Author: "Agesa, Km" / Publication Year Range: Last 50 years - Searchworks@Jio Institute Digital Library Search Results

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14 results on '"Agesa, Km"'

1. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Abbafati, C, Abbas, KM, Abbasi, M, Abbasifard, M, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahi, M, Abdollahpour, I, Abedi, A, Abedi, P, Abegaz, KH, Abolhassani, H, Abosetugn, AE, Aboyans, V, Abrams, EM, Abreu, LG, Abrigo, MRM, Abu Haimed, AK, Abualhasan, A, Abu-Gharbieh, E, Abu-Raddad, LJ, Abushouk, AI, Acebedo, A, Ackerman, IN, Adabi, M, Adair, T, Adamu, AA, Adebayo, OM, Adedeji, IA, Adekanmbi, V, Adelson, JD, Adeoye, AM, Adetokunboh, OO, Adham, D, Advani, SM, Afarideh, M, Afshari, M, Afshin, A, Agardh, EE, Agarwal, G, Agasthi, P, Agesa, KM, Aghaali, M, Aghamir, SMK, Agrawal, A, Ahmad, T, Ahmadi, A, Ahmadi, K, Ahmadi, M, Ahmadieh, H, Ahmadpour, E, Ahmed, MB, Aji, B, Akalu, TY, Akinyemi, RO, Akinyemiju, T, Akombi, B ; https://orcid.org/0000-0002-6410-4154, Akunna, CJ, Alahdab, F, Al-Aly, Z, Alam, K, Alam, N, Alam, S, Alam, T, Alanezi, FM, Alanzi, TM, Albertson, SB, Alcalde-Rabanal, JE, Alema, NM, Alemu, BW, Alemu, YM, Alhabib, KF, Alhassan, RK, Ali, M, Ali, S, Alicandro, G, Alijanzadeh, M, Alinia, C, Alipour, V, Alizade, H, Aljunid, SM, Alla, F, Allebeck, P, Almadi, MAH, Almasi, A, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Almulhim, AM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amare, B, Amini, S, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Degenhardt, Louisa ; https://orcid.org/0000-0002-8513-2218, Jha, Vivekanand ; https://orcid.org/0000-0002-8015-9470, Resnikoff, Serge ; https://orcid.org/0000-0002-5866-4446, Ivers, Rebecca ; https://orcid.org/0000-0003-3448-662X, Maulik, Pallab Kumar ; https://orcid.org/0000-0001-6835-6175, Biswas, Raaj Kishore ; https://orcid.org/0000-0003-4294-6323, Schutte, Alta ; https://orcid.org/0000-0001-9217-4937, Leung, Janni ; https://orcid.org/0000-0001-5816-2959, Peden, Amy ; https://orcid.org/0000-0002-6424-1511, Pesudovs, Konrad ; https://orcid.org/0000-0002-6322-9369, Mitchell, Philip ; https://orcid.org/0000-0002-7954-5235, John, Oommen ; https://orcid.org/0000-0002-9008-1726, Godinho, Myron ; https://orcid.org/0000-0002-0081-2506, Iqbal, Usman ; https://orcid.org/0000-0002-0614-123X, Abbafati, C, Abbas, KM, Abbasi, M, Abbasifard, M, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abdelalim, A, Abdollahi, M, Abdollahpour, I, Abedi, A, Abedi, P, Abegaz, KH, Abolhassani, H, Abosetugn, AE, Aboyans, V, Abrams, EM, Abreu, LG, Abrigo, MRM, Abu Haimed, AK, Abualhasan, A, Abu-Gharbieh, E, Abu-Raddad, LJ, Abushouk, AI, Acebedo, A, Ackerman, IN, Adabi, M, Adair, T, Adamu, AA, Adebayo, OM, Adedeji, IA, Adekanmbi, V, Adelson, JD, Adeoye, AM, Adetokunboh, OO, Adham, D, Advani, SM, Afarideh, M, Afshari, M, Afshin, A, Agardh, EE, Agarwal, G, Agasthi, P, Agesa, KM, Aghaali, M, Aghamir, SMK, Agrawal, A, Ahmad, T, Ahmadi, A, Ahmadi, K, Ahmadi, M, Ahmadieh, H, Ahmadpour, E, Ahmed, MB, Aji, B, Akalu, TY, Akinyemi, RO, Akinyemiju, T, Akombi, B ; https://orcid.org/0000-0002-6410-4154, Akunna, CJ, Alahdab, F, Al-Aly, Z, Alam, K, Alam, N, Alam, S, Alam, T, Alanezi, FM, Alanzi, TM, Albertson, SB, Alcalde-Rabanal, JE, Alema, NM, Alemu, BW, Alemu, YM, Alhabib, KF, Alhassan, RK, Ali, M, Ali, S, Alicandro, G, Alijanzadeh, M, Alinia, C, Alipour, V, Alizade, H, Aljunid, SM, Alla, F, Allebeck, P, Almadi, MAH, Almasi, A, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Almulhim, AM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Amare, AT, Amare, B, Amini, S, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Degenhardt, Louisa ; https://orcid.org/0000-0002-8513-2218, Jha, Vivekanand ; https://orcid.org/0000-0002-8015-9470, Resnikoff, Serge ; https://orcid.org/0000-0002-5866-4446, Ivers, Rebecca ; https://orcid.org/0000-0003-3448-662X, Maulik, Pallab Kumar ; https://orcid.org/0000-0001-6835-6175, Biswas, Raaj Kishore ; https://orcid.org/0000-0003-4294-6323, Schutte, Alta ; https://orcid.org/0000-0001-9217-4937, Leung, Janni ; https://orcid.org/0000-0001-5816-2959, Peden, Amy ; https://orcid.org/0000-0002-6424-1511, Pesudovs, Konrad ; https://orcid.org/0000-0002-6322-9369, Mitchell, Philip ; https://orcid.org/0000-0002-7954-5235, John, Oommen ; https://orcid.org/0000-0002-9008-1726, Godinho, Myron ; https://orcid.org/0000-0002-0081-2506, and Iqbal, Usman ; https://orcid.org/0000-0002-0614-123X
Abstract: Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw value
Published: 2020

2. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study

Author: Rudd, KE, Johnson, SC, Agesa, KM, Shackelford, KA, Tsoi, D, Kievlan, DR, Colombara, DV, Ikuta, KS, Kissoon, N, Finfer, S, Fleischmann-Struzek, C, Machado, FR, Reinhart, KK, Rowan, K, Seymour, CW, Watson, RS, West, TE, Marinho, F, Hay, SI, Lozano, R, Lopez, AD, Angus, DC, Murray, CJL, Naghavi, M, Rudd, KE, Johnson, SC, Agesa, KM, Shackelford, KA, Tsoi, D, Kievlan, DR, Colombara, DV, Ikuta, KS, Kissoon, N, Finfer, S, Fleischmann-Struzek, C, Machado, FR, Reinhart, KK, Rowan, K, Seymour, CW, Watson, RS, West, TE, Marinho, F, Hay, SI, Lozano, R, Lopez, AD, Angus, DC, Murray, CJL, and Naghavi, M
Abstract: BACKGROUND: Sepsis is life-threatening organ dysfunction due to a dysregulated host response to infection. It is considered a major cause of health loss, but data for the global burden of sepsis are limited. As a syndrome caused by underlying infection, sepsis is not part of standard Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) estimates. Accurate estimates are important to inform and monitor health policy interventions, allocation of resources, and clinical treatment initiatives. We estimated the global, regional, and national incidence of sepsis and mortality from this disorder using data from GBD 2017. METHODS: We used multiple cause-of-death data from 109 million individual death records to calculate mortality related to sepsis among each of the 282 underlying causes of death in GBD 2017. The percentage of sepsis-related deaths by underlying GBD cause in each location worldwide was modelled using mixed-effects linear regression. Sepsis-related mortality for each age group, sex, location, GBD cause, and year (1990-2017) was estimated by applying modelled cause-specific fractions to GBD 2017 cause-of-death estimates. We used data for 8·7 million individual hospital records to calculate in-hospital sepsis-associated case-fatality, stratified by underlying GBD cause. In-hospital sepsis-associated case-fatality was modelled for each location using linear regression, and sepsis incidence was estimated by applying modelled case-fatality to sepsis-related mortality estimates. FINDINGS: In 2017, an estimated 48·9 million (95% uncertainty interval [UI] 38·9-62·9) incident cases of sepsis were recorded worldwide and 11·0 million (10·1-12·0) sepsis-related deaths were reported, representing 19·7% (18·2-21·4) of all global deaths. Age-standardised sepsis incidence fell by 37·0% (95% UI 11·8-54·5) and mortality decreased by 52·8% (47·7-57·5) from 1990 to 2017. Sepsis incidence and mortality varied substantially across regions, with the highest burden in s
Published: 2020

3. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Kyu, Hh, Abate, D, Abate, Kh, Abay, Sm, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, Rs, Abebe, M, Abebe, Z, Abil, Oz, Aboyans, V, Abrham, Ar, Abu-Raddad, Lj, Abu-Rmeileh, Nme, Accrombessi, Mmk, Acharya, D, Acharya, P, Ackerman, In, Adamu, Aa, Adebayo, Om, Adekanmbi, V, Ademi, Z, Adetokunboh, Oo, Adib, Mg, Adsuar, Jc, Afanvi, Ka, Afarideh, M, Afshin, A, Agarwal, G, Agesa, Km, Aggarwal, R, Aghayan, Sa, Agrawal, A, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, Mb, Ahmed, S, 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, Alonso, J, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Aminde, Ln, Amini, E, Amiresmaili, M, Ammar, W, Amoako, Ya, Anber, Nh, Andrei, Cl, Androudi, S, Animut, Md, Anjomshoa, M, Ansha, Mg, Antonio, Cat, Anwari, P, Arabloo, J, Aremu, O, Ärnlöv, J, Arora, A, Arora, M, Artaman, A, Aryal, Kk, Asayesh, H, Ataro, Z, Ausloos, M, Avila-Burgos, L, Avokpaho, Efga, Awasthi, A, Ayala, Quintanilla, Ayer, R, Azzopardi, Ps, Babazadeh, A, Badali, H, Balakrishnan, K, Bali, Ag, Banach, M, Banoub, Jam, Barac, A, Barboza, Ma, Barker-Collo, Sl, Bärnighausen, Tw, Barquera, S, Barrero, Lh, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Behzadifar, M, Bekele, Bb, Bekru, Et, Belachew, Ab, Belay, Ya, Bell, Ml, Bello, Ak, Bennett, Da, Bensenor, Im, Berhane, A, Bernabe, E, Bernstein, Rs, Beuran, M, Beyranvand, T, Bhala, N, Bhatt, S, Bhaumik, S, Bhutta, Za, Biadgo, B, Biehl, Mh, Bijani, A, Bikbov, B, Bilano, V, Bililign, N, Bin, Sayeed, Bisanzio, D, Bjørge, T, Bleyer, A, Bobasa, Em, Bou-Orm, Ir, Boufous, S, Bourne, R, Brady, Oj, Brant, Lc, Brayne, C, Brazinova, A, Breitborde, Njk, Brenner, H, Briant, Ps, Briko, An, Britton, G, Brugha, T, Buchbinder, R, Busse, R, Butt, Za, Cahuana-Hurtado, L, Campuzano, Rincon, Cano, J, Cárdenas, R, Carrero, Jj, Carter, A, Carvalho, F, Castañeda-Orjuela, Ca, Castillo, Rivas, J, Castro, F, Catalá-López, F, Cercy, Km, Cerin, E, Chaiah, Y, Chang, Jc, Charlson, Fj, Chattu, Vk, Chiang, Pp, Chitheer, A, Choi, Jj, Christensen, H, Christopher, Dj, Chung, Sc, Cicuttini, Fm, Cirillo, Massimo, Collado-Mateo, D, Cooper, C, Cortesi, Pa, Cortinovis, M, Cousin, E, Criqui, Mh, Cromwell, Ea, Cross, M, Crump, Ja, Daba, Ak, Dachew, Ba, Dadi, Af, Dandona, L, Dandona, R, Dargan, Pi, Daryani, A, Das, Gupta, Das, R, Neves, J, Dasa, Tt, Davitoiu, Dv, De, La, Hoz, Fp, Leo, De, D, De, Neve, Jw, Steur, De, H, Degefa, Mg, Degenhardt, L, Deiparine, S, Demoz, Gt, Denova-Gutiérrez, E, Deribe, K, Dervenis, N, Des, Jarlais, Dey, S, Dharmaratne, Sd, Dhimal, M, Dinberu, Mt, Dirac, Ma, Djalalinia, S, Doan, L, Dokova, K, Doku, Dt, Dorsey, Er, Doyle, Ke, Driscoll, Tr, Dubey, M, Dubljanin, E, Duken, Ee, Duncan, Bb, Duraes, Ar, Ebrahimi, H, Ebrahimpour, S, Echko, Mm, Edessa, D, Edvardsson, D, Effiong, A, Eggen, Ae, Ehrlich, Jr, Bcheraoui, El, C, El-Khatib, Z, Elyazar, Irf, Enayati, A, Endalifer, Ml, Endries, Ay, Er, B, Erskine, He, Eskandarieh, S, Esteghamati, A, Esteghamati, S, Fakhim, H, Faramarzi, M, Fareed, M, Farhadi, F, Farid, Ta, Farinha, Cses, Farioli, A, Faro, A, Farzadfar, F, Fazaeli, Aa, Feigin, Vl, Fentahun, N, Fereshtehnejad, Sm, Fernandes, E, Fernandes, Jc, Ferrari, Aj, Ferreira, Ml, Filip, I, Fischer, F, Fitzmaurice, C, Foigt, Na, Foreman, Kj, Frank, Td, Fukumoto, T, Fullman, N, Fürst, T, Furtado, Jm, Gakidou, E, Gall, S, Gallus, S, Ganji, M, Garcia-Basteiro, Al, Gardner, Wm, Gebre, Ak, Gebremedhin, At, Gebremichael, Tg, Gelano, Tf, Geleijnse, Jm, Genova-Maleras, R, Geramo, Ycd, Gething, Pw, Gezae, Ke, Ghadami, Mr, Ghadiri, K, Ghasemi-Kasman, M, Ghimire, M, Ghoshal, Ag, Gill, Ps, Gill, Tk, Ginawi, Ia, Giussani, G, Gnedovskaya, Ev, Goldberg, Em, Goli, S, Gómez-Dantés, H, Gona, Pn, Gopalani, Sv, Gorman, Tm, Goulart, Ac, Goulart, Bng, Grada, A, Grosso, G, Gugnani, Hc, Guillemin, F, Guo, Y, Gupta, Pc, Gupta, R, Gupta, T, Gutiérrez, Ra, Gyawali, B, Haagsma, Ja, Hachinski, V, Hafezi-Nejad, N, Haghparast, Bidgoli, Hagos, Tb, Hailegiyorgis, Tt, Haj-Mirzaian, A, Hamadeh, Rr, Hamidi, S, Handal, Aj, Hankey, Gj, Hao, Y, Harb, Hl, Harikrishnan, S, Haririan, H, Haro, Jm, Hassankhani, H, Hassen, Hy, Havmoeller, R, Hay, Rj, Hay, Si, Hedayatizadeh-Omran, A, Heibati, B, Hendrie, D, Henok, A, Heredia-Pi, I, Herteliu, C, Heydarpour, F, Heydarpour, P, Hibstu, Dt, Hoek, Hw, Hoffman, Hj, Hole, Mk, Homaie, Rad, E, Hoogar, P, Hosgood, Hd, Hosseini, Sm, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hotez, Pj, Hoy, Dg, Hsairi, M, Htet, As, Huang, Jj, Iburg, Km, Ikeda, Ct, Ilesanmi, Os, Irvani, Ssn, Irvine, Cms, Islam, Sms, Islami, F, Jacobsen, Kh, Jahangiry, L, Jahanmehr, N, Jain, Sk, Jakovljevic, M, James, Sl, Jayatilleke, Au, Jeemon, P, Jha, Rp, Jha, V, Js, Ji, Johnson, Co, Jonas, Jb, Jonnagaddala, J, Jorjoran, Shushtari, Z, Joshi, A, Jozwiak, Jj, Jungari, Sb, Jürisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kalani, R, Kanchan, T, Kar, C, Karami, M, Karami, Matin, B, Karch, A, Karema, C, Karimi, N, Karimi, Sm, Kasaeian, A, Kassa, Dh, Kassa, Gm, Kassa, Td, Kassebaum, Nj, Katikireddi, Sv, Kaul, A, Kawakami, N, Kazemi, Z, Karyani, Ak, Keighobadi, Mm, Keiyoro, Pn, Kemmer, L, Kemp, Gr, Kengne, Ap, Keren, A, Khader, Ys, Khafaei, B, Khafaie, Ma, Khajavi, A, Khalid, N, Khalil, Ia, Khan, Ea, Khan, Ms, Khan, Ma, Khang, Yh, Khater, Mm, Khazaei, M, Khoja, At, Khosravi, A, Khosravi, Mh, Kiadaliri, Aa, Kidanemariam, Zt, Kiirithio, Dn, Kim, Ci, Kim, D, Kim, Ye, Kim, Yj, Kimokoti, Rw, Kinfu, Y, Kisa, A, Kissimova-Skarbek, K, Knudsen, Aks, Kocarnik, Jm, Kochhar, S, Kokubo, Y, Kolola, T, Kopec, Ja, Kosen, S, Kotsakis, Ga, Koul, Pa, Koyanagi, A, Krishan, K, Krishnaswami, S, Krohn, Kj, Kuate, Defo, Kucuk, B, Bicer, B, Kumar, Ga, Kumar, M, Kuzin, I, Lad, Dp, Lad, Sd, Lafranconi, A, Lalloo, R, Lallukka, T, Lami, Fh, Lang, Jj, Langan, Sm, Lansingh, Vc, Latifi, A, Lau, Km, Lazarus, Jv, Leasher, Jl, Ledesma, Jr, Lee, Ph, Leigh, J, Leili, M, Leshargie, Ct, Leung, J, Levi, M, Lewycka, S, Li, S, Li, Y, Liang, X, Liao, Y, Liben, Ml, Lim, Ll, Lim, Ss, Limenih, Ma, Linn, S, Liu, S, Looker, Kj, Lopez, Ad, Lorkowski, S, Lotufo, Pa, Lozano, R, Lucas, Tcd, Lunevicius, R, Lyons, Ra, Ma, S, Macarayan, Erk, Mackay, Mt, Maddison, Er, Madotto, F, Maghavani, Dp, Mai, Ht, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malta, Dc, Mamun, Aa, Manda, Al, Manguerra, H, Mansournia, Ma, Mantilla, Herrera, Mantovani, Lg, Maravilla, Jc, Marcenes, W, Marks, A, Martins-Melo, Fr, Martopullo, I, März, W, Marzan, Mb, Massano, J, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mazidi, M, Mcalinden, C, Mcgrath, Jj, Mckee, M, Mcmahon, Bj, Mehata, S, Mehrotra, R, Mehta, Km, Mehta, V, Mejia-Rodriguez, F, Mekonen, T, Melese, A, Melku, M, Memiah, Ptn, Memish, Za, Mendoza, W, Mengistu, G, Mensah, Ga, Mereta, St, Meretoja, A, Meretoja, Tj, Mestrovic, T, Miazgowski, B, Miazgowski, T, Millear, Ai, Miller, Tr, Mini, Gk, Mirarefin, M, Mirica, A, Mirrakhimov, Em, Misganaw, At, Mitchell, Pb, Mitiku, H, Moazen, B, Mohajer, B, Mohammad, Ka, Mohammadi, M, Mohammadifard, N, Mohammadnia-Afrouzi, M, Mohammed, Ma, Mohammed, S, Mohebi, F, Mokdad, Ah, Molokhia, M, Monasta, L, Montañez, Jc, Moosazadeh, M, Moradi, G, Moradi, M, Moradi-Lakeh, M, Moradinazar, M, Moraga, P, Morawska, L, Moreno, Velásquez, I, Morgado-Da-Costa, J, Morrison, Sd, Moschos, Mm, Mousavi, Sm, Mruts, Kb, Muche, Aa, Muchie, Kf, Mueller, Uo, Muhammed, Os, Mukhopadhyay, S, Muller, K, Mumford, Je, Murthy, Gvs, Musa, Ki, Mustafa, G, Nabhan, Af, Nagata, C, Nagel, G, Naghavi, M, Naheed, A, Nahvijou, A, Naik, G, Najafi, F, Nam, Hs, Nangia, V, Nansseu, Jr, Neamati, N, Negoi, I, Negoi, Ri, Neupane, S, Newton, Crj, Ngunjiri, Jw, Nguyen, Aq, Nguyen, G, Nguyen, Ht, Nguyen, Hlt, Nguyen, Lh, Nguyen, M, Nguyen, Nb, Nguyen, Sh, Nichols, E, Ningrum, Dna, Nixon, Mr, Nomura, S, Noroozi, M, Norrving, B, Noubiap, Jj, Nouri, Hr, Shiadeh, Mn, Nowroozi, Mr, Nsoesie, Eo, Nyasulu, Ps, Odell, Cm, Ofori-Asenso, R, Ogbo, Fa, Ih, Oh, Oladimeji, O, Olagunju, At, Olagunju, To, Olivares, Pr, Olsen, He, Olusanya, Bo, Olusanya, Jo, Ong, Kl, Ong, Sk, Oren, E, Ortiz, A, Ota, E, Otstavnov, Ss, Øverland, S, Owolabi, Mo, P, A, M, Pacella, R, Pakhare, Ap, Pakpour, Ah, Pana, A, Panda-Jonas, S, Park, Ek, Park, J, Parry, Cdh, Parsian, H, Pasdar, Y, Patel, S, Patil, St, Patle, A, Patton, Gc, Paturi, Vr, Paudel, D, Paulson, Kr, Pearce, N, Pereira, A, Pereira, Dm, Perico, N, Pesudovs, K, Petzold, M, Pham, Hq, Phillips, Mr, Pigott, Dm, Pillay, Jd, Piradov, Ma, Pirsaheb, M, Pishgar, F, Plana-Ripoll, O, Polinder, S, Popova, S, Postma, Mj, Pourshams, A, Poustchi, H, Prabhakaran, D, Prakash, S, Prakash, V, Prasad, N, Purcell, Ca, Qorbani, M, Quistberg, Da, Radfar, A, Rafay, A, Rafiei, A, Rahim, F, Rahimi, K, Rahimi, Z, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, Mhu, Rahman, Ma, Rahman, Su, Rai, Rk, Rajati, F, Ranjan, P, Rao, Pc, Rasella, D, Rawaf, Dl, Rawaf, S, Reddy, Ks, Reiner, Rc, Reitsma, Mb, Remuzzi, G, Renzaho, Amn, Resnikoff, S, Rezaei, S, Rezai, Ms, Ribeiro, Alp, Roberts, Nls, Robinson, Sr, Roever, L, Ronfani, L, Roshandel, G, Rostami, A, Roth, Ga, Rothenbacher, D, Rubagotti, E, Sachdev, Ps, Sadat, N, Sadeghi, E, Saeedi, Moghaddam, S, Safari, H, Safari, Y, Safari-Faramani, R, Safdarian, M, Safi, S, Safiri, S, Sagar, R, Sahebkar, A, Sahraian, Ma, Sajadi, Hs, Salam, N, Salama, Js, Salamati, P, Saleem, Z, Salimi, Y, Salimzadeh, H, Salomon, Ja, Salvi, Ss, Salz, I, Samy, Am, Sanabria, J, Sanchez-Niño, Md, Santomauro, Df, Santos, Is, Santos, Jv, Santric, Milicevic, Sao, Mm, Jose, Bp, Sardana, M, Sarker, Ar, Sarmiento-Suárez, R, Sarrafzadegan, N, Sartorius, B, Sarvi, S, Sathian, B, Satpathy, M, Sawant, Ar, Sawhney, M, Saxena, S, Schaeffner, E, Schmidt, Mi, Schneider, Ijc, Schutte, Ae, Schwebel, Dc, Schwendicke, F, Scott, Jg, Sekerija, M, Sepanlou, Sg, Serván-Mori, E, Seyedmousavi, S, Shabaninejad, H, 