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9. Mapping routine measles vaccination in low- and middle-income countries

Author

Sbarra, Alyssa N, Rolfe, Sam, Nguyen, Jason Q, Earl, Lucas, Galles, Natalie C, Marks, Ashley, Abbas, Kaja M, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahi, Mohammad, Abegaz, Kedir Hussein, Abiy, Hailemariam Abiy Alemu, Abolhassani, Hassan, Abreu, Lucas Guimaraes, Abrigo, Michael RM, Abushouk, Abdelrahman I, Accrombessi, Manfred Mario Kokou, Adabi, Maryam, Adebayo, Oladimeji M, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adham, Davoud, Afarideh, Mohsen, Aghaali, Mohammad, Ahmad, Tauseef, Ahmadi, Raman, Ahmadi, Keivan, Ahmed, Muktar Beshir, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Alemnew, Birhan Tamene, Ali, Beriwan Abdulqadir, Ali, Muhammad, Alijanzadeh, Mehran, Alinia, Cyrus, Alipoor, Reza, Alipour, Vahid, Alizade, Hesam, Aljunid, Syed Mohamed, Almasi, Ali, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Amare, Bekalu, Amini, Saeed, Amini-Rarani, Mostafa, Amiri, Fatemeh, Amit, Arianna Maever L, Amugsi, Dickson A, Ancuceanu, Robert, Andrei, Catalina Liliana, Anjomshoa, Mina, Ansari, Fereshteh, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Antriyandarti, Ernoiz, Anvari, Davood, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Armoon, Bahram, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Asgari, Samaneh, Atafar, Zahra, Ausloos, Marcel, Awoke, Nefsu, Quintanilla, Beatriz Paulina Ayala, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azadmehr, Abbas, Azari, Samad, Babaee, Ebrahim, Badawi, Alaa, Badiye, Ashish D, Bahrami, Mohammad Amin, Baig, Atif Amin, Bakhtiari, Ahad, Balakrishnan, Senthilkumar, Banach, Maciej, Banik, Palash Chandra, Barac, Aleksandra, Baradaran-Seyed, Zahra, Baraki, Adhanom Gebreegziabher, Basu, Sanjay, Bayati, Mohsen, Bayou, Yibeltal Tebekaw, Bedi, Neeraj, Behzadifar, Masoud, Bell, Michelle L, Berbada, Dessalegn Ajema, Berhe, Kidanemaryam, Bhattarai, Suraj, Bhutta, Zulfiqar A, and Bijani, Ali

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Human Society, Pediatric, Immunization, Clinical Research, Prevention, Vaccine Related, 3.4 Vaccines, Prevention of disease and conditions, and promotion of well-being, Good Health and Well Being, Child, Child, Preschool, Developed Countries, Geographic Mapping, Healthcare Disparities, Humans, Internationality, Measles, Rural Health, Uncertainty, Urban Health, Vaccination, Vaccination Refusal, Local Burden of Disease Vaccine Coverage Collaborators, General Science & Technology
Abstract

The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1-4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5-8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children.

Published
2021

10. 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, Christopher JL, Callender, Charlton SKH, Kulikoff, Xie Rachel, Srinivasan, Vinay, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbasi, Nooshin, Abbastabar, Hedayat, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdoli, Nasrin, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Abejie, Ayenew Negesse, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy Maria Xavier, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, 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, and Atique, Suleman

Subjects
Health Sciences, Behavioral and Social Science, Contraception/Reproduction, Basic Behavioral and Social Science, Aging, Aetiology, 2.4 Surveillance and distribution, Reproductive health and childbirth, Good Health and Well Being, Adolescent, Adult, Aged, Birth Rate, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Male, Maternal Age, Middle Aged, Mortality, Population Density, Population Growth, Young Adult, GBD 2017 Population and Fertility Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundPopulation 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.MethodsWe 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-component 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.FindingsFrom 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 0·7% 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 (TFO30; 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. TFO30 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.InterpretationPopulation 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.FundingBill & Melinda Gates Foundation.

Published
2018

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

Author

Collaborators, GBD 2017 SDG, Lozano, Rafael, Fullman, Nancy, Abate, Degu, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen Me, Abyu, Gebre Y, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshari, Afshin, Ashkan, Agarwal, Gina, Aghayan, Sargis Aghasi, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Akalu, Temesgen Yihunie, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Albujeer, Ammar, Alebel, Animut, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Almasi, Ali, Al-Maskari, Fatma, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Amini, Erfan, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, and Anwari, Palwasha

Subjects
Prevention, Pediatric, Good Health and Well Being, Peace, Justice and Strong Institutions, Female, Global Burden of Disease, Global Health, Goals, Health Status, Health Status Indicators, Humans, Male, Mortality, Risk Factors, Sex Offenses, Sustainable Development, United Nations, GBD 2017 SDG Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundEfforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment.MethodsWe measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator.FindingsThe global median health-related SDG index in 2017 was 59·4 (IQR 35·4-67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6-14·0) to a high of 84·9 (83·1-86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030.InterpretationThe GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains-curative interventions in the case of NCDs-towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions-or inaction-today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030.FundingBill & Melinda Gates Foundation.

