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5. Wastewater treatment in tropical, vertical up-flow constructed wetlands with selected macrophytes species: A preliminary analysis

Author

Muhammedziyad Geleto, MihretDananto Ulsido, and YohannesSeifu Berego

Subjects
Science (General), Q1-390, Social sciences (General), H1-99
Abstract

The aim of this study was to investigate the growth characteristics of different local macrophyte species (n = 7) capable of growing in untreated coffee wastewater, select the dominant species for use in mesocosms, to study the efficacy of three major species in three replications (3 x 3) in improving the physicochemical characteristics of coffee wet mill wastewater, and to assess the contribution of macrophyte biomass to nutrient sequestration in the constructed wetlands. The current study showed that Polygonumhydropiperoides(PH), Chrysopogonzizanioides (CZ), and Cyperusexaltatus(CE) can sustain water logging and partially saturated conditions. The conducted wetland experiments pointed out the feasibility of VUFCW technology in ameliorating the impurities in wet coffee processing mills wastewater. Each of the three plant species has a peculiar ability to trap potential impurities. Cyperusexaltatus, for instance, is significantly efficient (α

Published
2025
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6. Hemiparesis Caused by Cerebral Venous Sinus Thrombosis during the Postpartum Period: A Case Report; Negelle Arsi General Hospital and Medical College, Ethiopia

Author

Bogale Z, Geleto G, Yosef D, and Abdo AA

Subjects
ethiopia, negelle arsi, headache, postpartum period, cerebral venous thrombosis, Medicine (General), R5-920
Abstract

Zerihun Bogale,1 Gemechu Geleto,2 Dawit Yosef,1 Abdella Amano Abdo3 1Internal Medicine Department, Negelle Arsi General Hospital and Medical College, Negelle Arsi, Oromia, Ethiopia; 2Radiology Department, Negelle Arsi General Hospital and Medical College, Negelle Arsi, Oromia, Ethiopia; 3Research and Community Service Office, Negelle Arsi General Hospital and Medical College, Negelle Arsi, Oromia, EthiopiaCorrespondence: Zerihun Bogale, Tel +251-913-83-31-57, Email zerihunmed@gmail.comBackground: Although rare, cerebral venous sinus thrombosis (CVT) can result in significant neurological complications, particularly after childbirth. Early diagnosis poses a challenge due to symptom overlap with other conditions. Limited publications and underdiagnosis of CVT are prevalent in developing nations, notably in Ethiopia.Case: A 29-year-old mother, having given birth four times, presented to the emergency department in her second month postpartum with complaints of persistent headaches and blurred vision over three weeks. Additionally, she reported sudden weakness on her right side for one day. Despite previous treatments for migraine headaches, she was diagnosed with CVT after magnetic resonance imaging/venography revealed blockage in the right anastomotic vein and the posterior segment of the superior sagittal sinus. Treatment commenced with the anticoagulant enoxaparin. During hospitalization, she experienced one episode of generalized seizures, leading to transfer to the intensive care unit where phenytoin was added. Subsequent diagnosis of papilledema occurred. After a 16-day hospital stay, she was discharged with warfarin, phenytoin, and acetazolamide. Oral anticoagulation and other medications ceased after six months of treatment, considering the postpartum period as a temporary risk factor for CVT. The patient currently maintains good health and has resumed normal activities.Conclusion: Maintaining a high index of suspicion for CVT during the postpartum period and promptly conducting imaging scans are crucial for early diagnosis. This approach can halt neurological decline and facilitate immediate recovery through early therapeutic interventions.Keywords: Ethiopia, Negelle Arsi, headache, postpartum period, cerebral venous thrombosis

Published
2024

8. The Impact of Tumor Stage and Histopathology on Survival Outcomes in Esophageal Cancer Patients over the Past Decade

Author

Ayrton Bangolo, Vignesh Krishnan Nagesh, Grace Simonson, Abhishek Thapa, Arun Ram, Nithin Jayan Santhakumari, Rayan Chamroukh, Vivek Joseph Varughese, Shallot Nareeba, Aiswarya Menon, Kousik Sridharan, Angel Ann Chacko, Charlene Mansour, Daniel Elias, Gurinder R. Singh, Aaron Rambaransingh, Luis Roman Mendez, Charlotte Levy, Izage Kianifar Aguilar, Ibrahim Hamad, Urveesh Sharma, Jose Salcedo, Hadrian Hoang-Vu Tran, Abdullah Haq, Tahir B. Geleto, Kaysha Jean, Luis Periel, Sara Bravin, and Simcha Weissman

Subjects
esophageal cancer, mortality, SEER, interaction analysis, adenocarcinoma, squamous cell carcinoma, Medicine
Abstract

Background: Esophageal cancer (EC) is the sixth leading cause of cancer-related mortality worldwide, continuing to be a significant public health concern. The purpose of this study is to assess the impact of staging and histopathology of EC on associated mortality. The study also aims to further investigate clinical characteristics, prognostic factors, and survival outcomes in patients diagnosed with EC between 2010 and 2017. Furthermore, we analyzed the interaction between tumor histology and staging and the risk of mortality. Methods: A total of 24,011 patients diagnosed with EC between 2010 and 2017 in the United States were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database. Demographic parameters, tumor stage, and histologic subtypes were analyzed and associated overall mortality (OM) and cancer-specific mortality (CSM) were measured across all subgroups. Covariates reaching the level of statistical significance, demonstrable by a p-value equal to or less than 0.01, were incorporated into a multivariate Cox proportional hazards model. A hazard ratio greater than 1 was indicative of an increased risk of mortality in the presence of the variable under discussion. Additionally, the study explores the interaction between histology and tumor stage on outcomes. Results: The majority of patients were male (80.13%) and non-Hispanic white (77.87%), with a predominant age at diagnosis of between 60 and 79 years (59.86%). Adenocarcinoma was the most common tumor subtype (68.17%), and most patients were diagnosed at a distant stage (41.29%). Multivariate analysis revealed higher mortality risks for males, older patients, unmarried individuals, and those with advanced-stage tumors. Higher income, receiving radiation or chemotherapy, and undergoing surgery were associated with lower mortality. Tumor subtype significantly influenced mortality, with squamous cell carcinoma and neuroendocrine tumors showing higher hazard ratios compared to adenocarcinoma. Adenocarcinoma is linked to a poorer prognosis at advanced stages, whereas the opposite trend is observed for SCC. Conclusions: The study identifies significant demographic and clinicopathologic factors influencing mortality in esophageal cancer patients, highlighting the importance of early diagnosis and treatment intervention. Future research should focus on tailored treatment strategies to improve survival outcomes in high-risk groups and to understand the interaction between tumor histology and tumor stage.

Published
2024
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9. Waste Water Management in Wet Coffee Processing Mills and their Impact on the Water quality status of Gidabo River and its Tributaries, Southern Ethiopia

Author

Mihret Dananto Ulsido, Muhammed-Ziyad Geleto, and Yohannes Seifu Berego

Subjects
Environmental sciences, GE1-350, Public aspects of medicine, RA1-1270
Abstract

The Gidabo River and its tributaries are the main sources of water for more than 1,584,646 inhabitants. It is an important source of water for the surrounding rural communities for various uses such as domestic, irrigation, livestock watering, fishing, and recreation. The river is the main tributary of Lake Abaya. The present study was designed to investigate the water quality status of the Gidabo River and its tributaries for domestic and aquatic life. To assess the water quality status, water samples were collected in monthly intervals for a period of 3 months from September to November (coffee processing time), 2022. Arc GIS 9.3, 3 DEM, and spreadsheet were used to analyze the data collected from SRTM (Shuttle Radar Thematic Mapper, 90 m) and field observation. Of all the water quality parameters analyzed; turbidity, BOD 5 , DO, COD, pH, Ni, Fe, NO 3 − , and PO 4 3− were higher than the recommended limits of national and international standards for aquatic life. Based on the Weighted Arithmetic Mean (WAM), Water Quality Index (WQI) calculations of the River, WQI value of the river ranges between 34.83 and 54.31 in different reaches of the watershed which is classified under bad category. The wet coffee processing industry which is the main sources of contamination in the watershed uses 63 L of processing water to produce 1 kg of green coffee beans. Traditional lagoons, with an average hydraulic retention time (HRT) of 1.99 days, are the most common methods of treating wastewater. The river is at higher risk from harmful anthropogenic activities in the watershed and requires urgent monitoring and mitigation to prevent further degradation.

Published
2024
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10. Utilization of emergency medical service and its associated factors among patients visited public hospitals at Hawassa City, Sidama Region, Ethiopia, 2023

Author

Zelalem Mekonen, Wegene Jemebere, Aklile Tsega Chekol, Fikru Tadesse, Yacob Abraham Borie, Ezedin Mola, Mastewal Aschale Wale, Yunuka Marufa Tunushe, Yared Reta, Amdehiwot Aynalem, Beyene Feleke, Gelane Geleto Gobena, Bereket Beyene, and Tomas Yeheyis

Subjects
Emergency medical service, Pre-hospital care, Associated factors, Utilization, Hawassa, Ethiopia, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Background: The burden of emergency medical conditions is borne mostly by poorer nations, with a 6 % increase in deaths of adults and children due to emergency conditions between 1990 and 2015. Emergency medical service is crucial to improve outcomes of those injuries and other time-sensitive illnesses. However, access to emergency medical services in Hawassa City is still limited and its’ utilization is influenced by different factors. Methods: A facility-based cross-sectional study was conducted among 422 randomly selected clients who visited the emergency service in public hospitals of Hawassa City. A structured interviewer-administered questionnaire adapted by reviewing previous literature was used. The collected data by using the Kobo toolbox was exported into a statical package for social science software for analysis. Descriptive statistics such as frequency, percentage, mean, and standard deviation were used. A binary logistic regression model at a 95 % confidence interval was used to declare an association between dependent and independent variables using the odds ratio. Results: All 422 participants completed the interview with a response rate of 100 %. The mean age of the study participants was 33.73 years with a 14.67 standard deviation. One quarter (24.9 % (95 % CI: 21.1–29.4)) of the study participants have utilized emergency medical services. Urban residence (AOR = 3.48, 95 % CI: 1.69–7.16), ever utilized ambulance service (AOR = 2.37, 95%CI: 1.21–4.67), having Red Cross Association ambulance number (AOR = 2.64, 95%CI: 1.20–5.83) and awareness on presence of free government ambulance (AOR = 3.74, 95%CI: 1.46–9.59) were the predictors of the outcome variable. Conclusion: utilization of emergency medical services in the study area was relatively low when compared with other studies. urban residence, ever utilization of ambulance service, awareness of the presence of free government ambulances, and having a Red Cross Association ambulance number were predictors of utilization of emergency medical service.

Published
2024
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11. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Author

Collaborators, GBD 2019 Cancer Risk Factors, Tran, Khanh Bao, Lang, Justin J, Compton, Kelly, Xu, Rixing, Acheson, Alistair R, Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Ali, Hiwa Abubaker, Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Acuna, Juan Manuel, Addison, Daniel, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adesina, Miracle Ayomikun, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afrin, Sumia, Afzal, Muhammad Sohail, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Rashid, Tarik Ahmed, Aiman, Wajeeha, Ajami, Marjan, Akalu, Gizachew Taddesse, Akbarzadeh-Khiavi, Mostafa, Aklilu, Addis, Akonde, Maxwell, Akunna, Chisom Joyqueenet, Hamad, Hanadi Al, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alessy, Saleh Ali, Algammal, Abdelazeem M, Al-Hanawi, Mohammed Khaled, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alqalyoobi, Shehabaldin, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, Al-Sabah, Salman Khalifah, Al-Tammemi, Ala'a B, Altawalah, Haya, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Dehkordi, Javad Javad Aminian, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderson, Jason A, Animut, Yaregal Animut, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antony, Benny, Antwi, Maxwell Hubert, Anwar, Sumadi Lukman, and Anwer, Razique

Subjects
Prevention, Cancer, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Female, Global Burden of Disease, Global Health, Humans, Male, Neoplasms, Quality-Adjusted Life Years, Risk Assessment, Risk Factors, Smoking, GBD 2019 Cancer Risk Factors Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundUnderstanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally.MethodsThe GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented.FindingsGlobally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]).InterpretationThe leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden.FundingBill & Melinda Gates Foundation.

Published
2022

14. Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning.