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Mohammad, Karzan Abdulmuhsin, Mohammadi, Moslem, Mohammadifard, Noushin, Mohammadnia-Afrouzi, Mousa, Mohammed, Mohammed A, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Montañez, Julio Cesar, Moosazadeh, Mahmood, Moradi, Ghobad, Moradi, Mahmoudreza, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Moreno Velásquez, Ilai, Morgado-Da-Costa, Joana, Morrison, Shane Dougla, Moschos, Marilita M, Mousavi, Seyyed Meysam, Mruts, Kalayu Brhane, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Muhammed, Oumer Sada, Mukhopadhyay, Satinath, Muller, Kate, Mumford, John Everett, Murthy, G.V.S., Musa, Kamarul Imran, Mustafa, Ghulam, Nabhan, Ashraf F, Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Najafi, Farid, Nam, Hae Sung, Nangia, Vinay, Nansseu, Jobert Richie, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Suba, Newton, Charles Richard Jame, Ngunjiri, Josephine W, Nguyen, Anh Quynh, Nguyen, Grant, Nguyen, Ha Thu, Nguyen, Huong Lan Thi, Nguyen, Huong Thanh, Nguyen, Long Hoang, Nguyen, Minh, Nguyen, Nam Ba, Nguyen, Son Hoang, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nixon, Molly R, Nomura, Shuhei, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacque, Nouri, Hamid Reza, Shiadeh, Malihe Nourollahpour, Nowroozi, Mohammad Reza, Nsoesie, Elaine O, Nyasulu, Peter S, Odell, Christopher M, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olsen, Helen Elizabeth, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin L, Ong, Sok King, Oren, Eyal, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa Ojo, P A, Mahesh, Pacella, Rosana, Pakhare, Abhijit P, Pakpour, Amir H, Pana, Adrian, Panda-Jonas, Songhomitra, Park, Eun-Kee, Park, Jame, Parry, Charles D H, Parsian, Hadi, Pasdar, Yahya, Patel, Shanti, Patil, Snehal T, Patle, Ajay, Patton, George C, Paturi, Vishnupriya Rao, Paudel, Deepak, Paulson, Katherine R, Pearce, Neil, Pereira, Alexandre, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Pham, Hai Quang, Phillips, Michael R, Pigott, David M, Pillay, Julian David, Piradov, Michael A, Pirsaheb, Meghdad, Pishgar, Farhad, Plana-Ripoll, Oleguer, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, Swayam, Prakash, V., Prasad, Narayan, Purcell, Caroline A, Qorbani, Mostafa, Quistberg, D Alex, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi, Zohreh, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Ranjan, Prabhat, Rao, Puja C, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Reddy, K Srinath, Reiner, Robert C, Reitsma, Marissa Bettay, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio Luiz P, Roberts, Nicholas L S, Robinson, Stephen R, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A, Rothenbacher, Dietrich, Rubagotti, Enrico, Sachdev, Perminder S, Sadat, Nafi, Sadeghi, Ehsan, Saeedi Moghaddam, Sahar, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saleem, Zikria, Salimi, Yahya, Salimzadeh, Hamideh, Salomon, Joshua A, Salvi, Sundeep Santosh, Salz, Inbal, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolore, Santomauro, Damian Francesco, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarmiento-Suárez, Rodrigo, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R, Sawhney, Monika, Saxena, Sonia, Schaeffner, Elke, Schmidt, Maria Inê, Schneider, Ione J C, Schutte, Aletta Elisabeth, Schwebel, David C, Schwendicke, Falk, Scott, James G, Sekerija, Mario, Sepanlou, Sadaf G, Serván-Mori, Edson, Seyedmousavi, Seyedmojtaba, Shabaninejad, Hosein, Shafieesabet, Azadeh, Shahbazi, Mehdi, Shaheen, Amira A, Shaikh, Masood Ali, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Sharafi, Heidar, Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokoohinia, Yalda, Shokraneh, Farhad, Shoman, Haitham, Shrime, Mark G, Si, Si, Siabani, Soraya, Sibai, Abla Mehio, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Skirbekk, Vegard, Sliwa, Karen, Smith, David L, Smith, Mari, Soares Filho, Adauto Martin, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Sorensen, Reed J D, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Starodubov, Vladimir I, Stein, Dan J, Steiner, Caitlyn, Steiner, Timothy J, Stokes, Mark A, Stovner, Lars Jacob, Subart, Michelle L, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Sulo, Gerhard, Sunguya, Bruno F, Sur, Patrick John, Sykes, Bryan L, Sylaja, P.N., Sylte, Dillon O, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadakamadla, Santosh Kumar, Tandon, Nikhil, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Taylor, Hugh R, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekelemedhin, Shishay Wahdey, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Tessema, Belay, Teweldemedhin, Mebrahtu, Thankappan, Kavumpurathu Raman, Theis, Andrew, Thirunavukkarasu, Sathish, Thomas, Nihal, Tilahun, Binyam, To, Quyen G, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Tortajada-Girbés, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Troeger, Christopher E, Tsadik, Afewerki Gebremeskel, Tsoi, Derrick, Tudor Car, Lorainne, Tyrovolas, Stefano, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Undurraga, Eduardo A, Updike, Rachel L, Usman, Muhammad Shariq, Uthman, Olalekan A, Vaduganathan, Muthiah, Vaezi, Afsane, Valdez, Pascual R, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Wang, Yafeng, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Weldegebreal, Fitsum, Weldegwergs, Kidu Gidey, Werdecker, Andrea, West, T Eoin, Westerman, Ronny, Whiteford, Harvey A, Widecka, Justyna, Wijeratne, Tissa, Williams, Hywel C, Wilner, Lauren B, Wilson, Shadrach, Winkler, Andrea Sylvia, Wiyeh, Alison B, Wiysonge, Charles Shey, Wolfe, Charles D A, Woolf, Anthony D, Wyper, Grant M A, Xavier, Deni, Xu, Gelin, Yadgir, Simon, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zandian, Hamed, Zar, Heather J, Zenebe, Zerihun Menlkalew, Zhou, Maigeng, Zipkin, Ben, Zodpey, Sanjay, Zucker, Inbar, Zuhlke, Liesl Joanna, and Murray, Christopher J L
Subjects: Male, Health Status, health statu, HALE, mortality rate, communicable disease, DALYs, Global Burden of Disease, Risk Factors, Prevalence, Medicine and Health Sciences, Singapore, OUTCOMES, disability-adjusted life year, international cooperation, Medicine (all), 11 Medical And Health Sciences, Central African Republic, newborn disease, IRON-DEFICIENCY, AIDS, priority journal, Bahrain, disease severity, Female, Quality-Adjusted Life Years, cerebrovascular accident, Ukraine, Life Sciences & Biomedicine, INTERVENTIONS, Slovakia, DISORDERS, Burundi, WEIGHTS, GBD 2017 DALYs and HALE Collaborators, Communicable Diseases, Article, STYLE, Medicine, General & Internal, Life Expectancy, General & Internal Medicine, Humans, Disabled Persons, human, Healthy Lifestyle, HALE, DALYs, global burden of disease, Mortality, Aged, Science & Technology, Mortality, Premature, HIV, ischemic heart disease, major clinical study, PREVENTION, non communicable disease, GBD, disability-adjusted life-years, age, sex factor, Socioeconomic Factors, Algeria, Federation of Bosnia and Herzegovina, lower respiratory tract infection, Wounds and Injuries, GENDER, Human medicine, trend study, chronic obstructive lung disease
Abstract: Background How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Sociodemographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7.4 years (95% uncertainty interval 74-7.8), from 65.6 years (65.3-65- 8) in 1990 to 73.0 years (72.7-73.3) in 2017. The increase in years of life varied from 5.1 years (5.0-5.3) in high SDI countries to 12.0 years (11.3-12.8) in low SDI countries. Of the additional years of life expected at birth, 26.3% (20.1-33.1) were expected to be spent in poor health in high SDI countries compared with 11.7% (8.8-15.1) in low-middle SDI countries. HALE at birth increased by 6.3 years (5.9-6.7), from 57.0 years (54.6-59.1) in 1990 to 63.3 years (60.5-65.7) in 2017. The increase varied from 3.8 years (3.4-4.1) in high SDI countries to 10.5 years (9.8-11.2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1.0 year (0.4-1.7) in Saint Vincent and the Grenadines (62.4 years [59.9-64.7] in 1990 to 63.5 years [60.9-65.8] in 2017) to 23.7 years (21.9-25.6) in Eritrea (30.7 years [28.9-32.2] in 1990 to 54.4 years [51.5-57.1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1.4 years (0.6-2.3) in Algeria to 11.9 years (10.9-12.9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75.8 years [72.4-78.7]) and males (72.6 years [69 " 8-75.0]) and the lowest estimates were in Central African Republic (47.0 years [43.7-50.2] for females and 42.8 years [40.1-45.6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41.3% (38.8-43.5) for communicable diseases and by 49"8% (47.9-51.6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40.1% (36.8-43.0), although age-standardised DALY rates decreased by 18.1% (16.0-20.2). Interpretation With increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low S DI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

