D, Heredia-Pi, IB, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Htet, AS, Hu, G, Huang, H, Huang, JJ, Huntley, BM, Huynh, C, Iburg, KM, Ileanu, BV, Innos, K, Irenso, AA, Jahanmehr, N, Jakovljevic, MB, James, P, James, SL, Javanbakht, M, Jayaraman, SP, Jayatilleke, AU, Jeemon, P, Jha, V, John, D, Johnson, C, Johnson, SC, Jonas, JB, Juel, K, Kabir, Z, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, CK, Karimi, SM, Kasaeian, A, Kassebaum, NJ, Kastor, A, Katikireddi, SV, Kazanjan, K, Keiyoro, PN, Kemmer, L, Kemp, AH, Kengne, AP, Kerbo, AA, Kereselidze, M, Kesavachandran, CN, Khader, YS, Khalil, I, Khan, AR, Khan, EA, Khan, G, Khang, Y-H, Khoja, ATA, Khonelidze, I, Khubchandani, J, Kibret, GD, Kim, D, Kim, P, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kissoon, N, Kivipelto, M, Kokubo, Y, Kolk, A, Kolte, D, Kopec, JA, Kosen, S, Koul, PA, Koyanagi, A, Kravchenko, M, Krishnaswami, S, Krohn, KJ, Defo, BK, Bicer, BK, Kuipers, EJ, Kulkarni, VS, Kumar, GA, Kumsa, FA, Kutz, M, Kyu, HH, Lager, ACJ, Lal, A, Lal, DK, Lalloo, R, Lallukka, T, Lan, Q, Langan, SM, Lansingh, VC, Larson, HJ, Larsson, A, Laryea, DO, Latif, AA, Lawrynowicz, AEB, Leasher, JL, Leigh, J, Leinsalu, M, Leshargie, CT, Leung, J, Leung, R, Levi, M, Liang, X, Lim, SS, Lind, M, Linn, S, Lipshultz, SE, Liu, P, Liu, Y, Lo, L-T, Logroscino, G, Lopez, AD, Lorch, SA, Lotufo, PA, Lozano, R, Lunevicius, R, Lyons, RA, Macarayan, ERK, Mackay, MT, El Razek, HMA, El Razek, MMA, Mahdavi, M, Majeed, A, Malekzadeh, R, Malta, DC, Mantovani, LG, Manyazewal, T, Mapoma, CC, Marcenes, W, Marks, GB, Marquez, N, Martinez-Raga, J, Marzan, MB, Massano, J, Mathur, MR, Maulik, PK, Mazidi, M, McAlinden, C, McGrath, JJ, McNellan, C, Meaney, PA, Mehari, A, Mehndiratta, MM, Meier, T, Mekonnen, AB, Meles, KG, Memish, ZA, Mengesha, MM, Mengiste, DT, Mengistie, MA, Menota, BG, Mensah, GA, Mereta, ST, Meretoja, A, Meretoja, TJ, Mezgebe, HB, Micha, R, Millear, A, Mills, EJ, Minnig, S, Mirarefin, M, Mirrakhimov, EM, Mock, CN, Mohammad, KA, Mohammed, S, Mohanty, SK, Mokdad, AH, Mola, GLD, Molokhia, M, Monasta, L, Montico, M, Moradi-Lakeh, M, Moraga, P, Morawska, L, Mori, R, Moses, M, Mueller, UO, Murthy, S, Musa, KI, Nachega, JB, Nagata, C, Nagel, G, Naghavi, M, Naheed, A, Naldi, L, Nangia, V, Nascimento, BR, Negoi, I, Neupane, SP, Newton, CR, Ng, M, Ngalesoni, FN, Ngunjiri, JW, Nguyen, G, Ningrum, DNA, Nolte, S, Nomura, M, Norheim, OF, Norrving, B, Noubiap, JJN, Obermeyer, CM, Ogbo, FA, Oh, I-H, Okoro, A, Oladimeji, O, Olagunju, AT, Olivares, PR, Olsen, HE, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ortiz, A, Osborne, RH, Osman, M, Owolabi, MO, PA, M, Pain, AW, Pakhale, S, Castillo, EP, Pana, A, Papachristou, C, Parsaeian, M, Patel, T, Patton, GC, Paudel, D, Paul, VK, Pearce, N, Pereira, DM, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pesudovs, K, Petzold, M, Phillips, MR, Pigott, DM, Pillay, JD, Pinho, C, Polinder, S, Pond, CD, Prakash, V, Purwar, M, Qorbani, M, Quistberg, DA, Radfar, A, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rai, RK, Ram, U, Rana, SM, Rankin, Z, Rao, PV, Rao, PC, Rawaf, S, Rego, MAS, Reitsma, M, Remuzzi, G, Renzaho, AMNN, Resnikoff, S, Rezaei, S, Rezai, MS, Ribeiro, AL, Roba, HS, Rokni, MB, Ronfani, L, Roshandel, G, Roth, GA, Rothenbacher, D, Roy, NK, Sachdev, PS, Sackey, BB, Saeedi, MY, Safiri, S, Sagar, R, Sahraian, MA, Saleh, MM, Salomon, JA, Samy, AM, Sanabria, JR, Sanchez-Niño, MD, Sandar, L, Santos, IS, Santos, JV, Milicevic, MMS, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Savic, M, Sawhney, M, Saylan, MI, Schöttker, B, Schutte, AE, Schwebel, DC, Seedat, S, Seid, AM, Seifu, CN, Sepanlou, SG, Serdar, B, Servan-Mori, EE, Setegn, T, Shackelford, KA, Shaheen, A, Shahraz, S, Shaikh, MA, Shakh-Nazarova, M, Shamsipour, M, Islam, SMS, Sharma, J, Sharma, R, She, J, Sheikhbahaei, S, Shen, J, Shi, P, Shigematsu, M, Shin, M-J, Shiri, R, Shoman, H, Shrime, MG, Sibamo, ELS, Sigfusdottir, ID, Silva, DAS, Silveira, DGA, Sindi, S, Singh, A, Singh, JA, Singh, OP, Singh, PK, Singh, V, Sinke, AH, Sinshaw, AE, Skirbekk, V, Sliwa, K, Smith, A, Sobngwi, E, Soneji, S, Soriano, JB, Sousa, TCM, Sposato, LA, Sreeramareddy, CT, Stathopoulou, V, Steel, N, Steiner, C, Steinke, S, Stokes, MA, Stranges, S, Strong, M, Stroumpoulis, K, Sturua, L, Sufiyan, MB, Suliankatchi, RA, Sun, J, Sur, P, Swaminathan, S, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taffere, GR, Talongwa, RT, Tarajia, M, Tavakkoli, M, Taveira, N, Teeple, S, Tegegne, TK, Tehrani-Banihashemi, A, Tekelab, T, Tekle, DY, Shifa, GT, Terkawi, AS, Tesema, AG, Thakur, JS, Thomson, AJ, Tillmann, T, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Tortajada, M, Troeger, C, Truelsen, T, Tura, AK, Uchendu, US, Ukwaja, KN, Undurraga, EA, Uneke, CJ, Uthman, OA, van Boven, JFM, Van Dingenen, R, Varughese, S, Vasankari, T, Venketasubramanian, N, Violante, FS, Vladimirov, SK, Vlassov, VV, Vollset, SE, Vos, T, Wagner, JA, Wakayo, T, Waller, SG, Walson, JL, Wang, H, Wang, Y-P, Watkins, DA, Weiderpass, E, Weintraub, RG, Wen, C-P, Werdecker, A, Wesana, J, Westerman, R, Whiteford, HA, Wilkinson, JD, Wiysonge, CS, Woldeyes, BG, Wolfe, CDA, Won, S, Workicho, A, Workie, SB, Wubshet, M, Xavier, D, Xu, G, Yadav, AK, Yaghoubi, M, Yakob, B, Yan, LL, Yano, Y, Yaseri, M, Yimam, HH, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zambrana-Torrelio, C, Zapata, T, Zenebe, ZM, Zodpey, S, Zoeckler, L, Zuhlke, LJ, and Murray, CJL
Published: 2017

28. Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Feigin, V, Abajobir, A, Abate, K, Abd-Allah, F, Abdulle, A, Abera, S, Abyu, G, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Akinyemi, R, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, A, Ansari, H, Anwari, P, Ärnlöv, J, Asayesh, H, Asgedom, S, Atey, T, Avila-Burgos, L, Frinel, E, Avokpaho, G, Barac, A, Barboza, M, Barker-Collo, S, Bärnighausen, T, Bedi, N, Beghi, E, Bennett, D, Bensenor, I, Berhane, A, Betsu, B, Bhaumik, S, Birlik, S, Biryukov, S, Boneya, D, Bulto, L, Carabin, H, Casey, D, Castañeda-Orjuela, C, Catalá-López, F, Chen, H, Chitheer, A, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, Veber, G, Dharmaratne, S, Do, H, Dokova, K, Dorsey, E, Ellenbogen, R, Eskandarieh, S, Farvid, M, Fereshtehnejad, S, Fischer, F, Foreman, K, Geleijnse, J, Gillum, R, Giussani, G, Gona, P, Goulart, A, Gugnani, H, Gupta, R, Hamadeh, R, Hambisa, M, Hankey, G, Hareri, H, Havmoeller, R, Hay, S, Heydarpour, P, Hotez, P, Jakovljevic, M, Javanbakht, M, Jeemon, P, Jonas, J, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, P, Khader, Y, Khalil, I, Khan, E, Khang, Y, Tawfih, A, Khoja, A, Khubchandani, J, Kim, D, Kim, Y, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, R, Defo, B, Kumar, G, Kumar, R, Kyu, H, Larsson, A, Lavados, P, Li, Y, Liang, X, Liben, M, Lo, W, Logroscino, G, Lotufo, P, Loy, C, Mackay, M, El Razek, H, El Razek, M, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, L, Massano, J, Mazidi, M, Mcalinden, C, Mehata, S, Mehndiratta, M, Memish, Z, Mendoza, W, Mengistie, M, Mensah, G, Meretoja, A, Mezgebe, H, Miller, T, Mishra, S, Ibrahim, N, Mohammadi, A, Mohammed, K, Mohammed, S, Mokdad, A, Moradi-Lakeh, M, Velasquez, I, Musa, K, Naghavi, M, Ngunjiri, J, Nguyen, C, Nguyen, G, Le Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nong, V, Norrving, B, Noubiap, J, Ogbo, F, Owolabi, M, Pandian, J, Petzold, M, Phillips, M, Piradov, M, Poulton, R, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, R, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, A, Rezai, M, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, M, Samy, A, Santalucia, P, Santos, I, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, M, Sepanlou, S, Shaikh, M, Shakir, R, Shamsizadeh, M, Sheth, K, Shigematsu, M, Shoman, H, Silva, D, Smith, M, Sobngwi, E, Sposato, L, Stein, D, Steiner, T, Stovner, L, Abdulkader, R, EI Szoeke, C, Tabarés-Seisdedos, R, Tanne, D, Theadom, A, Thrift, A, Tirschwell, D, Topor-Madry, R, Tran, B, Truelsen, T, Tuem, K, Ukwaja, K, Uthman, O, Varakin, Y, Vasankari, T, Venketasubramanian, N, Vlassov, V, Wadilo, F, Wakayo, T, Wallin, M, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, C, Woldu, M, Wolfe, C, Xavier, D, Xu, G, Yano, Y, Yimam, H, Yonemoto, N, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zunt, J, Murray, C, Vos, T, Feigin, VL, Abajobir, AA, Abate, KH, Abdulle, AM, Abera, SF, Abyu, GY, Ahmed, MB, Aichour, AN, Aichour, MTE, Akinyemi, RO, Amare, AT, Asgedom, SW, Atey, TM, Avokpaho, GA, Barker-Collo, SL, Bennett, DA, Bensenor, IM, Betsu, BD, Birlik, SM, Boneya, DJ, Bulto, LNB, Castañeda-Orjuela, CA, Chitheer, AA, Veber, GA, Dharmaratne, SD, Do, HP, Dorsey, ER, Ellenbogen, RG, Farvid, MS, Fereshtehnejad, SM, Foreman, KJ, Geleijnse, JM, Gillum, RF, Gona, PN, Goulart, AC, Gugnani, HC, Hamadeh, RR, Hankey, GJ, Hareri, HA, Hay, SI, Hotez, PJ, Jakovljevic, MMB, Jonas, JB, Keiyoro, PN, Khader, YS, Khalil, IA, Khan, EA, Khang, YH, Kim, YJ, Krishnamurthi, RV, Defo, BK, Kumar, GA, Kyu, HH, Lavados, PM, Liben, ML, Lo, WD, Lotufo, PA, Loy, CT, Mackay, MT, El Razek, HMA, El Razek, MMA, Mantovani, LG, McAlinden, C, Mehndiratta, MM, Memish, ZA, Mengistie, MA, Mensah, GA, Mezgebe, HB, Miller, TR, Mishra, SR, Ibrahim, NM, Mohammed, KE, Mokdad, AH, Velasquez, IM, Musa, KI, Ngunjiri, JW, Nguyen, CT, Nguyen, TH, Ningrum, DNA, Nong, VM, Noubiap, JJN, Ogbo, FA, Owolabi, MO, Pandian, JD, Phillips, MR, Piradov, MA, Poulton, RG, Rahman, MH, Rai, RK, Renzaho, AMN, Rezai, MS, Sahraian, MA, Samy, AM, Santos, IS, Saylan, MI, Sepanlou, SG, Shaikh, MA, Sheth, KN, Silva, DAS, Sposato, LA, Stein, DJ, Steiner, TJ, Stovner, LJ, Abdulkader, RS, Theadom, AM, Thrift, AG, Tirschwell, DL, Tran, BX, Tuem, KB, Ukwaja, KN, Uthman, OA, Varakin, YY, Vlassov, VV, Wallin, MT, Wiysonge, CS, Woldu, MA, Wolfe, CDA, Yimam, HH, Zunt, JR, Murray, CJL, Feigin, V, Abajobir, A, Abate, K, Abd-Allah, F, Abdulle, A, Abera, S, Abyu, G, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Akinyemi, R, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, A, Ansari, H, Anwari, P, Ärnlöv, J, Asayesh, H, Asgedom, S, Atey, T, Avila-Burgos, L, Frinel, E, Avokpaho, G, Barac, A, Barboza, M, Barker-Collo, S, Bärnighausen, T, Bedi, N, Beghi, E, Bennett, D, Bensenor, I, Berhane, A, Betsu, B, Bhaumik, S, Birlik, S, Biryukov, S, Boneya, D, Bulto, L, Carabin, H, Casey, D, Castañeda-Orjuela, C, Catalá-López, F, Chen, H, Chitheer, A, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, Veber, G, Dharmaratne, S, Do, H, Dokova, K, Dorsey, E, Ellenbogen, R, Eskandarieh, S, Farvid, M, Fereshtehnejad, S, Fischer, F, Foreman, K, Geleijnse, J, Gillum, R, Giussani, G, Gona, P, Goulart, A, Gugnani, H, Gupta, R, Hamadeh, R, Hambisa, M, Hankey, G, Hareri, H, Havmoeller, R, Hay, S, Heydarpour, P, Hotez, P, Jakovljevic, M, Javanbakht, M, Jeemon, P, Jonas, J, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, P, Khader, Y, Khalil, I, Khan, E, Khang, Y, Tawfih, A, Khoja, A, Khubchandani, J, Kim, D, Kim, Y, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, R, Defo, B, Kumar, G, Kumar, R, Kyu, H, Larsson, A, Lavados, P, Li, Y, Liang, X, Liben, M, Lo, W, Logroscino, G, Lotufo, P, Loy, C, Mackay, M, El Razek, H, El Razek, M, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, L, Massano, J, Mazidi, M, Mcalinden, C, Mehata, S, Mehndiratta, M, Memish, Z, Mendoza, W, Mengistie, M, Mensah, G, Meretoja, A, Mezgebe, H, Miller, T, Mishra, S, Ibrahim, N, Mohammadi, A, Mohammed, K, Mohammed, S, Mokdad, A, Moradi-Lakeh, M, Velasquez, I, Musa, K, Naghavi, M, Ngunjiri, J, Nguyen, C, Nguyen, G, Le Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nong, V, Norrving, B, Noubiap, J, Ogbo, F, Owolabi, M, Pandian, J, Petzold, M, Phillips, M, Piradov, M, Poulton, R, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, R, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, A, Rezai, M, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, M, Samy, A, Santalucia, P, Santos, I, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, M, Sepanlou, S, Shaikh, M, Shakir, R, Shamsizadeh, M, Sheth, K, Shigematsu, M, Shoman, H, Silva, D, Smith, M, Sobngwi, E, Sposato, L, Stein, D, Steiner, T, Stovner, L, Abdulkader, R, EI Szoeke, C, Tabarés-Seisdedos, R, Tanne, D, Theadom, A, Thrift, A, Tirschwell, D, Topor-Madry, R, Tran, B, Truelsen, T, Tuem, K, Ukwaja, K, Uthman, O, Varakin, Y, Vasankari, T, Venketasubramanian, N, Vlassov, V, Wadilo, F, Wakayo, T, Wallin, M, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, C, Woldu, M, Wolfe, C, Xavier, D, Xu, G, Yano, Y, Yimam, H, Yonemoto, N, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zunt, J, Murray, C, Vos, T, Feigin, VL, Abajobir, AA, Abate, KH, Abdulle, AM, Abera, SF, Abyu, GY, Ahmed, MB, Aichour, AN, Aichour, MTE, Akinyemi, RO, Amare, AT, Asgedom, SW, Atey, TM, Avokpaho, GA, Barker-Collo, SL, Bennett, DA, Bensenor, IM, Betsu, BD, Birlik, SM, Boneya, DJ, Bulto, LNB, Castañeda-Orjuela, CA, Chitheer, AA, Veber, GA, Dharmaratne, SD, Do, HP, Dorsey, ER, Ellenbogen, RG, Farvid, MS, Fereshtehnejad, SM, Foreman, KJ, Geleijnse, JM, Gillum, RF, Gona, PN, Goulart, AC, Gugnani, HC, Hamadeh, RR, Hankey, GJ, Hareri, HA, Hay, SI, Hotez, PJ, Jakovljevic, MMB, Jonas, JB, Keiyoro, PN, Khader, YS, Khalil, IA, Khan, EA, Khang, YH, Kim, YJ, Krishnamurthi, RV, Defo, BK, Kumar, GA, Kyu, HH, Lavados, PM, Liben, ML, Lo, WD, Lotufo, PA, Loy, CT, Mackay, MT, El Razek, HMA, El Razek, MMA, Mantovani, LG, McAlinden, C, Mehndiratta, MM, Memish, ZA, Mengistie, MA, Mensah, GA, Mezgebe, HB, Miller, TR, Mishra, SR, Ibrahim, NM, Mohammed, KE, Mokdad, AH, Velasquez, IM, Musa, KI, Ngunjiri, JW, Nguyen, CT, Nguyen, TH, Ningrum, DNA, Nong, VM, Noubiap, JJN, Ogbo, FA, Owolabi, MO, Pandian, JD, Phillips, MR, Piradov, MA, Poulton, RG, Rahman, MH, Rai, RK, Renzaho, AMN, Rezai, MS, Sahraian, MA, Samy, AM, Santos, IS, Saylan, MI, Sepanlou, SG, Shaikh, MA, Sheth, KN, Silva, DAS, Sposato, LA, Stein, DJ, Steiner, TJ, Stovner, LJ, Abdulkader, RS, Theadom, AM, Thrift, AG, Tirschwell, DL, Tran, BX, Tuem, KB, Ukwaja, KN, Uthman, OA, Varakin, YY, Vlassov, VV, Wallin, MT, Wiysonge, CS, Woldu, MA, Wolfe, CDA, Yimam, HH, Zunt, JR, and Murray, CJL
Abstract: Background Comparable data on the global and country-specific burden of neurological disorders and their trends are crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to neurological disorders in 2015 and its relationship with country development level. Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification have been previously spread across multiple disease groupings. The more inclusive grouping of neurological disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer's disease and other dementias, Parkinson's disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and fertility, to identify patterns associated with development and how countries fare against expected outcomes relative to their level of development. Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4 [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tension-type headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication overuse headache (58·5 [50·8 to 67·4 mil
Published: 2017