Published
2018

15. Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17

Author

Deshpande, Aniruddha, Miller-Petrie, Molly K, Lindstedt, Paulina A, Baumann, Mathew M, Johnson, Kimberly B, Blacker, Brigette F, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimarães, Abrigo, Michael R.M., Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhikari, Tara Ballav, Afarideh, Mohsen, Agudelo-Botero, Marcela, Ahmadi, Mehdi, Ahmadi, Keivan, Ahmed, Muktar Beshir, Ahmed, Anwar E, Akalu, Temesgen Yihunie, Akanda, Ali S, Alahdab, Fares, Al-Aly, Ziyad, Alam, Samiah, Alam, Noore, Alamene, Genet Melak, Alanzi, Turki M, Albright, James, Albujeer, Ammar, Alcalde-Rabanal, Jacqueline Elizabeth, Alebel, Animut, Alemu, Zewdie Aderaw, Ali, Muhammad, Alijanzadeh, Mehran, Alipour, Vahid, Aljunid, Syed Mohamed, Almasi, Ali, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J., Amini, Saeed, Amit, Arianna Maever L., Amul, Gianna Gayle Herrera, Andrei, Catalina Liliana, Anjomshoa, Mina, Ansariadi, Ansariadi, Antonio, Carl Abelardo T., Antony, Benny, Antriyandarti, Ernoiz, Arabloo, Jalal, Aref, Hany Mohamed Amin, Aremu, Olatunde, Armoon, Bahram, Arora, Amit, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Asmelash, Daniel, Atalay, Hagos Tasew, Athari, Seyyede Masoume, Athari, Seyyed Shamsadin, Atre, Sachin R, Ausloos, Marcel, Awasthi, Shally, Awoke, Nefsu, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azari, Samad, Azman, Andrew S, Babaee, Ebrahim, Badawi, Alaa, Bagherzadeh, Mojtaba, Bakkannavar, Shankar M, Balakrishnan, Senthilkumar, Banach, Maciej, Banoub, Joseph Adel Mattar, Barac, Aleksandra, Barboza, Miguel A, Bärnighausen, Till Winfried, Basu, Sanjay, Bay, Vo Dinh, Bayati, Mohsen, Bedi, Neeraj, Beheshti, Mahya, Behzadifar, Meysam, Behzadifar, Masoud, Bejarano Ramirez, Diana Fernanda, Bell, Michelle L, Bennett, Derrick A., Benzian, Habib, Berbada, Dessalegn Ajema, Bernstein, Robert S, Bhat, Anusha Ganapati, Bhattacharyya, Krittika, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Bijani, Ali, Bikbov, Boris, Bin Sayeed, Muhammad Shahdaat, Biswas, Raaj Kishore, Bohlouli, Somayeh, Boufous, Soufiane, Brady, Oliver J, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Britton, Gabrielle B, Brown, Alexandria, Burugina Nagaraja, Sharath, Butt, Zahid A, Cámera, Luis Alberto, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Josip, Cárdenas, Rosario, Carvalho, Felix, Castañeda-Orjuela, Carlos A, Castro, Franz, Cerin, Ester, Chalise, Binaya, Chattu, Vijay Kumar, Chin, Ken Lee, Christopher, Devasahayam J, Chu, Dinh-Toi, Cormier, Natalie Maria, Costa, Vera Marisa, Cromwell, Elizabeth A, Dadi, Abel Fekadu Fekadu, Dahiru, Tukur, Dahlawi, Saad M A, Dandona, Rakhi, Dandona, Lalit, Dang, Anh Kim, Daoud, Farah, Darwesh, Aso Mohammad, Darwish, Amira Hamed, Daryani, Ahmad, Das, Jai K, Das Gupta, Rajat, Dash, Aditya Prasad, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, De la Hoz, Fernando Pio, De Neve, Jan-Walter, Demissie, Dereje Bayissa, Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Desalew, Assefa, Dharmaratne, Samath Dhamminda, Dhillon, Preeti, Dhimal, Meghnath, Dhungana, Govinda Prasad, Diaz, Daniel, Dipeolu, Isaac Oluwafemi, Do, Hoa Thi, Dolecek, Christiane, Doyle, Kerrie E, Dubljanin, Eleonora, Duraes, Andre Rodrigues, Edinur, Hisham Atan, Effiong, Andem, Eftekhari, Aziz, El Nahas, Nevine, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elhabashy, Hala Rashad, El-Jaafary, Shaimaa I., El-Khatib, Ziad, Elkout, Hajer, Elsharkawy, Aisha, Enany, Shymaa, Endalew, Daniel Adane, Eshrati, Babak, Eskandarieh, Sharareh, Etemadi, Arash, Ezekannagha, Oluchi, Faraon, Emerito Jose A., Fareed, Mohammad, Faro, Andre, Farzadfar, Farshad, Fasil, Alebachew Fasil, Fazlzadeh, Mehdi, Feigin, Valery L., Fekadu, Wubalem, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Flohr, Carsten, Foigt, Nataliya A., Folayan, Morenike Oluwatoyin, Foroutan, Masoud, Franklin, Richard Charles, Frostad, Joseph Jon, Fukumoto, Takeshi, Gad, Mohamed M, Garcia, Gregory M, Gatotoh, Augustine Mwangi, Gayesa, Reta Tsegaye, Gebremedhin, Ketema Bizuwork, Geramo, Yilma Chisha Dea, Gesesew, Hailay Abrha, Gezae, Kebede Embaye, Ghashghaee, Ahmad, Ghazi Sherbaf, Farzaneh, Gill, Tiffany K, Gill, Paramjit Singh, Ginindza, Themba G, Girmay, Alem, Gizaw, Zemichael, Goodridge, Amador, Gopalani, Sameer Vali, Goulart, Bárbara Niegia Garcia, Goulart, Alessandra C, Grada, Ayman, Green, Manfred S, Gubari, Mohammed Ibrahim Mohialdeen, Gugnani, Harish Chander, Guido, Davide, Guimarães, Rafael Alves, Guo, Yuming, Gupta, Rajeev, Gupta, Rahul, Ha, Giang Hai, Haagsma, Juanita A., Hafezi-Nejad, Nima, Haile, Dessalegn H, Haile, Michael Tamene, Hall, Brian J., Hamidi, Samer, Handiso, Demelash Woldeyohannes, Haririan, Hamidreza, Hariyani, Ninuk, Hasaballah, Ahmed I., Hasan, Md. 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2020
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16. Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17