Author

Cromwell, Elizabeth A, Osborne, Joshua CP, Unnasch, Thomas R, Basáñez, Maria-Gloria, Gass, Katherine M, Barbre, Kira A, Hill, Elex, Johnson, Kimberly B, Donkers, Katie M, Shirude, Shreya, Schmidt, Chris A, Adekanmbi, Victor, Adetokunboh, Olatunji O, Afarideh, Mohsen, Ahmadpour, Ehsan, Ahmed, Muktar Beshir, Akalu, Temesgen Yihunie, Al-Aly, Ziyad, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alipour, Vahid, Andrei, Catalina Liliana, Ansari, Fereshteh, Ansha, Mustafa Geleto, Anvari, Davood, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Arnold, Benjamin F, Ausloos, Marcel, Ayanore, Martin Amogre, Baig, Atif Amin, Banach, Maciej, Barac, Aleksandra, Bärnighausen, Till Winfried, Bayati, Mohsen, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Bibi, Sadia, Bijani, Ali, Bohlouli, Somayeh, Bohluli, Mahdi, Brady, Oliver J, Bragazzi, Nicola Luigi, Butt, Zahid A, Carvalho, Felix, Chatterjee, Souranshu, Chattu, Vijay Kumar, Chattu, Soosanna Kumary, Cormier, Natalie Maria, Dahlawi, Saad MA, Damiani, Giovanni, Daoud, Farah, Darwesh, Aso Mohammad, Daryani, Ahmad, Deribe, Kebede, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Do, Hoa Thi, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elemineh, Demelash Abewa, Faraj, Anwar, Fasihi Harandi, Majid, Fatahi, Yousef, Feigin, Valery L, Fernandes, Eduarda, Foigt, Nataliya A, Foroutan, Masoud, Franklin, Richard Charles, Gubari, Mohammed Ibrahim Mohialdeen, Guido, Davide, Guo, Yuming, Haj-Mirzaian, Arvin, Hamagharib Abdullah, Kanaan, Hamidi, Samer, Herteliu, Claudiu, Hidru, Hagos Degefa de, Higazi, Tarig B, Hossain, Naznin, Hosseinzadeh, Mehdi, Househ, Mowafa, Ilesanmi, Olayinka Stephen, Ilic, Milena D, Ilic, Irena M, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Jha, Ravi Prakash, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kabir, Zubair, Kalankesh, Leila R, Kalhor, Rohollah, Karami Matin, Behzad, Karimi, Salah Eddin, Kasaeian, Amir, Kavetskyy, Taras, Kayode, Gbenga A, Kazemi Karyani, Ali, Kelbore, Abraham Getachew, and Keramati, Maryam

Subjects
Biological Sciences, Medical and Health Sciences, Tropical Medicine
Abstract

Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitability concordant with locations where onchocerciasis has been previously detected. This threshold value was then used to classify IUs (more suitable or less suitable) based on the location within the IU with the largest mean prediction. Mean estimates of environmental suitability suggest large areas across West and Central Africa, as well as focal areas of East Africa, are suitable for onchocerciasis transmission, consistent with the presence of current control and elimination of transmission efforts. The ROC analysis identified a mean environmental suitability index of 0·71 as a threshold to classify based on the location with the largest mean prediction within the IU. Of the IUs considered for mapping surveys, 50·2% exceed this threshold for suitability in at least one 5 × 5-km location. The formidable scale of data collection required to map onchocerciasis endemicity across the African continent presents an opportunity to use spatial data to identify areas likely to be suitable for onchocerciasis transmission. National onchocerciasis elimination programmes may wish to consider prioritising these IUs for mapping surveys as human resources, laboratory capacity, and programmatic schedules may constrain survey implementation, and possibly delaying MDA initiation in areas that would ultimately qualify.

Published
2021

15. Ovarian response and conception rate in Boran and Boran*Holstein cows treated by Gonadotrophin-realizing hormone and ProstaglandinF2α with and without exogenous progesterone

Author

Tilaye Demissie Ayanie, Alebachew Tilahun Wassie, Ebisa Merga Kebede, Tefera Yilma Mekonnen, Tamrat Degefa Geleto, and Alemayehu Lemma Biru

Subjects
Boran, Boran*Holstein, Breed, Conception rate, Veterinary medicine, SF600-1100
Abstract

Abstract Background Difference in breed, nutrition status and climate in which animals are managed result in differences in response to reproductive hormones. Fertility rate to artificial insemination is very low in Ethiopian Boran and Boran*Holstein crosses. This partly maybe due to adopting estrus and/or ovulation synchronization developed for temperate taurine cattle. Experimental study was conducted to evaluate ovarian response to combinations of Gonadotrophin-Realizing Hormone agonist (gonadorelin) and ProstaglandinF2α (PGF2α) with or without progesterone (Controlled Internal Drug Release/CIDR), and conception rate to timed AI. Postpartum native Ethiopian Boran (n = 60) and Boran*Holstein cross (n = 66) cows were randomly assigned to four treatment groups as Ovsynch (gonadorelin on day of start, PGF2α seven days later, 2nd gonadorelin at 48 h of PGF2α and insemination at 19 h of the 2nd gonadorelin); CIDR + Ovsynch (same as Ovsynch but CIDR device was inserted into vagina for 7 days); Cosynch (same as Ovsynch but insemination was made at the 2nd gonadorelin) and CIDR + Cosynch (same as Cosynch but CIDR was inserted for 7 days). Result There was no difference (P > 0.05) in ovulation rate to day 9 gonadorelin (88.33% in Boran; 78.79% in Boran*Holstein) and interval from day 9 gonadorelin to ovulation (36.5 ± 1.13 h in Boran and 36.057 ± 1.11 h in Boran*Holstein). Dominant follicle immediate to ovulation (14.95 ± 0.19 mm Vs 19.12 ± 0.49 mm) and corpus luteum size (16.31 ± 0.33 mm Vs 20.28 ± 0.43 mm ) respectively were smaller (P

Published
2023
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18. 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

21. 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 ME, 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 ML, 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 FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, and Bali, Ayele Geleto

Subjects
Prevention, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Disabled Persons, Female, Global Burden of Disease, Global Health, Humans, Incidence, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Morbidity, Prevalence, Sex Distribution, Socioeconomic Factors, Wounds and Injuries, Young Adult, GBD 2017 Disease and Injury Incidence and Prevalence Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundThe 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.MethodsWe 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.FindingsGlobally, 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 s1400 [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]).InterpretationGlobal 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.FundingBill & Melinda Gates Foundation.

Published
2018

22. Epidemiology of soil-transmitted helminthiasis and associated malnutrition among under-fives in conflict affected areas in southern Ethiopia

Author

Gosa Ebrahim Geleto, Tesfu Kassa, and Berhanu Erko

Subjects
Emergency, Internally displaced people, Soil-transmitted helminths, Under-fives, Arctic medicine. Tropical medicine, RC955-962
Abstract

Abstract Background Globally, there were about 50.8 million internally displaced people in 2020, of whom 42% were in sub-Saharan Africa. In areas where there are conflicts, the humanitarian emergency makes infectious disease management extremely complex. Soil-transmitted helminths (STHs) are among the most common infections globally including in Ethiopia that thrives during complex emergencies. However, with regards to STHs, studies in the context of conflict areas have not been documented in Ethiopia. Methods In southern Ethiopia, a community-based cross-sectional study design was employed. Simple random sampling method was used to enroll a total of 405 under-fives. Structured questionnaire was used to collect data. Kato–Katz technique was used to examine stool specimens for Ascaris lumbricoides, Trichuris trichiura and hookworm spp. The Z-score for stunting, wasting and underweight were computed using the World Health Organization anthroprocedures. Results The respective prevalence of soil-transmitted helminths infection and malnutrition was 67.4% (273) and 54.2% (219). Ascaris lumbricoides was the predominant helminth parasite with a prevalence of 90%, followed by T. trichiura (12%) and hookworm spp. (5%). STHs infection was significantly associated with under-nutrition (AOR: 1.88, CI 1.22–2.90) and internal displacement (AOR: 3.08, CI 1.17–8.09). Infection with A. lumbricoides was associated with both stunting and wasting (AOR: 3.04, CI 1.48–6.26) and (AOR: 3.51, CI 1.79–6.91), respectively. Conclusions Both soil-transmitted helminths and malnutrition were important public health problems among under-fives in the present conflict affected areas. Internal displacement, unimproved water, absence of latrine and sanitary services were among significant determinants for STH infections.

Published
2022
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23. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Author