29. Smoking prevalence and attributable disease burden in 195 countries and territories, 1990-2015: A systematic analysis from the global burden of disease study 2015

Author: Reitsma, MB, Fullman, N, Ng, M, Salama, JS, Abajobir, A, Abate, KH, Abbafati, C, Abera, SF, Abraham, B, Abyu, GY, Adebiyi, AO, Al-Aly, Z, Aleman, AV, Ali, R, Alkerwi, AA, Allebeck, P, Al-Raddadi, RM, Amare, AT, Amberbir, A, Ammar, W, Amrock, SM, Antonio, CAT, Asayesh, H, Atnafu, NT, Azzopardi, P, Banerjee, A, Barac, A, Barrientos-Gutierrez, T, Basto-Abreu, AC, Bazargan-Hejazi, S, Bedi, N, Bell, B, Bello, AK, Bensenor, IM, Beyene, AS, Bhala, N, Biryukov, S, Bolt, K, Brenner, H, Butt, Z, Cavalleri, F, Cercy, K, Chen, H, Christopher, DJ, Ciobanu, LG, Colistro, V, Colomar, M, Cornaby, L, Dai, X, Damtew, SA, Dandona, L, Dandona, R, Dansereau, E, Davletov, K, Dayama, A, Degfie, TT, Deribew, A, Dharmaratne, SD, DImtsu, BD, Doyle, KE, Endries, AY, Ermakov, SP, Estep, K, Faraon, EJA, Farzadfar, F, Feigin, VL, Feigl, AB, Fischer, F, Friedman, J, Ghiwot, TT, Gall, SL, Gao, W, Gillum, RF, Gold, AL, Gopalani, SV, Gotay, CC, Gupta, R, Gupta, V, Hamadeh, RR, Hankey, G, Harb, HL, Hay, SI, Horino, M, Horita, N, Hosgood, HD, Husseini, A, Ileanu, BV, Islami, F, Jiang, G, Jiang, Y, Jonas, JB, Kabir, Z, Kamal, R, Kasaeian, A, Kesavachandran, CN, Khader, YS, Khalil, I, Khang, YH, Khera, S, Mekonnen, A, Reitsma, MB, Fullman, N, Ng, M, Salama, JS, Abajobir, A, Abate, KH, Abbafati, C, Abera, SF, Abraham, B, Abyu, GY, Adebiyi, AO, Al-Aly, Z, Aleman, AV, Ali, R, Alkerwi, AA, Allebeck, P, Al-Raddadi, RM, Amare, AT, Amberbir, A, Ammar, W, Amrock, SM, Antonio, CAT, Asayesh, H, Atnafu, NT, Azzopardi, P, Banerjee, A, Barac, A, Barrientos-Gutierrez, T, Basto-Abreu, AC, Bazargan-Hejazi, S, Bedi, N, Bell, B, Bello, AK, Bensenor, IM, Beyene, AS, Bhala, N, Biryukov, S, Bolt, K, Brenner, H, Butt, Z, Cavalleri, F, Cercy, K, Chen, H, Christopher, DJ, Ciobanu, LG, Colistro, V, Colomar, M, Cornaby, L, Dai, X, Damtew, SA, Dandona, L, Dandona, R, Dansereau, E, Davletov, K, Dayama, A, Degfie, TT, Deribew, A, Dharmaratne, SD, DImtsu, BD, Doyle, KE, Endries, AY, Ermakov, SP, Estep, K, Faraon, EJA, Farzadfar, F, Feigin, VL, Feigl, AB, Fischer, F, Friedman, J, Ghiwot, TT, Gall, SL, Gao, W, Gillum, RF, Gold, AL, Gopalani, SV, Gotay, CC, Gupta, R, Gupta, V, Hamadeh, RR, Hankey, G, Harb, HL, Hay, SI, Horino, M, Horita, N, Hosgood, HD, Husseini, A, Ileanu, BV, Islami, F, Jiang, G, Jiang, Y, Jonas, JB, Kabir, Z, Kamal, R, Kasaeian, A, Kesavachandran, CN, Khader, YS, Khalil, I, Khang, YH, Khera, S, and Mekonnen, A
Abstract: Background The scale-up of tobacco control, especially after the adoption of the Framework Convention for Tobacco Control, is a major public health success story. Nonetheless, smoking remains a leading risk for early death and disability worldwide, and therefore continues to require sustained political commitment. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) offers a robust platform through which global, regional, and national progress toward achieving smoking-related targets can be assessed. Methods We synthesised 2818 data sources with spatiotemporal Gaussian process regression and produced estimates of daily smoking prevalence by sex, age group, and year for 195 countries and territories from 1990 to 2015. We analysed 38 risk-outcome pairs to generate estimates of smoking-attributable mortality and disease burden, as measured by disability-adjusted life-years (DALYs). We then performed a cohort analysis of smoking prevalence by birth-year cohort to better understand temporal age patterns in smoking. We also did a decomposition analysis, in which we parsed out changes in all-cause smoking-attributable DALYs due to changes in population growth, population ageing, smoking prevalence, and risk-deleted DALY rates. Finally, we explored results by level of development using the Socio-demographic Index (SDI). Findings Worldwide, the age-standardised prevalence of daily smoking was 25·0% (95% uncertainty interval [UI] 24·2-25·7) for men and 5·4% (5·1-5·7) for women, representing 28·4% (25·8-31·1) and 34·4% (29·4-38·6) reductions, respectively, since 1990. A greater percentage of countries and territories achieved significant annualised rates of decline in smoking prevalence from 1990 to 2005 than in between 2005 and 2015; however, only four countries had significant annualised increases in smoking prevalence between 2005 and 2015 (Congo [Brazzaville] and Azerbaijan
Published: 2017

30. Erratum: Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016 (The Lancet (2017) 390(10100) (1423–1459) (S

Author: Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, Brauer, M, Stokes, Mark, Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, Brauer, M, and Stokes, Mark
Published: 2017

31. Erratum:Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016 (The Lancet (2017) 390(10100) (1423–1459) (S0

Author: Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, Brauer, M, Stokes, Mark, Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, Brauer, M, and Stokes, Mark
Published: 2017

32. Department of Error.

Author: Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, Brauer, M, Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, and Brauer, M
Published: 2017

33. National disability-adjusted life years (DALYs) for 257 diseases and injuries in Ethiopia, 1990-2015: findings from the global burden of disease study 2015

Author: Misganaw, A, Melaku, YA, Tessema, GA, Deribew, A, Deribe, K, Abera, SF, Dessalegn, M, Lakew, Y, Bekele, T, Haregu, TN, Amare, AT, Gedefaw, M, Mohammed, M, Yirsaw, BD, Damtew, SA, Achoki, T, Blore, J, Krohn, KJ, Assefa, Y, Kifle, M, Naghavi, M, Misganaw, A, Melaku, YA, Tessema, GA, Deribew, A, Deribe, K, Abera, SF, Dessalegn, M, Lakew, Y, Bekele, T, Haregu, TN, Amare, AT, Gedefaw, M, Mohammed, M, Yirsaw, BD, Damtew, SA, Achoki, T, Blore, J, Krohn, KJ, Assefa, Y, Kifle, M, and Naghavi, M
Abstract: BACKGROUND: Disability-adjusted life years (DALYs) provide a summary measure of health and can be a critical input to guide health systems, investments, and priority-setting in Ethiopia. We aimed to determine the leading causes of premature mortality and disability using DALYs and describe the relative burden of disease and injuries in Ethiopia. METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for non-fatal disease burden, cause-specific mortality, and all-cause mortality to derive age-standardized DALYs by sex for Ethiopia for each year. We calculated DALYs by summing years of life lost due to premature mortality (YLLs) and years lived with disability (YLDs) for each age group and sex. Causes of death by age, sex, and year were measured mainly using Causes of Death Ensemble modeling. To estimate YLDs, a Bayesian meta-regression method was used. We reported DALY rates per 100,000 for communicable, maternal, neonatal, and nutritional (CMNN) disorders, non-communicable diseases, and injuries, with 95% uncertainty intervals (UI) for Ethiopia. RESULTS: Non-communicable diseases caused 23,118.1 (95% UI, 17,124.4-30,579.6), CMNN disorders resulted in 20,200.7 (95% UI, 16,532.2-24,917.9), and injuries caused 3781 (95% UI, 2642.9-5500.6) age-standardized DALYs per 100,000 in Ethiopia in 2015. Lower respiratory infections, diarrheal diseases, and tuberculosis were the top three leading causes of DALYs in 2015, accounting for 2998 (95% UI, 2173.7-4029), 2592.5 (95% UI, 1850.7-3495.1), and 2562.9 (95% UI, 1466.1-4220.7) DALYs per 100,000, respectively. Ischemic heart disease and cerebrovascular disease were the fourth and fifth leading causes of age-standardized DALYs, with rates of 2535.7 (95% UI, 1603.7-3843.2) and 2159.9 (95% UI, 1369.7-3216.3) per 100,000, respectively. The following causes showed a reduction of 60% or more over the last 25 years: lower respiratory infections, diarrheal diseases, tuberculosis, ne
Published: 2017