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Wiens, Kirsten E, Lindstedt, Paulina A, Blacker, Brigette F, Johnson, Kimberly B, Baumann, Mathew M, Schaeffer, Lauren E, Abbastabar, Hedayat, Sr, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adamu, Abdu A, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Sr, Adekanmbi, Victor, Adetokunboh, Olatunji O, Sr, Adhena, Beyene Meressa, Afarideh, Mohsen, Ahmad, Sohail, Ahmadi, Keivan, Ahmed, Anwar E, Ahmed, Muktar Beshir, Ahmed, Rushdia, Akalu, Temesgen Yihunie, Alahdab, Fares, Al-Aly, Ziyad, Alam, Noore, Sr, Alam, Samiah, Alamene, Genet Melak, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Ali, Beriwan Abdulqadir, Alijanzadeh, Mehran, Alipour, Vahid, Aljunid, Syed Mohamed, Almasi, Ali, Sr, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Amini, Saeed, Sr, Amit, Arianna Maever L, Sr, Andrei, Catalina Liliana, Sr, Anjomshoa, Mina, Anoushiravani, Amir, Sr, Ansari, Fereshteh, Antonio, Carl Abelardo T, Antony, Benny, Antriyandarti, Ernoiz, Arabloo, Jalal, Aref, Hany Mohamed Amin, Sr, Aremu, Olatunde, Armoon, Bahram, Arora, Amit, Sr, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Atalay, Hagos Tasew, Athari, Seyyed Shamsadin, Sr, Athari, Seyyede Masoume, Atre, Sachin R, Ausloos, Marcel, Awoke, Nefsu, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Sr, Aynalem IV, Yared Asmare, Azari, Samad, Azzopardi, Peter S, Babaee, Ebrahim, Babalola, Tesleem Kayode, Badawi, Alaa, Sr, Bairwa, Mohan, Bakkannavar, Shankar M, Balakrishnan, Senthilkumar, Bali, Ayele Geleto, Banach, Maciej, Sr, Banoub, Joseph Adel Mattar, Sr, Barac, Aleksandra, Bärnighausen, Till Winfried, Basaleem, Huda, Basu, Sanjay, Bay, Vo Dinh, Bayati, Mohsen, Baye, Estifanos, Bedi, Neeraj, Beheshti, Mahya Mahya Beheshti, Behzadifar, Masoud, Behzadifar, Meysam, Bekele, Bayu Begashaw, Belayneh, Yaschilal Muche, Bell, Michellr L, Sr, Bennett, Derrick A, Sr, Berbada, Dessalegn Ajema, Bernstein, Robert S, Bhat, Anusha Ganapati, Sr, Bhattacharyya, Krittika, Sr, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Bijani, Ali, Bikbov, Boris, Birihane IV, Binyam Minuye, Biswas, Raaj Kishore, Bohlouli, Somayeh, Bojia I, Hunduma Amensisa Amensisa, Boufous, Soufiane, Brady, Oliver J, Bragazzi, Nicola Luigi, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Britton, Gabrielle B, Burugina Nagaraja, Sharath, Sr, Busse, Reinhard, Sr, Butt, Zahid A, Cámera, Luis LA Alberto, Sr, Campos-Nonato, Ismael R, Sr, Cano, Jorge, Car, Josip, Cárdenas, Rosario, Carvalho, Felix, Sr, Castañeda-Orjuela, Carlos A, Sr, Castro, Franz, Chanie, Wagaye Fentahun, Sr, Chatterjee, Pranab, Chattu, Vijay Kumar, Chichiabellu, Tesfaye Yitna Yitna, Jr, Chin, Ken Lee, Sr, Christopher, Devasahayam J, Chu, Dinh-Toi, Cormier, Natalie Maria, 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Gugnani, Harish Chander, Sr, Guido, Davide, Guimarães, Rafael Alves, Guo, Yuming, Sr, Gupta, Rajeev, Hafezi-Nejad, Nima, Haile, Dessalegn H, Sr, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Handiso, Demelash Woldeyohannes, Haririan, Hamidreza, Sr, Hariyani, Ninuk, Hasaballah, Ahmed I, Hasan, Md