Tran, Khanh Bao, Lang, Justin J, Compton, Kelly, Xu, Rixing, Acheson, Alistair R, Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Acuna, Juan Manuel, Addison, Daniel, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adesina, Miracle Ayomikun, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afrin, Sumia, Afzal, Muhammad Sohail, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Aiman, Wajeeha, Ajami, Marjan, Akalu, Gizachew Taddesse, Akbarzadeh-Khiavi, Mostafa, Aklilu, Addis, Akonde, Maxwell, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alessy, Saleh Ali, Algammal, Abdelazeem M, Al-Hanawi, Mohammed Khaled, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alqalyoobi, Shehabaldin, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, Al-Sabah, Salman Khalifah, Al-Tammemi, Ala'a B, Altawalah, Haya, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Aminian Dehkordi, Javad Javad, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderson, Jason A, Animut, Yaregal Animut, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antony, Benny, Antwi, Maxwell Hubert, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Argaw, Ayele Mamo, Ariffin, Hany, Aripov, Timur, Arshad, Muhammad, Artaman, Al, Arulappan, Judie, Aruleba, Raphael Taiwo, Aryannejad, Armin, Asaad, Malke, Asemahagn, Mulusew A, Asemi, Zatollah, Asghari-Jafarabadi, Mohammad, Ashraf, Tahira, Assadi, Reza, Athar, Mohammad, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Attia, Sameh, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awedew, Atalel Fentahun, Awoke, Mamaru Ayenew, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Ayen, Solomon Shitu, Azadi, Davood, Azadnajafabad, Sina, Azami-Aghdash, Saber, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azizi, Hosein, Azzam, Ahmed Y Y, Babajani, Amirhesam, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nader, Bagherieh, Sara, Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L, Bakhtiari, Ahad, Bakshi, Ravleen Kaur, Banach, Maciej, Banerjee, Indrajit, Bardhan, Mainak, Barone-Adesi, Francesco, Barra, Fabio, Barrow, Amadou, Bashir, Nasir Z, Bashiri, Azadeh, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Begum, Aeysha, Bekele, Alehegn Bekele, Belay, Alemayehu Sayih, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Belo, Luis, Benzian, Habib, Berhie, Alemshet Yirga, Bermudez, Amiel Nazer C, Bernabe, Eduardo, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Bharti Bhandari, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bhuyan, Soumitra S, Bibi, Sadia, Bilchut, Awraris Hailu, Bintoro, Bagas Suryo, Biondi, Antonio, Birega, Mesfin Geremaw Birega, Birhan, Habitu Eshetu, Bjørge, Tone, Blyuss, Oleg, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brauer, Michael, Brenner, Hermann, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Buchanan, Christina Maree, Bulamu, Norma B, Bustamante-Teixeira, Maria Teresa, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Cao, Chao, Cao, Yin, Carreras, Giulia, Carvalho, Márcia, Cembranel, Francieli, Cerin, Ester, Chakraborty, Promit Ananyo, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chirinos-Caceres, Jesus Lorenzo, Cho, Daniel Youngwhan, Cho, William C S, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Cohen, Aaron J, Conde, Joao, Cortés, Sandra, Costa, Vera Marisa, Cruz-Martins, Natália, Culbreth, Garland T, Dadras, Omid, Dagnaw, Fentaw Teshome, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Daneshpajouhnejad, Parnaz, Danielewicz, Anna, Dao, An Thi Minh, Darvishi Cheshmeh Soltani, Reza, Darwesh, Aso Mohammad, Das, Saswati, Davitoiu, Dragos Virgil, Davtalab Esmaeili, Elham, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dehghan, Azizallah, Demisse, Biniyam, Demisse, Fitsum Wolde, Denova-Gutiérrez, Edgar, Derakhshani, Afshin, Derbew Molla, Meseret, Dereje, Diriba, Deribe, Kalkidan Solomon, Desai, Rupak, Desalegn, Markos Desalegn, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Dessie, Gashaw, Desta, Abebaw Alemayehu, Dewan, Syed Masudur Rahman, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dixit, Shilpi Gupta, Doaei, Saeid, Doan, Linh Phuong, Doku, Paul Narh, Dongarwar, Deepa, dos Santos, Wendel Mombaque, Driscoll, Tim Robert, Dsouza, Haneil Larson, Durojaiye, Oyewole Christopher, Edalati, Sareh, Eghbalian, Fatemeh, Ehsani-Chimeh, Elham, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Ekwueme, Donatus U, El Tantawi, Maha, Elbahnasawy, Mostafa Ahmed, Elbarazi, Iffat, Elghazaly, Hesham, Elhadi, Muhammed, El-Huneidi, Waseem, Emamian, Mohammad Hassan, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshetu, Tegegne, Eshrati, Babak, Eskandarieh, Sharareh, Espinosa-Montero, Juan, Etaee, Farshid, Etemadimanesh, Azin, Eyayu, Tahir, Ezeonwumelu, Ifeanyi Jude, Ezzikouri, Sayeh, Fagbamigbe, Adeniyi Francis, Fahimi, Saman, Fakhradiyev, Ildar Ravisovich, Faraon, Emerito Jose A, Fares, Jawad, Farmany, Abbas, Farooque, Umar, Farrokhpour, Hossein, Fasanmi, Abidemi Omolara, Fatehizadeh, Ali, Fatima, Wafa, Fattahi, Hamed, Fekadu, Ginenus, Feleke, Berhanu Elfu, Ferrari, Allegra Allegra, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Foroumadi, Roham, Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gad, Mohamed M, Gadanya, Muktar A, Gaipov, Abduzhappar, Galehdar, Nasrin, Gallus, Silvano, Garg, Tushar, Gaspar Fonseca, Mariana, Gebremariam, Yosef Haile, Gebremeskel, Teferi Gebru, Gebremichael, Mathewos Alemu, Geda, Yohannes Fikadu, Gela, Yibeltal Yismaw, Gemeda, Belete Negese Belete, Getachew, Melaku, Getachew, Motuma Erena, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-Hadi, Ghasemi Nour, Mohammad, Ghassemi, Fariba, Ghimire, Ajnish, Ghith, Nermin, Gholamalizadeh, Maryam, Gholizadeh Navashenaq, Jamshid, Ghozy, Sherief, Gilani, Syed Amir, Gill, Paramjit Singh, Ginindza, Themba G, Gizaw, Abraham Tamirat T, Glasbey, James C, Godos, Justyna, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Golitaleb, Mohamad, Gorini, Giuseppe, Goulart, Bárbara Niegia Garcia, Grosso, Giuseppe, Guadie, Habtamu Alganeh, Gubari, Mohammed Ibrahim Mohialdeen, Gudayu, Temesgen Worku, Guerra, Maximiliano Ribeiro, Gunawardane, Damitha Asanga, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Gurara, Mekdes Kondale, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atlas, Hafezi-Nejad, Nima, Hajj Ali, Adel, Haj-Mirzaian, Arvin, Halboub, Esam S, Halimi, Aram, Halwani, Rabih, Hamadeh, Randah R, Hameed, Sajid, Hamidi, Samer, Hanif, Asif, Hariri, Sanam, Harlianto, Netanja I, Haro, Josep Maria, Hartono, Risky Kusuma, Hasaballah, Ahmed I, Hasan, S M Mahmudul, Hasani, Hamidreza, Hashemi, Seyedeh Melika, Hassan, Abbas M, Hassanipour, Soheil, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Heidarymeybodi, Zahra, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Hezam, Kamal, Hiraike, Yuta, Hlongwa, Mbuzeleni Mbuzeleni, Holla, Ramesh, Holm, Marianne, Horita, Nobuyuki, Hoseini, Mohammad, Hossain, Md Mahbub, Hossain, Mohammad Bellal Hossain, Hosseini, Mohammad-Salar, Hosseinzadeh, Ali, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Huang, Junjie, Hugo, Fernando N, Humayun, Ayesha, Hussain, Salman, Hussein, Nawfal R, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Iftikhar, Pulwasha Maria, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Innos, Kaire, Iranpour, Pooya, Irham, Lalu Muhammad, Islam, Md Shariful, Islam, Rakibul M, Islami, Farhad, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, J, Linda Merin, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jalili, Mahsa, Jalilian, Shahram, Jamshidi, Elham, Jang, Sung-In, Jani, Chinmay T, Javaheri, Tahereh, Jayarajah, Umesh Umesh, Jayaram, Shubha, Jazayeri, Seyed Behzad, Jebai, Rime, Jemal, Bedru, Jeong, Wonjeong, Jha, Ravi Prakash, Jindal, Har Ashish, John-Akinola, Yetunde O, Jonas, Jost B, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kahe, Farima, Kakodkar, Pradnya Vishal, Kalankesh, Laleh R, Kalankesh, Leila R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kamangar, Farin, Kamath, Ashwin, Kanchan, Tanuj, Kandaswamy, Eswar, Kandel, Himal, Kang, HyeJung, Kanno, Girum Gebremeskel, Kapoor, Neeti, Kar, Sitanshu Sekhar, Karanth, Shama D, Karaye, Ibraheem M, Karch, André, Karimi, Amirali, Kassa, Bekalu Getnet, Katoto, Patrick DMC, Kauppila, Joonas H, Kaur, Harkiran, Kebede, Abinet Gebremickael, Keikavoosi-Arani, Leila, Kejela, Gemechu Gemechu, Kemp Bohan, Phillip M, Keramati, Maryam, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abbas, Khan, Abdul Aziz Khan, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khan, Moien AB, Khanali, Javad, Khatab, Khaled, Khatatbeh, Moawiah Mohammad, Khatib, Mahalaqua Nazli, Khayamzadeh, Maryam, Khayat Kashani, Hamid Reza, Khazeei Tabari, Mohammad Amin, Khezeli, Mehdi, Khodadost, Mahmoud, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Klugar, Miloslav, Klugarová, Jitka, Kolahi, Ali-Asghar, Kolkhir, Pavel, Kompani, Farzad, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kucuk Bicer, Burcu, Kugbey, Nuworza, Kulimbet, Mukhtar, Kumar, Akshay, Kumar, G Anil, Kumar, Narinder, Kurmi, Om P, Kuttikkattu, Ambily, La Vecchia, Carlo, Lahiri, Arista, Lal, Dharmesh Kumar, Lám, Judit, Lan, Qing, Landires, Iván, Larijani, Bagher, Lasrado, Savita, Lau, Jerrald, Lauriola, Paolo, Ledda, Caterina, Lee, Sang-woong, Lee, Shaun Wen Huey, Lee, Wei-Chen, Lee, Yeong Yeh, Lee, Yo Han, Legesse, Samson Mideksa, Leigh, James, Leong, Elvynna, Li, Ming-Chieh, Lim, Stephen S, Liu, Gang, Liu, Jue, Lo, Chun-Han, Lohiya, Ayush, Lopukhov, Platon D, Lorenzovici, László, Lotfi, Mojgan, Loureiro, Joana A, Lunevicius, Raimundas, Madadizadeh, Farzan, Mafi, Ahmad R, Magdeldin, Sameh, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahmoudi, Morteza, Mahmoudimanesh, Marzieh, Mahumud, Rashidul Alam, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Makris, Konstantinos Christos, Malakan Rad, Elaheh, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Mallya, Sneha Deepak, Mamun, Mohammed A, Manda, Ana Laura, Mansour-Ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martini, Santi, Martorell, Miquel, Masoudi, Sahar, Masoumi, Seyedeh Zahra, Matei, Clara N, Mathews, Elezebeth, Mathur, Manu Raj, Mathur, Vasundhara, McKee, Martin, Meena, Jitendra Kumar, Mehmood, Khalid, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza, Walter, Menezes, Ritesh G, Mengesha, SIsay Derso, Mensah, Laverne G, Mentis, Alexios-Fotios A, Mera-Mamián, Andry Yasmid Mera, Meretoja, Tuomo J, Merid, Mehari Woldemariam, Mersha, Amanual Getnet, Meselu, Belsity Temesgen, Meshkat, Mahboobeh, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Tomasz, Michalek, Irmina Maria, Mijena, Gelana Fekadu Worku, Miller, Ted R, Mir, Shabir Ahmad, Mirinezhad, Seyed Kazem, Mirmoeeni, Seyyedmohammadsadeq, Mirza-Aghazadeh-Attari, Mohammad, Mirzaei, Hamed, Mirzaei, Hamid Reza, Misganaw, Abay Sisay, Misra, Sanjeev, Mohammad, Karzan Abdulmuhsin, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Arif, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Moka, Nagabhishek, Mokdad, Ali H, Molassiotis, Alex, Molokhia, Mariam, Momenzadeh, Kaveh, Momtazmanesh, Sara, Monasta, Lorenzo, Mons, Ute, Montasir, Ahmed Al, Montazeri, Fateme, Montero, Arnulfo, Moosavi, Mohammad Amin, Moradi, Abdolvahab, Moradi, Yousef, Moradi Sarabi, Mostafa, Moraga, Paula, Morawska, Lidia, Morrison, Shane Douglas, Morze, Jakub, Mosapour, Abbas, Mostafavi, Ebrahim, Mousavi, Seyyed Meysam, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mpundu-Kaambwa, Christine, Mubarik, Sumaira, Mulita, Francesk, Munblit, Daniel, Munro, Sandra B, Murillo-Zamora, Efrén, Musa, Jonah, Nabhan, Ashraf F, Nagarajan, Ahamarshan Jayaraman, Nagaraju, Shankar Prasad, Nagel, Gabriele, Naghipour, Mohammadreza, Naimzada, Mukhammad David, Nair, Tapas Sadasivan, Naqvi, Atta Abbas, Narasimha Swamy, Sreenivas, Narayana, Aparna Ichalangod, Nassereldine, Hasan, Natto, Zuhair S, Nayak, Biswa Prakash, Ndejjo, Rawlance, Nduaguba, Sabina Onyinye, Negash, Wogene Wogene, Nejadghaderi, Seyed Aria, Nejati, Kazem, Neupane Kandel, Sandhya, Nguyen, Huy Van Nguyen, Niazi, Robina Khan, Noor, Nurulamin M, Noori, Maryam, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Odukoya, Oluwakemi Ololade, Oghenetega, Onome Bright, Ogunsakin, Ropo Ebenezer, Oguntade, Ayodipupo Sikiru, Oh, In-Hwan, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Olagunju, Andrew T, Olagunju, Tinuke O, Olakunde, Babayemi Oluwaseun, Olufadewa, Isaac Iyinoluwa, Omer, Emad, Omonisi, Abidemi E Emmanuel, Ong, Sokking, Onwujekwe, Obinna E, Orru, Hans, Otstavnov, Stanislav S, Oulhaj, Abderrahim, Oumer, Bilcha, Owopetu, Oluwatomi Funbi, Oyinloye, Babatunji Emmanuel, P A, Mahesh, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pakbin, Babak, Pakshir, Keyvan, Pakzad, Reza, Palicz, Tamás, Pana, Adrian, Pandey, Anamika, Pandey, Ashok, Pant, Suman, Pardhan, Shahina, Park, Eun-Cheol, Park, Eun-Kee, Park, Seoyeon, Patel, Jay, Pati, Siddhartha, Paudel, Rajan, Paudel, Uttam, Paun, Mihaela, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pereira, Jeevan, Pereira, Renato B, Perna, Simone, Perumalsamy, Navaraj, Pestell, Richard G, Pezzani, Raffaele, Piccinelli, Cristiano, Pillay, Julian David, Piracha, Zahra Zahid, Pischon, Tobias, Postma, Maarten J, Pourabhari Langroudi, Ashkan, Pourshams, Akram, Pourtaheri, Naeimeh, Prashant, Akila, Qadir, Mirza Muhammad Fahd, Quazi Syed, Zahiruddin, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi, Mojtaba, Rafiee, Ata, Rafiei, Alireza, Raheem, Nasiru, Rahim, Fakher, Rahman, Md Obaidur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajai, Nazanin, Rajesh, Aashish, Ram, Pradhum, Ramezanzadeh, Kiana, Rana, Juwel, Ranabhat, Kamal, Ranasinghe, Priyanga, Rao, Chythra R, Rao, Sowmya J, Rashedi, Sina, Rashidi, Amirfarzan, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Rehman, Ashfaq Ur, Rehman, Inayat ur, Reitsma, Marissa B, Renzaho, Andre M N, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Negar, Rezaei, Nima, Rezaei, Saeid, Rezaeian, Mohsen, Rezapour, Aziz, Riad, Abanoub, Rikhtegar, Reza, Rios-Blancas, Maria, Roberts, Thomas J, Rohloff, Peter, Romero-Rodríguez, Esperanza, Roshandel, Gholamreza, Rwegerera, Godfrey M, S, Manjula, Saber-Ayad, Maha Mohamed, Saberzadeh-Ardestani, Bahar, Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Saeb, Mohammad Reza, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Salari, Hedayat, Salehi, Sana, Salem, Marwa Rashad, Salimzadeh, Hamideh, Samodra, Yoseph Leonardo, Samy, Abdallah M, Sanabria, Juan, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Saqib, Muhammad Arif Nadeem, Sarveazad, Arash, Sarvi, Fatemeh, Sathian, Brijesh, Satpathy, Maheswar, Sayegh, Nicolas, Schneider, Ione Jayce Ceola, Schwarzinger, Michaël, Šekerija, Mario, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Seylani, Allen, Seyoum, Kenbon, Sha, Feng, Shafaat, Omid, Shah, Pritik A, Shahabi, Saeed, Shahid, Izza, Shahrbaf, Mohammad Amin, Shahsavari, Hamid R, Shaikh, Masood Ali, Shaka, Mohammed Feyisso, Shaker, Elaheh, Shannawaz, Mohammed, Sharew, Mequannent Melaku Sharew, Sharifi, Azam, Sharifi-Rad, Javad, Sharma, Purva, Shashamo, Bereket Beyene, Sheikh, Aziz, Sheikh, Mahdi, Sheikhbahaei, Sara, Sheikhi, Rahim Ali, Sheikhy, Ali, Shepherd, Peter Robin, Shetty, Adithi, Shetty, Jeevan K, Shetty, Ranjitha S, Shibuya, Kenji, Shirkoohi, Reza, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shivalli, Siddharudha, Shivarov, Velizar, Shobeiri, Parnian, Shokri Varniab, Zahra, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Siddappa Malleshappa, Sudeep K, Sidemo, Negussie Boti, Silva, Diego Augusto Santos, Silva, Luís Manuel Lopes Rodrigues, Silva Julian, Guilherme, Silvestris, Nicola, Simegn, Wudneh, Singh, Achintya Dinesh, Singh, Ambrish, Singh, Garima, Singh, Harpreet, Singh, Jasvinder A, Singh, Jitendra Kumar, Singh, Paramdeep, Singh, Surjit, Sinha, Dhirendra Narain, Sinke, Abiy H, Siraj, Md Shahjahan, Sitas, Freddy, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Soeberg, Matthew J, Sofi-Mahmudi, Ahmad, Solomon, Yonatan, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soshnikov, Sergey, Sotoudeh, Houman, Sowe, Alieu, Sufiyan, Mu'awiyyah Babale, Suk, Ryan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Sur, Daniel, Szócska, Miklós, Tabaeian, Seidamir Pasha, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabuchi, Takahiro, Tadbiri, Hooman, Taheri, Ensiyeh, Taheri, Majid, Taheri Soodejani, Moslem, Takahashi, Ken, Talaat, Iman M, Tampa, Mircea, Tan, Ker-Kan, Tat, Nathan Y, Tat, Vivian Y, Tavakoli, Ahmad, Tavakoli, Arash, Tehrani-Banihashemi, Arash, Tekalegn, Yohannes, Tesfay, Fisaha Haile, Thapar, Rekha, Thavamani, Aravind, Thoguluva Chandrasekar, Viveksandeep, Thomas, Nihal, Thomas, Nikhil Kenny, Ticoalu, Jansje Henny Vera, Tiyuri, Amir, Tollosa, Daniel Nigusse, Topor-Madry, Roman, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Mai Thi Ngoc, Tripathy, Jaya Prasad, Ukke, Gebresilasea Gendisha, Ullah, Irfan, Ullah, Saif, Ullah, Sana, Unnikrishnan, Bhaskaran, Vacante, Marco, Vaezi, Maryam, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vardavas, Constantine, Varthya, Shoban Babu, Vaziri, Siavash, Velazquez, Diana Zuleika, Veroux, Massimiliano, Villeneuve, Paul J, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vu, Linh Gia, Wadood, Abdul Wadood, Waheed, Yasir, Walde, Mandaras Tariku, Wamai, Richard G, Wang, Cong, Wang, Fang, Wang, Ning, Wang, Yu, Ward, Paul, Waris, Abdul, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Woldemariam, Melat, Woldu, Berhanu, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yazdanpanah, Fereshteh, Yeshaw, Yigizie, Yismaw, Yazachew, Yonemoto, Naohiro, Younis, Mustafa Z, Yousefi, Zabihollah, Yousefian, Fatemeh, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Nazar, Zaman, Burhan Abdullah, Zangiabadian, Moein, Zare, Fariba, Zare, Iman, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zeineddine, Mohammad A, Zhang, Dongyu, Zhang, Jianrong, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhou, Linghui, Zodpey, Sanjay, Zoladl, Mohammad, Vos, Theo, Hay, Simon I, Force, Lisa M, and Murray, Christopher J L

Published
2022
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24. 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

25. 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

Collaborators, GBD 2017 Causes of Death, Roth, Gregory A, 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, 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 M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adib, Mina G, Admasie, Amha, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayele, Yohanes, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Bacha, Umar, Badali, Hamid, and Badawi, Alaa

Subjects
Brain Disorders, Pediatric, Prevention, Aetiology, 2.4 Surveillance and distribution, Infection, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Causes of Death Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundGlobal 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.MethodsThe 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.FindingsAt 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.InterpretationImprovements 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.FundingBill & Melinda Gates Foundation.

