3 research outputs found
Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017
- Author
- Abbas Mosapour (9154247)
- Abdallah M Samy (8383428)
- Abdullah A Mamun (8383290)
- Abdur Razzaque Sarker (7542854)
- Aberash Abay Tassew (6388094)
- Achala Upendra Jayatilleke (8673930)
- Addisu Melese (4766802)
- Adnan Kisa (6419198)
- Adrian Pana (5814992)
- Afsaneh Arzani (9153932)
- Agus Sudaryanto (1979845)
- Ahamarshan Jayaraman Nagarajan (9154253)
- Ahmad Daryani (3922976)
- Ahmad Ghashghaee (9154076)
- Ahmed Abdelalim (8673294)
- Ahmed I Hasaballah (9154109)
- Ahmed Omar Bali (9154271)
- Ai Koyanagi (430702)
- Ai-Min Wu (561245)
- Aisha Elsharkawy (9154031)
- Ajay Patle (8674287)
- Aklilu Endalamaw (5437283)
- Akram Pourshams (63963)
- Alaa Badawi (521535)
- Alebachew Fasil Ashagre (9153935)
- Aleksandra Barac (8673444)
- Alemayehu Toma Mena (9154211)
- Alex Yeshaneh (8383767)
- Alexandre Pereira (838395)
- Ali Akbar Fazaeli (3607388)
- Ali Almasi (9153917)
- Ali Bijani (8383632)
- Ali H Mokdad (8383332)
- Ali Kabir (9154145)
- Ali Kazemi Karyani (8383668)
- Ali Rostami (1919863)
- Ali S Akanda (9153896)
- Ali S Shalash (9154358)
- Ali Talha Khalil (4845574)
- Ali Yadollahpour (8674665)
- Aliasghar A Kiadaliri (4606114)
- Alireza Esteghamati (7321373)
- Alireza Khatony (5480555)
- Alireza Rafiei (3572492)
- Alyssa N Sbarra (9154352)
- Amaha Kahsay (8383251)
- Amir Almasi-Hashiani (3713032)
- Amir Hasanzadeh (9154112)
- Amir Jalali (6521300)
- Amir Kasaeian (3161763)
- Amir Khater (9154157)
- Amir Radfar (8383398)
- Amira A Shaheen (8674446)
- Amira Hamed Darwish (7455509)
- Amjad Mohamadi-Bolbanabad (9154232)
- Ammas Siraj Mohammed (9115649)
- Ana Isabel Ribeiro (9154319)
- Ana-Laura Manda (8674065)
- Anas M Saad (9154328)
- Anbissa Muleta Senbeta (8383437)
- Andem Effiong (4855597)
- Andre Faro (8383188)
- Andre Karch (8673945)
- Andre MN Renzaho (8383410)
- Andre R Duraes (8383173)
- Andrea Farioli (519624)
- Andrew T Olagunju (6568496)
- Andrey Nikolaevich Briko (8383143)
- Anelisa Jaca (6187739)
- Aniruddha Deshpande (4377094)
- Anthony Masaka (8383299)
- Anton Sokhan (7224590)
- Anusha Ganapati Bhat (9153959)
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- Surendra Karki (1804720)
- Susanna J Dunachie (9154013)
- Syed Ather Hussain (9154127)
- Syed Mohamed Aljunid (4814136)
- Tahereh Pashaei (2587489)
- Takeshi Fukumoto (8383197)
- Tamer H Farag (9154037)
- Tamirat Tesfaye Dasa (5855753)
- Tanuj Kanchan (451145)
- Taweewat Wiangkham (773494)
- Taye Abuhay Zewale (9154433)
- Temesgen Yihunie Akalu (5434853)
- Tewodros Eshete Wonde (9154415)
- Theo Vos (117403)
- Till Winfried Barnighausen (9153953)
- Tina Beyranvand (6192662)
- Tissa Wijeratne (8334270)
- Tomohide Yamada (138371)
- Trang Huyen Nguyen (9154265)
- Tsegaye Lolaso Lenjebo (9154184)
- Tuomo J Meretoja (8383689)
- Turki M Alanzi (9153902)
- Vafa Rahimi-Movaghar (3663781)
- Vahid Alipour (8383095)
- Van C Lansingh (8674023)
- Veincent Christian Filipino Pepito (9154286)
- Vera M Costa (9153986)
- Victor Adekanmbi (4752543)
- Vijay Kumar Chattu (8673555)
- Vinay Nangia (346734)
- Vishnu Renjith (725448)
- Vivekanand Jha (430559)
- Winfried Marz (8674083)
- Wondimeneh Shibabaw Shiferaw (8716917)
- Xiu-Ju Zhao (2047783)
- Yafeng Wang (330852)
- Yahya Salimi (5184452)
- Yared Asmare Aynalem (8716926)
- Yasir Waheed (8383494)
- Yibeltal Alemu Bekele (8436645)
- Yilma Chisha Dea Geramo (8673777)
- Yoshan Moodley (28753)
- Yousef Mohammad (9154235)
- Yousef Saleh Khader (8383254)
- Yousef Veisani (8383485)
- Yuan-Pang Wang (184231)
- Yuming Guo (162863)
- Yun Jin Kim (2133199)
- Yunquan Zhang (4815927)
- Zahid A Butt (8383149)
- Zemenu Tadesse Tessema (8383464)
- Zewdie Aderaw Alemu (9153911)
- Ziad A Memish (8674110)
- Zubair Kabir (394455)
- Publication venue