Mehedi, Hasanpoor, Edris, Hasanzadeh, Amir, Hassankhani, Hadi, Hassen, Hamid Yimam, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Behnam, Hendrie, Delia, Sr, Henry, Nathaniel J, Herteliu, Claudiu, Heydarpour, Fatemeh, Hidru I, Hagos Degefa de, Hird, Thomas R, Hoang, Chi Linh, Homaie Rad, Enayatollah, Hoogar, Praveen, Hoseini, Mohammad, Hossain, Naznin, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Househ, Mowafa, Hsairi, Mohamed, Sr, Hu, Guoqing, Hussen, Mohammedaman Mama, Ibitoye, Segun Emmanuel, Igumbor, Ehimario U, Sr, Ilesanmi, Olayinka Stephen, Ilic, Milena D, Imani-Nasab, Mohammad Hasan, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Iwu, Chinwe Juliana, Izadi, Neda, Sr, Jaca, Anelisa, Jahanmehr, Nader, Jakovljevic, Mihajlo, Jalali, Amir, Jayatilleke, Achala Upendra, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Sr, Jonas, Jost B, Jozwiak, Jacek Jerzy, Kabir, Ali, Kabir, Zubair, Sr, Kahsay, Amaha, Kalani, Hamed, Kanchan, Tanuj, Karami Matin, Behzad, Karch, André, Karim, Mohd Anisul, Karimi-Sari, Hamidreza, Karki, Surendra, Kasaeian, Amir, Kasahun, Gebremicheal Gebreslassie, Kasahun, Yawukal chane, Kasaye, Habtamu Kebebe, Kassa, Gebrehiwot G, Kassa, Getachew Mullu, Kayode, Gbenga A, Kazemi Karyani, Ali, Kebede, Mihiretu M, Keiyoro, Peter Njenga, Kelbore, Abraham Getachew, Sr, Kengne, Andre Pascal, Sr, Ketema, Daniel Bekele, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalid, Nauman, Khalilov, Rovshan, Khan, Ejaz Ahmad, Sr, Khan, Junaid, Khan I, Md Nuruzzaman, Khan, Muhammad Shahzeb, Khatab, Khaled, Sr, Khater, Amir M, Khater, Mona M, Khayamzadeh, Maryam, Khazaei, Mohammad, Khazaei, Salman, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Ali, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Kissoon, Niranjan, Sr, KMShivakumar, Shivakumar KM Marulasiddaiah M, Sr, Kochhar, Sonali, Kolola, Tufa, Sr, Komaki, Hamidreza, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kraemer, Moritz U G, Krishan, Kewal, Kugbey, Nuworza, Kumar, G Anil, Kumar, Manasi, Sr, Kumar, Pushpendra, Kumar, Vivek, Kusuma, Dian, La Vecchia, Carlo, Lacey, Ben, Lad, Sheetal D, Lal, Dharmesh Kumar, Lam, Felix, Lami, Faris Hasan, Sr, Lamichhane, Prabhat, Lansingh, Van Charles, Lasrado, Savita, Laxmaiah, Avula, Lee, Paul H, Sr, LeGrand, Kate E, Leili, Mostafa, Lenjebo, Tsegaye Lolaso, Leshargie, Cheru Tesema, Sr, Levine, Aubrey J, Li, Shanshan, Sr, Linn, Shai, Liu, Shiwei, Liu, Simin, Lodha, Rakesh, Longbottom, Joshua, Lopez, Jaifred Christian F, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Mahadeshwara Prasad, D R, Mahasha, Phetole Walter, Sr, Mahotra, Narayan B, Majeed, Azeem, Malekzadeh, Reza, Sr, Malta, Deborah Carvalho, Mamun, Abdullah A, Sr, Manafi, Navid, Sr, Manda, Ana Laura, Manohar, Narendar Dawani Dawanu, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Maravilla, Joemer C, Martinez, Gabriel, Sr, Martini, Santi, Martins-Melo, Francisco Rogerlândio, Masaka, Anthony, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Mayala, Benjamin K, Mazidi, Mohsen, McAlinden, Colm, Meharie, Birhanu Geta, Mehndiratta, Man Mohan, Sr, Mehta, Kala M, Mekonnen, Tefera C Chane, Meles, Gebrekiros