Published
2018

26. 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

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

Author

Collaborators, GBD 2017 Risk Factor, Stanaway, Jeffrey D, Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S, Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adane, Akilew Awoke, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Admasie, Amha, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Agarwal, Gina, Aggarwal, Anju, Aghayan, Sargis Aghasi, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Alahdab, Fares, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Ali, Komal, Ali, Syed Mustafa, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayer, Rakesh, and Ayuk, Tambe B

Subjects
Prevention, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Disabled Persons, Environmental Exposure, Female, Global Burden of Disease, Global Health, Health Risk Behaviors, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Metabolic Diseases, Middle Aged, Occupational Diseases, Occupational Exposure, Quality-Adjusted Life Years, Risk Assessment, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Risk Factor Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk-outcome associations.MethodsWe used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017.FindingsIn 2017, 34·1 million (95% uncertainty interval [UI] 33·3-35·0) deaths and 1·21 billion (1·14-1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6-62·4) of deaths and 48·3% (46·3-50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39-11·5) deaths and 218 million (198-237) DALYs, followed by smoking (7·10 million [6·83-7·37] deaths and 182 million [173-193] DALYs), high fasting plasma glucose (6·53 million [5·23-8·23] deaths and 171 million [144-201] DALYs), high body-mass index (BMI; 4·72 million [2·99-6·70] deaths and 148 million [98·6-202] DALYs), and short gestation for birthweight (1·43 million [1·36-1·51] deaths and 139 million [131-147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3-6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low.InterpretationBy quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning.FundingBill & Melinda Gates Foundation.

Published
2018

28. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Collaborators, GBD 2017 Mortality, Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, 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, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, 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, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, 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, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, and Artaman, Al

Subjects
Behavioral and Social Science, Pediatric, Prevention, Basic Behavioral and Social Science, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Mortality, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Mortality Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundAssessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally.MethodsThe GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950.FindingsGlobally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development.InterpretationThis analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing.FundingBill & Melinda Gates Foundation.

Published
2018

29. 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, Hmwe Hmwe, 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, Molla, Abebe, Zegeye, Abil, Olifan Zewdie, Aboyans, Victor, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Ademi, Zanfina, 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, Anurag, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, 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, Alonso, Jordi, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Aminde, Leopold N, Amini, Erfan, Amiresmaili, Mohammadreza, 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, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, and Balakrishnan, Kalpana

Subjects
Prevention, Aging, Good Health and Well Being, Aged, Communicable Diseases, Disabled Persons, Female, Global Burden of Disease, Health Status, Healthy Lifestyle, Humans, Life Expectancy, Male, Mortality, Mortality, Premature, Prevalence, Quality-Adjusted Life Years, Risk Factors, Socioeconomic Factors, Wounds and Injuries, GBD 2017 DALYs and HALE Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundHow 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.MethodsWe 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 Socio-demographic 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.FindingsGlobally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1-7·8), 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).InterpretationWith 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 SDI 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.FundingBill & Melinda Gates Foundation.

Published
2018

30. Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Griswold, Max G, Fullman, Nancy, Hawley, Caitlin, Arian, Nicholas, Zimsen, Stephanie RM, Tymeson, Hayley D, Venkateswaran, Vidhya, Tapp, Austin Douglas, Forouzanfar, Mohammad H, Salama, Joseph S, Abate, Kalkidan Hassen, Abate, Degu, Abay, Solomon M, Abbafati, Cristiana, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Aboyans, Victor, Abrar, Mohammed Mehdi, Acharya, Pawan, Adetokunboh, Olatunji O, Adhikari, Tara Ballav, Adsuar, Jose C, Afarideh, Mohsen, Agardh, Emilie Elisabet, Agarwal, Gina, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmed, Muktar Beshir, Akibu, Mohammed, Akinyemiju, Tomi, Akseer, Nadia, Asfoor, Deena H Al, Al-Aly, Ziyad, Alahdab, Fares, Alam, Khurshid, Albujeer, Ammar, Alene, Kefyalew Addis, Ali, Raghib, Ali, Syed Danish, Alijanzadeh, Mehran, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Allebeck, Peter, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Ammar, Walid, Amoako, Yaw Ampem, Amul, Gianna Gayle Herrera, Andrei, Catalina Liliana, Angus, Colin, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Assadi, Reza, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F, Awasthi, Ashish, Ayele, Henok Tadesse, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Badali, Hamid, Badawi, Alaa, Banach, Maciej, Barker-Collo, Suzanne Lyn, Barrero, Lope H, Basaleem, Huda, Baye, Estifanos, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Béjot, Yannick, Belachew, Abate Bekele, Belay, Saba Abraham, Bennett, Derrick A, Bensenor, Isabela M, Bernabe, Eduardo, Bernstein, Robert S, Beyene, Addisu Shunu, Beyranvand, Tina, Bhaumik, Soumyadeeep, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bililign, Nigus, Birlik, Sait Mentes, Birungi, Charles, Bizuneh, Hailemichael, Bjerregaard, Peter, Bjørge, Tone, Borges, Guilherme, Bosetti, Cristina, Boufous, Soufiane, Bragazzi, Nicola Luigi, Brenner, Hermann, and Butt, Zahid A

Subjects
Epidemiology, Public Health, Health Sciences, Substance Misuse, Women's Health, Aging, Behavioral and Social Science, Prevention, Alcoholism, Alcohol Use and Health, 2.4 Surveillance and distribution, Oral and gastrointestinal, Cancer, Stroke, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Alcohol Drinking, Cause of Death, Commerce, Female, Global Burden of Disease, Global Health, Humans, Male, Middle Aged, Observational Studies as Topic, Population Surveillance, Prevalence, Prospective Studies, Quality-Adjusted Life Years, Retrospective Studies, Risk Assessment, Risk Factors, Sex Distribution, Young Adult, GBD 2016 Alcohol Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundAlcohol use is a leading risk factor for death and disability, but its overall association with health remains complex given the possible protective effects of moderate alcohol consumption on some conditions. With our comprehensive approach to health accounting within the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we generated improved estimates of alcohol use and alcohol-attributable deaths and disability-adjusted life-years (DALYs) for 195 locations from 1990 to 2016, for both sexes and for 5-year age groups between the ages of 15 years and 95 years and older.MethodsUsing 694 data sources of individual and population-level alcohol consumption, along with 592 prospective and retrospective studies on the risk of alcohol use, we produced estimates of the prevalence of current drinking, abstention, the distribution of alcohol consumption among current drinkers in standard drinks daily (defined as 10 g of pure ethyl alcohol), and alcohol-attributable deaths and DALYs. We made several methodological improvements compared with previous estimates: first, we adjusted alcohol sales estimates to take into account tourist and unrecorded consumption; second, we did a new meta-analysis of relative risks for 23 health outcomes associated with alcohol use; and third, we developed a new method to quantify the level of alcohol consumption that minimises the overall risk to individual health.FindingsGlobally, alcohol use was the seventh leading risk factor for both deaths and DALYs in 2016, accounting for 2·2% (95% uncertainty interval [UI] 1·5-3·0) of age-standardised female deaths and 6·8% (5·8-8·0) of age-standardised male deaths. Among the population aged 15-49 years, alcohol use was the leading risk factor globally in 2016, with 3·8% (95% UI 3·2-4·3) of female deaths and 12·2% (10·8-13·6) of male deaths attributable to alcohol use. For the population aged 15-49 years, female attributable DALYs were 2·3% (95% UI 2·0-2·6) and male attributable DALYs were 8·9% (7·8-9·9). The three leading causes of attributable deaths in this age group were tuberculosis (1·4% [95% UI 1·0-1·7] of total deaths), road injuries (1·2% [0·7-1·9]), and self-harm (1·1% [0·6-1·5]). For populations aged 50 years and older, cancers accounted for a large proportion of total alcohol-attributable deaths in 2016, constituting 27·1% (95% UI 21·2-33·3) of total alcohol-attributable female deaths and 18·9% (15·3-22·6) of male deaths. The level of alcohol consumption that minimised harm across health outcomes was zero (95% UI 0·0-0·8) standard drinks per week.InterpretationAlcohol use is a leading risk factor for global disease burden and causes substantial health loss. We found that the risk of all-cause mortality, and of cancers specifically, rises with increasing levels of consumption, and the level of consumption that minimises health loss is zero. These results suggest that alcohol control policies might need to be revised worldwide, refocusing on efforts to lower overall population-level consumption.FundingBill & Melinda Gates Foundation.

Published
2018

34. Interruptions in contraception and unintended pregnancy during the COVID-19 pandemic: A protocol for systematic review and meta-analysis

Author

Ayele Geleto, Jo Taylor, and Tesfalidet Beyene

Subjects
Medicine
Abstract

Background: The COVID-19 pandemic has impacted access to and use of maternal, newborn, and child health services. Due to lockdowns and travel restrictions implemented during the first wave of the pandemic, the provision of essential maternal health services such as family planning was critically affected. Unlike most healthcare, contraception-related services are impractical for virtual care provision as women need to attend the clinic in person. Therefore, most women across the world might have been left with an unmet need for contraception during the lockdown period. Interruptions in contraception services have led to an increased number of unintended pregnancies. With the emergence of several pocket studies, it is essential to pool the available evidence reporting the effects of COVID-19 on contraception to inform maternal health policy and practice. Objective: The aims of this review are (1) to determine the effects of the COVID-19 pandemic on access to contraceptives among sexually active women and (2) to identify the magnitude of unintended pregnancy linked to interruptions of contraceptives due to the COVID-19 pandemic. Methods: The protocol for this systematic review was registered in PROSPERO (CRD42021267077). Electronic databases such as MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature, Scopus, Web of Science, and Google Scholar will be searched for articles using appropriate key terms. The identified articles will be assessed against the eligibility criteria. Two reviewers (A.B. and T.B.) will independently screen titles and abstracts of all retrieved articles followed by a full-text review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. The quality of the papers will be assessed by using the Risk of Bias Assessment tool for Non-Randomized Studies. Quantitative findings will be pooled using a random-effects model meta-analysis, while qualitative findings will be presented using a narrative synthesis. Ethics and dissemination: Ethical approval is not required. The findings will be disseminated through conference presentations and peer-reviewed publications. Discussion: This systematic review will present current data needed to design evidence-based programmes for improving access to contraception and preventing unintended pregnancy during the COVID-19 pandemic and future emergencies. Systematic review registration: PROSPERO CRD42021267077.

Published
2023
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35. Impacts Of Fishing On The Rural Household Income; Evidence From Ethiopian Rift-Valley

Author

Alemayehu Abebe Wake, Teferi Tolera, and Tamiru Chalchisa Geleto

Subjects
Ethiopia, fish production, income, propensity score matching, Finance, HG1-9999, Economic theory. Demography, HB1-3840
Abstract

Fish farming is a vital resource to fight poverty and food insecurity through the diversification of income sources. However, little has been investigated on its actual contributions to increase household income. This study envisages the impacts of fishing on the household income in Lume District, Ethiopian Rift valley. The quasi-experimental research design was used. Both qualitative and quantitative data were collected from both primary and secondary sources. Two-stage stratified sampling procedures were employed and about 374 sample households (about 202 non-fishing and 172 fishing households) were randomly selected. Structured interview schedules, key informant interviews, and focused group discussions were employed to collect the relevant data. Descriptive statistics (frequency, percentage, mean, and standard deviation) and the Propensity score matching method were employed to analyze the data. STATA V.13 software was used as an analytical tool. Fishing and non-fishing households had earned an annual income of about 36,914.85 and 31,768.43 Ethiopian Birr per year respectively. The model output reveals that the average treatment effect on the treated is about ETB 5146.42 and the mean difference in the average effect of the treatment on the treated between the matched treatment and control groups was found to be statistically significant at a 5% significance level. Overall, participation in fishing has generated about a 7.5% increase in farm annual income of treated households over control groups. It can be concluded that participation in fishing has brought a positive and significant impact on improving a household’s annual income status in the study area. Therefore, special attention should be given by governmental and non-governmental organizations to improve the fish and aquaculture sector in the area through the introduction and dissemination of innovations that can enhance fish productivity in the study area.