34. National mortality burden due to communicable, non-communicable, and other diseases in Ethiopia, 1990-2015: findings from the Global Burden of Disease Study 2015

Author: Misganaw, A, Haregu, TN, Deribe, K, Tessema, GA, Deribew, A, Melaku, YA, Amare, AT, Abera, SF, Gedefaw, M, Dessalegn, M, Lakew, Y, Bekele, T, Mohammed, M, Yirsaw, BD, Damtew, SA, Krohn, KJ, Achoki, T, Blore, J, Assefa, Y, Naghavi, M, Misganaw, A, Haregu, TN, Deribe, K, Tessema, GA, Deribew, A, Melaku, YA, Amare, AT, Abera, SF, Gedefaw, M, Dessalegn, M, Lakew, Y, Bekele, T, Mohammed, M, Yirsaw, BD, Damtew, SA, Krohn, KJ, Achoki, T, Blore, J, Assefa, Y, and Naghavi, M
Abstract: BACKGROUND: Ethiopia lacks a complete vital registration system that would assist in measuring disease burden and risk factors. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) estimates to describe the mortality burden from communicable, non-communicable, and other diseases in Ethiopia over the last 25 years. METHODS: GBD 2015 mainly used cause of death ensemble modeling to measure causes of death by age, sex, and year for 195 countries. We report numbers of deaths and rates of years of life lost (YLL) for communicable, maternal, neonatal, and nutritional (CMNN) disorders, non-communicable diseases (NCDs), and injuries with 95% uncertainty intervals (UI) for Ethiopia from 1990 to 2015. RESULTS: CMNN causes of death have declined by 65% in the last two-and-a-half decades. Injury-related causes of death have also decreased by 70%. Deaths due to NCDs declined by 37% during the same period. Ethiopia showed a faster decline in the burden of four out of the five leading causes of age-standardized premature mortality rates when compared to the overall sub-Saharan African region and the Eastern sub-Saharan African region: lower respiratory infections, tuberculosis, HIV/AIDS, and diarrheal diseases; however, the same could not be said for ischemic heart disease and other NCDs. Non-communicable diseases, together, were the leading causes of age-standardized mortality rates, whereas CMNN diseases were leading causes of premature mortality in 2015. Although lower respiratory infections, tuberculosis, and diarrheal disease were the leading causes of age-standardized death rates, they showed major declines from 1990 to 2015. Neonatal encephalopathy, iron-deficiency anemia, protein-energy malnutrition, and preterm birth complications also showed more than a 50% reduction in burden. HIV/AIDS-related deaths have also decreased by 70% since 2005. Ischemic heart disease, hemorrhagic stroke, and ischemic stroke were among the top causes of premat
Published: 2017

35. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Soriano, JB, Abajobir, AA, Abate, KH, Abera, SF, Agrawal, A, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Alam, K, Alam, N, Alkaabi, JM, Al-Maskari, F, Alvis-Guzman, N, Amberbir, A, Amoako, YA, Ansha, MG, Anto, JM, Asayesh, H, Atey, TM, Avokpaho, EFGA, Barac, A, Basu, S, Bedi, N, Bensenor, IM, Berhane, A, Beyene, AS, Bhutta, ZA, Biryukov, S, Boneya, DJ, Brauer, M, Carpenter, DO, Casey, D, Christopher, DJ, Dandona, L, Dandona, R, Dharmaratne, SD, Huyen, PD, Fischer, F, Geleto, A, Ghoshal, AG, Gillum, RF, Ginawi, IAM, Gupta, V, Hay, SI, Hedayati, MT, Horita, N, Hosgood, HD, Jakovljevic, MMB, James, SL, Jonas, JB, Kasaeian, A, Khader, YS, Khalil, IA, Khan, EA, Khang, Y-H, Khubchandani, J, Knibbs, LD, Kosen, S, Koul, PA, Kumar, GA, Leshargie, CT, Liang, X, Abd El Razek, HM, Majeed, A, Malta, DC, Manhertz, T, Marquez, N, Mehari, A, Mensah, GA, Miller, TR, Mohammad, KA, Mohammed, KE, Mohammed, S, Mokdad, AH, Naghavi, M, Cuong, TN, Nguyen, G, Quyen, LN, Trang, HN, Ningrum, DNA, Vuong, MN, Obi, JI, Odeyemi, YE, Ogbo, FA, Oren, E, Mahesh, PA, Park, E-K, Patton, GC, Paulson, K, Qorbani, M, Quansah, R, Rafay, A, Rahman, MHU, Rai, RK, Rawaf, S, Reinig, N, Safiri, S, Sarmiento-Suarez, R, Sartorius, B, Savic, M, Sawhney, M, Shigematsu, M, Smith, M, Tadese, F, Thurston, GD, Topor-Madry, R, Tran, BX, Ukwaja, KN, van Boven, JFM, Vlassov, VV, Vollset, SE, Wan, X, Werdecker, A, Hanson, SW, Yano, Y, Yimam, HH, Yonemoto, N, Yu, C, Zaidi, Z, Zaki, MES, Murray, CJL, Vos, T, Soriano, JB, Abajobir, AA, Abate, KH, Abera, SF, Agrawal, A, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Alam, K, Alam, N, Alkaabi, JM, Al-Maskari, F, Alvis-Guzman, N, Amberbir, A, Amoako, YA, Ansha, MG, Anto, JM, Asayesh, H, Atey, TM, Avokpaho, EFGA, Barac, A, Basu, S, Bedi, N, Bensenor, IM, Berhane, A, Beyene, AS, Bhutta, ZA, Biryukov, S, Boneya, DJ, Brauer, M, Carpenter, DO, Casey, D, Christopher, DJ, Dandona, L, Dandona, R, Dharmaratne, SD, Huyen, PD, Fischer, F, Geleto, A, Ghoshal, AG, Gillum, RF, Ginawi, IAM, Gupta, V, Hay, SI, Hedayati, MT, Horita, N, Hosgood, HD, Jakovljevic, MMB, James, SL, Jonas, JB, Kasaeian, A, Khader, YS, Khalil, IA, Khan, EA, Khang, Y-H, Khubchandani, J, Knibbs, LD, Kosen, S, Koul, PA, Kumar, GA, Leshargie, CT, Liang, X, Abd El Razek, HM, Majeed, A, Malta, DC, Manhertz, T, Marquez, N, Mehari, A, Mensah, GA, Miller, TR, Mohammad, KA, Mohammed, KE, Mohammed, S, Mokdad, AH, Naghavi, M, Cuong, TN, Nguyen, G, Quyen, LN, Trang, HN, Ningrum, DNA, Vuong, MN, Obi, JI, Odeyemi, YE, Ogbo, FA, Oren, E, Mahesh, PA, Park, E-K, Patton, GC, Paulson, K, Qorbani, M, Quansah, R, Rafay, A, Rahman, MHU, Rai, RK, Rawaf, S, Reinig, N, Safiri, S, Sarmiento-Suarez, R, Sartorius, B, Savic, M, Sawhney, M, Shigematsu, M, Smith, M, Tadese, F, Thurston, GD, Topor-Madry, R, Tran, BX, Ukwaja, KN, van Boven, JFM, Vlassov, VV, Vollset, SE, Wan, X, Werdecker, A, Hanson, SW, Yano, Y, Yimam, HH, Yonemoto, N, Yu, C, Zaidi, Z, Zaki, MES, Murray, CJL, and Vos, T
Abstract: BACKGROUND: Chronic obstructive pulmonary disease (COPD) and asthma are common diseases with a heterogeneous distribution worldwide. Here, we present methods and disease and risk estimates for COPD and asthma from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) 2015 study. The GBD study provides annual updates on estimates of deaths, prevalence, and disability-adjusted life years (DALYs), a summary measure of fatal and non-fatal disease outcomes, for over 300 diseases and injuries, for 188 countries from 1990 to the most recent year. METHODS: We estimated numbers of deaths due to COPD and asthma using the GBD Cause of Death Ensemble modelling (CODEm) tool. First, we analysed data from vital registration and verbal autopsy for the aggregate category of all chronic respiratory diseases. Subsequently, models were run for asthma and COPD relying on covariates to predict rates in countries that have incomplete or no vital registration data. Disease estimates for COPD and asthma were based on systematic reviews of published papers, unpublished reports, surveys, and health service encounter data from the USA. We used the Global Initiative of Chronic Obstructive Lung Disease spirometry-based definition as the reference for COPD and a reported diagnosis of asthma with current wheeze as the definition of asthma. We used a Bayesian meta-regression tool, DisMod-MR 2.1, to derive estimates of prevalence and incidence. We estimated population-attributable fractions for risk factors for COPD and asthma from exposure data, relative risks, and a theoretical minimum exposure level. Results were stratified by Socio-demographic Index (SDI), a composite measure of income per capita, mean years of education over the age of 15 years, and total fertility rate. FINDINGS: In 2015, 3·2 million people (95% uncertainty interval [UI] 3·1 million to 3·3 million) died from COPD worldwide, an increase of 11·6% (95% UI 5·3 to 19·8) compared with 1990. There was a decrease in age-stan
Published: 2017

36. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016 (vol 390, pg 1423, 2017)

Author: Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, Brauer, M, Fullman, N, Barber, RM, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulkader, RS, Abdulle, AM, Abera, SF, Aboyans, V, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmadieh, H, Ahmed, MB, Aichour, MTE, Aichour, AN, Aichour, I, Aiyar, S, Akinyemi, RO, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, KA, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Ansari, H, Antonio, CAT, Anwari, P, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asgedom, SW, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, MS, Barac, A, Barker-Collo, SL, Bärnighausen, T, Barrero, LH, Basu, S, Battle, KE, Baune, BT, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, ML, Bennett, DA, Bennett, JR, Bensenor, IM, Berhane, A, Berhe, DF, Bernabé, E, Betsu, BD, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, ZA, Bicer, BK, Bidgoli, HH, Bikbov, B, Bilal, AI, Birungi, C, Biryukov, S, Bizuayehu, HM, Blosser, CD, Boneya, DJ, Bose, D, Bou-Orm, IR, and Brauer, M
Published: 2017

37. Correction to Lancet HIV 2016; 3: e361-87

Author: Wang, H, Wolock, TM, Carter, A, Nguyen, G, Kyu, HH, Gakidou, E, Hay, SI, Mills, EJ, Trickey, A, Msemburi, W, Coates, MM, Mooney, MD, Fraser, MS, Sligar, A, Salomon, J, Larson, HJ, Friedman, J, Abajobir, AA, Abate, KH, Abbas, KM, Razek, MMAE, Abd-Allah, F, Abdulle, AM, Abera, SF, Abubakar, I, Abu-Raddad, LJ, Abu-Rmeileh, NME, Abyu, GY, Adebiyi, AO, Adedeji, IA, Adelekan, AL, Adofo, K, Adou, AK, Ajala, ON, Akinyemiju, TF, Akseer, N, Lami, FHA, Al-Aly, Z, Alam, K, Alam, NKM, Alasfoor, D, Aldhahri, SFS, Aldridge, RW, Alegretti, MA, Aleman, AV, Alemu, ZA, Alfonso-Cristancho, R, Ali, R, Alkerwi, A, Alla, F, Mohammad, R, Al-Raddadi, S, Alsharif, U, Alvarez, E, Alvis-Guzman, N, Amare, AT, Amberbir, A, Amegah, AK, Ammar, W, Amrock, SM, Antonio, CAT, Anwari, P, Ã„rnlÃ¶v, J, Artaman, A, Asayesh, H, Asghar, RJ, Assadi, R, Atique, S, Atkins, LS, Avokpaho, EFGA, Awasthi, A, Quintanilla, BPA, Bacha, U, Badawi, A, Barac, A, BÃ¤rnighausen, T, Basu, A, Bayou, TA, Bayou, YT, Bazargan-Hejazi, S, Beardsley, J, Bedi, N, Bennett, DA, Bensenor, IM, Betsu, BD, Beyene, AS, Bhatia, E, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Bisanzio, D, Brainin, M, Brazinova, A, Breitborde, NJK, Brown, A, Burch, M, Butt, ZA, Campuzano, JC, and CÃ¡rdenas, R
Abstract: GBD 2015 HIV Collaborators. Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015. Lancet HIV 2016; 3: e361–87—In this Article, Kerrie E Doyle and David M Pereira have been added to the list of collaborators and Claudia C Pereira has been removed. These corrections have been made as of Aug 22, 2016.
Published: 2016

38. Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2015 : the Global Burden of Disease Study 2015