Gebremichael, Memiah, Peter T N, Memish, Ziad A, Sr, Mendoza, Walter, Menezes, Ritesh G, Mereta, Seid Tiku, Meretoja, Tuomo J, Sr, Mestrovic, Tomislav, Miazgowski, Bartosz, Mihretie, Kebadnew Mulatu, Sr, Miller, Ted R, Mini, GK, Mirrakhimov, Erkin M, Moazen, Babak, Mohajer, Bahram, Mohamadi-Bolbanabad, Amjad, Mohammad, Dara K, Mohammad, Karzan Abdulmuhsin, Mohammad, Yousef, Mohammad Gholi Mezerji, Naser, Mohammadibakhsh, Roghayeh, Mohammadifard, Noushin, Mohammed, Jemal Abdu, Sr, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moodley, Yoshan, Sr, Moore, Catrin E, Sr, Moradi, Ghobad, Moradi, Masoud, Moradi-Joo, Mohammad, Moradi-Lakeh, Maziar, Moraga, Paula, Morales, Linda, Moreno Velásquez, Ilais, Mosapour, Abbas, Mouodi, Simin, Mousavi, Seyyed Meysam, Mozaffor I, Miliva, Muchie, Kindie Fentahun, Sr, Mulaw, Getahun Fentaw, Sr, Munro, Sandra B, Muriithi, Moses K, Murray, Christopher J L, Murthy, GVS, Musa, Kamarul Imran, Mustafa, Ghulam, Sr, Muthupandian, Saravanan, Sr, Nabhan, Ashraf F, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naidoo, Kovin S, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Sr, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Sr, Nazari, Javad, Ndwandwe, Duduzile Edith, Sr, Negoi, Ionut, Sr, Netsere, Henok Biresaw Netsere, Sr, Ngunjiri, Josephine W, Sr, Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nguyen, Trang Huyen, Nigatu, Dabere, Nigatu, Solomon Gedlu, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A, Nojomi, Marzieh, Nong, Vuong Minh, Norheim, Ole F, Sr, Noubiap, Jean Jacques, Nouraei Motlagh, Soraya, Oancea, Bogdan, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Olagunju, Andrew T, Olagunju, Tinuke O, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Onwujekwe, Obinna E, Sr, Oren, Eyal, Ortega-Altamirano, Doris V V, Sr, Osarenotor, Osayomwanbo, Osei, Frank B, Sr, Owolabi, Mayowa O, P A, Mahesh, Sr, Padubidri, Jagadish Rao, Pakhale, Smita, Patel, Sangram Kishor, Paternina-Caicedo, Angel J, Sr, Pathak, Ashish, Sr, Patton, George C, Paudel, Deepak, Sr, Paulos, Kebreab, Sr, Pepito, Veincent Christian Filipino, Pereira, Alexandre, Perico, Norberto, Pervaiz, Aslam, Pescarini, Julia Moreira, Piroozi, Bakhtiar, Pirsaheb, Meghdad, Postma, Maarten J, Pourjafar, Hadi, Pourmalek, Farshad, Sr, Pourshams, Akram, Poustchi, Hossein, Prada, Sergio I, Sr, Prasad, Narayan, Preotescu, Liliana, Quintana, Hedley, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, SHAFIUR, Rajati, Fatemeh, Sr, Rana, Saleem Muhammad, Sr, Ranabhat, Chhabi Lal, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Sr, Rawal, Lal, Rawasia, Wasiq Faraz, Renjith, Vishnu, Renzaho, Andre M N, Sr, Resnikoff, Serge, Sr, Reta, Melese Abate, Rezaei, Negar, Rezai, Mohammad sadegh, Riahi, Seyed Mohammad, Ribeiro, Ana Isabel, Rickard, Jennifer, Sr, Rios-Blancas, Maria, Roever, Leonardo, Ronfani, Luca, Roro, Elias Merdassa, Sr, Ross, Jennifer M, Rubagotti, Enrico, Rubino, Salvatore, Saad, Anas M, Sabde, Yogesh Damodar, Sabour, Siamak, Sadeghi, Ehsan, Sr, Safari, Yahya, Safari-Faramani, Roya, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, S Mohammad, Salahshoor, Mohammad