4. 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

5. 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

6. 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

7. 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, Charlson, Fiona, Jha, Vivekanand ; https://orcid.org/0000-0002-8015-9470, Marks, Guy ; https://orcid.org/0000-0002-8976-8053, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Resnikoff, Serge ; https://orcid.org/0000-0002-5866-4446, Maulik, Pallab Kumar ; https://orcid.org/0000-0001-6835-6175, Degenhardt, Louisa ; https://orcid.org/0000-0002-8513-2218, Schutte, Alta ; https://orcid.org/0000-0001-9217-4937, 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, Charlson, Fiona, Jha, Vivekanand ; https://orcid.org/0000-0002-8015-9470, Marks, Guy ; https://orcid.org/0000-0002-8976-8053, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Resnikoff, Serge ; https://orcid.org/0000-0002-5866-4446, Maulik, Pallab Kumar ; https://orcid.org/0000-0001-6835-6175, Degenhardt, Louisa ; https://orcid.org/0000-0002-8513-2218, and Schutte, Alta ; https://orcid.org/0000-0001-9217-4937
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

8. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Murray, CJL, Callender, CSKH, Kulikoff, XR, Srinivasan, V, Abate, D, Abate, KH, Abay, SM, Abbasi, N, Abbastabar, H, Abdela, J, Abdelalim, A, Abdel-Rahman, O, Abdi, A, Abdoli, N, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abebo, TA, Abejie, AN, Aboyans, V, Abraha, HN, Abreu, DMX, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, P, Adamu, AA, Adebayo, OM, Adedeji, IA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adhikari, TB, Adib, MG, Adou, AK, Adsuar, JC, Afarideh, M, Afshin, A, Agarwal, G, Agesa, KM, Aghayan, SA, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akanda, AS, Akbari, ME, Akibu, M, Akinyemi, RO, Akinyemiju, T, Akseer, N, Alahdab, F, Al-Aly, Z, Alam, K, Alebel, A, Aleman, AV, Alene, KA, Al-Eyadhy, A, Ali, R, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Almasi, A, Alonso, J, Al-Raddadi, RM, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Ansari, H, Ansha, MG, Antonio, CAT, Appiah, SCY, Aremu, O, Areri, HA, Arian, N, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Asgedom, SW, Assadi, R, Atey, TMM, Atique, S, Degenhardt, Louisa ; https://orcid.org/0000-0002-8513-2218, Resnikoff, Serge ; https://orcid.org/0000-0002-5866-4446, Maulik, Pallab Kumar ; https://orcid.org/0000-0001-6835-6175, Boufous, Soufiane ; https://orcid.org/0000-0002-5686-1729, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Dolan, Kate ; https://orcid.org/0000-0002-9848-807X, Jha, Vivekanand ; https://orcid.org/0000-0002-8015-9470, Ye, Pengpeng ; https://orcid.org/0000-0002-2924-1436, Pesudovs, Konrad ; https://orcid.org/0000-0002-6322-9369, Gelaw, Yalemzewod ; https://orcid.org/0000-0002-5338-586X, Iqbal, Usman ; https://orcid.org/0000-0002-0614-123X, Bhaumik, Soumyadeep ; https://orcid.org/0000-0001-9579-4453, Murray, CJL, Callender, CSKH, Kulikoff, XR, Srinivasan, V, Abate, D, Abate, KH, Abay, SM, Abbasi, N, Abbastabar, H, Abdela, J, Abdelalim, A, Abdel-Rahman, O, Abdi, A, Abdoli, N, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abebo, TA, Abejie, AN, Aboyans, V, Abraha, HN, Abreu, DMX, Abrham, AR, Abu-Raddad, LJ, Abu-Rmeileh, NME, Accrombessi, MMK, Acharya, P, Adamu, AA, Adebayo, OM, Adedeji, IA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adhikari, TB, Adib, MG, Adou, AK, Adsuar, JC, Afarideh, M, Afshin, A, Agarwal, G, Agesa, KM, Aghayan, SA, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akanda, AS, Akbari, ME, Akibu, M, Akinyemi, RO, Akinyemiju, T, Akseer, N, Alahdab, F, Al-Aly, Z, Alam, K, Alebel, A, Aleman, AV, Alene, KA, Al-Eyadhy, A, Ali, R, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Almasi, A, Alonso, J, Al-Raddadi, RM, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Ammar, W, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Ansari, H, Ansha, MG, Antonio, CAT, Appiah, SCY, Aremu, O, Areri, HA, Arian, N, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Asgedom, SW, Assadi, R, Atey, TMM, Atique, S, Degenhardt, Louisa ; https://orcid.org/0000-0002-8513-2218, Resnikoff, Serge ; https://orcid.org/0000-0002-5866-4446, Maulik, Pallab Kumar ; https://orcid.org/0000-0001-6835-6175, Boufous, Soufiane ; https://orcid.org/0000-0002-5686-1729, Sachdev, Perminder ; https://orcid.org/0000-0002-9595-3220, Dolan, Kate ; https://orcid.org/0000-0002-9848-807X, Jha, Vivekanand ; https://orcid.org/0000-0002-8015-9470, Ye, Pengpeng ; https://orcid.org/0000-0002-2924-1436, Pesudovs, Konrad ; https://orcid.org/0000-0002-6322-9369, Gelaw, Yalemzewod ; https://orcid.org/0000-0002-5338-586X, Iqbal, Usman ; https://orcid.org/0000-0002-0614-123X, and Bhaumik, Soumyadeep ; https://orcid.org/0000-0001-9579-4453
Abstract: Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with th
Published: 2018