Published
2022
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36. Trends of intestinal parasites among the patients attended at Yabelo General Hospital, Borena Zone, Southern Ethiopia

Author

Alqeer Aliyo and Abdurahman Geleto

Subjects
Medicine (General), R5-920
Abstract

Objectives: Intestinal parasitic infections (IPIs) still cause a major public health problem in developing countries. The most affected populations are those with low socioeconomic status, lack of latrines, inadequate water supply, and poor hygiene like in pastoralist community areas in Ethiopia. Therefore, the study assessed the trends of intestinal parasites among the patients attended at Yabelo General Hospital, Southern Ethiopia, from 2019 to 2021. Methods: This retrospective study was conducted on 6108 patients and recorded data from Yabelo General Hospital, which were extracted using a checklist. The complete data of sex, age, and laboratory stool examination result in the record book were included in the study. The data were double-entered using EpiData version 3 and exported to the Statistical Package for Social Sciences version 16 for analysis. The associated factors were analyzed using chi-square and a p -value

Published
2022
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37. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Collaborators, GBD 2016 DALYs and HALE, Hay, Simon I, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adedeji, Isaac A, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Sutapa, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, AlMazroa, Mohammad AbdulAziz, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Althouse, Benjamin M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asgedom, Solomon W, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Awasthi, Shally, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Basu, Sanjay, Battista, Robert, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, and Beyene, Addisu Shunu

Subjects
Epidemiology, Public Health, Health Sciences, Clinical Research, Behavioral and Social Science, Social Determinants of Health, Prevention, Burden of Illness, 2.4 Surveillance and distribution, Good Health and Well Being, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Communicable Diseases, Persons with Disabilities, Female, Global Burden of Disease, Global Health, Humans, Life Expectancy, Male, Middle Aged, Noncommunicable Diseases, Quality-Adjusted Life Years, Residence Characteristics, Sex Distribution, Wounds and Injuries, GBD 2016 DALYs and HALE Collaborators, Disabled Persons, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

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

Published
2017

39. Contributors

Author

Aggrawal, Deepti, primary, Ahmad, Afaq, additional, Akiri, Sridhar, additional, Al Busaidi, Sayyid Samir, additional, Anand, Adarsh, additional, Arvindhan, M., additional, Baby Chithra, R., additional, Bale, Ajay Sudhir, additional, Barraza, Néstor, additional, Bavagosai, Pratima, additional, Bhardwaj, R.K., additional, Chatterjee, Jyotir Moy, additional, Choudhary, Nikesh, additional, Chowdhury, Arindam, additional, Dhanaraj, Rajesh Kumar, additional, Dhas, C. Suresh Gnana, additional, Dixit, Ashutosh, additional, Geleto, Tadele Degefa, additional, Goel, Vaneeta, additional, Hussain, Shaik Ashfaq, additional, Hussain, Shaik Mazhar, additional, Inoue, Shinji, additional, Johri, Prashant, additional, Kala, S., additional, Kamble, Swapnil, additional, Kanagasabai, Lenin, additional, Kanter, Gert, additional, Kaur, Jasmine, additional, Khaitan (nee Gupta), Vandana, additional, Kharchenko, Vyacheslav, additional, Khera, Neeraj, additional, Kousik, N.V., additional, Kumar, Abhishek, additional, Kumar, Avneesh, additional, Kumtekar, Rupesh, additional, Liibert, Marti Ingmar, additional, Mangat, Palwinder Kaur, additional, Minamino, Yuka, additional, Moreno, Verónica, additional, Morozova, Olga, additional, Munde, Anjali, additional, Muralidharan, K., additional, Naaz, Rohaila, additional, Nalesh, S., additional, Pai, Sunay P., additional, Payal, Manju, additional, Pena, Gabriel, additional, Ponochovnyi, Yuriy, additional, Prabhu Gaonkar, Rajesh S., additional, Pravesh, P., additional, Premalatha, J, additional, Rajasekar, Vani, additional, Rana, Muhammad Ehsan, additional, Rane, Suraj, additional, Rathore, Pramod Singh, additional, Saini, Dr. Kamaljit Singh, additional, Saini, Parvesh, additional, Saleh, Omar S., additional, Saravana Kumar, S., additional, Sasikala, P., additional, Saxena, Ashendra Kumar, additional, Sharma, Rajinder, additional, Singh, J.N., additional, Singh, Ravinder, additional, Sonker, Purnima, additional, Subbara, Pavan Kumar, additional, Tamura, Yoshinobu, additional, Tsiopoulos, Leonidas, additional, Vain, Jüri, additional, Varshney, Niharika, additional, Varun Yogi, S., additional, Vinay, N., additional, Vura, Swetha, additional, Yadav, Sudeept Singh, additional, Yadavalli, V.S.S, additional, Yamada, Shigeru, additional, Yusof, Kamaludin Mohamad, additional, and Yuvaraj, N., additional

Published
2022
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40. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Author

Lozano, 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, Mahdi, 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, Anwari, Palwasha, Appiah, Lambert Tetteh, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Monika, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Babalola, Tesleem Kayode, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banerjee, Amitava, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H, Barthelemy, Celine M, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Battista, Robert J, Baune, Bernhard T, Baynes, Habtamu Wondifraw, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Benzian, Habib, Berhane, Adugnaw, Berhe, Abadi Kidanemariam, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhalla, Ashish, Bhansali, Anil, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Biadgo, Belete, Biehl, Molly H, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Bisanzio, Donal, Biswas, Tuhin, Bitew, Helen, Bizuneh, Hailemichael, Bjertness, Espen, Bobasa, Eshetu Mulisa, Boufous, Soufiane, Bourne, Rupert, Bozorgmehr, Kayvan, Bragazzi, Nicola Luigi, Brainin, Michael, Brant, Luisa C, Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul Svitil, Britton, Gabrielle, Brugha, Traolach, Bukhman, Gene, Busse, Reinhard, Butt, Zahid A, Cahuana-Hurtado, Lucero, Callender, Charlton SKH, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Josip, Car, Mate, Cárdenas, Rosario, Carrero, Juan J, Carter, Austin, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castro, Franz, Causey, Kate, Çavlin, Alanur, Cercy, Kelly M, Cerin, Ester, Chaiah, Yazan, Chalek, Julian, Chang, Hsing-Yi, Chang, Jung-Chen, Chattopadhyay, Aparajita, Chattu, Vijay Kumar, Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chin, Ken Lee, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal, Choi, Jee-Young J, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J, Chung, Sheng-Chia, Cicuttini, Flavia M, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Claßen, Thomas Khaled Dwayne, Cohen, Aaron J, Collado-Mateo, Daniel, Cooper, Cyrus, Cooper, Leslie Trumbull, Cornaby, Leslie, Cortinovis, Monica, Costa, Megan, Cousin, Ewerton, Cromwell, Elizabeth A, Crowe, Christopher Stephen, 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, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davis, Adrian C, Davitoiu, Dragos Virgil, Davletov, Kairat, Dayama, Anand, de Courten, Barbora, De Leo, Diego, De Neve, Jan-Walter, De Steur, Hans, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta Tilahun, Deiparine, Selina, Dellavalle, Robert P, Demoz, Gebre Teklemariam, Demtsu, Balem, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Dessie, Getenet Ayalew, Dey, Subhojit, Dharmaratne, Samath D, Dhimal, Meghnath, Dicker, Daniel, Dinberu, Mesfin Tadese, Ding, Eric L, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Douwes-Schultz, Dirk, Driscoll, Tim Robert, Duan, Leilei, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B, Duraes, Andre R, Ebrahimpour, Soheil, Edvardsson, David, El Bcheraoui, Charbel, Eldrenkamp, Erika, El-Khatib, Ziad, Elyazar, Iqbal RF, Enayati, Ahmadali, Endries, Aman Yesuf, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Esteghamati, Sadaf, Estep, Kara, Fakhar, Mahdi, Fakhim, Hamed, Fanzo, Jessica, Faramarzi, Mahbobeh, Fareed, Mohammad, Farhadi, Farzaneh, Farid, Talha A, Farinha, Carla Sofia e Sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Farzam, Hossein, Fazaeli, Ali Akbar, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Fekadu, Wubalem, Feldman, Rachel, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C, Feyissa, Garumma Tolu, Fijabi, Daniel Obadare, Filip, Irina, Finegold, Samuel, Finger, Jonas David, Fischer, Florian, Fitzmaurice, Christina, Flor, Luisa Sorio, Foigt, Nataliya A, Foreman, Kyle J, Frank, Tahvi D, Franklin, Richard Charles, Fukumoto, Takeshi, Fukutaki, Kai, Fuller, John E, Fürst, Thomas, Furtado, João M, Gakidou, Emmanuela, Gallus, Silvano, Gankpe, Fortune Gbetoho, Gansevoort, Ron T, Garcia, Ana Cristina, Garcia-Basteiro, Alberto L, Garcia-Gordillo, Miguel A, Gardner, William M, Gebre, Abadi Kahsu, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gebremichael, Bereket, Gebremichael, Teklu Gebrehiwo, Gelano, Tilayie Feto, Geleijnse, Johanna M, Geramo, Yilma Chisha Dea, Getachew, Sefonias, Gething, Peter W, Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadimi, Reza, Ghadiri, Keyghobad, Ghasemi-Kasman, Maryam, Ghiasvand, Hesam, Ghimire, Mamata, Ghoshal, Aloke Gopal, Giampaoli, Simona, Gill, Paramjit Singh, Gill, Tiffany K, Giussani, Giorgia, Gnedovskaya, Elena V, Goldberg, Ellen M, Goli, Srinivas, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Gorman, Taren M, Goto, Atsushi, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Griswold, Max G, Grosso, Giuseppe, Gugnani, Harish Chander C, Guillemin, Francis, Guimaraes, Andre Luiz Sena, Guo, Yuming, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Ha, Giang Hai, Haagsma, Juanita A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Haghparast Bidgoli, Hassan, Hagos, Tekleberhan B, Haile, Michael Tamene, Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Hankey, Graeme J, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Haririan, Hamidreza, Haro, Josep Maria, Hasan, Mehedi, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawley, Caitlin N, Hay, Simon I, He, Yihua, Hedayatizadeh-Omran, Akbar, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Behnam, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Behzad, Heydarpour, Fatemeh, Heydarpour, Sousan, Hibstu, Desalegn T, Híjar, Martha, Hoek, Hans W, Hoffman, Daniel J, Hole, Michael K, Homaie Rad, Enayatollah, Hoogar, Praveen, Horita, Nobuyuki, Hosgood, H Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Hsairi, Mohamed, Hsiao, Thomas, Hu, Guoqing, Huang, John J, Hughes, Caitlyn, Huynh, Chantal K, Igumbor, Ehimario U, Ikeda, Chad Thomas, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Ivers, Rebecca Q, Izadi, Neda, Jacobsen, Kathryn H, Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, Jalu, Moti Tolera, Jamal, Amr A, James, Spencer L, Jassal, Simerjot K, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Johnson, Catherine O, Johnson, Sarah C, Jonas, Jost B, Jonnagaddala, Jitendra, Jorjoran Shushtari, Zahra, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, K, Madhanraj, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kahssay, Molla, Kalani, Rizwan, Kapil, Umesh, Karami, Manoochehr, Karami Matin, Behzad, Karanikolos, Marina, Karimi, Narges, Karimi, Seyed M, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Dessalegn H, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kassebaum, Nicholas J, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazemi, Zhila, Karyani, Ali Kazemi, Kazi, Dhruv Satish, KC, Prakash, Kebede, Seifu, Keiyoro, Peter Njenga, Kemmer, Laura, 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, Khanna, Tripti, Khater, Mona M, Khatony, Alireza, Khazaeipour, Zahra, Khazaie, Habibolah, Khoja, Abdullah T, Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Aliasghar A, Kiarie, Helen W, Kibret, Getiye D, Kiirithio, Daniel N, Kim, Daniel, Kim, Jun Y, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W, Kinfu, Yohannes, Kinra, Sanjay, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kissoon, Niranjan, Kivimäki, Mika, Kocarnik, Jonathan M, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A, Kosek, Margaret N, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krohn, Kristopher J, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kudom, Andreas A, Kulikoff, Xie Rachel, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kutz, Michael J, Kyu, Hmwe Hmwe, Lachat, Carl, Lad, Deepesh P, Lad, Sheetal D, Lafranconi, Alessandra, Lagat, Abraham K, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lami, Faris Hasan, Lamichhane, Prabhat, Lan, Qing, Lang, Justin J, Lansingh, Van C, Lansky, Sonia, Larson, Heidi J, Larsson, Anders O, Laryea, Dennis Odai, Lassi, Zohra S, Latifi, Arman, Lau, Kathryn Mei-Ming, Laxmaiah, Avula, Lazarus, Jeffrey V, Leasher, Janet L, Lebedev, Georgy, Ledesma, Jorge R, Lee, James B, Lee, Paul H, Leever, Andrew T, Leigh, James, Leinsalu, Mall, Leshargie, Cheru Tesema, Leung, Janni, Lewycka, Sonia, Li, Shanshan, Li, Xiaohong, Li, Yichong, Liang, Juan, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Lee-Ling, Limenih, Miteku Andualem, Linn, Shai, Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lucchesi, Lydia R, Lyons, Ronan A, Macarayan, Erlyn Rachelle King, Mackay, Mark T, Maddison, Emilie R, Madotto, Fabiana, Maghavani, Dhaval P, Magis-Rodriguez, Carlos, Mahotra, Narayan Bahadur, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Mamun, Abdullah A, Manda, Ana-Laura, Mandarano-Filho, Luiz Garcia, Mangalam, Srikanth, Manguerra, Helena, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Maravilla, Joemer C, Marcenes, Wagner, Marks, Ashley, Martin, Randall V, Martins, Sheila C O, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, Mashamba-Thompson, Tivani Phosa, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Maulik, Pallab K, Mazidi, Mohsen, McAlinden, Colm, McGrath, John J, McKee, Martin, McMahon, Brian J, Mehata, Suresh, Mehndiratta, Man Mohan, Mehrotra, Ravi, Mehta, Kala M, Mehta, Varshil, Mejia-Rodriguez, Fabiola, Mekonen, Tesfa, Mekonnen, Tefera C Chane, Meles, Hagazi Gebre, Melese, Addisu, Melku, Mulugeta, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A, Mensink, Gert B M, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Mezgebe, Haftay Berhane, Miazgowski, Bartosz, Miazgowski, Tomasz, Millear, Anoushka I, Miller, Ted R, Miller-Petrie, Molly Katherine, Milne, George J, Mini, G K, Minnig, Shawn P, Mirabi, Parvaneh, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke Temesgen, Mitchell, Philip B, Moazen, Babak, Moghadamnia, Ali Akbar, Mohajer, Bahram, Mohammad, Karzan Abdulmuhsin, Mohammadi, Moslem, Mohammadifard, Noushin, Mohammadnia-Afrouzi, Mousa, Mohammed, Mohammed A, Mohammed, Shafiu, Mohan, Murali B V, Mohan, Viswanathan, Mohebi, Farnam, Moitra, Modhurima, 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, Morgado-da-Costa, Joana, Morisaki, Naho, Morrison, Shane Douglas, Mosapour, Abbas, Moschos, Marilita M, Mountjoy-Venning, W Cliff, Mouodi, Simin, Mousavi, Seyyed Meysam, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Muhammed, Oumer Sada S, Mukhopadhyay, Satinath, Mullany, Erin C, Muller, Kate, Mumford, John Everett, Murhekar, Manoj, Murthy, G V S, Murthy, Srinivas, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nabhan, Ashraf F, Nachega, Jean B, Nagarajan, Ahamarshan Jayaraman, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naidoo, Kovin, Naik, Gurudatta, Naik, Nitish, Najafi, Farid, Naldi, Luigi, Nam, Hae Sung, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Nawaz, Haseeb, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Subas, Newton, Charles Richard James, Ngalesoni, Frida N, Ngunjiri, Josephine W, Nguyen, Anh, Nguyen, Grant, Nguyen, Ha, Nguyen, Huong Lan Thi, Nguyen, Huong Thanh, Nguyen, Minh, Nichols, Emma, Nigatu, Solomon Gedlu, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nisar, Muhammad Imran, Nixon, Molly R, Nolutshungu, Nomonde, Nomura, Marika, Norheim, Ole F, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacques, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nyasulu, Peter S, Obermeyer, Carla Makhlouf, Ofori-Asenso, Richard, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Kelechi E, 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, Oommen, Anu Mary, Opio, John Nelson, Oren, Eyal, Oros, Andrei, Ortega-Altamirano, Doris D V, Ortiz, Alberto, Ortiz, Justin R, Ortiz-Panozo, Eduardo, Ota, Erika, Otstavnov, Stanislav S, Owolabi, Mayowa Ojo, P A, Mahesh, Pakhale, Smita, Pakhare, Abhijit P, Pan, Wen-Harn, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Pandian, Jeyaraj Durai, Papantoniou, Nikolaos, Park, Eun-Kee, Parry, Charles D H, Parsian, Hadi, Patel, Shanti, Pati, Sanghamitra, Patle, Ajay, Patton, George C, Paturi, Vishnupriya Rao, Paudel, Deepak, Paulson, Katherine R, Pearce, Neil, Peprah, Emmanuel K, Pereira, David M, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Petri, William A, Petzold, Max, Phillips, Michael R, Pigott, David M, Pillay, Julian David, Pirsaheb, Meghdad, Pletcher, Martin, Pond, Constance Dimity, Postma, Maarten J, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, Swayam, Prasad, Narayan, Purcell, Caroline A, Pyakurel, Manita, Qorbani, Mostafa, Quansah, Reginald, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Md Shafiur, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Rajsic, Sasa, Ram, Usha, Rana, Saleem M, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Razo-García, Christian, Reddy, K Srinath, Reiner, Robert C, Reis, Cesar, Reitsma, Marissa B, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Reynales-Shigematsu, Luz Myriam, 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, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A, Roy, Ambuj, Rubagotti, Enrico, Ruhago, George Mugambage, Sabde, Yogesh Damodar, Sachdev, Perminder S, Saddik, Basema, Sadeghi, Ehsan, Safari, 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2018
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41. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