Reza, Salam, Nasir, Sr, Salamati, Payman, Salem, Hosni, Salem I, Marwa R Rashad, Salimi, Yahya, Salimzadeh, Hamideh, Samy, Abdallah M, Sanabria, Juan, Sr, Santric-Milicevic, Milena M, Sao Jose, Bruno Piassi, Saraswathy, Sivan Yegnanarayana Iyer, Sarkar, Kaushik, Sr, Sarker, Abdur Razzaque, Sarrafzadegan I, Nizal, Sartorius, Benn, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sawhney, Monika, Saxena, Sonia, Sr, Schwebel, David C, Sr, Senbeta IV, Anbissa Muleta, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serván-Mori, Edson, Sr, Shabaninejad, Hosein, Shafieesabet, Azadeh, Sr, Shaikh, Masood Ali, Shalash, Ali S, Sr, Shallo, Seifadin Ahmed, Shams-Beyranvand, Mehran, Shamsi, MohammadBagher, Shamsizadeh, Morteza, Shannawaz, Mohammed, Sharafi, Kiomars, Sharifi, Hamid, Shehata, Hatem Samir, Sr, Sheikh, Aziz, Shetty, B Suresh Kumar, Sr, Shibuya, Kenji, Sr, Shiferaw, Wondimeneh Shibabaw, Sr, Shifti, Desalegn Markos, Shigematsu, Mika, Shin, Jae Il, Shiri, Rahman, Sr, Shirkoohi, Reza, Siabani, Soraya, Siddiqi, Tariq Jamal, Silva, Diego Augusto Santos, Singh, Ambrish, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sisay, Malede Mequanent, Skiadaresi, Eirini, Sobhiyeh, Mohammad Reza, Sr, Sokhan, Anton, Soltani, Shahin, Somayaji, Ranjani, Soofi, Moslem, Sorrie, Muluken Bekele, Sr, Soyiri, Ireneous N, Sreeramareddy, Chandrashekhar T, Sudaryanto, Agus, Sufiyan, Mu'awiyyah Babale, Sr, Suleria, Hafiz Ansar Rasul, Sultana, Marufa, Sunguya, Bruno Fokas, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadesse, Degena Bahrey, Jr, Tarigan, Ingan Ukur, Tasew, Aberash Abay, Tefera, Yonatal Mesfin, Sr, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Tesfay I, Berhe Etsay, Tesfay, Fisaha Haile Haile, Tessema, Belay, Tessema, Zemenu Tadesse, Thankappan, Kavumpurathu Raman, Thomas, Nihal, Toma, Alemayehu Toma, Sr, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto Roberto, Traini, Eugenio, Tran, Bach Xuan, Tran, Khanh Bao, Ullah, Irfan, Unnikrishnan, Bhaskaran, Usman, Muhammad Shariq, Sr, Uzochukwu, Benjamin S Chudi, Sr, Valdez, Pascual R, Varughese, Santosh, Sr, Violante, Francesco S, Sr, Vollmer, Sebastian, Sr, W/hawariat, Feleke Gebremeskel, Sr, Waheed, Yasir, Wallin, Mitchell Taylor, Wang, Yafeng, Wang, Yuan-Pang, Weaver, Marcia, Weji, Bedilu Girma, Weldesamuel, Girmay Teklay, Welgan, Catherine A, Werdecker, Andrea, Westerman, Ronny, Sr, Wiangkham, Taweewat, Wiysonge, Charles Shey, Sr, Wolde, Haileab Fekadu, Sr, Wondafrash, Dawit Zewdu, Wonde, Tewodros Eshete, Sr, Worku, Getasew Taddesse, Sr, Wu, Ai-Min, Xu, Gelin, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Sr, Yatsuya, Hiroshi, Yeshaneh, Alex, Yilgwan, Christopher Sabo, Yilma, Mekdes Tigistu, Yip, Paul, Sr, Yisma, Engida, Yonemoto, Naohiro, Sr, Yoon, Seok-Jun, Younis, Mustafa Z, Yousefifard, Mahmoud, Yousof, Hebat-Allah Salah A, Yu, Chuanhua, Yusefzadeh, Hasan, Zadey, Siddhesh, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zandian, Hamed, Zepro, Nejimu Biza, Zerfu, Taddese Alemu, Zhang, Yunquan, Zhao, Xiu-Ju George, Ziapour, Arash, Zodpey, Sanjay, Sr, Zuniga, Yves Miel H, Hay, Simon I, and Reiner, Robert C, Jr