Author: GBD 2015 HIV Collaborators, Wang, H, Wolock, TM, Carter, A, Nguyen, G, Kyu, HH, Gakidou, E, Hay, SI, Mills, EJ, Trickey, A, Msemburi, W, Coates, MM, Mooney, MD, Fraser, MS, Sligar, A, Salomon, J, Larson, HJ, Friedman, J, Abajobir, AA, Abate, KH, Abbas, KM, Razek, MM, Abd-Allah, F, Abdulle, AM, Abera, SF, Abubakar, I, Abu-Raddad, LJ, Abu-Rmeileh, NM, Abyu, GY, Adebiyi, AO, Adedeji, IA, Adelekan, AL, Adofo, K, Adou, AK, Ajala, ON, Akinyemiju, TF, Akseer, N, Lami, FH, Al-Aly, Z, Alam, K, Alam, NK, Alasfoor, D, Aldhahri, SF, Aldridge, RW, Alegretti, MA, Aleman, AV, Alemu, ZA, Alfonso-Cristancho, R, Ali, R, Alkerwi, A, Alla, F, Mohammad, R, Al-Raddadi, S, Alsharif, U, Alvarez, E, Alvis-Guzman, N, Amare, AT, Amberbir, A, Amegah, AK, Ammar, W, Amrock, SM, Antonio, CA, Anwari, P, Ärnlöv, J, Artaman, A, Asayesh, H, Asghar, RJ, Assadi, R, Atique, S, Atkins, LS, Avokpaho, EF, Awasthi, A, Quintanilla, BP, Bacha, U, Badawi, A, Barac, A, Bärnighausen, T, Basu, A, Bayou, TA, Bayou, YT, Bazargan-Hejazi, S, Beardsley, J, Bedi, N, Bennett, DA, Bensenor, IM, Betsu, BD, Beyene, AS, Bhatia, E, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Bisanzio, D, Brainin, M, Brazinova, A, Breitborde, NJ, Brown, A, Burch, M, Butt, ZA, Campuzano, JC, Cárdenas, R, Carrero, JJ, Castañeda-Orjuela, CA, Rivas, JC, Catalá-López, F, Chang, HY, Chang, JC, Chavan, L, Chen, W, Chiang, PP, Chibalabala, M, Chisumpa, VH, Choi, JY, Christopher, DJ, Ciobanu, LG, Cooper, C, Dahiru, T, Damtew, SA, Dandona, L, Dandona, R, Das Neves, J, De Jager, P, De Leo, D, Degenhardt, L, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dharmaratne, SD, Ding, EL, Doshi, PP, Driscoll, TR, Dubey, M, Elshrek, YM, Elyazar, I, Endries, AY, Ermakov, SP, Eshrati, B, Esteghamati, A, Faghmous, ID, Farinha, CS, Faro, A, Farvid, MS, Farzadfar, F, Fereshtehnejad, SM, Fernandes, JC, Fischer, F, Fitchett, JR, Foigt, N, Fullman, N, Fürst, T, Gankpé, FG, Gebre, T, Gebremedhin, AT, Gebru, AA, Geleijnse, JM, Gessner, BD, Gething, PW, Ghiwot, TT, Giroud, M, Gishu, MD, Glaser, E, Goenka, S, Goodridge, A, Gopalani, SV, Goto, A, Gugnani, HC, Guimaraes, MD, Gupta, R, Gupta, V, Haagsma, J, Hafezi-Nejad, N, Hagan, H, Hailu, GB, Hamadeh, RR, Hamidi, S, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Harikrishnan, S, Haro, JM, Harun, KM, Havmoeller, R, Hedayati, MT, Heredia-Pi, IB, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Hoy, DG, Hsairi, M, Hu, G, Huang, H, Huang, JJ, Iburg, KM, Idrisov, BT, Innos, K, Iyer, VJ, Jacobsen, KH, Jahanmehr, N, Jakovljevic, MB, Javanbakht, M, Jayatilleke, AU, Jeemon, P, Jha, V, Jiang, G, Jiang, Y, Jibat, T, Jonas, JB, Kabir, Z, Kamal, R, Kan, H, Karch, A, Karema, CK, Karletsos, D, Kasaeian, A, Kaul, A, Kawakami, N, Kayibanda, JF, Keiyoro, PN, Kemp, AH, Kengne, AP, Kesavachandran, CN, Khader, YS, Khalil, I, Khan, AR, Khan, EA, Khang, YH, Khubchandani, J, Kim, YJ, Kinfu, Y, Kivipelto, M, Kokubo, Y, Kosen, S, Koul, PA, Koyanagi, A, Defo, BK, Bicer, BK, Kulkarni, VS, Kumar, GA, Lal, DK, Lam, H, Lam, JO, Langan, SM, Lansingh, VC, Larsson, A, Leigh, J, Leung, R, Li, Y, Lim, SS, Lipshultz, SE, Liu, S, Lloyd, BK, Logroscino, G, Lotufo, PA, Lunevicius, R, Razek, HM, Mahdavi, M, Majdan, M, Majeed, A, Makhlouf, C, Malekzadeh, R, Mapoma, CC, Marcenes, W, Martinez-Raga, J, Marzan, MB, Masiye, F, Mason-Jones, AJ, Mayosi, BM, McKee, M, Meaney, PA, Mehndiratta, MM, Mekonnen, AB, Melaku, YA, Memiah, P, Memish, ZA, Mendoza, W, Meretoja, A, Meretoja, TJ, Mhimbira, FA, Miller, TR, Mikesell, J, Mirarefin, M, Mohammad, KA, Mohammed, S, Mokdad, AH, Monasta, L, Moradi-Lakeh, M, Mori, R, Mueller, UO, Murimira, B, Murthy, GV, Naheed, A, Naldi, L, Nangia, V, Nash, D, Nawaz, H, Nejjari, C, Ngalesoni, FN, De Dieu Ngirabega, J, Nguyen, QL, Nisar, MI, Norheim, OF, Norman, RE, Nyakarahuka, L, Ogbo, FA, Oh, IH, Ojelabi, FA, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ota, E, Padukudru, MA, Park, HY, Park, JH, Patil, ST, Patten, SB, Paul, VK, Pearson, K, Peprah, EK, Pereira, CC, Perico, N, Pesudovs, K, Petzold, M, Phillips, MR, Pillay, JD, Plass, D, Polinder, S, Pourmalek, F, Prokop, DM, Qorbani, M, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MH, Rahman, SU, Rai, RK, Rajsic, S, Ram, U, Rana, SM, Rao, PV, Remuzzi, G, Rojas-Rueda, D, Ronfani, L, Roshandel, G, Roy, A, Ruhago, GM, Saeedi, MY, Sagar, R, Saleh, MM, Sanabria, JR, Santos, IS, Sarmiento-Suarez, R, Sartorius, B, Sawhney, M, Schutte, AE, Schwebel, DC, Seedat, S, Sepanlou, SG, Servan-Mori, EE, Shaikh, MA, Sharma, R, She, J, Sheikhbahaei, S, Shen, J, Shibuya, K, Shin, HH, Sigfusdottir, ID, Silpakit, N, Silva, DA, Silveira, DG, Simard, EP, Sindi, S, Singh, JA, Singh, OP, Singh, PK, Skirbekk, V, Sliwa, K, Soneji, S, Sorensen, RJ, Soriano, JB, Soti, DO, Sreeramareddy, CT, Stathopoulou, V, Steel, N, Sunguya, BF, Swaminathan, S, Sykes, BL, Tabarés-Seisdedos, R, Talongwa, RT, Tavakkoli, M, Taye, B, Tedla, BA, Tekle, T, Shifa, GT, Temesgen, AM, Terkawi, AS, Tesfay, FH, Tessema, GA, Thapa, K, Thomson, AJ, Thorne-Lyman, AL, Tobe-Gai, R, Topor-Madry, R, Towbin, JA, Tran, BX, Dimbuene, ZT, Tsilimparis, N, Tura, AK, Ukwaja, KN, Uneke, CJ, Uthman, OA, Venketasubramanian, N, Vladimirov, SK, Vlassov, VV, Vollset, SE, Wang, L, Weiderpass, E, Weintraub, RG, Werdecker, A, Westerman, R, Wijeratne, T, Wilkinson, JD, Wiysonge, CS, Wolfe, CD, Won, S, Wong, JQ, Xu, G, Yadav, AK, Yakob, B, Yalew, AZ, Yano, Y, Yaseri, M, Yebyo, HG, Yip, P, Yonemoto, N, Yoon, SJ, Younis, MZ, Yu, C, Yu, S, Zaidi, Z, Zaki, MELS, Zeeb, H, Zhang, H, Zhao, Y, Zodpey, S, Zoeckler, L, Zuhlke, LJ, Lopez, AD, and Murray, CJ
Subjects: GBD 2015 HIV Collaborators
Abstract: BACKGROUND: Timely assessment of the burden of HIV/AIDS is essential for policy setting and programme evaluation. In this report from the Global Burden of Disease Study 2015 (GBD 2015), we provide national estimates of levels and trends of HIV/AIDS incidence, prevalence, coverage of antiretroviral therapy (ART), and mortality for 195 countries and territories from 1980 to 2015. METHODS: For countries without high-quality vital registration data, we estimated prevalence and incidence with data from antenatal care clinics and population-based seroprevalence surveys, and with assumptions by age and sex on initial CD4 distribution at infection, CD4 progression rates (probability of progression from higher to lower CD4 cell-count category), on and off antiretroviral therapy (ART) mortality, and mortality from all other causes. Our estimation strategy links the GBD 2015 assessment of all-cause mortality and estimation of incidence and prevalence so that for each draw from the uncertainty distribution all assumptions used in each step are internally consistent. We estimated incidence, prevalence, and death with GBD versions of the Estimation and Projection Package (EPP) and Spectrum software originally developed by the Joint United Nations Programme on HIV/AIDS (UNAIDS). We used an open-source version of EPP and recoded Spectrum for speed, and used updated assumptions from systematic reviews of the literature and GBD demographic data. For countries with high-quality vital registration data, we developed the cohort incidence bias adjustment model to estimate HIV incidence and prevalence largely from the number of deaths caused by HIV recorded in cause-of-death statistics. We corrected these statistics for garbage coding and HIV misclassification. FINDINGS: Global HIV incidence reached its peak in 1997, at 3·3 million new infections (95% uncertainty interval [UI] 3·1-3·4 million). Annual incidence has stayed relatively constant at about 2·6 million per year (range 2·5-2·8 million) since 2005, after a period of fast decline between 1997 and 2005. The number of people living with HIV/AIDS has been steadily increasing and reached 38·8 million (95% UI 37·6-40·4 million) in 2015. At the same time, HIV/AIDS mortality has been declining at a steady pace, from a peak of 1·8 million deaths (95% UI 1·7-1·9 million) in 2005, to 1·2 million deaths (1·1-1·3 million) in 2015. We recorded substantial heterogeneity in the levels and trends of HIV/AIDS across countries. Although many countries have experienced decreases in HIV/AIDS mortality and in annual new infections, other countries have had slowdowns or increases in rates of change in annual new infections. INTERPRETATION: Scale-up of ART and prevention of mother-to-child transmission has been one of the great successes of global health in the past two decades. However, in the past decade, progress in reducing new infections has been slow, development assistance for health devoted to HIV has stagnated, and resources for health in low-income countries have grown slowly. Achievement of the new ambitious goals for HIV enshrined in Sustainable Development Goal 3 and the 90-90-90 UNAIDS targets will be challenging, and will need continued efforts from governments and international agencies in the next 15 years to end AIDS by 2030. Funding: We thank the countless individuals who have contributed to the Global Burden of Disease (GBD) Study 2015 in various capacities. We specifically thank Jeffrey Eaton and John Stover. HW and CJLM received funding for this study from the Bill & Melinda Gates Foundation; the National Institute of Mental Health, National Institutes of Health (NIH; R01MH110163); and the National Institute on Aging, NIH (P30AG047845). LJAR acknowledges the support of Qatar National Research Fund (NPRP 04-924-3-251) who provided the main funding for generating the data provided to the GBD-Institute for Health Metrics and Evaluation effort. BPAQ acknowledges institutional support from PRONABEC (National Program of Scholarship and Educational Loan), provided by the Peruvian government. DB is supported by the Bill & Melinda Gates Foundation (grant number OPP1068048). JDN was supported in his contribution to this work by a Fellowship from Fundacao para a Ciencia e a Tecnologia, Portugal (SFRH/BPD/92934/2013). KD is supported by a Wellcome Trust Fellowship in Public Health and Tropical Medicine (grant number 099876). TF received financial support from the Swiss National Science Foundation (SNSF; project number P300P3-154634). AG acknowledges funding from Sistema Nacional de Investigadores de Panama-SNI. PJ is supported by Wellcome Trust-DBT India Alliance Clinical and Public Health Intermediate Fellowship. MK receives research support from the Academy of Finland, the Swedish Research Council, Alzheimerfonden, Alzheimer's Research & Prevention Foundation, Center for Innovative Medicine (CIMED) at Karolinska Institutet South Campus, AXA Research Fund, Wallenberg Clinical Scholars Award from the Knut och Alice Wallenbergs Foundation, and the Sheika Salama Bint Hamdan Al Nahyan Foundation. AK's work was supported by the Miguel Servet contract financed by the CP13/00150 and PI15/00862 projects, integrated into the National R&D&I and funded by the ISCIII (General Branch Evaluation and Promotion of Health Research), and the European Regional Development Fund (ERDF-FEDER). SML is funded by a National Institute for Health Research (NIHR) Clinician Scientist Fellowship (grant number NIHR/CS/010/014). HJL reports grants from the NIHR, EU Innovative Medicines Initiative, Centre for Strategic & International Studies, and WHO. WM is Program analyst, Population and Development, in the Peru Country Office of the United Nations Population Fund, which does not necessarily endorse this study. For UOM, funding from the German National Cohort Consortium (O1ER1511D) is gratefully acknowledged. KR reports grants from NIHR Oxford Biomedical Research Centre, NIHR Career Development Fellowship, and Oxford Martin School during the conduct of the study. GR acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group supported by the International Society of Nephrology (ISN). ISS reports grants from FAPESP (Brazilian public agency). RSS receives institutional support from Universidad de Ciencias Aplicadas y Ambientales, UDCA, Bogota Colombia. SS receives postdoctoral funding from the Fonds de la recherche en sante du Quebec (FRSQ), including its renewal. RTS was supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI14/00894 from ISCIII-FEDER. PY acknowledges support from Strategic Public Policy Research (HKU7003-SPPR-12).
Published: 2016