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Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, 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, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, 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, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, 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, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asadi-Lari, Mohsen, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Ataro, Zerihun, Atey, Tesfay Mehari Mehari, Athari, Seyyed Shamsadin, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Attia, Engi F, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Awuah, Baffour, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barquera, Simon, Barrero, Lope H, Basaleem, Huda, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Ezra, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, 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Gupta, Rajat, das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, Dayama, Anand, Courten, Barbora de, De la Hoz, Fernando Pio, De leo, Diego, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta T, Deiparine, Selina, Dellavalle, Robert P, Demoz, Gebre Teklemariam, Demtsu, Balem Betsu, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Dessie, Getenet Ayalew, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Ding, Eric L, Djalalinia, Shirin, Doku, David Teye, Dolan, Kate A, Donnelly, Christl A, Dorsey, E Ray, Douwes-Schultz, Dirk, Doyle, Kerrie E, Drake, Thomas M, Driscoll, Tim Robert, 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, El Sayed Zaki, Maysaa, Elfaramawi, Mohammed, El-Khatib, Ziad, Ellingsen, Christian Lycke, Elyazar, Iqbal R F, Enayati, Ahmadali, Endries, Aman Yesuf Yesuf, Er, Benjamin, Ermakov, Sergey Petrovich, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeili, Reza, Esteghamati, Alireza, Esteghamati, Sadaf, Fakhar, Mahdi, Fakhim, Hamed, Farag, Tamer, Faramarzi, Mahbobeh, Fareed, Mohammad, Farhadi, Farzaneh, Farid, Talha A, Farinha, Carla Sofia e Sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Feizy, Fariba, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C, Feyissa, Garumma Tolu, Fijabi, Daniel Obadare, Filip, Irina, Finegold, Samuel, Fischer, Florian, Flor, Luisa Sorio, Foigt, Nataliya A, Ford, John A, Foreman, Kyle J, Fornari, Carla, Frank, Tahvi D, Franklin, Richard Charles, Fukumoto, Takeshi, Fuller, John E, Fullman, Nancy, Fürst, Thomas, Furtado, João M, Futran, Neal D, Galan, Adriana, Gallus, Silvano, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpe, Fortune Gbetoho, Garcia-Basteiro, Alberto L, Garcia-Gordillo, Miguel A, Gebre, Teshome, Gebre, Abadi Kahsu, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gelano, Tilayie Feto, Gelaw, Yalemzewod Assefa, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gessner, Bradford D, Getachew, Sefonias, Gething, Peter W, Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadimi, Reza, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghiasvand, Hesam, Ghimire, Mamata, Ghoshal, Aloke Gopal, Gill, Paramjit Singh, Gill, Tiffany K, Gillum, Richard F, Giussani, Giorgia, Goenka, Shifalika, Goli, Srinivas, Gomez, Ricardo Santiago, Gomez-Cabrera, Mari Carmen, Gómez-Dantés, Hector, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Grosso, Giuseppe, Gugnani, Harish Chander, Guimaraes, Andre Luiz Sena, Guo, Yuming, Gupta, 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Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Husseini, Abdullatif, Hussen, Mohammedaman Mama, Hutfless, Susan, Iburg, Kim Moesgaard, Igumbor, Ehimario U, Ikeda, Chad Thomas, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Isehunwa, Oluwaseyi Oluwakemi, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jahangiry, Leila, Jahanmehr, Nader, Jain, Rajesh, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L, Javanbakht, Mehdi, Jayaraman, Sudha, Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Johnson, Sarah Charlotte, Jonas, Jost B, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, K, Madhanraj, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kahssay, Molla, Kalani, Rizwan, Kapil, Umesh, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narges, Karimi, Seyed M, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Getachew Mullu, Kassa, 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2018
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42. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

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Stanaway, Jeffrey D, Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S, Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adane, Akilew Awoke, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Admasie, Amha, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Agarwal, Gina, Aggarwal, Anju, Aghayan, Sargis Aghasi, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Alahdab, Fares, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Ali, Komal, Ali, Syed Mustafa, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avokpaho, Euripide F G A, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Ball, Kylie, Ballew, Shoshana H, Banach, Maciej, Banoub, Joseph Adel Mattar, Barac, Aleksandra, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H, Basu, Sanjay, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Bekru, Eyasu Tamru, Belay, Ezra, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Bergeron, Gilles, Berhane, Adugnaw, Bernabe, Eduardo, Bernstein, Robert S, Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhalla, Ashish, Bhattarai, Suraj, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Biswas, Tuhin, Bjørge, Tone, Blacker, Brigette F, Bleyer, Archie, Borschmann, Rohan, Bou-Orm, Ibrahim R, Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J, Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brugha, Traolach, Buchbinder, Rachelle, Burnett, Richard T, Busse, Reinhard, Butt, Zahid A, Cahill, Leah E, Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael R, Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Causey, Kate, Cercy, Kelly M, Cerin, Ester, Chaiah, Yazan, Chang, Hsing-Yi, Chang, Jung-Chen, Chang, Kai-Lan, Charlson, Fiona J, Chattopadhyay, Aparajita, Chattu, Vijay Kumar, Chee, Miao Li, Cheng, Ching-Yu, Chew, Adrienne, Chiang, Peggy Pei-Chia, Chimed-Ochir, Odgerel, Chin, Ken Lee, Chitheer, Abdulaal, Choi, Jee-Young J, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J, Chung, Sheng-Chia, Cicuttini, Flavia M, Cirillo, Massimo, Cohen, Aaron J, Collado-Mateo, Daniel, Cooper, Cyrus, Cooper, Owen R, Coresh, Josef, Cornaby, Leslie, Cortesi, Paolo Angelo, Cortinovis, Monica, Costa, Megan, Cousin, Ewerton, Criqui, Michael H, Cromwell, Elizabeth A, Cundiff, David K, Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dadi, Abel Fekadu, Damasceno, Albertino Antonio Moura, Dandona, Lalit, Dandona, Rakhi, Darby, Sarah C, Dargan, Paul I, Daryani, Ahmad, Das Gupta, Rajat, Das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davitoiu, Dragos Virgil, Davletov, Kairat, De la Cruz-Góngora, Vanessa, De La Hoz, Fernando Pio, De Leo, Diego, De Neve, Jan-Walter, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P, Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Deshpande, Aniruddha, Des Jarlais, Don C, Dessie, Getenet Ayalew, Deveber, Gabrielle Aline, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dinberu, Mesfin Tadese, Ding, Eric L, Diro, Helen Derara, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Doyle, Kerrie E, Driscoll, Tim R, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B, Duraes, Andre R, Ebert, Natalie, Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edvardsson, David, Effiong, Andem, Eggen, Anne Elise, El Bcheraoui, Charbel, El-Khatib, Ziad, Elyazar, Iqbal Rf, Enayati, Ahmadali, Endries, Aman Yesuf, Er, Benjamin, Erskine, Holly E, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fakhim, Hamed, Faramarzi, Mahbobeh, Fareed, Mohammad, Farid, Talha A, Farinha, Carla Sofia E sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S, Farzaei, Mohammad Hosein, Fatima, Batool, Fay, Kairsten A, Fazaeli, Ali Akbar, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C, Ferrara, Giannina, Ferrari, Alize J, Ferreira, Manuela L, Filip, Irina, Finger, Jonas David, Fischer, Florian, Foigt, Nataliya A, Foreman, Kyle J, Fukumoto, Takeshi, Fullman, Nancy, Fürst, Thomas, Furtado, João M, Futran, Neal D, Gall, Seana, Gallus, Silvano, Gamkrelidze, Amiran, Ganji, Morsaleh, Garcia-Basteiro, Alberto L, Gardner, William M, Gebre, Abadi Kahsu, Gebremedhin, Amanuel Tesfay, Gebremichael, Teklu Gebrehiwo, Gelano, Tilayie Feto, Geleijnse, Johanna M, Geramo, Yilma Chisha Dea, Gething, Peter W, Gezae, Kebede Embaye, Ghadimi, Reza, Ghadiri, Keyghobad, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghimire, Mamata, Ghosh, Rakesh, Ghoshal, Aloke Gopal, Giampaoli, Simona, Gill, Paramjit Singh, Gill, Tiffany K, Gillum, Richard F, Ginawi, Ibrahim Abdelmageed, Giussani, Giorgia, Gnedovskaya, Elena V, Godwin, William W, Goli, Srinivas, Gómez-Dantés, Hector, Gona, Philimon N, Gopalani, Sameer Vali, Goulart, Alessandra C, Grada, Ayman, Grams, Morgan E, Grosso, Giuseppe, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gutiérrez, Reyna Alma, Gutiérrez-Torres, Daniela S, Haagsma, Juanita A, Habtewold, Tesfa Dejenie, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B, Hailegiyorgis, Tewodros Tesfa, 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, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawley, Caitlin N, Hay, Simon I, Hedayatizadeh-Omran, Akbar, Heibati, Behzad, Heidari, Behnam, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Sousan, Hibstu, Desalegn T, Higazi, Tarig B, Hilawe, Esayas Haregot, 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, Hoy, Damian G, Hsairi, Mohamed, Hsiao, Thomas, Hu, Guoqing, Hu, Howard, Huang, John J, Hussen, Mamusha Aman, Huynh, Chantal K, Iburg, Kim Moesgaard, Ikeda, Nayu, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, 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2018
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43. 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