9. 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

10. 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, Gregory A., Collaborotors, G. B. D.Causes Death, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M., Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Load, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adamu, Abdu A., Adebayo, Oladimeji, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adookunboh, Olatunii, Adhena, Beyene Meressa, Adib, Mina G., Admasie, Aniha, Afshin, Ashkan, Agarwal, Gina, Agesa, Karelia M., Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Melidi, Ahmed, Muktar Beshir, Ahmed, Sayent, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Fddine, Akbari, Mohammad Esmaeil, Akinyeniti, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M., Alandab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, Francois, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Aminde, Leopold N., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampern, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Aniha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Aremu, Olatunde, Arnlov, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Asfaw, Ephremi Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R., Ausloos, Marcel, Avokpaho, Euripide F. G. A., Awasthi, Ashish, Quintattilla, Beatriz Paulina Ayala, Ayele, Yohanes, Ayer, Rakesh, Azzopardi, Peter S., Babazadeh, Arefeh, Bacha, Umar, Badali, Hamid, Badawi, Alaa, Bali, Ayele Geleto, Ballesteros, Katherine E., Banach, Maciej, Banerjee, Kajori, Bannick, Marlena S., Banoub, Joseph Adel Mattar, Barboza, Miguel A., Barker-Collo, Suzanne Lyu, Barnighausen, Till Winfried, Barquera, Simon, Barrero, Lope, Bassat, Quique, Base, Sanjay, Baune, Bernhard T., Baynes, Habtamu Wondifraw, Bazargan-Hejazi, Shahrzad, Beth, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Mcysam, Bejot, Yannick, Bekele, Bayu Begashaw, Belacliew, Abate Bekele, Belay, Ezra, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bensenor, Isabela M., Berman, Adam F., Bernabe, Eduardo, Bernstein, Robert S., Bertolacci, Gregory J., Beuran, Mircea, Beyranvand, Tina, Bhalla, Ashish, Bhattarai, Suraj, Bhaumik, Sounayadeeep, Bhutta, Zulfiqar A., Biadgo, Belete, Biehl, Molly H., Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shandaat, Bisanzio, Donal, Biswas, Tuhin, Blacker, Brigitte F., Basara, Berrak Bora, Borschmann, Rohan, Bosetti, Cristina, Bozorgmehr, Kayvan, Brady, Oliver J., Brant, Luisa C., Brayne, Carol, Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Briant, Paul Svitil, Britton, Gabrielle, Brugha, Traolach, Busse, Reinhard, Butt, Zahid A., Callender, Charlton S. K. H., Campos-Nonato, Ismael R., Rincon, Julio Cesar Canapuzano, Cano, Jorge, Car, Mate, Cardenas, Rosario, Carreras, Giulia, Carrero, Juan J., Carter, Austin, Carvalho, Felix, Castaneda-Orjuela, Carlos A., Rivas, Jacqueline Castillo, Castle, Chris D., Castro, Clara, Castro, Franz, Catala-Lopez, Ferran, Cerin, Ester, Chaiah, Yazan, Chang, Jung -Chen, Chanson, Fiona J., Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheet, Abdulaal, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J., Chiang, Sheng-Chia, Cicuttini, Flavia M., Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Cooper, Leslie Trumbull, Cortesi, Paolo Angelo, Cortinovis, Monica, Cousin, Ewerton, Cowie, Benjamin C., Criqui, Michael H., Cromwell, Elizabeth A., Crowe, Christopher Stephen, Crump, John A., Cunningham, Matthew, Daba, Alemneh Kabeta, Dadi, Abel Fekadu, Dandona, Lalit, Dandona, Rakhi, Dang, Anh Kim, Dargan, Paul I., Daryani, Ahmad, Das, Siddharth K., Das Gupta, Rajat, Das Neves, Jose, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davis, Adrian C., Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, De La Hoz, Fernando Pio, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta T., Deiparine, Selina, Demoz, Gebre Teklemariam, Demtsu, Baleen Betsu, Denova-Gutierrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Jarlais, Don C. Des, Dessie, Getenet Ayalew, Dey, Subhojit, Dhannaratne, Samath D., Dicker, Daniel, Dinberu, Mesfin Tadese, Ding, Eric L., Dirac, M. Ashworth, Djalalinia, Shirin, Dokova, Klara, Ter Doku, David, Donnelly, Christl A., Dorsey, E. Ray, Doshi, Pratik P., Douwes-Schultz, Dirk, Doyle, Kerrie E., Driscoll, Tim R., Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B., Duraes, Andre R., Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edessa, Dumessa, Edvardsson, David, Eggen, Anne Elise, El Bcheraoui, Charbel, Zaki, Maysaa El Sayed, El-Khatib, Ziad, Elkout, Hajer, Eltinsel, Christian Lycke, Endres, Matthias, Endries, Aman Yesuf, Er, Benjamin, Erskine, Holly E., Eshrati, Babak, Eskandarieh, Sharareh, Esmaeili, Reza, Esteghamati, Alireza, Fakhar, Mahdi, Fakhim, Hamed, Faramarzi, Mahbobeh, Fareed, Mohammad, Farhadi, Farzaneh, Faninha, Carla Sofia E. Sa, Faro, Andre, Farvid, Maryam S., Farzadfar, Farshad, Farzaei, Mohammad Hosein, Feign, Valery L., Feigl, Andrea B., Fentahun, Netsanet, Eereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C., Ferrari, Alice J., Feyissa, Garumma Tolu, Filip, Irina, Finegold, Samuel, Fischer, Florian, Eitzmaurice, Christina, Foigt, Nataliya A., Foreman, Kyle J., Fornari, Carla, Frank, Tahvi D., Fukumoto, Takeshi, Fuller, John E., Fullman, Nancy, Furst, Thomas, Furtado, Joao M., Futran, Neal D., Gallus, Silvano, Garcia-Basteiro, Alberto L., Garcia-Gordillo, Miguel A., Gardner, William M., Gebre, Abadi Kahsu, Gebrehiwol, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gebremichael, Bereket, Gebremichael, Teklu Gebrehiwo, Gelano, Tilayie Feto, Geleijinse, Johanna M., Genova-Maleras, Ricard, Geramo, Yilma Chisha Dea, Gething, Peter W., Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadimi, Reza, Falavarjani, Khalil Ghasemi, Ghasemi-Kasman, Maryam, Ghimire, Mamata, Gibney, Katherine B., Gill, Paramjit Singh, Gill, Tiffany K., Gillum, Richard F., Ginawi, Ibrahim Abdelmageed, Giroud, Maurice, Giussani, Giorgia, Goenka, Shifalika, Goldberg, Ellen M., Goli, Srinivas, Gomez-Dantes, Hector, Gona, Philimon N., Gopalani, Sameer Vali, Gorman, Taren M., Goto, Atsushi, Goulart, Alessandra C., Gnedovskaya, Elena V., Grada, Aymara, Grosso, Giuseppe, Gugnani, Hanish Chander, Guimaraes, Andre Luiz Sena, Gun, Nailing, Gupta, Prakash C., Gupta, Rahid, Gupta, Rajenv, Gupta, Tanush, Gutierrez, Reyna Alma, Gyawali, Bishal, Haagsma, Juanita A., Hafezi-Nejad, Nima, Hagos, Tekleberhan B., Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randall R., Hamidi, Sinner, Handal, Meads J., Hankey, Graeme J., Harb, Hilda L., Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hasan, Mehedi, Hassankhani, Hadi, Hassen, Hamid, Havmoeller, Rasmus, Hay, Roderick J., Hay, Simon I., He, Yihua, Hedayatizadeh-Omran, Akbar, Hegazy, Mohamed I., Heibati, Behzad, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Henry, Nathaniel J., Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Pouria, Heydarpour, Sousan, Hibstu, Desalegn Tsegaw, Hoek, Hans W., Hole, Michael K., Red, Enayatollah Homaie, Hoogar, Praveen, Hosgood, H. Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian C., Hsiao, Thomas, Hu, Guoqing, Huang, John J., Husseini, Abdullatif, Hussen, Mohammedaman Mama, Hutfless, Susan, Idrisov, Bulat, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Nazrul, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jacobsen, Kathryn H., Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovlievic, Mihajlo, Jalu, Moti Tolera, James, Spencer L., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jenkins, Kathy J., Jha, Ravi Prakash, Jha, Vivekanand, Johnson, Catherine O., Johnson, Sarah C., Jonas, Jost B., Joshi, Ankur, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jurisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Karami, Manoochehr, Matin, Behzad Karami, Karch, Andre, Karema, Corine, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Dessalegn H., Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kaul, Anil, Kazemi, Zhila, Karyani, Ali Kazemi, Kazi, Dhruv Satish, Kefale, Adane Teshome, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khafaei, Behzad, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young-Ho, Khater, Mona M., Khoja, Abdullah T., Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Aliasghar A., Kibret, Getiye D., Kidanemariam, Zelalem Teklemariam, Kiirithio, Daniel N., Kim, Daniel, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kivimaki, Mika, Knudsen, Ann Kristin Skrindo, Kocarnik, Jonathan M., Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A., Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael A., Krishan, Kewal, Defo, Barthelemy Kuate, Bicer, Burcu Kinuk, Kumar, G. Anil, Kumar, Manasi, Kumar, Pushpendra, Kutz, Michael J., Kuzin, Igor, Kyu, Hmwe Hmwe, Lad, Deepesh P., Lad, Sheetal D., Lafranconi, Alessandra, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lam, Jennifer O., Lami, Faris Hasan, Van Lansingh, C., Lansky, Sonia, Larson, Heidi J., Latifi, Amman, Lau, Kathryn Mei-Ming, Lazarus, Jeffrey V., Lebedev, Georgy, Lee, Paul H., Leigh, James, Leili, Mostafa, Leshargie, Cheru Tesema, Li, Shanshan, Li, Yichong, Liang, Juan, Lim, Lee-Ling, Lim, Stephen S., Limenih, Miteku Andualem, Linn, Shai, Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Lansdale, Chris, Lopez, Alan D., Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lunevicius, Raimundas, Ma, Stefan, Macarayan, Erlyn Rachelle King, Mackay, Mark T., MacLachlan, Jennifer H., Maddison, Emilie R., Nadotto, Fabiana, Abd El Razek, Hassan Magdy, Abd El Razek, Muhammed Magdy, Maghavani, Dhaval P., Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Manda, Ana-Laura, Mandarano-Filho, Luiz Garcia, Manguerra, Helena, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Marami, Dadi, Maravilla, Joemer C., Marcenes, Wagner, Marczak, Laurie, Marks, Ashley, Marks, Guy B., Martinez, Gabriel, Martins-Melo, Francisco Rogerlandio, Martopullo, Ira, Marz, Winfried, Marron, Melvin B., Masci, Joseph R., Lylassenburg, Benjamin Ballard, Mathur, Manu Raj, Mathur, Prashant, Matzopoulos, Richard, Maulik, Pallab K., Mazidi, Mohsen, McAlinden, Cohn, McGrath, John J., McKee, Martin, McMahon, Brian J., Mehata, Suiiesh, Mehndiratta, Man Mohan, Mehrotra, Ravi, Mehta, Kala M., Mehta, Varshil, Mekonnen, Tefera C., Melese, Addisu, Melku, Mulugeta, Memiah, Peter T. N., Memish, Ziad A., Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A., Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J., Meshovic, Tbmislav, Mezgebe, Haftay Berhane, Miazgowski, Bartosz, Miazgowski, Tomasz, Millear, Anoushka I., Miller, Ted R., Katherine, Molly, Petrie, Miller, Mini, G. K., Mirabi, Parvaneh, Mirarefin, Mojde, Mirica, Andreea, Mirrakhimov, Erkin M., Misganaw, Awoke Temesgen, Mitiku, Habtamu, Moazen, Babak, Mohammad, Karzan Abdulmuhsin, Mohammad, Moslem, Mohammadifard, Noushin, Mohammed, A. Mohammed, Mohammed, Shafiu, Mohan, Viswanathan, Mokdad, Ali H., Molokhia, Mariam, Monasta, Lorenzo, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Velasquez, Ilais Moreno, Morgado-Da-Costa, Joana, Morrison, Shane Douglas, Moschos, Marilita M., Mouodi, Simin, Mousavi, Seyyed Meysam, Muchie, Kindie Eentahun, Mueller, Ulrich Otto, Mukhopadhyay, Satinath, Muller, Kate, Mumford, John Everett, Musa, Jonah, Musa, Kamand Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nachega, Jean B., Nagel, Gabriele, Naheed, Aliya, Nahvijou, Azin, Naik, Gunidatta, Nair, Sanjeev, Najafi, Farid, Naldi, Luigi, Nam, Hae Sung, Nangia, Vinay, Nansseu, Jobert Richie, Nascirnento, Bruno Ramos, Natarajan, Gopalakrishnan, Nearnati, Nahid, Negoi, Ionut, Negoi, Ruxcandra Irina, Nettpane, Subas, Newton, Charles R. J., Ngalesoni, Frida N., Ngunjiri, Josephine W., Anh Quynh Nguyen, Nguyen, Grant, Ha Thu Nguyen, Luong Thanh Nguyen, Long Hoang Nguyen, Nguyen, Minh, Trang Huyen Nguyen, Nichols, Emma, Ningnun, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nixon, Molly R., Nolutshungu, Nomonde, Nomura, Shhhei, Norhelin, Ole F., Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacques, Nouri, Hamid Reza, Shiadeh, Malihe Nourollahpour, Nowroozi, Mohammad Reza, Nyasulu, Peter S., Odell, Christopher M., Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew T., Olivares, Pedro R., Olsen, Helen Elizabeth, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin L., Ong, Sok King Sk, Oren, Eyal, Orpana, Heather M., Ortiz, Alberto, Ortiz, Justin R., Otstavnov, Stanislav S., Overland, Simon, Owolabi, Mayowa Ojo, Ozdemir, Raziye, Mahesh, P. A., Pacella, Rosana, Pakhale, Smita, Pakhare, Abhijit P., Pakpour, Amir H., Pana, Adrian, Panda-Jonas, Songhomitra, Pandian, Jeyaraj Durai, Parisi, Andrea, Park, Eun-Kee, Parry, Charles D. H., Parsian, Hadi, Patel, Shanti, Pati, Sanghamitra, Patton, George C., Paturi, Vishnupriya Rao, Paulson, Katherine R., Pereira, Alexandre, Pereira, David M., Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael R., Piel, Frederic B., Pigott, David M., Pillay, Julian David, Pirsaheb, Meghdad, Pishgar, Farhad, Polinder, Suzanne, Postma, Maarten J., Pourshams, Akram, Poustchi, Hossein, Pujar, Ashwini, Prakash, Swayam, Prasad, Narayan, Purcell, Caroline A., Qorbani, Mostafa, Quintana, Hedley, Quistberg, D. Alex, Rade, Kirankumar Waman, Radfah, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Rao, Puja C., Rawaf, David Laith, Rawaf, Salman, Razo-Garcia, Christian, Reddy, K. Srinath, Reiner, Robert C., Reitsma, Marissa B., Remuzzi, Giuseppe, Renzaho, Andre M. N., Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Riahi, Seyed Mohammad, Ribeiro, Antonio Luiz P., Rios-Blancas, Maria Jesus, Roba, Kedir Teji, Roberts, Nicholas L. S., Robinson, Stephen R., Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Sachdev, Perminder S., Saddik, Basema, Sadeghi, Ehsan, Safari, Hosein, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salam, Nasir, Salama, Joseph S., Salamati, Payman, De Saldanha, Raphael Freitas, Saleem, Zikria, Salimi, Yahya, Salvi, Sundeep Santosh, Salz, Inbal, Sambala, Evanson Zondani, Samy, Abdatiah M., Sanabria, Juan, Sanchez-Nino, Maria Dolores, Santomauro, Damian Francesco, Santos, Itamar S., Santos, Joao Vasco, Milicevic, Milena M. Santric, Jose, Bruno Piassi Sao, Sarker, Abdur Razzaque, Sarmiento-Suarez, Rodrigo, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R., Sawhney, Monika, Saxena, Sonia, Sayyah, Mehdi, Schaeffher, Elke, Schmidt, Maria Ines, Schneider, Ione J. C., Schottker, Ben, Schutte, Aletta Elisabeth, Schwebel, David C., Schwendicke, Falk, Scott, James G., Sekerija, Mario, Sepanlou, Sadaf G., Servan-Mori, Edson, Seyedmousavi, Seyedmojtaba, Shabaninejad, Hosein, Shackelford, Katya Anne, Shafieesabet, Azadeh, Shahbazi, Mehdi, Shaheen, Amira A., Shaikh, Masood Ali, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Shamsizadeh, Morteza, Sharafi, Kiomars, Sharif, Mehdi, Sharif-Alhoseini, Mandi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shiferaw, Mekonnen Sisav, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokraneh, Farhad, Shrine, Mark G., Si, Si, Siabani, Soraya, Siddiqi, Tariq J., Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silberberg, Donald H., Silva, Diego Augusto Santos, Silva, Joao Pedro, Da Silva, Natacha Torres, Silveira, Dayane Bride Alves, Singh, Jasvinder A., Singh, Narinder Pal, Singh, Prashant Kumar, Singh, Virendra, Sinha, Dhirendra Narain, Sliwa, Karen, Smith, Mari, Sobaih, Badr Hasan, Sobhani, Soheila, Solangwi, Eugene, Soneji, Samir S., Soofi, Moslem, Sorensen, Reed J. D., Soriano, Joan B., Soyiri, Ireneous N., Sposato, Luciano A., Sreeramareddy, Chandrashekhar F., Srinivasan, Vinay, Stanaway, Jeffrey D., Starodubov, Vladimir I., Stathopoulou, Vasiliki, Stein, Dan J., Steiner, Caitlyn, Stewart, Leo G., Stokes, Mark A., Subart, Michelle L., Sudaryanto, Agus, Sufiyan, Mu'awiyyah Babale, Sur, Patrick John, Sutradhar, Ipsita, Sykes, Bryan L., Sylaja, P. N., Sylte, Dillon O., Szoeke, Cassandra E. I., Tabares-Seisdedos, Rafael, Tabuchi, Takahiro, Tadakamadla, Santosh Kumar, Takahashi, Ken, Tandon, Nikhil, Tassew, Segen Gebremeskel, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Teshale, Manaye Yihune, Tesserna, Belay, Tessema, Gizachew Assefa, Thankappan, Kavumpurathu Raman, Thirinavukkarasu, Sathish, Thomas, Nihal, Thrift, Amanda G., Thurston, George D., Tilahun, Binyam, To, Quyen G., Tobe-Gai, Ruoyan, Tonellli, Marcello, Topor-Madry, Roman, Torre, Anna E., Tortajada-Cirbes, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Bach Xuan Tran, Khah Bao Tran, Tripathi, Suryakant, Troeger, Christopher E., Truelsen, Thomas Clement, Nu Thi Truong, Tsadik, Afewerki Gebremeskel, Tsoi, Derrick, Car, Lorainne Tudor, Tuzcu, E. Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley N., Whiff, Irfan, Undurraga, Eduardo A., Updike, Rachel L., Usman, Muhammad Shariq, Uthman, Olalekan A., Uzun, Selen Begum, Vaduganathan, Muthiah, Vaezi, Afsane, Vaidya, Gaurang, Valdez, Pascual R., Varavikova, Elena, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Villafaina, Santos, Violante, Francesco S., Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Email, Vos, Theo, Wagner, Gregory R., Wagnew, Fasil Shiferaw, Waheed, Yasir, Wallin, Mitchell Taylor, Watson, Judd L., Wang, Yanping, Wang, Yuan-Pang, Wassie, Molla Mesele, Weiderpass, Elisabete, Weintraub, Robert G., Weldegebreal, Eitsum, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Werkneh, Adhena Ayaliew, West, T. Eoin, Westerman, Ronny, Whiteford, Harvey A., Widecka, Justyna, Wilner, Lauren B., Wilson, Shadrach, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D. A., Wu, Shouling, Wu, Yun-Chun, Wyper, Grant M. A., Xavier, Denis, Xu, Gelin, Yadgir, Simon, Yadollahpour, Ali, Jabbari, Seyed Hossein Yahyazadeh, Yakob, Bereket, Yan, Lijing L., Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Yentur, Gokalp Kadri, Yeshaneh, Alex, Yimer, Ebrahim M., Yip, Paul, Yirsaw, Biruck Desalegn, Yisma, Engida, Yonemoto, Naohiro, Yonga, Gerald, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Bin Zaman, Sojib, Zamani, Mohammad, Zare, Zohreh, Zeleke, Ayalew Jejaw, Zenebe, Zerihun Menlkalew, Zhang, Anthony Lin, Zhang, Kai, Zhou, Maigeng, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Naghavi, Ntishsen, Murray, Christopher J. 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Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Riahi, Sm, Ribeiro, Alp, Rios-Blancas, Mj, Roba, Kt, Roberts, Nl, Robinson, Sr, Sahraian, Ma, Saldanha, Rf, Sambala, Ez, Samy, Am, Sanchez-Niño, Md, Santomauro, Df, Santos, Jv, Milicevic, Mm, Sao Jose, Bp, Sarker, Ar, Sarmiento-Suárez, R, Sawant, Ar, Schmidt, Mi, Schneider, Ijc, Schöttker, B, Schutte, Ae, Schwebel, Dc, Scott, Jg, Sepanlou, Sg, Serván-Mori, E, Shackelford, Ka, Shaheen, Aa, Shaikh, Ma, Shrime, Mg, Siddiqi, Tj, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silva, Ntd, Silveira, Dga, Singh, Ja, Singh, Np, Singh, Pk, Sinha, Dn, Sobaih, Bh, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Starodubov, Vi, Stein, Dj, Stewart, Lg, Stokes, Ma, Subart, Ml, Sufiyan, Mb, Sur, Pj, Sykes, Bl, Sylaja, Pn, Sylte, Do, Szoeke, Cei, Tabarés-Seisdedos, R, Tadakamadla, Sk, Tassew, Sg, Tekalign, Tg, Tekle, Mg, Temsah, Mh, Teshale, My, Tessema, Ga, Thankappan, Kr, Thrift, Ag, Thurston, Gd, To, Qg, Torre, Ae, 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Subjects: Adult, Male, Adolescent, national age-sex-specific mortality, UNITED-STATES, Global Health, Socioeconomic Factor, Global Burden of Disease, GBD, causes of death, Young Adult, Age Distribution, Life Expectancy, General & Internal Medicine, Cause of Death, PUBLIC-HEALTH PROBLEM, mortality, 282 causes global burden of disease, Sex Distribution, Child, Aged, Aged, 80 and over, BARRIERS, DEMENTIA, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, TRENDS, PREVENTION, PREVALENCE, ALZHEIMERS-DISEASE, INDIVIDUALS, 3121 General medicine, internal medicine and other clinical medicine, Child, Preschool, REGISTRATION, Female, Human medicine, Human
Abstract: 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 (CODErn), 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 (NC Ds) 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 186% (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% (7.08.8). The number of deaths for CMNN causes decreased by 222% (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, respirator}, 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. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

11. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017

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Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Almasi, Ali, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari Mehari, Atique, Suleman, 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Subjects: Adult, Male, Population Density, GBD, population, fertility, Adolescent, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, Global Health, Global Burden of Disease, Young Adult, Child, Preschool, General & Internal Medicine, Female, Human medicine, Mortality, Child, Population Growth, Birth Rate, Aged, Human, Maternal Age
Abstract: Background Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-cotnponent method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings From 1950 to 2017, TFRs decreased by 49.4% (95% uncertainty interval [UI] 46.4-52.0). The TFR decreased from 4.7 livebirths (4.5-4.9) to 2.4 livebirths (2.2-2.5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83.8 million people per year since 1985. The global population increased by 197-2% (193.3-200.8) since 1950, from 2.6 billion (2.5-2.6) to 7.6 billion (7.4-7.9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2.0%; this rate then remained nearly constant until 1970 and then decreased to 1.1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2.5% in 1963 to O7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2.7%. The global average age increased from 26.6 years in 1950 to 32.1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59.9% to 65.3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1.0 livebirths (95% UI 0. 9-1.2) in Cyprus to a high of 7.1 livebirths (6.8-7.4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0.08 livebirths (0.07-0.09) in South Korea to 2.4 livebirths (2.2-2.6) in Niger, and the TFR over age 30 years (I F030; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0.3 livebirths (0.3-0-4) in Puerto Rico to a high of 3.1 livebirths (3.0-3.2) in Niger. TF030 was higher than TFU25 in 145 countries and territories in 2017.33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2.0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