- Publication date
- 01/01/2020
- Field of study
Background: Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. Methods: We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. Findings: The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1–65·8), 17·4% (7·7–28·4), and 59·5% (34·2–86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. Interpretation: By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health. Funding: Bill & Melinda Gates Foundation
Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017
- Author
- Abbas Mosapour (9154247)
- Abdallah M Samy (8383428)
- Abdullah A Mamun (8383290)
- Abdur Razzaque Sarker (7542854)
- Aberash Abay Tassew (6388094)
- Achala Upendra Jayatilleke (8673930)
- Addisu Melese (4766802)
- Adnan Kisa (6419198)
- Adrian Pana (5814992)
- Afsaneh Arzani (9153932)
- Agus Sudaryanto (1979845)
- Ahamarshan Jayaraman Nagarajan (9154253)
- Ahmad Daryani (3922976)
- Ahmad Ghashghaee (9154076)
- Ahmed Abdelalim (8673294)
- Ahmed I Hasaballah (9154109)
- Ahmed Omar Bali (9154271)
- Ai Koyanagi (430702)
- Ai-Min Wu (561245)
- Aisha Elsharkawy (9154031)
- Ajay Patle (8674287)
- Aklilu Endalamaw (5437283)
- Akram Pourshams (63963)
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- Paulina A Lindstedt (9153860)
- Peng Jia (194819)
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- Yuan-Pang Wang (184231)
- Yuming Guo (162863)
- Yun Jin Kim (2133199)
- Yunquan Zhang (4815927)
- Zahid A Butt (8383149)
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- Zewdie Aderaw Alemu (9153911)
- Ziad A Memish (8674110)
- Zubair Kabir (394455)
- Publication venue
- Publication date
- 06/05/2020
- Field of study
Background: Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. Methods: We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. Findings: The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1–65·8), 17·4% (7·7–28·4), and 59·5% (34·2–86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. Interpretation: By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health. Funding: Bill & Melinda Gates Foundation
Mapping routine measles vaccination in low- and middle-income countries
- Author
- Aaron E Osgood-Zimmerman (8383062)
- Abbas Azadmehr (12151653)
- Abbas Mosapour (9154247)
- Abbas Sheikhtaheri (9715088)
- Abdallah M Samy (8383428)
- Abdelrahman I Abushouk (9714446)
- Abdollah Mohammadian-Hafshejani (9714923)
- Abiy H Sinke (12150585)
- Abiyu Mekonnen Gebrehiwot (9715364)
- Abolfazl Mohammadbeigi (9715730)
- Adel Spotin (7384796)
- Adhanom Gebreegziabher Baraki (8595675)
- Adnan Kisa (6419198)
- Adrian Pana (5814992)
- Afsaneh Arzani (9153932)
- Agus Sudaryanto (1979845)
- Ahad Bakhtiari (6192659)
- Ahamarshan Jayaraman Nagarajan (9154253)
- Ahmad Ghashghaee (9154076)
- Ahmed Abdelalim (8673294)
- Ahmed I Hasaballah (9154109)
- Ahmed Omar Bali (9154271)
- Ai Koyanagi (430702)
- Ai-Min Wu (561245)
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- Walter Mendoza (8383311)
- Wondimeneh Shibabaw Shiferaw (8716917)
- Xiaofeng Liang (652367)
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- Yafeng Wang (330852)
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- Yousef Mohammad (9154235)
- Yousef Saleh Khader (8383254)
- Yousef Veisani (8383485)
- Yuan-Pang Wang (184231)
- Yuming Guo (162863)
- Yun Jin Kim (2133199)
- Yunquan Zhang (4815927)
- Zabihollah Yousefi (9715199)
- Zahid A Butt (8383149)
- Zahiruddin Quazi Syed (9715019)
- Zahra Atafar (9714503)
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- Zemenu Tadesse Tessema (8383464)
- Zhi-Jiang Zhang (539386)
- Zubair Kabir (394455)
- Zul Kamal (6426083)
- Zulfiqar A Bhutta (8051936)
- Publication venue
- Publication date
- 21/01/2021
- Field of study
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