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Roth, Gregory A, 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, 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 M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adib, Mina G, Admasie, Amha, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Ausloos, Marcel, Avokpaho, Euripide F G A, Awasthi, Ashish, Quintanilla, 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 Lyn, Bärnighausen, Till Winfried, Barquera, Simon, Barrero, Lope H, Bassat, Quique, Basu, Sanjay, Baune, Bernhard T, Baynes, Habtamu Wondifraw, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Ezra, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Beyranvand, Tina, Bhalla, Ashish, Bhattarai, Suraj, Bhaumik, Soumyadeeep, Bhutta, Zulfiqar A, Biadgo, Belete, Biehl, Molly H, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Biswas, Tuhin, Blacker, Brigette 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, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Mate, Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J, Carter, Austin, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castle, Chris D, Castro, Clara, Castro, Franz, Catalá-López, Ferrán, Cerin, Ester, Chaiah, Yazan, Chang, Jung-Chen, Charlson, Fiona J, Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J, Chung, 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, Gupta, Rajat Das, Neves, José Das, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davis, Adrian C, Davis Weaver, Nicole, 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, Balem Betsu, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Dessie, Getenet Ayalew, Dey, Subhojit, Dharmaratne, Samath D, Dicker, Daniel, Dinberu, Mesfin Tadese, Ding, Eric L, Dirac, M Ashworth, Djalalinia, Shirin, Dokova, Klara, Doku, David Teye, 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, 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Anna E, Tortajada-Girbés, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Tran, Khanh Bao, Tripathi, Suryakant, Troeger, Christopher E, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tsoi, Derrick, Tudor Car, Lorainne, Tuzcu, E Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley N, Ullah, Irfan, Undurraga, Eduardo A, Updike, Rachel L, Usman, Muhammad Shariq, Uthman, Olalekan A, Uzun, Selen Begüm, 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 Emil, Vos, Theo, Wagner, Gregory R, Wagnew, Fasil Shiferaw, Waheed, Yasir, Wallin, Mitchell Taylor, Walson, Judd L, Wang, Yanping, Wang, Yuan-Pang, Wassie, Molla Mesele, Weiderpass, Elisabete, Weintraub, Robert G, Weldegebreal, Fitsum, 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, Yahyazadeh Jabbari, Seyed Hossein, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Yentür, Gökalp 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, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeleke, Ayalew Jejaw, Zenebe, Zerihun Menlkalew, Zhang, Anthony Lin, Zhang, Kai, Zhou, Maigeng, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Naghavi, Mohsen, and Murray, Christopher J L

Published
2018
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44. Determinants of Early Mortality Among Deaths at Adult Emergency Departments in Southern Ethiopia.

Author

Gobena, Gelane Geleto, Tadesse, Fikru, Beyene, Bereket, Yeheyis, Tomas, Jemebere, Wegene, Chekol, Aklile Tsega, Borie, Yacob Abraham, Molla, Ezedin, Reta, Yared, Wale, Mastewal Aschale, Mekonen, Zelalem, Tunushe, Yunuka Marufa, Feleke, Beyene, and Aynalem, Amdehiwot

Subjects
*STATISTICAL sampling, *LOGISTIC regression analysis, *COMORBIDITY, *EARLY death, *PUBLIC hospitals
Abstract

In Ethiopia, the first 3 days (72 h) after admission to the emergency department (ED) account for more than half (59.8%) of all deaths. However, little is known about the prevalence of early mortality and its associated factors in southern Ethiopia. The main objective of this study is to assess the prevalence and associated factors of early mortality among deaths in adult EDs at selected public hospitals in Hawassa, southern Ethiopia. An institutional-based retrospective cross-sectional study design was applied. A systematic random sampling technique was used to select 369 charts of patients who died in the adult EDs of selected public hospitals in the past 2 years. The data were collected using a standardized and pretested data abstraction tool using the Kobo Toolbox data collection tool. Logistic regression analyses were carried out to assess the strength of the association. Statistical significance was declared at p -value < 0.05, and an adjusted odds ratio (AOR) with a 95% confidence interval was used to report the strength of the association. According to the results of the current study, 288 patients, or 78% of the total, passed away within 72 h of admission to the ED. The following variables were significantly associated with early mortality: delayed initial intervention (AOR 2.338), red triage categories (AOR 3.9), lack of investigation (AOR 3.4), comorbid illness (AOR 3.2), absence of prehospital treatment (AOR 4.2), and road traffic accidents (AOR 4.1). There was an increased early mortality rate seen in this investigation. The following factors were significantly associated with an early death in the ED: comorbidity, delayed intervention, red warning score, road traffic accidents, absence of prehospital treatment, and lack of diagnostic testing. By addressing the variables that are strongly linked to an early mortality, every intervention should be undertaken to reduce the risk of an early death. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Worldwide Wellness of Mothers and Babies (WWOMB): program overview and lessons learned from Ethiopia.

Author

Harris, Melissa L., Loxton, Deborah, Hassen, Tahir Ahmed, Shifti, Desalegn M., Beyene, Tesfalidet, Feyissa, Tesfaye R., Bizuayehu, Habtamu M., Musa, Abdulbasit, Tegegne, Teketo K., Tiruye, Tenaw Y., Beyene, Addisu S., Melka, Alemu S., Geleto, Ayele, Tesfaye, Gezahegn, Kiross, Girmay T., Kibret, Kelemu T., Meazaw, Maereg W., and Chojenta, Catherine

Subjects
MATERNAL health services, UNPLANNED pregnancy, PUBLIC health infrastructure, CHILD nutrition, REPRODUCTIVE health services, NEONATAL mortality
Abstract

Background: Despite the progress made in improving maternal and child health in Ethiopia, it still has one of the highest maternal and neonatal mortality rates in the world. This is largely due to inadequate healthcare infrastructure and a lack of comprehensive evidence-based maternal and reproductive health services. To achieve the Sustainable Development Goal targets related to maternal and child health, it is essential to conduct culturally sensitive and policy-relevant research to identify areas for improvement. Methods: To address these issues, through The University of Newcastle's increased global focus and investment into funding international research higher degrees, we developed a program on the Worldwide Wellness of Mothers and Babies (WWOMB) and trained Doctor of Philosophy students who conducted cross-cutting research across the reproductive life course. Importantly, the program aimed to bridge the inequality gaps in maternal and child health whilst cultivating a new generation of research leaders in low- and middle-income countries such as Ethiopia. Results: The WWOMB program has successfully generated a substantial body of epidemiological research in Ethiopia, covering five major themes: family planning and contraception, maternal and child health service utilisation, maternal and child health outcomes, maternal and child nutrition, and health economics. The key findings of the studies conducted in Ethiopia have demonstrated geographical disparities in the use of modern contraception and maternal health service utilisation, high incidence of severe maternal outcomes and neonatal near misses, high prevalence of intimate partner violence during pregnancy and its significant impact on adverse pregnancy outcomes, and the presence of economic disparities in maternal and child health, particularly around service delivery and availability. Conclusions: Investment in healthcare infrastructure and services, coupled with efforts to reduce economic inequalities, can contribute to improved maternal and child health in Ethiopia. The WWOMB project has focused on delivering evidence-based recommendations for policy and practice that could accelerate the country's progress towards achieving Sustainable Development Goal targets related to maternal and child health. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17

Author

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, Costa, Vera Marisa, Culquichicon, Carlos, Daba, Matiwos Soboka, Damiani, Giovanni, Sr, Dandona, Lalit, Dandona, Rakhi, Dang, Anh Kim, Darwesh, Aso Mohammad, Darwish, Amira Hamed, Daryani, Ahmad, Sr, Das, Jai K, Das Gupta, Rajat, Dash, Aditya Prasad, Davey, Gail, Dávila-Cervantes, Claudio Alberto, Davis, Adrian C, Sr, Davitoiu, Dragos Virgil, De la Hoz, Fernando Pio, Demis, Asmamaw Bizuneh, Demissie, Dereje Bayissa, Demissie, Getu Debalkie, Demoz, Gebre Teklemariam, Sr, Denova-Gutiérrez, Edgar, Sr, Deribe, Kebede, Sr, Desalew, Assefa, Deshpande, Aniruddha, Dharmaratne, Samath Dhamminda, Dhillon, Preeti, Dhimal, Meghnath, Dhungana, Govinda Prasad, Diaz, Daniel, Sr, Dipeolu, Isaac Oluwafemi, Djalalinia, Shirin, Doyle, Kerrie E, Dubljanin, Eleonora, Duko, Bereket, Duraes, Andre Rodrigues, Ebrahimi Kalan, Mohammad, Edinur, Hisham Atan, Sr, Effiong, Andem, Sr, Eftekhari, Aziz, El Nahas, Nevine, El Sayed, Iman, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elema I, Teshome Bekele, Elhabashy, Hala Rashad, Sr, El-Jaafary, Shaimaa I, Elkout, Hajer, Elsharkawy, Aisha, Elyazar, Iqbal RF, Endalamaw, Aklilu, Endalew, Daniel Adane, Sr, Eskandarieh, Sharareh, Esteghamati, Alireza, Esteghamati, Sadaf, Sr, Etemadi, Arash, Ezekannagha, Oluchi, Fareed, Mohammad, Faridnia, Roghiyeh, Farzadfar, Farshad, Fazlzadeh, Mehdi, Feigin, Valery L, Sr, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Sr, Foroutan, Masoud, Franklin, Richard Charles, Fukumoto, Takeshi, Gad, Mohamed M, Gayesa, Reta Tsegaye, Gebre, Teshome, Sr, Gebremedhin, Ketema Bizuwork, Gebremeskel, Gebreamlak Gebremedhn, Sr, Gesesew, Hailay Abrha, Gezae, Kebede Embaye, Ghadiri, Keyghobad, Sr, Ghashghaee, Ahmad, Ghimire, Pramesh Raj, Sr, Gill, Paramjit Singh, Sr, Gill, Tiffany K, Ginindza, Themba G G, Gomes, Nelson G M, Gopalani, Sameer Vali, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Gubari, Mohammed Ibrahim Mohialdeen, 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

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2020
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48. 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