39. The global burden of cancer 2013 global burden of disease cancer collaboration

Author: Fitzmaurice, C, Dicker, D, Pain, A, Hamavid, H, Moradi-Lakeh, M, Maclntyre, MF, Allen, C, Hansen, G, Woodbrook, R, Wolfe, C, Hamadeh, RR, Antonio, CA, Castaneda-Orjuela, C, Van Gool, CH, Violante, F, Oh, I-H, Deribe, K, Soreide, K, Knibbs, L, Kereselidze, M, Green, M, Moore, A, Cardenas, R, Roy, N, Tillmann, T, Li, Y, Krueger, H, Monasta, L, Dey, S, Sheikhbahaei, S, Hafezi-Nejad, N, Kumar, GA, Werdecker, A, Sreeramareddy, CT, Dandona, L, Wang, H, Vollset, SE, Mokdad, A, Salomon, JA, Lozano, R, Vos, T, Forouzanfar, M, Lopez, A, Gessner, BD, Murray, C, Naghavi, M, Te Ao, B, McMahon, B, Karimkhani, C, Yu, C, Cooke, GS, Schwebel, DC, Carpenter, DO, Pereira, DM, Nash, D, Kazi, DS, De Leo, D, Plass, D, Ukwaja, KN, Thurston, GD, Jin, KY, Simard, EP, Mills, E, Park, E-K, Catala-Lopez, F, DeVeber, G, Gotay, C, Khan, G, Hosgood, HD, Santos, IS, Leasher, JL, Singh, J, Leigh, J, Jonas, JB, Sanabria, J, Beardsley, J, Jacobsen, KH, Takahashi, K, Franklin, RC, Ronfani, L, Montico, M, Naldi, L, Tonelli, M, Geleijnse, J, Petzold, M, Shrime, MG, Younis, M, Yonemoto, N, Breitborde, N, Yip, P, Pourmalek, F, Lotufo, PA, Esteghamati, A, Hankey, GJ, Ali, R, Lunevicius, R, Malekzadeh, R, Dellavalle, R, Weintraub, R, Lucas, R, Hay, R, Rojas-Rueda, D, Westerman, R, Sepanlou, SG, Nolte, S, Patten, S, Weichenthal, S, Abera, SF, Fereshtehnejad, S-M, Shiue, I, Driscoll, T, Vasankari, T, Alsharif, U, Rahimi-Movaghar, V, Vlassov, VV, Marcenes, WS, Mekonnen, W, Melaku, YA, Yano, Y, Al, A, Campos, I, MacLachlan, J, Mueller, U, Kim, D, Trillini, M, Eshrati, B, Williams, HC, Shibuya, K, Dandona, R, Murthy, K, Cowie, B, and Amare, AT
Subjects: CHINESE WOMEN, Adult, Male, Time Factors, Adolescent, HEPATITIS-B-VIRUS, 187 COUNTRIES, Global Health, Disability Evaluation, Young Adult, LUNG-CANCER, Age Distribution, Life Expectancy, Sex Factors, Risk Factors, HEPATOCELLULAR-CARCINOMA, Neoplasms, SYSTEMATIC ANALYSIS, Prevalence, Humans, Sex Distribution, Child, 21 REGIONS, Aged, Aged, 80 and over, Science & Technology, Incidence, Age Factors, Middle Aged, Prognosis, Oncology, Global Burden of Disease Cancer Collaboration, Child, Preschool, RENAL-CELL CANCER, RISK-FACTORS, Female, CIGARETTE-SMOKING, Life Sciences & Biomedicine
Abstract: Importance Cancer is among the leading causes of death worldwide. Current estimates of cancer burden in individual countries and regions are necessary to inform local cancer control strategies. Objective To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 28 cancers in 188 countries by sex from 1990 to 2013. Evidence Review The general methodology of the Global Burden of Disease (GBD) 2013 study was used. Cancer registries were the source for cancer incidence data as well as mortality incidence (MI) ratios. Sources for cause of death data include vital registration system data, verbal autopsy studies, and other sources. The MI ratios were used to transform incidence data to mortality estimates and cause of death estimates to incidence estimates. Cancer prevalence was estimated using MI ratios as surrogates for survival data; YLDs were calculated by multiplying prevalence estimates with disability weights, which were derived from population-based surveys; YLLs were computed by multiplying the number of estimated cancer deaths at each age with a reference life expectancy; and DALYs were calculated as the sum of YLDs and YLLs. Findings In 2013 there were 14.9 million incident cancer cases, 8.2 million deaths, and 196.3 million DALYs. Prostate cancer was the leading cause for cancer incidence (1.4 million) for men and breast cancer for women (1.8 million). Tracheal, bronchus, and lung (TBL) cancer was the leading cause for cancer death in men and women, with 1.6 million deaths. For men, TBL cancer was the leading cause of DALYs (24.9 million). For women, breast cancer was the leading cause of DALYs (13.1 million). Age-standardized incidence rates (ASIRs) per 100 000 and age-standardized death rates (ASDRs) per 100 000 for both sexes in 2013 were higher in developing vs developed countries for stomach cancer (ASIR, 17 vs 14; ASDR, 15 vs 11), liver cancer (ASIR, 15 vs 7; ASDR, 16 vs 7), esophageal cancer (ASIR, 9 vs 4; ASDR, 9 vs 4), cervical cancer (ASIR, 8 vs 5; ASDR, 4 vs 2), lip and oral cavity cancer (ASIR, 7 vs 6; ASDR, 2 vs 2), and nasopharyngeal cancer (ASIR, 1.5 vs 0.4; ASDR, 1.2 vs 0.3). Between 1990 and 2013, ASIRs for all cancers combined (except nonmelanoma skin cancer and Kaposi sarcoma) increased by more than 10% in 113 countries and decreased by more than 10% in 12 of 188 countries. Conclusions and Relevance Cancer poses a major threat to public health worldwide, and incidence rates have increased in most countries since 1990. The trend is a particular threat to developing nations with health systems that are ill-equipped to deal with complex and expensive cancer treatments. The annual update on the Global Burden of Cancer will provide all stakeholders with timely estimates to guide policy efforts in cancer prevention, screening, treatment, and palliation.
Published: 2015

40. The impact of dietary risk factors on the burden of non-communicable diseases in Ethiopia: findings from the Global Burden of Disease study 2013

Author: Melaku, YA, Temesgen, AM, Deribew, A, Tessema, GA, Deribe, K, Sahle, Berhe, Abera, SF, Bekele, T, Lemma, F, Amare, AT, Seid, O, Endris, K, Hiruye, A, Worku, A, Adams, R, Taylor, AW, Gill, TK, Shi, Z, Afshin, A, Forouzanfar, MH, Melaku, YA, Temesgen, AM, Deribew, A, Tessema, GA, Deribe, K, Sahle, Berhe, Abera, SF, Bekele, T, Lemma, F, Amare, AT, Seid, O, Endris, K, Hiruye, A, Worku, A, Adams, R, Taylor, AW, Gill, TK, Shi, Z, Afshin, A, and Forouzanfar, MH
Published: 2016

41. Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015

Author: Wang, H, Wolock, TM, Carter, A, Nguyen, G, Kyu, HH, Gakidou, E, Hay, SI, Msemburi, W, Coates, MM, Mooney, MD, Fraser, MS, Sligar, A, Larson, HJ, Friedman, J, Brown, A, Dandona, L, Fullman, N, Haagsma, J, Khalil, I, Lim, SS, Mikesell, J, Mokdad, AH, Moradi-Lakeh, M, Pearson, K, Silpakit, B, Sorensen, MJD, Temesgen, AM, Vollset, SE, Zoeckler, L, Murray, CJL, Alfonso-Cristancho, R, Harun, KM, Prokop, DM, Mills, EJ, Trickey, A, Ajala, ON, Bärnighausen, T, Ding, EL, Farvid, MS, Thorne-Lyman, AL, Won, S, Fitchett, JRA, Salomon, J, Abajobir, AA, Hoy, DG, Alam, NKM, Abate, KH, Ghiwot, TT, Gebremedhin, AT, Abbas, KM, Abd El Razek, MM, Abd-Allah, F, Abdulle, AM, Abera, SF, Melaku, YA, Tesfay, Fisaha, Abyu, GY, Bayou, TA, Betsu, BD, Gebru, AA, Hailu, GB, Tekle, T, Yalew, AZ, Yebyo, HG, Abubakar, I, Aldridge, RW, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adebiyi, AO, Adedeji, IA, Adelekan, AL, Ojelabi, FA, Adofo, K, Adou, AK, Akinyemiju, TF, Schwebel, DC, Singh, JA, Akseer, N, Al Lami, FH, Al-Aly, Z, Alam, K, Weintraub, RG, Chiang, PP, Meretoja, A, Lopez, AD, Wijeratne, T, Driscoll, TR, Kemp, AH, Leigh, J, Mekonnen, Alemayehu, Karema, CK, Alasfoor, D, Aldhahri, SFS, Terkawi, AS, Alegretti, MA, Aleman, AV, Alemu, ZA, Cooper, C, Deribew, A, Wang, H, Wolock, TM, Carter, A, Nguyen, G, Kyu, HH, Gakidou, E, Hay, SI, Msemburi, W, Coates, MM, Mooney, MD, Fraser, MS, Sligar, A, Larson, HJ, Friedman, J, Brown, A, Dandona, L, Fullman, N, Haagsma, J, Khalil, I, Lim, SS, Mikesell, J, Mokdad, AH, Moradi-Lakeh, M, Pearson, K, Silpakit, B, Sorensen, MJD, Temesgen, AM, Vollset, SE, Zoeckler, L, Murray, CJL, Alfonso-Cristancho, R, Harun, KM, Prokop, DM, Mills, EJ, Trickey, A, Ajala, ON, Bärnighausen, T, Ding, EL, Farvid, MS, Thorne-Lyman, AL, Won, S, Fitchett, JRA, Salomon, J, Abajobir, AA, Hoy, DG, Alam, NKM, Abate, KH, Ghiwot, TT, Gebremedhin, AT, Abbas, KM, Abd El Razek, MM, Abd-Allah, F, Abdulle, AM, Abera, SF, Melaku, YA, Tesfay, Fisaha, Abyu, GY, Bayou, TA, Betsu, BD, Gebru, AA, Hailu, GB, Tekle, T, Yalew, AZ, Yebyo, HG, Abubakar, I, Aldridge, RW, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adebiyi, AO, Adedeji, IA, Adelekan, AL, Ojelabi, FA, Adofo, K, Adou, AK, Akinyemiju, TF, Schwebel, DC, Singh, JA, Akseer, N, Al Lami, FH, Al-Aly, Z, Alam, K, Weintraub, RG, Chiang, PP, Meretoja, A, Lopez, AD, Wijeratne, T, Driscoll, TR, Kemp, AH, Leigh, J, Mekonnen, Alemayehu, Karema, CK, Alasfoor, D, Aldhahri, SFS, Terkawi, AS, Alegretti, MA, Aleman, AV, Alemu, ZA, Cooper, C, and Deribew, A
Abstract: Background Timely assessment of the burden of HIV/AIDS is essential for policy setting and programme evaluation. In this report from the Global Burden of Disease Study 2015 (GBD 2015), we provide national estimates of levels and trends of HIV/AIDS incidence, prevalence, coverage of antiretroviral therapy (ART), and mortality for 195 countries and territories from 1980 to 2015. Methods For countries without high-quality vital registration data, we estimated prevalence and incidence with data from antenatal care clinics and population-based seroprevalence surveys, and with assumptions by age and sex on initial CD4 distribution at infection, CD4 progression rates (probability of progression from higher to lower CD4 cell-count category), on and off antiretroviral therapy (ART) mortality, and mortality from all other causes. Our estimation strategy links the GBD 2015 assessment of all-cause mortality and estimation of incidence and prevalence so that for each draw from the uncertainty distribution all assumptions used in each step are internally consistent. We estimated incidence, prevalence, and death with GBD versions of the Estimation and Projection Package (EPP) and Spectrum software originally developed by the Joint United Nations Programme on HIV/AIDS (UNAIDS). We used an open-source version of EPP and recoded Spectrum for speed, and used updated assumptions from systematic reviews of the literature and GBD demographic data. For countries with high-quality vital registration data, we developed the cohort incidence bias adjustment model to estimate HIV incidence and prevalence largely from the number of deaths caused by HIV recorded in cause-of-death statistics. We corrected these statistics for garbage coding and HIV misclassification. Findings Global HIV incidence reached its peak in 1997, at 3·3 million new infections (95% uncertainty interval [UI] 3·1–3·4 million). Annual incidence has stayed relatively constant at about 2·6 mil
Published: 2016

42. Global and National Burden of Diseases and Injuries Among Children and Adolescents Between 1990 and 2013 Findings From the Global Burden of Disease 2013 Study