Published
2020
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17. Hybrid diamond/ carbon fiber microelectrodes enable multimodal electrical/chemical neural interfacing

Author

Hejazi, Maryam A., Tong, Wei, Stacey, Alastair, Soto-Breceda, Artemio, Ibbotson, Michael R., Yunzab, Molis, Maturana, Matias I., Almasi, Ali, Jung, Young Jun, Sun, Shi, Meffin, Hamish, Fang, Jian, Stamp, Melanie E.M., Ganesan, Kumaravelu, Fox, Kate, Rifai, Aaqil, Nadarajah, Athavan, Falahatdoost, Samira, Prawer, Steven, Apollo, Nicholas V., and Garrett, David J.

Published
2020
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24. Long-term survival of a patient with locally advanced hilar cholangiocarcinoma (Klatskin tumor): A case report and review on high level evidence

Author

Vahedian Jalal, Reza Babaei Mohammad, Zare Mehrjardi Ali, Almasi Ali, Amir Yasin Ahmadi Seyyed, and Hadizadeh Omid

Subjects
Cholangiocarcinoma, Survival, Stents, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Cholangiocarcinoma, malignant tumor of epithelial cells of bile ducts has poor overall survival and prognosis. We report a case of non-resectable cholangiocarcinoma with a 57-month survival after incomplete R2 surgical margin resection of the tumor. A 52-year old man with generalized itching, jaundice, brownish urine, mild abdominal pain and weight loss of 8 kg in last two months presented. Imaging and surgical workups showed hilar cholangiocarcinoma (Klatskin tumor). Along with incomplete R2 margin resection we performed stent embedding and post-operative adjuvant chemotherapy. Based on current literature data there is no superiority of adjuvant chemotherapy after complete R0 resection compared to incomplete R2 resection. However, it seems that partial resection along with stent embedding and applied adjuvant chemotherapy in cases of locally advanced non-resectable cholangiocarcinoma may increase survival rate.

Published
2019

28. Characterization of extracellular spike waveforms recorded in wallaby primary visual cortex.

Author

Young Jun Jung, Sun, Shi H., Almasi, Ali, Yunzab, Molis, Meffin, Hamish, and Ibbotson, Michael R.

Subjects
VISUAL cortex, WALLABIES, LATERAL geniculate body
Abstract

Extracellular recordings were made from 642 units in the primary visual cortex (V1) of a highly visual marsupial, the Tammar wallaby. The receptive field (RF) characteristics of the cells were objectively estimated using the non-linear input model (NIM), and these were correlated with spike shapes. We found that wallaby cortical units had 68% regular spiking (RS), 12% fast spiking (FS), 4% triphasic spiking (TS), 5% compound spiking (CS) and 11% positive spiking (PS). RS waveforms are most often associated with recordings from pyramidal or spiny stellate cell bodies, suggesting that recordings from these cell types dominate in the wallaby cortex. In wallaby, 70-80% of FS and RS cells had orientation selective RFs and had evenly distributed linear and nonlinear RFs. We found that 47% of wallaby PS units were non-orientation selective and they were dominated by linear RFs. Previous studies suggest that the PS units represent recordings from the axon terminals of non-orientation selective cells originating in the lateral geniculate nucleus (LGN). If this is also true in wallaby, as strongly suggested by their low response latencies and bursty spiking properties, the results suggest that significantly more neurons in wallaby LGN are already orientation selective. In wallaby, less than 10% of recorded spikes had triphasic (TS) or sluggish compound spiking (CS) waveforms. These units had a mixture of orientation selective and non-oriented properties, and their cellular origins remain difficult to classify. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Global Psychotrauma Screen--Persian Version

Author

Salimi, Yahya, primary, Hoeboer, C., additional, Motevalli Haghi, Seyed Ali, additional, Williamson, R. E., additional, Rahimi, Mohammad Dawood, additional, Rajabi‑Gilan, Nader, additional, Almasi, Ali, additional, and Olff, M., additional

Published
2023
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36. The role of risk perception, risk communication, and demographic factors in COVID-19 preventive behaviors: an online survey in Iran

Author

Rezaei, Mansour, primary, Gilan, Nader Rajabi, additional, Almasi, Ali, additional, Khezeli, Mehdi, additional, Nazar, Fatemeh Jamshidi, additional, Shushtari, Zahra Jorjoran, additional, Salimi, Yahya, additional, Najafi, Farid, additional, Sarabi, Neda, additional, Saeidi, Shahram, additional, and Saeidi, Saeid, additional

Published
2022
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38. Investigating Global Spatial Patterns of Diarrhea-Related Mortality in Children Under Five