Reiner, Robert C, Jr, Wiens, Kirsten E, Deshpande, Aniruddha, Baumann, Mathew M, Lindstedt, Paulina A, Blacker, Brigette F, Troeger, Christopher E, Earl, Lucas, Munro, Sandra B, Abate, Degu, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Getaneh, Abegaz, Kedir Hussein, Abreu, Lucas Guimarães, Abrigo, Michael R M, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Afarideh, Mohsen, Ahmadi, Keivan, Ahmadi, Mehdi, Ahmed, Anwar E, Ahmed, Muktar Beshir, Ahmed, Rushdia, Ajumobi, Olufemi, Akal, Chalachew Genet, Akalu, Temesgen Yihunie, Akanda, Ali S, Alamene, Genet Melak, Alanzi, Turki M, Albright, James R, Alcalde Rabanal, Jacqueline Elizabeth, Alemnew, Birhan Tamene, Alemu, Zewdie Aderaw, Ali, Beriwan Abdulqadir, Ali, Muhammad, Alijanzadeh, Mehran, Alipour, Vahid, Aljunid, Syed Mohamed, Almasi, Ali, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Amare, Azmeraw T, Amini, Saeed, Amit, Arianna Maever Loreche, Andrei, Catalina Liliana, Anegago, Masresha Tessema, Anjomshoa, Mina, Ansari, Fereshteh, Antonio, Carl Abelardo T, Antriyandarti, Ernoiz, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Armoon, Bahram, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Lari, Mohsen, Ashagre, Alebachew Fasil, Atalay, Hagos Tasew, Atique, Suleman, Atre, Sachin R, Ausloos, Marcel, Avila-Burgos, Leticia, Awasthi, Ashish, Awoke, Nefsu, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Ayele, Asnakew Achaw, Aynalem, Yared A Asmare, Azari, Samad, Babaee, Ebrahim, Badawi, Alaa, Bakkannavar, Shankar M, Balakrishnan, Senthilkumar, Bali, Ayele Geleto, Banach, Maciej, Barac, Aleksandra, Bärnighausen, Till Winfried, Basaleem, Huda, Bassat, Quique, Bayati, Mohsen, Bedi, Neeraj, Behzadifar, Masoud, Behzadifar, Meysam, Bekele, Yibeltal Alemu, Bell, Michelle L, Bennett, Derrick A, Berbada, Dessalegn Ajema, Beyranvand, Tina, Bhat, Anusha Ganapati, Bhattacharyya, Krittika, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bijani, Ali, Bikbov, Boris, Biswas, Raaj Kishore, Bogale, Kassawmar Angaw, Bohlouli, Somayeh, Brady, Oliver J, Bragazzi, Nicola Luigi, Briko, Nikolay Ivanovich, Briko, Andrey Nikolaevich, Burugina Nagaraja, Sharath, Butt, Zahid A, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cárdenas, Rosario, Carvalho, Félix, Castro, Franz, Chansa, Collins, Chatterjee, Pranab, Chattu, Vijay Kumar, Chauhan, Bal Govind, Chin, Ken Lee, Christopher, Devasahayam J, Chu, Dinh-Toi, Claro, Rafael M, Cormier, Natalie M, Costa, Vera M, Damiani, Giovanni, Daoud, Farah, Dandona, Lalit, Dandona, Rakhi, Darwish, Amira Hamed, Daryani, Ahmad, Das, Jai K, Das Gupta, Rajat, Dasa, Tamirat Tesfaye, Davila, Claudio Alberto, Davis Weaver, Nicole, Davitoiu, Dragos Virgil, De Neve, Jan-Walter, Demeke, Feleke Mekonnen, Demis, Asmamaw Bizuneh, Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Desalew, Assefa, Dessie, Getenet Ayalew, Dharmaratne, Samath Dhamminda, Dhillon, Preeti, Dhimal, Meghnath, Dhungana, Govinda Prasad, Diaz, Daniel, Ding, Eric L, Diro, Helen Derara, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Dolecek, Christiane, Dubey, Manisha, Dubljanin, Eleonora, Duko Adema, Bereket, Dunachie, Susanna J, Durães, Andre R, Duraisamy, Senbagam, Effiong, Andem, Eftekhari, Aziz, El Sayed, Iman, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elemineh, Demelash Abewa, El-Jaafary, Shaimaa I, Elkout, Hajer, Elsharkawy, Aisha, Enany, Shymaa, Endalamfaw, Aklilu, Endalew, Daniel Adane, Eskandarieh, Sharareh, Esteghamati, Alireza, Etemadi, Arash, Farag, Tamer H, Faraon, Emerito Jose A, Fareed, Mohammad, Faridnia, Roghiyeh, Farioli, Andrea, Faro, Andre, Farzam, Hossein, Fazaeli, Ali Akbar, Fazlzadeh, Mehdi, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Francis, Joel Msafiri, Franklin, Richard Charles, Frostad, Joseph Jon, Fukumoto, Takeshi, Gayesa, Reta Tsegaye, Gebremariam, Kidane Tadesse, Gebremedhin, Ketema Bizuwork Bizuwork, Gebremeskel, Gebreamlak Gebremedhn, Gedefaw, Getnet Azeze, Geramo, Yilma Chisha Dea, Geta, Birhanu, Gezae, Kebede Embaye, Ghashghaee, Ahmad, Ghassemi, Fariba, Gill, Paramjit Singh, Ginawi, Ibrahim Abdelmageed, Goli, Srinivas, Gomes, Nelson G M, Gopalani, Sameer Vali, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Gugnani, Harish Chander, Guido, Davide, Guimares, Rafael Alves, Guo, Yuming, Gupta, Rajeev, Gupta, Rahul, Hafezi-Nejad, Nima, Haile, Michael Tamene, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hall, Brian James, Handiso, Demelash Woldeyohannes, Haririan, Hamidreza, Hariyani, Ninuk, Hasaballah, Ahmed I, Hasan, Md. Mehedi, Hasanzadeh, Amir, Hassankhani, Hadi, Hassen, Hamid Yimam, Hayelom, Desta Haftu, Heidari, Behnam, Henry, Nathaniel J, Herteliu, Claudiu, Heydarpour, Fatemeh, Hidru, Hagos D de, Hoang, Chi Linh, Hoogar, Praveen, Hoseini-Ghahfarokhi, Mojtaba, Hossain, Naznin, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Househ, Mowafa, Hu, Guoqing, Humayun, Ayesha, Hussain, Syed Ather, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Milena D, Inbaraj, Leeberk Raja, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Iwu, Chinwe Juliana, Jaca, Anelisa, Jafari Balalami, Nader, Jahanmehr, Nader, Jakovljevic, Mihajlo, Jalali, Amir, Jayatilleke, Achala Upendra, Jenabi, Ensiyeh, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jia, Peng, Johnson, Kimberly B, Jonas, Jost B, Jozwiak, Jacek Jerzy, Kabir, Ali, Kabir, Zubair, Kahsay, Amaha, Kalani, Hamed, Kanchan, Tanuj, Karami Matin, Behzad, Karch, André, Karki, Surendra, Kasaeian, Amir, Kasahun, Gebremicheal Gebreslassie, Kayode, Gbenga A, Kazemi Karyani, Ali, Keiyoro, Peter Njenga, Ketema, Daniel Bekele, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalid, Nauman, Khalil, Ali Talha, Khalil, Ibrahim, Khalilov, Rovshan, Khan, Md Nuruzzaman, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Junaid, Khatab, Khaled, Khater, Amir, Khater, Mona M, Khatony, Alireza, Khayamzadeh, Maryam, Khazaei, Mohammad, Khazaei, Salman, Khodamoradi, Ehsan, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Aliasghar A, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Sezer, Kisa, Adnan, Kissoon, Niranjan, Kondlahalli, Shivakumar KM KM M, Kosek, Margaret N, Koyanagi, Ai, Kraemer, Moritz U G, Krishan, Kewal, Kugbey, Nuworza, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kusuma, Dian, La Vecchia, Carlo, Lacey, Ben, Lal, Aparna, Lal, Dharmesh Kumar, Lami, Faris Hasan, Lansingh, Van C, Lasrado, Savita, Lee, Paul H, Leili, Mostafa, Lenjebo, Tsegaye Tsegaye Lolaso Lolaso, Levine, Aubrey J, Lewycka, Sonia, Li, Shanshan, Linn, Shai, Lodha, Rakesh, Longbottom, Joshua, Lopukhov, Platon D, Magdeldin, Sameh, Mahasha, Phetole Walter, Mahotra, Narayan Bahadur, Malta, Deborah Carvalho, Mamun, Abdullah A, Manafi, Navid, Manafi, Farzad, Manda, Ana-Laura, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Marami, Dadi, Marczak, Laurie B, Martins-Melo, Francisco Rogerlândio, März, Winfried, Masaka, Anthony, Mathur, Manu Raj, Maulik, Pallab K, Mayala, Benjamin K, McAlinden, Colm, Mehndiratta, Man Mohan, Mehrotra, Ravi, Mehta, Kala M, Meles, Gebrekiros Gebremichael, Melese, Addisu, Memish, Ziad A, Mena, Alemayehu Toma, Menezes, Ritesh G, Mengesha, Melkamu Merid, Mengistu, Desalegn Tadese, Mengistu, Getnet, Meretoja, Tuomo J, Miazgowski, Bartosz, Mihretie, Kebadnew Mulatu M, Miller-Petrie, Molly K, Mills, Edward J, Mir, Seyed Mostafa, Mirabi, Parvaneh, Mirrakhimov, Erkin M, Mohamadi-Bolbanabad, Amjad, Mohammad, Karzan Abdulmuhsin, Mohammad, Yousef, Mohammad, Dara K, Mohammad Darwesh, Aso, Mohammad Gholi Mezerji, Naser, Mohammadifard, Noushin, Mohammed, Ammas Siraj, Mohammed, Shafiu, Mohammed, Jemal Abdu, Mohebi, Farnam, Mokdad, Ali H, Monasta, Lorenzo, Moodley, Yoshan, Moradi, Masoud, Moradi, Ghobad, Moradi-Joo, Mohammad, Moradi-Lakeh, Maziar, Moraga, Paula, Mosapour, Abbas, Mouodi, Simin, Mousavi, Seyyed Meysam, Mozaffor, Miliva Mozaffor Mozaffor, Muluneh, Atalay Goshu, Muriithi, Moses K, Murray, Christopher J L, Murthy, GVS, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Najafi, Farid, Nangia, Vinay, Nazari, Javad, Ndwandwe, Duduzile Edith, Negoi, Ionut, Ngunjiri, Josephine W, Nguyen, QuynhAnh P, Nguyen, Trang Huyen, Nguyen, Cuong Tat, Nigatu, Dabere, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A, Nojomi, Marzieh, Noubiap, Jean Jacques, Oh, In-Hwan, Okpala, Oluchi, Olagunju, Andrew T, Omar Bali, Ahmed, Onwujekwe, Obinna E, Ortega-Altamirano, Doris D V, Osarenotor, Osayomwanbo, Osei, Frank B, Owolabi, Mayowa Ojo, P A, Mahesh, Padubidri, Jagadish Rao, Pana, Adrian, Pashaei, Tahereh, Pati, Sanghamitra, Patle, Ajay, Patton, George C, Paulos, Kebreab, Pepito, Veincent Christian Filipino, Pereira, Alexandre, Perico, Norberto, Pesudovs, Konrad, Pigott, David M, Piroozi, Bakhtiar, Platts-Mills, James A, Poljak, Mario, Postma, Maarten J, Pourjafar, Hadi, Pourmalek, Farshad, Pourshams, Akram, Poustchi, Hossein, Prada, Sergio I, Preotescu, Liliana, Quintana, Hedley, Rabiee, Navid, Rabiee, Mohammad, Radfar, Amir, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahman, Muhammad Aziz, Rajati, Fatemeh, Ramezanzadeh, Kiana, Rana, Saleem M, Ranabhat, Chhabi Lal, Rasella, Davide, Rawaf, Salman, Rawaf, David Laith, Rawal, Lal, Remuzzi, Giuseppe, Renjith, Vishnu, Renzaho, Andre M N, Reta, Melese Abate, Rezaei, Satar, Ribeiro, Ana Isabel, Rickard, Jennifer, Rios González, Carlos Miguel, Rios-Blancas, Maria Jesus, Roever, Leonardo, Ronfani, Luca, Roro, Elias Merdassa, Rostami, Ali, Rothenbacher, Dietrich, Rubagotti, Enrico, Rubino, Salvatore, Saad, Anas M, Sabour, Siamak, Sadeghi, Ehsan, Safari, Saeed, Safdarian, Mahdi, Sagar, Rajesh, Sahraian, Mohammad Ali, Sajadi, S. Mohammad, Salahshoor, Mohammad Reza, Salam, Nasir, Salehi, Farkhonde, Salehi Zahabi, Saleh, Salem, Marwa R Rashad, Salem, Hosni, Salimi, Yahya, Salimzadeh, Hamideh, Sambala, Evanson Zondani, Samy, Abdallah M, Sanabria, Juan, Santos, Itamar S, Saraswathy, Sivan Yegnanarayana Iyer, Sarker, Abdur Razzaque, Sartorius, Benn, Sathian, Brijesh, Satpathy, Maheswar, Sbarra, Alyssa N, Schaeffer, Lauren E, Schwebel, David C, Senbeta, Anbissa Muleta, Senthilkumaran, Subramanian, Shabaninejad, Hosein, Shaheen, Amira A, Shaikh, Masood Ali, Shalash, Ali S, Shallo, Seifadin Ahmed, Shams-Beyranvand, Mehran, Shamsi, MohammadBagher, Shamsizadeh, Morteza, Sharif, Mehdi, Shey, Muki Shehu, Shibuya, Kenji, Shiferaw, Wondimeneh Shibabaw Shibabaw, Shigematsu, Mika, Shil, Apurba, Shin, Jae Il, Shiri, Rahman, Shirkoohi, Reza, Si, Si, Siabani, Soraya, Singh, Jasvinder A, Singh, Narinder Pal, Sinha, Dhirendra Narain, Sisay, Malede Mequanent, Skiadaresi, Eirini, Smith, David L, Sobhiyeh, Mohammad Reza, Sokhan, Anton, Soofi, Moslem, Soriano, Joan B, Sorrie, Muluken Bekele, Soyiri, Ireneous N, Sreeramareddy, Chandrashekhar T, Sudaryanto, Agus, Sufiyan, Mu'awiyyah Babale, Suleria, Hafiz Ansar Rasul, Sykes, Bryan L, Tamirat, Koku Sisay, Tassew, Aberash Abay, Taveira, Nuno, Taye, Bineyam, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Tesfay, Berhe etsay, Tesfay, Fisaha Haile, Tessema, Zemenu Tadesse, Thankappan, Kavumpurathu Raman, Thirunavukkarasu, Sathish, Thomas, Nihal, Tlaye, Kenean Getaneh, Tlou, Boikhutso, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Khanh Bao, Trihandini, Indang, Ullah, Irfan, Unnikrishnan, Bhaskaran, Valadan Tahbaz, Sahel, Valdez, Pascual R, Varughese, Santosh, Veisani, Yousef, Violante, Francesco S, Vollmer, Sebastian, Vos, Theo, Wada, Fiseha Wadilo, Waheed, Yasir, Wang, Yafeng, Wang, Yuan-Pang, Weldesamuel, Girmay Teklay, Welgan, Catherine A, Westerman, Ronny, Wiangkham, Taweewat, Wijeratne, Tissa, Wiysonge, Charles Shey Shey, Wolde, Haileab Fekadu, Wondafrash, Dawit Zewdu, Wonde, Tewodros Eshete, Wu, Ai-Min, Xu, Gelin, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Yaseri, Mehdi, Yenesew, Muluken Azage, Yeshaneh, Alex, Yilma, Mekdes Tigistu, Yimer, Ebrahim M, Yip, Paul, Yirsaw, Biruck Desalegn, Yisma, Engida, Yonemoto, Naohiro, Younis, Mustafa Z, Yousof, Hebat-Allah Salah A, Yu, Chuanhua, Yusefzadeh, Hasan, Zamani, Mohammad, Zambrana-Torrelio, Carlos, Zandian, Hamed, Zeleke, Ayalew Jejaw, Zepro, Nejimu Biza, Zewale, Taye Abuhay, Zhang, Dongyu, Zhang, Yunquan, Zhao, Xiu-Ju, Ziapour, Arash, Zodpey, Sanjay, and Hay, Simon I

Published
2020
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50. Utilization of Emergency Medical Service and its Associated Factors Among Patients Visited Public Hospitals at Hawassa City, Sidama Region, Ethiopia, 2023

Author

Mekonen, Zelalem, primary, Jemebere, Wegene, additional, Chekol, Aklile Tsega, additional, Tadesse, Fikru, additional, Borie, Yacob Abraham, additional, Mola, Ezedin, additional, Wale, Mastewal Aschale, additional, Tunushe, Yunuka Marufa, additional, Reta, Yared, additional, Aynalem, Amdehiwot, additional, Feleke, Beyene, additional, Gobena, Gelane Geleto, additional, Beyene, Bereket, additional, and Yeheyis, Tomas, additional

Published
2024
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