Author: Kyu, HH, Pinho, C, Wagner, JA, Brown, JC, Bertozzi-Villa, A, Charlson, FJ, Coffeng, LE, Dandona, L, Erskine, HE, Ferrari, AJ, Fitzmaurice, C, Fleming, TD, Forouzanfar, MH, Graetz, N, Guinovart, C, Haagsma, J, Higashi, H, Kassebaum, NJ, Larson, HJ, Lim, SS, Mokdad, AH, Moradi-Lakeh, M, Odell, SV, Roth, GA, Serina, PT, Stanaway, JD, Misganaw, A, Whiteford, HA, Wolock, TM, Hanson, SW, Abd-Allah, F, Abera, SF, Abu-Raddad, LJ, AlBuhairan, FS, Amare, AT, Antonio, CAT, Artaman, A, Barker-Collo, SL, Barrero, LH, Benjet, C, Bensenor, IM, Bhutta, ZA, Bikbov, B, Brazinova, A, Campos-Nonato, I, Castaneda-Orjuela, CA, Catala-Lopez, F, Chowdhury, R, Cooper, C, Crump, JA, Dandona, R, Degenhardt, L, Dellavalle, RP, Dharmaratne, SD, Faraon, EJA, Feigin, VL, Fuerst, T, Geleijnse, JM, Gessner, BD, Gibney, KB, Goto, A, Gunnell, D, Hankey, GJ, Hay, RJ, Hornberger, JC, Hosgood, HD, Hu, G, Jacobsen, KH, Jayaraman, SP, Jeemon, P, Jonas, JB, Karch, A, Kim, D, Kim, S, Kokubo, Y, Defo, BK, Bicer, BK, Kumar, GA, Larsson, A, Leasher, JL, Leung, R, Li, Y, Lipshultz, SE, Lopez, AD, Lotufo, PA, Lunevicius, R, Lyons, RA, Majdan, M, Malekzadeh, R, Mashal, T, Mason-Jones, AJ, Melaku, YA, Memish, ZA, Mendoza, W, Miller, TR, Mock, CN, Murray, J, Nolte, S, Oh, I-H, Olusanya, BO, Ortblad, KF, Park, E-K, Paternina Caicedo, AJ, Patten, SB, Patton, GC, Pereira, DM, Perico, N, Piel, FB, Polinder, S, Popova, S, Pourmalek, F, Quistberg, DA, Remuzzi, G, Rodriguez, A, Rojas-Rueda, D, Rothenbacher, D, Rothstein, DH, Sanabria, J, Santos, IS, Schwebel, DC, Sepanlou, SG, Shaheen, A, Shiri, R, Shiue, I, Skirbekk, V, Sliwa, K, Sreeramareddy, CT, Stein, DJ, Steiner, TJ, Stovner, LJ, Sykes, BL, Tabb, KM, Terkawi, AS, Thomson, AJ, Thorne-Lyman, AL, Towbin, JA, Ukwaja, KN, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Vollset, SE, Weiderpass, E, Weintraub, RG, Werdecker, A, Wilkinson, JD, Woldeyohannes, SM, Wolfe, CDA, Yano, Y, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaki, MES, Naghavi, M, Murray, CJL, Vos, T, Kyu, HH, Pinho, C, Wagner, JA, Brown, JC, Bertozzi-Villa, A, Charlson, FJ, Coffeng, LE, Dandona, L, Erskine, HE, Ferrari, AJ, Fitzmaurice, C, Fleming, TD, Forouzanfar, MH, Graetz, N, Guinovart, C, Haagsma, J, Higashi, H, Kassebaum, NJ, Larson, HJ, Lim, SS, Mokdad, AH, Moradi-Lakeh, M, Odell, SV, Roth, GA, Serina, PT, Stanaway, JD, Misganaw, A, Whiteford, HA, Wolock, TM, Hanson, SW, Abd-Allah, F, Abera, SF, Abu-Raddad, LJ, AlBuhairan, FS, Amare, AT, Antonio, CAT, Artaman, A, Barker-Collo, SL, Barrero, LH, Benjet, C, Bensenor, IM, Bhutta, ZA, Bikbov, B, Brazinova, A, Campos-Nonato, I, Castaneda-Orjuela, CA, Catala-Lopez, F, Chowdhury, R, Cooper, C, Crump, JA, Dandona, R, Degenhardt, L, Dellavalle, RP, Dharmaratne, SD, Faraon, EJA, Feigin, VL, Fuerst, T, Geleijnse, JM, Gessner, BD, Gibney, KB, Goto, A, Gunnell, D, Hankey, GJ, Hay, RJ, Hornberger, JC, Hosgood, HD, Hu, G, Jacobsen, KH, Jayaraman, SP, Jeemon, P, Jonas, JB, Karch, A, Kim, D, Kim, S, Kokubo, Y, Defo, BK, Bicer, BK, Kumar, GA, Larsson, A, Leasher, JL, Leung, R, Li, Y, Lipshultz, SE, Lopez, AD, Lotufo, PA, Lunevicius, R, Lyons, RA, Majdan, M, Malekzadeh, R, Mashal, T, Mason-Jones, AJ, Melaku, YA, Memish, ZA, Mendoza, W, Miller, TR, Mock, CN, Murray, J, Nolte, S, Oh, I-H, Olusanya, BO, Ortblad, KF, Park, E-K, Paternina Caicedo, AJ, Patten, SB, Patton, GC, Pereira, DM, Perico, N, Piel, FB, Polinder, S, Popova, S, Pourmalek, F, Quistberg, DA, Remuzzi, G, Rodriguez, A, Rojas-Rueda, D, Rothenbacher, D, Rothstein, DH, Sanabria, J, Santos, IS, Schwebel, DC, Sepanlou, SG, Shaheen, A, Shiri, R, Shiue, I, Skirbekk, V, Sliwa, K, Sreeramareddy, CT, Stein, DJ, Steiner, TJ, Stovner, LJ, Sykes, BL, Tabb, KM, Terkawi, AS, Thomson, AJ, Thorne-Lyman, AL, Towbin, JA, Ukwaja, KN, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Vollset, SE, Weiderpass, E, Weintraub, RG, Werdecker, A, Wilkinson, JD, Woldeyohannes, SM, Wolfe, CDA, Yano, Y, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaki, MES, Naghavi, M, Murray, CJL, and Vos, T
Abstract: IMPORTANCE: The literature focuses on mortality among children younger than 5 years. Comparable information on nonfatal health outcomes among these children and the fatal and nonfatal burden of diseases and injuries among older children and adolescents is scarce. OBJECTIVE: To determine levels and trends in the fatal and nonfatal burden of diseases and injuries among younger children (aged <5 years), older children (aged 5-9 years), and adolescents (aged 10-19 years) between 1990 and 2013 in 188 countries from the Global Burden of Disease (GBD) 2013 study. EVIDENCE REVIEW: Data from vital registration, verbal autopsy studies, maternal and child death surveillance, and other sources covering 14,244 site-years (ie, years of cause of death data by geography) from 1980 through 2013 were used to estimate cause-specific mortality. Data from 35,620 epidemiological sources were used to estimate the prevalence of the diseases and sequelae in the GBD 2013 study. Cause-specific mortality for most causes was estimated using the Cause of Death Ensemble Model strategy. For some infectious diseases (eg, HIV infection/AIDS, measles, hepatitis B) where the disease process is complex or the cause of death data were insufficient or unavailable, we used natural history models. For most nonfatal health outcomes, DisMod-MR 2.0, a Bayesian metaregression tool, was used to meta-analyze the epidemiological data to generate prevalence estimates. FINDINGS: Of the 7.7 (95% uncertainty interval [UI], 7.4-8.1) million deaths among children and adolescents globally in 2013, 6.28 million occurred among younger children, 0.48 million among older children, and 0.97 million among adolescents. In 2013, the leading causes of death were lower respiratory tract infections among younger children (905.059 deaths; 95% UI, 810,304-998,125), diarrheal diseases among older children (38,325 deaths; 95% UI, 30,365-47,678), and road injuries among adolescents (115,186 deaths; 95% UI, 105,185-124,870). Iron defici
Published: 2016