Author

Almasi, Ali, primary, Zangeneh, Alireza, additional, Ziapour, Arash, additional, Saeidi, Shahram, additional, Teimouri, Raziyeh, additional, Ahmadi, Tohid, additional, Khezeli, Mehdi, additional, Moradi, Ghobad, additional, Soofi, Moslem, additional, Salimi, Yahya, additional, Rajabi-Gilan, Nader, additional, Ramin Ghasemi, Seyed, additional, Heydarpour, Fatemeh, additional, Moghadam, Shahrzad, additional, and Yigitcanlar, Tan, additional

Published
2022
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39. Investigating Global Spatial Patterns of Diarrhea-Related Mortality in Children Under Five

Author

Almasi, Ali, Zangeneh, Alireza, Ziapour, Aras, Saeidi, Shahram, Teimouri, Raziyeh, Ahmadi, Tohid, Khezeli, Mehdi, Moradi, Ghobad, Soofi, Moslem, Salimi, Yahya, Rajabi-Gilan, Nader, Ghasemi, Seyed, Heydarpour, Fatemeh, Moghadam, Shahrzad, Yigitcanlar, Tan, Almasi, Ali, Zangeneh, Alireza, Ziapour, Aras, Saeidi, Shahram, Teimouri, Raziyeh, Ahmadi, Tohid, Khezeli, Mehdi, Moradi, Ghobad, Soofi, Moslem, Salimi, Yahya, Rajabi-Gilan, Nader, Ghasemi, Seyed, Heydarpour, Fatemeh, Moghadam, Shahrzad, and Yigitcanlar, Tan

Abstract

Objective: Investigating the trends of child diarrhea-related mortality (DRM) is crucial to tracking and monitoring the progress of its prevention and control efforts worldwide. This study explores the spatial patterns of diarrhea-related mortality in children under five for monitoring and designing effective intervention programs. Methods: The data used in this study was obtained from the World Health Organization (WHO) public dataset that contained data from 195 countries from the year 2000 to 2017. This dataset contained 13,541,989 DRM cases. The worldwide spatial pattern of DRM was analyzed at the country level utilizing geographic information system (GIS) software. Moran's I, Getis-Ord Gi, Mean center, and Standard Deviational Ellipse (SDE) techniques were used to conduct the spatial analysis. Results: The spatial pattern of DRM was clustered all across the world during the study period from 2000 to 2017. The results revealed that Asian and African countries had the highest incidence of DRM worldwide. The findings from the spatial modeling also revealed that the focal point of death from diarrhea was mainly in Asian countries until 2010, and this focus shifted to Africa in 2011. Conclusion: DRM is common among children who live in Asia and Africa. These concentrations may also be due to differences in knowledge, attitude, and practices regarding diarrhea. Through GIS analysis, the study was able to map the distribution of DRM in temporal and spatial dimensions and identify the hotspots of DRM across the globe.

Published
2022

47. Bacterial Proliferation Reduces Sulphur Toxicity in Stabilization Ponds: Safer Water Resources by Photosynthesis.

Author

Almasi, Ali, Mohammadi, Mitra, Shokri, Rouhollah, Najafi, Zahra, and Shokoohizadeh, Mohammad Javad

Subjects
*SEWAGE lagoons, *PONDS, *WATER supply, *PHOTOSYNTHETIC bacteria, *SULFUR, *HYDROGEN sulfide
Abstract

Background: Studies suggest that sulfur may react with plants or monocellular organisms, such as fungi, to produce toxic agents. It has been theorized that sulfur enters cells and affects their respiration. This study reports on a phototroph development that leads to the diminution and/or production of sulfur and release of hydrogen sulfide from public ponds. Methods: This study was conducted in anoxic stabilization ponds at a dimension of 1×0.25×1 (m), with a hydraulic retention time of 6 days. The ponds' water was tested during the dark and light cycles. The experiments were carried out by factorial design and measured three variables: volumetric organic loading, sulphate concentrations and temperature. Results: Cyanobacteria and Rhodobacter species were the most abundant phototroph cellular organisms. The mean value of total sulfur and un-ionized hydrogen sulfide concentration were 74 mg/L and 21 mg/L, respectively, at the volumetric organic loading of 100 g BOD5/m3 per day. The efficiencies of biochemical and chemical oxygen removal were 71.9% and 59.1%, respectively. The mean proliferation rate of photosynthetic sulfur bacteria was 3.4×106 cells/ml. Conclusion: photosynthetic sulfur bacteria significantly reduced the sulfur concentration generated in the ponds. The illumination of bright light enhanced the sulfur reduction by the photosynthetic sulfur bacteria in the wastewater of the anoxic stabilization ponds. [ABSTRACT FROM AUTHOR]

Published
2022
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