12. 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, Spencer L., Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M., Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen M. E., Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N., Adamu, Abdu A., Adebayo, Oladimeji M., Adekanmbi, Victor, Adetokunboh, Olatunji O., Adib, Mina G., Adsuar, Jose C., Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M., Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M., Al-Raddadi, Rajaa M., Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alouani, Mohamed M. L., Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Aminde, Leopold N., Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Arabloo, Jalal, Arauz, Antonio, Aremu, Olatunde, Ariani, Filippo, Armoon, Bahroom, Ärnlöv, Johan, Arora, Amit, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Asghar, Rana Jawad, Ataro, Zerihun, Atre, Sachin R., Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F. G. A., Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S., Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Bali, Ayele Geleto, Ballesteros, Katherine E., Ballew, Shoshana H., Banach, Maciej, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Belachew, Abate Bekele, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bensenor, Isabela M., Bernabe, Eduardo, Bernstein, Robert S., Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Blacker, Brigette F., Blyth, Fiona M., Bou-Orm, Ibrahim R., Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J., Brainin, Michael, Brant, Luisa C., Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Briant, Paul Svitil, Briggs, Andrew M., Briko, Andrey Nikolaevich, Britton, Gabrielle, Brugha, Traolach, Buchbinder, Rachelle, Busse, Reinhard, Butt, Zahid A., Cahuana-Hurtado, Lucero, Cano, Jorge, Cárdenas, Rosario, Carrero, Juan J., Carter, Austin, Carvalho, Félix, Castañeda-Orjuela, Carlos A., Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Cercy, Kelly M., Cerin, Ester, Chaiah, Yazan, Chang, Alex R., Chang, Hsing-Yi, Chang, Jung-Chen, Charlson, Fiona J., Chattopadhyay, Aparajita, Chattu, Vijay Kumar, Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chin, Ken Lee, Chitheer, Abdulaal, Choi, Jee-Young J., Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J., Cicuttini, Flavia M., Ciobanu, Liliana G., Cirillo, Massimo, Claro, Rafael M., Collado-Mateo, Daniel, Cooper, Cyrus, Coresh, Josef, Cortesi, Paolo Angelo, Cortinovis, Monica, Costa, Megan, Cousin, Ewerton, Criqui, Michael H., Cromwell, Elizabeth A., Cross, Marita, Crump, John A., Dadi, Abel Fekadu, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I., Daryani, Ahmad, Das Gupta, Rajat, Das Neves, José, Dasa, Tamirat Tesfaye, Davey, Gail, Davis, Adrian C., Davitoiu, Dragos Virgil, De Courten, Barbora, De La Hoz, Fernando Pio, De Leo, Diego, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Demoz, Gebre Teklemariam, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C., Dessie, Getenet Ayalew, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dinberu, Mesfin Tadese, Dirac, M. Ashworth, Djalalinia, Shirin, Doan, Linh, Dokova, Klara, Doku, David Teye, Dorsey, E. Ray, Doyle, Kerrie E., Driscoll, Tim Robert, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B., Duraes, Andre R., Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Echko, Michelle Marie, Edvardsson, David, Effiong, Andem, Ehrlich, Joshua R., El Bcheraoui, Charbel, El Sayed Zaki, Maysaa, El-Khatib, Ziad, Elkout, Hajer, Elyazar, Iqbal R. F., Enayati, Ahmadali, Endries, Aman Yesuf, Er, Benjamin, Erskine, Holly E., Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Esteghamati, Sadaf, Fakhim, Hamed, Fallah Omrani, Vahid, Faramarzi, Mahbobeh, Fareed, Mohammad, Farhadi, Farzaneh, Farid, Talha A., Farinha, Carla Sofia E. sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S., Farzadfar, Farshad, Feigin, Valery L., Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C., Ferrari, Alize J., Feyissa, Garumma Tolu, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Foigt, Nataliya A., Foreman, Kyle J., Fox, Jack, Frank, Tahvi D., Fukumoto, Takeshi, Fullman, Nancy, Fürst, Thomas, Furtado, João M., Futran, Neal D., Gall, Seana, Ganji, Morsaleh, Gankpe, Fortune Gbetoho, Garcia-Basteiro, Alberto L., Gardner, William M., Gebre, Abadi Kahsu, Gebremedhin, Amanuel Tesfay, Gebremichael, Teklu Gebrehiwo, Gelano, Tilayie Feto, Geleijnse, Johanna M., Genova-Maleras, Ricard, Geramo, Yilma Chisha Dea, Gething, Peter W., Gezae, Kebede Embaye, Ghadiri, Keyghobad, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghimire, Mamata, Ghosh, Rakesh, Ghoshal, Aloke Gopal, Giampaoli, Simona, Gill, Paramjit Singh, Gill, Tiffany K., Ginawi, Ibrahim Abdelmageed, Giussani, Giorgia, Gnedovskaya, Elena V., Goldberg, Ellen M., Goli, Srinivas, Gómez-Dantés, Hector, Gona, Philimon N., Gopalani, Sameer Vali, Gorman, Taren M., Goulart, Alessandra C., Goulart, Bárbara Niegia Garcia, Grada, Ayman, Grams, Morgan E., Grosso, Giuseppe, Gugnani, Harish Chander, Guo, Yuming, Gupta, Prakash C., Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gyawali, Bishal, Haagsma, Juanita A., Hachinski, Vladimir, Hafezi-Nejad, Nima, Haghparast Bidgoli, Hassan, Hagos, Tekleberhan B., Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R., Hamidi, Samer, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hasan, Mehedi, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawley, Caitlin N., Hay, Roderick J., Hay, Simon I., Hedayatizadeh-Omran, Akbar, Heibati, Behzad, Hendrie, Delia, Henok, Andualem, Herteliu, Claudiu, Heydarpour, Sousan, Hibstu, Desalegn Tsegaw, Hoang, Huong Thanh, Hoek, Hans W., Hoffman, Howard J., Hole, Michael K., Homaie Rad, Enayatollah, Hoogar, Praveen, Hosgood, H. Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J., Huynh, Chantal K., Iburg, Kim Moesgaard, Ikeda, Chad Thomas, Ileanu, Bogdan, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jacobsen, Kathryn H., Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S., Johnson, Catherine O., Jonas, Jost B., Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Kanchan, Tanuj, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narges, Karimi, Seyed M., Kasaeian, Amir, Kassa, Dessalegn H., Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kawakami, Norito, Karyani, Ali Kazemi, Keighobadi, Masoud Masoud, Keiyoro, Peter Njenga, Kemmer, Laura, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Khader, Yousef Saleh, Khafaei, Behzad, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young-Ho, Khazaei, Mohammad, Khoja, Abdullah T., Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Kiadaliri, Aliasghar A., Kiirithio, Daniel N., Kim, Cho-Il, Kim, Daniel, Kim, Pauline, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kivimäki, Mika, Knudsen, Ann Kristin Skrindo, Kocarnik, Jonathan M., Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A., Kosen, Soewarta, Kotsakis, Georgios A., Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael A., Krishan, Kewal, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G. Anil, Kumar, Manasi, Kyu, Hmwe Hmwe, Lad, Deepesh P., Lad, Sheetal D., Lafranconi, Alessandra, Lalloo, Ratilal, Lallukka, Tea, Lami, Faris Hasan, Lansingh, Van C., Latifi, Arman, Lau, Kathryn Mei-Ming, Lazarus, Jeffrey V., Leasher, Janet L., Ledesma, Jorge R., Lee, Paul H., Leigh, James, Leung, Janni, Levi, Miriam, Lewycka, Sonia, Li, Shanshan, Li, Yichong, Liao, Yu, Liben, Misgan Legesse, Lim, Lee-Ling, Lim, Stephen S., Liu, Shiwei, Lodha, Rakesh, Looker, Katharine J., Lopez, Alan D., Lorkowski, Stefan, Lotufo, Paulo A., Low, Nicola, Lozano, Rafael, Lucas, Tim C. D., Lucchesi, Lydia R., Lunevicius, Raimundas, Lyons, Ronan A., Ma, Stefan, Macarayan, Erlyn Rachelle King, Mackay, Mark T., Madotto, Fabiana, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Maghavani, Dhaval P., Mahotra, Narayan Bahadur, Mai, Hue Thi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Mamun, Abdullah A., Manda, Ana-Laura, Manguerra, Helena, Manhertz, Treh, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Mapoma, Chabila Christopher, Maravilla, Joemer C., Marcenes, Wagner, Marks, Ashley, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Marzan, Melvin B., Mashamba-Thompson, Tivani Phosa, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Matsushita, Kunihiro, Maulik, Pallab K., Mazidi, Mohsen, McAlinden, Colm, McGrath, John J., McKee, Martin, Mehndiratta, Man Mohan, Mehrotra, Ravi, Mehta, Kala M., Mehta, Varshil, Mejia-Rodriguez, Fabiola, Mekonen, Tesfa, Melese, Addisu, Melku, Mulugeta, Meltzer, Michele, Memiah, Peter T. N., Memish, Ziad A., Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A., Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J., Mestrovic, Tomislav, Mezerji, Naser Mohammad Gholi, Miazgowski, Bartosz, Miazgowski, Tomasz, Millear, Anoushka I., Miller, Ted R., Miltz, Benjamin, Mini, G. K., Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke Temesgen, Mitchell, Philip B., Mitiku, Habtamu, Moazen, Babak, Mohajer, Bahram, Mohammad, Karzan Abdulmuhsin, Mohammadifard, Noushin, Mohammadnia-Afrouzi, Mousa, Mohammed, Mohammed A., Mohammed, Shafiu, Mohebi, Farnam, Moitra, Modhurima, Mokdad, Ali H., Molokhia, Mariam, Monasta, Lorenzo, Moodley, Yoshan, Moosazadeh, Mahmood, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Moreno Velásquez, Ilais, Morgado-Da-Costa, Joana, Morrison, Shane Douglas, Moschos, Marilita M., Mountjoy-Venning, W. Cliff, Mousavi, Seyyed Meysam, Mruts, Kalayu Brhane, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Muhammed, Oumer Sada, Mukhopadhyay, Satinath, Muller, Kate, Mumford, John Everett, Murhekar, Manoj, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Nabhan, Ashraf F., Nagata, Chie, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Naik, Nitish, Najafi, Farid, Naldi, Luigi, Nam, Hae Sung, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Natarajan, Gopalakrishnan, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Subas, Newton, Charles Richard James, Ngunjiri, Josephine W., Nguyen, Anh Quynh, Nguyen, Ha Thu, Nguyen, Huong Lan Thi, Nguyen, Huong Thanh, Nguyen, Long Hoang, Nguyen, Minh, Nguyen, Nam Ba, Nguyen, Son Hoang, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nixon, Molly R., Nolutshungu, Nomonde, Nomura, Shuhei, Norheim, Ole F., Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacques, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nsoesie, Elaine O., Nyasulu, Peter S., Odell, Christopher M., Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew T., Olagunju, Tinuke O., Olivares, Pedro R., Olsen, Helen Elizabeth, Olusanya, Bolajoko Olubukunola, Ong, Kanyin L., Ong, Sok King, Oren, Eyal, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S., Øverland, Simon, Owolabi, Mayowa Ojo, P A, Mahesh, Pacella, Rosana, Pakpour, Amir H., Pana, Adrian, Panda-Jonas, Songhomitra, Parisi, Andrea, Park, Eun-Kee, Parry, Charles D. H., Patel, Shanti, Pati, Sanghamitra, Patil, Snehal T., Patle, Ajay, Patton, George C., Paturi, Vishnupriya Rao, Paulson, Katherine R., Pearce, Neil, Pereira, David M., Perico, Norberto, Pesudovs, Konrad, Pham, Hai Quang, Phillips, Michael R., Pigott, David M., Pillay, Julian David, Piradov, Michael A., Pirsaheb, Meghdad, Pishgar, Farhad, Plana-Ripoll, Oleguer, Plass, Dietrich, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J., Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, Swayam, Prakash, V., Purcell, Caroline A., Purwar, Manorama B., Qorbani, Mostafa, Quistberg, D. AlexRadfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz ur, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Ram, Usha, Ranjan, Prabhat, Ranta, Anna, Rao, Puja C., Rawaf, David Laith, Rawaf, Salman, Reddy, K. Srinath, Reiner, Robert C., Reinig, Nickolas, Reitsma, Marissa Bettay, Remuzzi, Giuseppe, Renzaho, Andre M. N., Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio Luiz P., Roberts, Nicholas L. 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Fabiola, Mekonen, Tesfa, Melese, Addisu, Melku, Mulugeta, Meltzer, Michele, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Mezerji, Naser Mohammad Gholi, Miazgowski, Bartosz, Miazgowski, Tomasz, Millear, Anoushka I, Miller, Ted R, Miltz, Benjamin, Mini, G.K., Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke Temesgen, Mitchell, Philip B, Mitiku, Habtamu, Moazen, Babak, Mohajer, Bahram, Mohammad, Karzan Abdulmuhsin, Mohammadifard, Noushin, Mohammadnia-Afrouzi, Mousa, Mohammed, Mohammed A, Mohammed, Shafiu, Mohebi, Farnam, Moitra, Modhurima, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moodley, Yoshan, Moosazadeh, Mahmood, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Moreno Velásquez, Ilai, Morgado-Da-Costa, Joana, Morrison, Shane Dougla, Moschos, Marilita M, Mousavi, Seyyed Meysam, Mruts, Kalayu Brhane, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Muhammed, Oumer Sada, Mukhopadhyay, Satinath, Muller, Kate, Mumford, John Everett, Murhekar, Manoj, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Nabhan, Ashraf F, Nagata, Chie, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Naik, Nitish, Najafi, Farid, Naldi, Luigi, Nam, Hae Sung, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramo, Natarajan, Gopalakrishnan, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Suba, Newton, Charles Richard Jame, Ngunjiri, Josephine W, Nguyen, Anh Quynh, Nguyen, Ha Thu, Nguyen, Huong Lan Thi, Nguyen, Huong Thanh, Nguyen, Long Hoang, Nguyen, Minh, Nguyen, Nam Ba, Nguyen, Son Hoang, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nixon, Molly R, Nolutshungu, Nomonde, Nomura, Shuhei, Norheim, Ole F, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacque, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nsoesie, Elaine O, Nyasulu, Peter S, Odell, Christopher M, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olsen, Helen Elizabeth, Olusanya, Bolajoko Olubukunola, Ong, Kanyin L, Ong, Sok King, Oren, Eyal, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa Ojo, P A, Mahesh, Pacella, Rosana, Pakpour, Amir H, Pana, Adrian, Panda-Jonas, Songhomitra, Parisi, Andrea, Park, Eun-Kee, Parry, Charles D H, Patel, Shanti, Pati, Sanghamitra, Patil, Snehal T, Patle, Ajay, Patton, George C, Paturi, Vishnupriya Rao, Paulson, Katherine R, Pearce, Neil, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Pham, Hai Quang, Phillips, Michael R, Pigott, David M, Pillay, Julian David, Piradov, Michael A, Pirsaheb, Meghdad, Pishgar, Farhad, Plana-Ripoll, Oleguer, Plass, Dietrich, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, Swayam, Prakash, V., Purcell, Caroline A, Purwar, Manorama B, Qorbani, Mostafa, Quistberg, D Alex, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz ur, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Ram, Usha, Ranjan, Prabhat, Ranta, Anna, Rao, Puja C, Rawaf, David Laith, Rawaf, Salman, Reddy, K Srinath, Reiner, Robert C, Reinig, Nickola, Reitsma, Marissa Bettay, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio Luiz P, Robinson, Stephen R, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A, Roy, Ambuj, Rubagotti, Enrico, Sachdev, Perminder S, Sadat, Nafi, Saddik, Basema, Sadeghi, Ehsan, Saeedi Moghaddam, Sahar, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saleem, Komal, Saleem, Zikria, Salimi, Yahya, Salomon, Joshua A, Salvi, Sundeep Santosh, Salz, Inbal, Samy, Abdallah M, Sanabria, Juan, Sang, Yingying, Santomauro, Damian Francesco, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R, Sawhney, Monika, Saxena, Sonia, Saylan, Mete, Schaeffner, Elke, Schmidt, Maria Inê, Schneider, Ione J C, Schöttker, Ben, Schwebel, David C, Schwendicke, Falk, Scott, James G, Sekerija, Mario, Sepanlou, Sadaf G, Serván-Mori, Edson, Seyedmousavi, Seyedmojtaba, Shabaninejad, Hosein, Shafieesabet, Azadeh, Shahbazi, Mehdi, Shaheen, Amira A, Shaikh, Masood Ali, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Shamsizadeh, Morteza, Sharafi, Heidar, Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shishani, Kawkab, Shiue, Ivy, Shokraneh, Farhad, Shoman, Haitham, Shrime, Mark G, Si, Si, Siabani, Soraya, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Slepak, Erica Leigh N, Sliwa, Karen, Smith, David L, Smith, Mari, Soares Filho, Adauto Martin, Sobaih, Badr Hasan, Sobhani, Soheila, Sobngwi, Eugène, Soneji, Samir S, Soofi, Moslem, Soosaraei, Masoud, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stein, Dan J, Steiner, Caitlyn, Steiner, Timothy J, Stokes, Mark A, Stovner, Lars Jacob, Subart, Michelle L, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Sunguya, Bruno F, Sur, Patrick John, Sutradhar, Ipsita, Sykes, Bryan L, Sylte, Dillon O, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadesse, Birkneh Tilahun, Tandon, Nikhil, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Taylor, Hugh R, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekelemedhin, Shishay Wahdey, Tekle, Merhawi Gebremedhin, Temesgen, Habtamu, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Teweldemedhin, Mebrahtu, Thankappan, Kavumpurathu Raman, Thomas, Nihal, Tilahun, Binyam, To, Quyen G, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Torre, Anna E, Tortajada-Girbés, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Troeger, Christopher E, Truelsen, Thomas Clement, Tsilimbaris, Miltiadis K, Tsoi, Derrick, Tudor Car, Lorainne, Tuzcu, E Murat, Ukwaja, Kingsley N, Ullah, Irfan, Undurraga, Eduardo A, Unutzer, Jurgen, Updike, Rachel L, Usman, Muhammad Shariq, Uthman, Olalekan A, Vaduganathan, Muthiah, Vaezi, Afsane, Valdez, Pascual R, Varughese, Santosh, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vosoughi, Kia, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Waller, Stephen G, Wang, Yafeng, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Weldegebreal, Fitsum, Weldegwergs, Kidu Gidey, Werdecker, Andrea, West, T Eoin, Whiteford, Harvey A, Widecka, Justyna, Wijeratne, Tissa, Wilner, Lauren B, Wilson, Shadrach, Winkler, Andrea Sylvia, Wiyeh, Alison B, Wiysonge, Charles Shey, Wolfe, Charles D A, Woolf, Anthony D, Wu, Shouling, Wu, Yun-Chun, Wyper, Grant M A, Xavier, Deni, Xu, Gelin, Yadgir, Simon, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeleke, Ayalew Jejaw, Zenebe, Zerihun Menlkalew, Zhang, Kai, Zhao, Zheng, Zhou, Maigeng, Zodpey, Sanjay, Zucker, Inbar, Vos, Theo, and Murray, Christopher J L
Subjects: YLDs, global burden of disease, General & Internal Medicine, Medicine (all), prevalence, incidence, Human medicine, global burden of disease, YLDs, incidence, prevalence, GBD, years lived with disability
Abstract: 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 39% (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-hatin 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. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

13. Public health utility of cause of death data: applying empirical algorithms to improve data quality.

Author: Johnson SC, Cunningham M, Dippenaar IN, Sharara F, Wool EE, Agesa KM, Han C, Miller-Petrie MK, Wilson S, Fuller JE, Balassyano S, Bertolacci GJ, Davis Weaver N, Lopez AD, Murray CJL, and Naghavi M
Subjects: Algorithms, Brazil, Cause of Death, Female, France, Humans, Japan, Male, Data Accuracy, Global Health
Abstract: Background: Accurate, comprehensive, cause-specific mortality estimates are crucial for informing public health decision making worldwide. Incorrectly or vaguely assigned deaths, defined as garbage-coded deaths, mask the true cause distribution. The Global Burden of Disease (GBD) study has developed methods to create comparable, timely, cause-specific mortality estimates; an impactful data processing method is the reallocation of garbage-coded deaths to a plausible underlying cause of death. We identify the pattern of garbage-coded deaths in the world and present the methods used to determine their redistribution to generate more plausible cause of death assignments., Methods: We describe the methods developed for the GBD 2019 study and subsequent iterations to redistribute garbage-coded deaths in vital registration data to plausible underlying causes. These methods include analysis of multiple cause data, negative correlation, impairment, and proportional redistribution. We classify garbage codes into classes according to the level of specificity of the reported cause of death (CoD) and capture trends in the global pattern of proportion of garbage-coded deaths, disaggregated by these classes, and the relationship between this proportion and the Socio-Demographic Index. We examine the relative importance of the top four garbage codes by age and sex and demonstrate the impact of redistribution on the annual GBD CoD rankings., Results: The proportion of least-specific (class 1 and 2) garbage-coded deaths ranged from 3.7% of all vital registration deaths to 67.3% in 2015, and the age-standardized proportion had an overall negative association with the Socio-Demographic Index. When broken down by age and sex, the category for unspecified lower respiratory infections was responsible for nearly 30% of garbage-coded deaths in those under 1 year of age for both sexes, representing the largest proportion of garbage codes for that age group. We show how the cause distribution by number of deaths changes before and after redistribution for four countries: Brazil, the United States, Japan, and France, highlighting the necessity of accounting for garbage-coded deaths in the GBD., Conclusions: We provide a detailed description of redistribution methods developed for CoD data in the GBD; these methods represent an overall improvement in empiricism compared to past reliance on a priori knowledge.
Published: 2021
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14. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study.

Author: Rudd KE, Johnson SC, Agesa KM, Shackelford KA, Tsoi D, Kievlan DR, Colombara DV, Ikuta KS, Kissoon N, Finfer S, Fleischmann-Struzek C, Machado FR, Reinhart KK, Rowan K, Seymour CW, Watson RS, West TE, Marinho F, Hay SI, Lozano R, Lopez AD, Angus DC, Murray CJL, and Naghavi M
Subjects: Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Female, Humans, Incidence, Infant, Infant, Newborn, Male, Middle Aged, Sex Distribution, Socioeconomic Factors, Young Adult, Global Burden of Disease statistics & numerical data, Sepsis epidemiology, Sepsis mortality
Abstract: Background: Sepsis is life-threatening organ dysfunction due to a dysregulated host response to infection. It is considered a major cause of health loss, but data for the global burden of sepsis are limited. As a syndrome caused by underlying infection, sepsis is not part of standard Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) estimates. Accurate estimates are important to inform and monitor health policy interventions, allocation of resources, and clinical treatment initiatives. We estimated the global, regional, and national incidence of sepsis and mortality from this disorder using data from GBD 2017., Methods: We used multiple cause-of-death data from 109 million individual death records to calculate mortality related to sepsis among each of the 282 underlying causes of death in GBD 2017. The percentage of sepsis-related deaths by underlying GBD cause in each location worldwide was modelled using mixed-effects linear regression. Sepsis-related mortality for each age group, sex, location, GBD cause, and year (1990-2017) was estimated by applying modelled cause-specific fractions to GBD 2017 cause-of-death estimates. We used data for 8·7 million individual hospital records to calculate in-hospital sepsis-associated case-fatality, stratified by underlying GBD cause. In-hospital sepsis-associated case-fatality was modelled for each location using linear regression, and sepsis incidence was estimated by applying modelled case-fatality to sepsis-related mortality estimates., Findings: In 2017, an estimated 48·9 million (95% uncertainty interval [UI] 38·9-62·9) incident cases of sepsis were recorded worldwide and 11·0 million (10·1-12·0) sepsis-related deaths were reported, representing 19·7% (18·2-21·4) of all global deaths. Age-standardised sepsis incidence fell by 37·0% (95% UI 11·8-54·5) and mortality decreased by 52·8% (47·7-57·5) from 1990 to 2017. Sepsis incidence and mortality varied substantially across regions, with the highest burden in sub-Saharan Africa, Oceania, south Asia, east Asia, and southeast Asia., Interpretation: Despite declining age-standardised incidence and mortality, sepsis remains a major cause of health loss worldwide and has an especially high health-related burden in sub-Saharan Africa., Funding: The Bill & Melinda Gates Foundation, the National Institutes of Health, the University of Pittsburgh, the British Columbia Children's Hospital Foundation, the Wellcome Trust, and the Fleming Fund., (Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access Article under the CC BY 4.0 licence. Published by Elsevier Ltd.. All rights reserved.)
Published: 2020
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14 results on '"Agesa, Km"'

1. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study

3. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

4. Erratum: Department of Error

5. 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

6. 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

8. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

9. 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

10. 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

11. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017

12. 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

13. Public health utility of cause of death data: applying empirical algorithms to improve data quality.

14. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study.

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