43. Global, regional, and national levels of maternal mortality, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Kassebaum, NJ, Barber, RM, Bhutta, ZA, Dandona, L, Gething, PW, Hay, SI, Kinfu, Y, Larson, HJ, Liang, X, Lim, SS, Lopez, AD, Lozano, R, Mensah, GA, Mokdad, AH, Naghavi, M, Pinho, C, Salomon, JA, Steiner, C, Vos, T, Wang, H, Abajobir, AA, Abate, KH, Abbas, KM, Abd-Allah, F, Abdallat, MA, Abdulle, AM, Abera, SF, Aboyans, V, Abubakar, I, Abu-Rmeileh, NME, Achoki, T, Adebiyi, AO, Adedeji, IA, Adelekan, AL, Adou, AK, Afanvi, KA, Agarwal, A, Kiadaliri, AA, Ajala, ON, Akinyemiju, TF, Akseer, N, Al-Aly, Z, Alam, K, Alam, NKM, Alasfoor, D, Aldhahri, SF, Aldridge, RW, Alhabib, S, Ali, R, Alkerwi, A, Alla, F, Al-Raddadi, R, Alsharif, U, Martin, EA, Alvis-Guzman, N, Amare, AT, Amberbir, A, Amegah, AK, Ammar, W, Amrock, SM, Andersen, HH, Anderson, GM, Antoine, RM, Antonio, CAT, Aregay, AF, Arnlov, J, Arora, M, Arsenijevic, VSA, Al, A, Asayesh, H, Atique, S, Avokpaho, EFGA, Awasthi, A, Quintanilla, BPA, Azzopardi, P, Bacha, U, Badawi, A, Bahit, MC, Balakrishnan, K, Banerjee, A, Barac, A, Barker-Collo, SL, Barnighausen, T, Basu, S, Bayou, TA, Bayou, YT, Bazargan-Hejazi, S, Beardsley, J, Bedi, NW, Bekele, T, Bell, ML, Bennett, DA, Bensenor, IM, Berhane, A, Bernabe, E, Betsu, BD, Beyene, AS, Biadgilign, S, Bikbov, B, Bin Abdulhak, AA, Biroscak, BJ, Biryukov, S, Bisanzio, D, Bjertness, E, Blore, JD, Brainin, M, Brazinova, A, Breitborde, NJK, Brugha, TS, Butt, ZA, Campos-Nonato, IR, Campuzano, JC, Cardenas, R, Carrero, JJ, Carter, A, Casey, DC, Castaneda-Oquela, CA, Castro, RE, Catala-Lopez, F, Cavalleri, F, Chang, H-Y, Chang, J-C, Chavan, L, Chibueze, CE, Chisumpa, VH, Choi, J-YJ, Chowdhury, R, Christopher, DJ, Ciobanu, LG, Cirillo, M, Coates, MM, Coggeshall, M, Colistro, V, Colquhoun, SM, Cooper, C, Cooper, LT, Cortinovis, M, Dahiru, T, Damasceno, A, Danawi, H, Dandona, R, Das Neves, J, De Leo, D, Dellavalle, RP, Deribe, K, Deribew, A, Jarlais, DCD, Dharmaratne, SD, Dicker, DJ, Ding, EL, Dossou, E, Dubey, M, Ebel, BE, Ellingsen, CL, Elyazar, I, Endries, AY, Ermakov, SP, Eshrati, B, Esteghamati, A, Faraon, EJA, Farid, TA, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Fereshtehnejad, S-M, Fernandes, JC, Fischer, F, Fitchett, JRA, Fleming, T, Gt, NF, Franca, EB, Franklin, RC, Fraser, MS, Friedman, J, Pullman, N, Furst, T, Futran, ND, Gambashidze, K, Gamkrelidze, A, Gebre, T, Gebrehiwot, TT, Gebremedhin, AT, Gebremedhin, M, Gebru, AA, Geleijnse, JM, Gibney, KB, Giref, AZ, Giroud, M, Gishu, MD, Glaser, E, Goenka, S, Gomez-Dantes, H, Gona, P, Goodridge, A, Gopalani, SV, Goto, A, Graetz, N, Gugnani, HC, Guo, Y, Gupta, R, Gupta, V, Hafezi-Nejad, N, Hailu, AD, Hailu, GB, Hamadeh, RR, Hamidi, S, Hancock, J, Handal, AJ, Hankey, GJ, Harb, HL, Harikrishnan, S, Harun, KM, Havmoeller, R, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Hoy, DG, Htet, AS, Hu, G, Huang, H, Huang, JJ, Huybrechts, I, Huynh, C, Iannarone, M, Iburg, KM, Idrisov, BT, Iyer, VJ, Jacobsen, KH, Jahanmehr, N, Jakovljevic, MB, Javanbakht, M, Jayatilleke, AU, Jee, SH, Jeemon, P, Jha, V, Jiang, G, Jiang, Y, Jibat, T, Jonas, JB, Kabir, Z, Kamal, R, Kan, H, Karch, A, Karletsos, D, Kasaeian, A, Kaul, A, Kawakami, N, Kayibanda, JF, Kazanjan, K, Kazi, DS, Keiyoro, PN, Kemmer, L, Kemp, AH, Kengne, AP, Keren, A, Kereselidze, M, Kesavachandran, CN, Khader, YS, Khan, AR, Khan, EA, Khang, Y-H, Khonelidze, I, Khosravi, A, Khubchandani, J, Kim, YJ, Kivipelto, M, Knibbs, LD, Kokubo, Y, Kosen, S, Koul, PA, Koyanagi, A, Krishnaswami, S, Defo, BK, Bicer, BK, Kudom, AA, Kulikoff, XR, Kulkarni, C, Kumar, GA, Kutz, MJ, Lal, DK, Lalloo, R, Lam, H, Lamadrid-Figueroa, H, Lan, Q, Larsson, A, Laryea, DO, Leigh, J, Leung, R, Li, Y, Lipshultz, SE, Liu, PY, Liu, S, Liu, Y, Lloyd, BK, Lotufo, PA, Lunevicius, R, Ma, S, El Razek, HMA, El Razek, MMA, Majdan, M, Majeed, A, Malekzadeh, R, Mapoma, CC, Marcenes, W, Margolis, DJ, Marquez, N, Masiye, F, Marzan, MB, Mason-Jones, AJ, Mazorodze, TT, Meaney, PA, Mehari, A, Mehndiratta, MM, Mena-Rodriguez, F, Mekonnen, AB, Melaku, YA, Memish, ZA, Mendoza, W, Meretoja, A, Meretoja, TJ, Mhimbira, FA, Miller, TR, Mills, EJ, Mirarefin, M, Misganaw, A, Ibrahim, NM, Mohammad, KA, Mohammadi, A, Mohammed, S, Mola, GLD, Monasta, L, Monis, JDLC, Hernandez, JCM, Montero, P, Montico, M, Mooney, MD, Moore, AR, Moradi-Lakeh, M, Morawska, L, Mori, R, Mueller, U, Murthy, GVS, Murthy, S, Nachega, JB, Naheed, A, Naldi, L, Nand, D, Nangia, V, Nash, D, Neupane, S, Newton, JN, Ng, M, Ngalesoni, FN, Nguhiu, P, Nguyen, G, Le Nguyen, Q, Nisar, MI, Nomura, M, Norheim, OF, Norman, RE, Nyakarahuka, L, Obermeyer, CM, Ogbo, FA, Oh, I-H, Ojelabi, FA, Olivares, PR, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ota, E, Oyekale, AS, Pa, M, Pain, A, Papantoniou, N, Park, E-K, Park, H-Y, Caicedo, AJP, Patten, SB, Paul, VK, Pereira, DM, Perico, N, Pesudovs, K, Petzold, M, Phillips, MR, Pillay, JD, Pishgar, F, Polinder, S, Pope, D, Pourmalek, F, Qorbani, M, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rahman, SU, Rai, RK, Ram, U, Ranabhat, CL, Rangaswamy, T, Rao, PV, Refaat, AH, Remuzzi, G, Violante, FS, Kassebaum, NJ, Barber, RM, Bhutta, ZA, Dandona, L, Gething, PW, Hay, SI, Kinfu, Y, Larson, HJ, Liang, X, Lim, SS, Lopez, AD, Lozano, R, Mensah, GA, Mokdad, AH, Naghavi, M, Pinho, C, Salomon, JA, Steiner, C, Vos, T, Wang, H, Abajobir, AA, Abate, KH, Abbas, KM, Abd-Allah, F, Abdallat, MA, Abdulle, AM, Abera, SF, Aboyans, V, Abubakar, I, Abu-Rmeileh, NME, Achoki, T, Adebiyi, AO, Adedeji, IA, Adelekan, AL, Adou, AK, Afanvi, KA, Agarwal, A, Kiadaliri, AA, Ajala, ON, Akinyemiju, TF, Akseer, N, Al-Aly, Z, Alam, K, Alam, NKM, Alasfoor, D, Aldhahri, SF, Aldridge, RW, Alhabib, S, Ali, R, Alkerwi, A, Alla, F, Al-Raddadi, R, Alsharif, U, Martin, EA, Alvis-Guzman, N, Amare, AT, Amberbir, A, Amegah, AK, Ammar, W, Amrock, SM, Andersen, HH, Anderson, GM, Antoine, RM, Antonio, CAT, Aregay, AF, Arnlov, J, Arora, M, Arsenijevic, VSA, Al, A, Asayesh, H, Atique, S, Avokpaho, EFGA, Awasthi, A, Quintanilla, BPA, Azzopardi, P, Bacha, U, Badawi, A, Bahit, MC, Balakrishnan, K, Banerjee, A, Barac, A, Barker-Collo, SL, Barnighausen, T, Basu, S, Bayou, TA, Bayou, YT, Bazargan-Hejazi, S, Beardsley, J, Bedi, NW, Bekele, T, Bell, ML, Bennett, DA, Bensenor, IM, Berhane, A, Bernabe, E, Betsu, BD, Beyene, AS, Biadgilign, S, Bikbov, B, Bin Abdulhak, AA, Biroscak, BJ, Biryukov, S, Bisanzio, D, Bjertness, E, Blore, JD, Brainin, M, Brazinova, A, Breitborde, NJK, Brugha, TS, Butt, ZA, Campos-Nonato, IR, Campuzano, JC, Cardenas, R, Carrero, JJ, Carter, A, Casey, DC, Castaneda-Oquela, CA, Castro, RE, Catala-Lopez, F, Cavalleri, F, Chang, H-Y, Chang, J-C, Chavan, L, Chibueze, CE, Chisumpa, VH, Choi, J-YJ, Chowdhury, R, Christopher, DJ, Ciobanu, LG, Cirillo, M, Coates, MM, Coggeshall, M, Colistro, V, Colquhoun, SM, Cooper, C, Cooper, LT, Cortinovis, M, Dahiru, T, Damasceno, A, Danawi, H, Dandona, R, Das Neves, J, De Leo, D, Dellavalle, RP, Deribe, K, Deribew, A, Jarlais, DCD, Dharmaratne, SD, Dicker, DJ, Ding, EL, Dossou, E, Dubey, M, Ebel, BE, Ellingsen, CL, Elyazar, I, Endries, AY, Ermakov, SP, Eshrati, B, Esteghamati, A, Faraon, EJA, Farid, TA, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Fereshtehnejad, S-M, Fernandes, JC, Fischer, F, Fitchett, JRA, Fleming, T, Gt, NF, Franca, EB, Franklin, RC, Fraser, MS, Friedman, J, Pullman, N, Furst, T, Futran, ND, Gambashidze, K, Gamkrelidze, A, Gebre, T, Gebrehiwot, TT, Gebremedhin, AT, Gebremedhin, M, Gebru, AA, Geleijnse, JM, Gibney, KB, Giref, AZ, Giroud, M, Gishu, MD, Glaser, E, Goenka, S, Gomez-Dantes, H, Gona, P, Goodridge, A, Gopalani, SV, Goto, A, Graetz, N, Gugnani, HC, Guo, Y, Gupta, R, Gupta, V, Hafezi-Nejad, N, Hailu, AD, Hailu, GB, Hamadeh, RR, Hamidi, S, Hancock, J, Handal, AJ, Hankey, GJ, Harb, HL, Harikrishnan, S, Harun, KM, Havmoeller, R, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Hoy, DG, Htet, AS, Hu, G, Huang, H, Huang, JJ, Huybrechts, I, Huynh, C, Iannarone, M, Iburg, KM, Idrisov, BT, Iyer, VJ, Jacobsen, KH, Jahanmehr, N, Jakovljevic, MB, Javanbakht, M, Jayatilleke, AU, Jee, SH, Jeemon, P, Jha, V, Jiang, G, Jiang, Y, Jibat, T, Jonas, JB, Kabir, Z, Kamal, R, Kan, H, Karch, A, Karletsos, D, Kasaeian, A, Kaul, A, Kawakami, N, Kayibanda, JF, Kazanjan, K, Kazi, DS, Keiyoro, PN, Kemmer, L, Kemp, AH, Kengne, AP, Keren, A, Kereselidze, M, Kesavachandran, CN, Khader, YS, Khan, AR, Khan, EA, Khang, Y-H, Khonelidze, I, Khosravi, A, Khubchandani, J, Kim, YJ, Kivipelto, M, Knibbs, LD, Kokubo, Y, Kosen, S, Koul, PA, Koyanagi, A, Krishnaswami, S, Defo, BK, Bicer, BK, Kudom, AA, Kulikoff, XR, Kulkarni, C, Kumar, GA, Kutz, MJ, Lal, DK, Lalloo, R, Lam, H, Lamadrid-Figueroa, H, Lan, Q, Larsson, A, Laryea, DO, Leigh, J, Leung, R, Li, Y, Lipshultz, SE, Liu, PY, Liu, S, Liu, Y, Lloyd, BK, Lotufo, PA, Lunevicius, R, Ma, S, El Razek, HMA, El Razek, MMA, Majdan, M, Majeed, A, Malekzadeh, R, Mapoma, CC, Marcenes, W, Margolis, DJ, Marquez, N, Masiye, F, Marzan, MB, Mason-Jones, AJ, Mazorodze, TT, Meaney, PA, Mehari, A, Mehndiratta, MM, Mena-Rodriguez, F, Mekonnen, AB, Melaku, YA, Memish, ZA, Mendoza, W, Meretoja, A, Meretoja, TJ, Mhimbira, FA, Miller, TR, Mills, EJ, Mirarefin, M, Misganaw, A, Ibrahim, NM, Mohammad, KA, Mohammadi, A, Mohammed, S, Mola, GLD, Monasta, L, Monis, JDLC, Hernandez, JCM, Montero, P, Montico, M, Mooney, MD, Moore, AR, Moradi-Lakeh, M, Morawska, L, Mori, R, Mueller, U, Murthy, GVS, Murthy, S, Nachega, JB, Naheed, A, Naldi, L, Nand, D, Nangia, V, Nash, D, Neupane, S, Newton, JN, Ng, M, Ngalesoni, FN, Nguhiu, P, Nguyen, G, Le Nguyen, Q, Nisar, MI, Nomura, M, Norheim, OF, Norman, RE, Nyakarahuka, L, Obermeyer, CM, Ogbo, FA, Oh, I-H, Ojelabi, FA, Olivares, PR, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ota, E, Oyekale, AS, Pa, M, Pain, A, Papantoniou, N, Park, E-K, Park, H-Y, Caicedo, AJP, Patten, SB, Paul, VK, Pereira, DM, Perico, N, Pesudovs, K, Petzold, M, Phillips, MR, Pillay, JD, Pishgar, F, Polinder, S, Pope, D, Pourmalek, F, Qorbani, M, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rahman, SU, Rai, RK, Ram, U, Ranabhat, CL, Rangaswamy, T, Rao, PV, Refaat, AH, Remuzzi, G, and Violante, FS
Abstract: BACKGROUND: In transitioning from the Millennium Development Goal to the Sustainable Development Goal era, it is imperative to comprehensively assess progress toward reducing maternal mortality to identify areas of success, remaining challenges, and frame policy discussions. We aimed to quantify maternal mortality throughout the world by underlying cause and age from 1990 to 2015. METHODS: We estimated maternal mortality at the global, regional, and national levels from 1990 to 2015 for ages 10-54 years by systematically compiling and processing all available data sources from 186 of 195 countries and territories, 11 of which were analysed at the subnational level. We quantified eight underlying causes of maternal death and four timing categories, improving estimation methods since GBD 2013 for adult all-cause mortality, HIV-related maternal mortality, and late maternal death. Secondary analyses then allowed systematic examination of drivers of trends, including the relation between maternal mortality and coverage of specific reproductive health-care services as well as assessment of observed versus expected maternal mortality as a function of Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. FINDINGS: Only ten countries achieved MDG 5, but 122 of 195 countries have already met SDG 3.1. Geographical disparities widened between 1990 and 2015 and, in 2015, 24 countries still had a maternal mortality ratio greater than 400. The proportion of all maternal deaths occurring in the bottom two SDI quintiles, where haemorrhage is the dominant cause of maternal death, increased from roughly 68% in 1990 to more than 80% in 2015. The middle SDI quintile improved the most from 1990 to 2015, but also has the most complicated causal profile. Maternal mortality in the highest SDI quintile is mostly due to other direct maternal disorders, indirect maternal disorders, and abortion, ectopic pregnancy
Published: 2016

44. The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013

Author: Haagsma, Juanita, Graetz, N, Bolliger, I, Naghavi, M, Higashi, H, Mullany, EC, Abera, SF, Abraham, JP, Adofo, K, Alsharif, U, Ameh, EA, Ammar, W, Antonio, CAT, Barrero, LH, Bekele, T, Bose, D, Brazinova, A, Catala-Lopez, F, Dandona, L, Dandona, R, Dargan, PI, De Leo, D, Degenhardt, L, Derrett, S, Dharmaratne, SD, Driscoll, TR, Duan, L, Ermakov, SP, Farzadfar, F, Feigin, VL, Franklin, RC, Gabbe, B, Gosselin, RA, Hafezi-Nejad, N, Hamadeh, RR, Hijar, M, Hu, GQ, Jayaraman, SP, Jiang, GH, Khader, YS, Khan, EA, Krishnaswami, S, Kulkarni, C, Lecky, FE, Leung, R, Lunevicius, R, Lyons, RA, Majdan, M, Mason-Jones, AJ, Matzopoulos, R, Meaney, PA, Mekonnen, W, Miller, TR, Mock, CN, Norman, RE, Orozco, R, Polinder, Suzanne, Pourmalek, F, Rahimi-Movaghar, V, Refaat, A, Rojas-Rueda, D, Roy, N, Schwebel, DC, Shaheen, A, Shahraz, S, Skirbekk, V, Soreide, K, Soshnikov, S, Stein, DJ, Sykes, BL, Tabb, KM, Temesgen, AM, Tenkorang, EY, Theadom, AM, Tran, BX, Vasankari, TJ, Vavilala, MS, Vlassov, VV, Woldeyohannes, SM, Yip, P, Yonemoto, N, Younis, MZ, Yu, CH, Murray, CJL, Vos, T, Haagsma, Juanita, Graetz, N, Bolliger, I, Naghavi, M, Higashi, H, Mullany, EC, Abera, SF, Abraham, JP, Adofo, K, Alsharif, U, Ameh, EA, Ammar, W, Antonio, CAT, Barrero, LH, Bekele, T, Bose, D, Brazinova, A, Catala-Lopez, F, Dandona, L, Dandona, R, Dargan, PI, De Leo, D, Degenhardt, L, Derrett, S, Dharmaratne, SD, Driscoll, TR, Duan, L, Ermakov, SP, Farzadfar, F, Feigin, VL, Franklin, RC, Gabbe, B, Gosselin, RA, Hafezi-Nejad, N, Hamadeh, RR, Hijar, M, Hu, GQ, Jayaraman, SP, Jiang, GH, Khader, YS, Khan, EA, Krishnaswami, S, Kulkarni, C, Lecky, FE, Leung, R, Lunevicius, R, Lyons, RA, Majdan, M, Mason-Jones, AJ, Matzopoulos, R, Meaney, PA, Mekonnen, W, Miller, TR, Mock, CN, Norman, RE, Orozco, R, Polinder, Suzanne, Pourmalek, F, Rahimi-Movaghar, V, Refaat, A, Rojas-Rueda, D, Roy, N, Schwebel, DC, Shaheen, A, Shahraz, S, Skirbekk, V, Soreide, K, Soshnikov, S, Stein, DJ, Sykes, BL, Tabb, KM, Temesgen, AM, Tenkorang, EY, Theadom, AM, Tran, BX, Vasankari, TJ, Vavilala, MS, Vlassov, VV, Woldeyohannes, SM, Yip, P, Yonemoto, N, Younis, MZ, Yu, CH, Murray, CJL, and Vos, T
Abstract: Background The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country. Methods Injury mortality was estimated using the extensive GBD mortality database, corrections for ill-defined cause of death and the cause of death ensemble modelling tool. Morbidity estimation was based on inpatient and outpatient data sets, 26 cause-of-injury and 47 nature-of-injury categories, and seven follow-up studies with patient-reported long-term outcome measures. Results In 2013, 973 million (uncertainty interval (UI) 942 to 993) people sustained injuries that warranted some type of healthcare and 4.8 million (UI 4.5 to 5.1) people died from injuries. Between 1990 and 2013 the global age-standardised injury DALY rate decreased by 31% (UI 26% to 35%). The rate of decline in DALY rates was significant for 22 cause-of-injury categories, including all the major injuries. Conclusions Injuries continue to be an important cause of morbidity and mortality in the developed and developing world. The decline in rates for almost all injuries is so prominent that it warrants a general statement that the world is becoming a safer place to live in. However, the patterns vary widely by cause, age, sex, region and time and there are still large improvements that need to be made.
Published: 2016

45. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: Quantifying the epidemiological transition

Author: Murray, CJL, Barber, RM, Foreman, KJ, Ozgoren, AA, Abd-Allah, F, Abera, SF, Aboyans, V, Abraham, JP, Abubakar, I, Abu-Raddad, LJ, Abu-Rmeileh, NM, Achoki, T, Ackerman, IN, Ademi, Z, Adou, AK, Adsuar, JC, Afshin, A, Agardh, EE, Alam, SS, Alasfoor, D, Albittar, MI, Alegretti, MA, Alemu, ZA, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Alla, F, Allebeck, P, Almazroa, MA, Alsharif, U, Alvarez, E, Alvis-Guzman, N, Amare, AT, Ameh, EA, Amini, H, Ammar, W, Anderson, HR, Anderson, BO, Antonio, CAT, Anwari, P, Arnlöv, J, Arsenijevic, VSA, Artaman, A, Asghar, RJ, Assadi, R, Atkins, LS, Avila, MA, Awuah, B, Bachman, VF, Badawi, A, Bahit, MC, Balakrishnan, K, Banerjee, A, Barker-Collo, SL, Barquera, S, Barregard, L, Barrero, LH, Basu, A, Basu, S, Basulaiman, MO, Beardsley, J, Bedi, N, Beghi, E, Bekele, T, Bell, ML, Benjet, C, Bennett, DA, Bensenor, IM, Benzian, H, Bernabé, E, Bertozzi-Villa, A, Beyene, TJ, Bhala, N, Bhalla, A, Bhutta, ZA, Bienhoff, K, Bikbov, B, Biryukov, S, Blore, JD, Blosser, CD, Blyth, FM, Bohensky, MA, Bolliger, IW, Başara, BB, Bornstein, NM, Bose, D, Boufous, S, Bourne, RRA, Boyers, LN, Brainin, M, Brayne, CE, Brazinova, A, Breitborde, NJK, Brenner, H, Briggs, AD, Brooks, PM, Brown, JC, Brugha, TS, Buchbinder, R, Buckle, GC, Murray, CJL, Barber, RM, Foreman, KJ, Ozgoren, AA, Abd-Allah, F, Abera, SF, Aboyans, V, Abraham, JP, Abubakar, I, Abu-Raddad, LJ, Abu-Rmeileh, NM, Achoki, T, Ackerman, IN, Ademi, Z, Adou, AK, Adsuar, JC, Afshin, A, Agardh, EE, Alam, SS, Alasfoor, D, Albittar, MI, Alegretti, MA, Alemu, ZA, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Alla, F, Allebeck, P, Almazroa, MA, Alsharif, U, Alvarez, E, Alvis-Guzman, N, Amare, AT, Ameh, EA, Amini, H, Ammar, W, Anderson, HR, Anderson, BO, Antonio, CAT, Anwari, P, Arnlöv, J, Arsenijevic, VSA, Artaman, A, Asghar, RJ, Assadi, R, Atkins, LS, Avila, MA, Awuah, B, Bachman, VF, Badawi, A, Bahit, MC, Balakrishnan, K, Banerjee, A, Barker-Collo, SL, Barquera, S, Barregard, L, Barrero, LH, Basu, A, Basu, S, Basulaiman, MO, Beardsley, J, Bedi, N, Beghi, E, Bekele, T, Bell, ML, Benjet, C, Bennett, DA, Bensenor, IM, Benzian, H, Bernabé, E, Bertozzi-Villa, A, Beyene, TJ, Bhala, N, Bhalla, A, Bhutta, ZA, Bienhoff, K, Bikbov, B, Biryukov, S, Blore, JD, Blosser, CD, Blyth, FM, Bohensky, MA, Bolliger, IW, Başara, BB, Bornstein, NM, Bose, D, Boufous, S, Bourne, RRA, Boyers, LN, Brainin, M, Brayne, CE, Brazinova, A, Breitborde, NJK, Brenner, H, Briggs, AD, Brooks, PM, Brown, JC, Brugha, TS, Buchbinder, R, and Buckle, GC
Abstract: Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3
Published: 2015

46. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013

Author: Naghavi, M, Wang, H, Lozano, R, Davis, A, Liang, X, Zhou, M, Vollset, SE, Abbasoglu Ozgoren, A, Abdalla, S, Abd-Allah, F, Abdel Aziz, MI, Abera, SF, Aboyans, V, Abraham, B, Abraham, JP, Abuabara, KE, Abubakar, I, Abu-Raddad, LJ, Abu-Rmeileh, NME, Achoki, T, Adelekan, A, Ademi, Z, Adofo, K, Adou, AK, Adsuar, JC, Ärnlov, J, Agardh, EE, Akena, D, Al Khabouri, MJ, Alasfoor, D, Albittar, M, Alegretti, MA, Aleman, AV, Alemu, ZA, Alfonso-Cristancho, R, Alhabib, S, Ali, MK, Ali, R, Alla, F, Al Lami, F, Allebeck, P, AlMazroa, MA, Al-Shahi Salman, R, Alsharif, U, Alvarez, E, Alviz-Guzman, N, Amankwaa, AA, Amare, AT, Ameli, O, Amini, H, Ammar, W, Anderson, HR, Anderson, BO, Antonio, CAT, Anwari, P, Apfel, H, Argeseanu Cunningham, S, Arsic Arsenijevic, VS, Artaman, A, Asad, MM, Asghar, RJ, Assadi, R, Atkins, LS, Atkinson, C, Badawi, A, Bahit, MC, Bakfalouni, T, Balakrishnan, K, Balalla, S, Banerjee, A, Barber, RM, Barker-Collo, SL, Barquera, S, Barregard, L, Barrero, LH, Barrientos-Gutierrez, T, Basu, A, Basu, S, Basulaiman, MO, Beardsley, J, Bedi, N, Beghi, E, Bekele, T, Bell, ML, Benjet, C, Bennett, DA, Bensenor, IM, Benzian, H, Bertozzi-Villa, A, Beyene, TJ, Bhala, N, Bhalla, A, Bhutta, ZA, Bikbov, B, Bin Abdulhak, A, Biryukov, S, Blore, JD, Blyth, FM, Bohensky, MA, Borges, G, Naghavi, M, Wang, H, Lozano, R, Davis, A, Liang, X, Zhou, M, Vollset, SE, Abbasoglu Ozgoren, A, Abdalla, S, Abd-Allah, F, Abdel Aziz, MI, Abera, SF, Aboyans, V, Abraham, B, Abraham, JP, Abuabara, KE, Abubakar, I, Abu-Raddad, LJ, Abu-Rmeileh, NME, Achoki, T, Adelekan, A, Ademi, Z, Adofo, K, Adou, AK, Adsuar, JC, Ärnlov, J, Agardh, EE, Akena, D, Al Khabouri, MJ, Alasfoor, D, Albittar, M, Alegretti, MA, Aleman, AV, Alemu, ZA, Alfonso-Cristancho, R, Alhabib, S, Ali, MK, Ali, R, Alla, F, Al Lami, F, Allebeck, P, AlMazroa, MA, Al-Shahi Salman, R, Alsharif, U, Alvarez, E, Alviz-Guzman, N, Amankwaa, AA, Amare, AT, Ameli, O, Amini, H, Ammar, W, Anderson, HR, Anderson, BO, Antonio, CAT, Anwari, P, Apfel, H, Argeseanu Cunningham, S, Arsic Arsenijevic, VS, Artaman, A, Asad, MM, Asghar, RJ, Assadi, R, Atkins, LS, Atkinson, C, Badawi, A, Bahit, MC, Bakfalouni, T, Balakrishnan, K, Balalla, S, Banerjee, A, Barber, RM, Barker-Collo, SL, Barquera, S, Barregard, L, Barrero, LH, Barrientos-Gutierrez, T, Basu, A, Basu, S, Basulaiman, MO, Beardsley, J, Bedi, N, Beghi, E, Bekele, T, Bell, ML, Benjet, C, Bennett, DA, Bensenor, IM, Benzian, H, Bertozzi-Villa, A, Beyene, TJ, Bhala, N, Bhalla, A, Bhutta, ZA, Bikbov, B, Bin Abdulhak, A, Biryukov, S, Blore, JD, Blyth, FM, Bohensky, MA, and Borges, G
Abstract: Background Up-to-date evidence on levels and trends for age-sex-specific all-cause and cause-specific mortality is essential for the formation of global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013) we estimated yearly deaths for 188 countries between 1990, and 2013. We used the results to assess whether there is epidemiological convergence across countries. Methods We estimated age-sex-specific all-cause mortality using the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data. We generally estimated cause of death as in the GBD 2010. Key improvements included the addition of more recent vital registration data for 72 countries, an updated verbal autopsy literature review, two new and detailed data systems for China, and more detail for Mexico, UK, Turkey, and Russia. We improved statistical models for garbage code redistribution. We used six different modelling strategies across the 240 causes; cause of death ensemble modelling (CODEm) was the dominant strategy for causes with sufficient information. Trends for Alzheimer's disease and other dementias were informed by meta-regression of prevalence studies. For pathogen-specific causes of diarrhoea and lower respiratory infections we used a counterfactual approach. We computed two measures of convergence (inequality) across countries: the average relative difference across all pairs of countries (Gini coefficient) and the average absolute difference across countries. To summarise broad findings, we used multiple decrement life-tables to decompose probabilities of death from birth to exact age 15 years, from exact age 15 years to exact age 50 years, and from exact age 50 years to exact age 75 years, and life expectancy at birth into major causes. For all quantities reported, we computed 95% uncertainty intervals (UIs). We constrained cause-specific fractions within each age-sex-country-y
Published: 2015

47. Infant mortality and causes of infant deaths in rural Ethiopia: a population-based cohort of 3684 births

Author: Weldearegawi, B, Melaku, YA, Abera, SF, Ashebir, Y, Haile, F, Mulugeta, A, Eshetu, F, Spigt, M, Weldearegawi, B, Melaku, YA, Abera, SF, Ashebir, Y, Haile, F, Mulugeta, A, Eshetu, F, and Spigt, M
Abstract: BACKGROUND: Ethiopia has made large-scale healthcare investments to improve child health and survival. However, there is insufficient population level data on the current estimates of infant mortality rate (IMR) in the country. The aim of this study was to measure infant mortality rate, investigate risk factors for infant deaths and identify causes of death in a rural population of northern Ethiopia. METHODS: Live births to a cohort of mothers under the Kilite Awlaelo Health and Demographic Surveillance System were followed up to their first birthday or death, between September 11, 2009 and September 10, 2013. Maternal and infant characteristics were collected at baseline and during the regular follow-up visit. Multiple-Cox regression was used to investigate risk factors for infant death. Causes of infant death were identified using physician review verbal autopsy method. RESULTS: Of the total 3684 infants followed, 174 of them died before their first birthday, yielding an IMR of 47 per 1000 live births (95 % CI: 41, 54) over the four years of follow-up. About 96 % of infants survived up to their first birthday, and 56 % of infant deaths occurred during the neonatal period. Infants born to mothers aged 15-19 years old had higher risk of death (HR = 2.68, 95 % CI: 1. 74, 4.87) than those born to 25-29 years old. Infants of mothers who attained a secondary school and above had 56 % lower risk of death (HR = 0.44, 95 % CI: 0.24, 0.81) compared to those whose mothers did not attend formal education. Sepsis, prematurity and asphyxia and acute lower respiratory tract infections were the commonest causes of death. CONCLUSION: The IMR for the four-year period was lower than the national and regional estimates. Our findings suggest the need to improve the newborn care, and empower teenagers to delay teenage pregnancy and attain higher levels of education.
Published: 2015

48. Causes of death among females-investigating beyond maternal causes: A community-based longitudinal study

Author: Melaku, YA, Weldearegawi, B, Aregay, A, Tesfay, Fisaha, Abreha, L, Abera, SF, Bezabih, AM, Melaku, YA, Weldearegawi, B, Aregay, A, Tesfay, Fisaha, Abreha, L, Abera, SF, and Bezabih, AM
Published: 2014

49. Causes of death among adults in northern Ethiopia: Evidence from verbal autopsy data in health and demographic surveillance system

Author: Melaku, YA, Sahle, BW, Tesfay, Fisaha, Bezabih, AM, Aregay, A, Abera, SF, Abreha, L, Zello, GA, Melaku, YA, Sahle, BW, Tesfay, Fisaha, Bezabih, AM, Aregay, A, Abera, SF, Abreha, L, and Zello, GA
Published: 2014

50. Poor linkages in maternal health care services? evidence on antenatal care and institutional delivery from a community-based longitudinal study in Tigray region, Ethiopia

Author: Melaku, YA, Weldearegawi, B, Tesfay, FH, Abera, SF, Abraham, L, Aregay, A, Ashebir, Y, Eshetu, F, Haile, A, Lakew, Y, Kinsman, J, Melaku, YA, Weldearegawi, B, Tesfay, FH, Abera, SF, Abraham, L, Aregay, A, Ashebir, Y, Eshetu, F, Haile, A, Lakew, Y, and Kinsman, J
Abstract: BACKGROUND: Progress towards attaining the maternal mortality and maternal health targets set by Millennium Development Goal 5 has been slow in most African countries. Assessing antenatal care and institutional delivery service utilization and their determinants is an important step towards improving maternal health care services. METHODS: Data were drawn from the longitudinal database of Kilite-Awlaelo Health and Demographic Surveillance System. A total of 2361 mothers who were pregnant and who gave birth between September 2009 and August 2013 were included in the analysis. Potential variables to explain antenatal care and institutional delivery service utilization were extracted, and descriptive statistics and logistic regression were used to determine the magnitude of maternal health care service utilization and associated factors, respectively. RESULTS: More than three-quarters, 76% [95% CI: 74.8%-78.2%] (n = 1806), of mothers had undergone at least one antenatal care visit during their previous pregnancy. However, only 27% [95% CI: 25.3%-28.9%] (n = 639) of mothers gave birth at a health institution. Older mothers, urban residents, mothers with higher education attainment, and farmer mothers were more likely to use antenatal care. Institutional delivery services were more likely to be used among older mothers, urban residents, women with secondary education, mothers who visited antenatal care, and mothers with lower parity. CONCLUSIONS: Despite a relatively high proportion of mothers attending antenatal care services at least once, we found low levels of institutional delivery service utilization. Health service providers in Kilite-Awlaelo should be particularly vigilant regarding the additional maternal health needs of rural and less educated women with high parity.
Published: 2014

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

132 results on '"Abera SF"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources