0000000001321160

AUTHOR

Barthelemy Kuate Defo

showing 21 related works from this author

Global, regional, and national levels and causes of maternal mortality during 1990-2013: A systematic analysis for the Global Burden of Disease Study…

2014

BACKGROUND: The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio (MMR; number of maternal deaths per 100,000 livebirths) between 1990 and 2015. We aimed to measure levels and track trends in maternal mortality, the key causes contributing to maternal death, and timing of maternal death with respect to delivery.METHODS: We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013. We estimated the number of pregnancy-related deaths caused by HIV on the basi…

PediatricsTime FactorsNutrition and Diseasehiv-infectionimmunodeficiency virus-1 infectionperipartum cardiomyopathyPoison controlHIV InfectionsIMMUNODEFICIENCY VIRUS-1 INFECTIONSocioeconomic FactorGlobal Health0302 clinical medicinePERIPARTUM CARDIOMYOPATHYpregnancy-related mortalityRisk FactorsPregnancyVoeding en ZiekteCause of DeathGlobal healthHIV Infection030212 general & internal medicinePregnancy Complications Infectious10. No inequalityCause of death030219 obstetrics & reproductive medicinesouth-africaMedicine (all)1. No povertyWOMENPREGNANCY-RELATED MORTALITYhealth initiativesGeneral MedicineSOUTH-AFRICA3. Good healthMaternal MortalityWorld HealthCHILD SURVIVALFemaleMaternal deathwomenHumanmedicine.medical_specialtyTime FactorDEATHSchild survivalArticleadult mortality03 medical and health sciencesAge DistributionHEALTH INITIATIVESSDG 3 - Good Health and Well-beingHIV-INFECTIONADULT MORTALITYInjury preventionmedicineOrganizational ObjectivesOrganizational ObjectiveHumansVLAGPregnancyModels Statisticalbusiness.industryRisk Factormedicine.diseasedeathsStandardized mortality ratioSocioeconomic FactorsRelative riskPregnancy Complications InfectioubusinessDemography
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Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study…

2022

Funding: Bill & Melinda Gates Foundation. Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories.  Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–4…

AdultMaleGlobal HealthTimeGlobal Burden of DiseaseSDG 3 - Good Health and Well-beingRisk FactorsRA0421RA0421 Public health. Hygiene. Preventive MedicineHumansAmbient air-qualityChildRespiratory Tract InfectionsAgedAged 80 and overMCCSex CharacteristicsMalnutritionPyridinolcarbamateBayes Theorem3rd-DAS3142 Public health care science environmental and occupational healthInfectious Diseases3121 General medicine internal medicine and other clinical medicineChild PreschoolFemaleParticulate MatterQuality-Adjusted Life YearsCovid-19LRI
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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study …

2020

Publisher's version (útgefin grein)

MaleLife expectancyDisability-Adjusted Life YearDiseasesDiseasecommunicable diseasesystematic analysisGlobal Burden of Disease0302 clinical medicine80 and overMedicine10. No inequalityChild11 Medical and Health SciencesinjuriesAged 80 and overeducation.field_of_studySjúkdómarDEMENTIAFALLSGeneral MedicineForvarnir3. Good healthChild PreschoolHumanGBDPopulation health03 medical and health sciencesSDG 3 - Good Health and Well-beingHumansGlobal Burden of Disease StudyeducationAgedSpatial AnalysisGlobal burdenDisabilityPreventionDISABILITYInfantSpatial AnalysiMortality rateGlobal Burden of Disease Diseases Injuries Systematic analysisPREVENTIONYears of potential life lostRisk factorsDisease studyGBD; communicable disease; injuries;ITC-ISI-JOURNAL-ARTICLELife expectancyRISK-FACTORSClinical MedicineRADemographyFötlunDánartíðniÁhættuþættir030204 cardiovascular system & hematologyRisk FactorsCause of DeathGlobal health030212 general & internal medicineMortality ratePopulation health1. No povertyDisability-Adjusted Life YearsPublic Health Global Health Social Medicine and EpidemiologyMiddle Aged3142 Public health care science environmental and occupational healthAdolescent; Adult; Age Distribution; Aged; Aged 80 and over; Cause of Death; Child; Child Preschool; Disability-Adjusted Life Years; Female; Global Burden of Disease; Humans; Infant; Infant Newborn; Male; Middle Aged; Risk Factors; Spatial Analysis; Young Adult/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingLýðheilsaFemaleCLINICAL-TRIALSAdultAdolescentPopulationGlobal healthSettore MED/01 - Statistica MedicadiseasesITC-HYBRIDYoung AdultHeilbrigðisvísindiAge DistributionGeneral & Internal MedicineMortalityPreschoolDisease burdenbusiness.industryRisk FactorKlinisk medicinInfant NewbornNewborn//purl.org/pe-repo/ocde/ford#3.02.00 [https]Folkhälsovetenskap global hälsa socialmedicin och epidemiologiÁverkarSystematic analysisNAbusiness
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Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980-2015 : a systematic analysi…

2016

BACKGROUND: Established in 2000, Millennium Development Goal 4 (MDG4) catalysed extraordinary political, financial, and social commitments to reduce under-5 mortality by two-thirds between 1990 and 2015. At the country level, the pace of progress in improving child survival has varied markedly, highlighting a crucial need to further examine potential drivers of accelerated or slowed decreases in child mortality. The Global Burden of Disease 2015 Study (GBD 2015) provides an analytical framework to comprehensively assess these trends for under-5 mortality, age-specific and cause-specific mortality among children under 5 years, and stillbirths by geography over time. METHODS: Drawing from ana…

PediatricsNutrition and DiseaseGlobal HealthCommunicable Disease0302 clinical medicineVoeding en ZiekteInfant MortalityCompensation law of mortalityGlobal healthMedicineLIFE EXPECTANCY030212 general & internal medicineDEVELOPING-COUNTRIES10. No inequalityMedicine(all)NEWBORN BABIESMedicine (all)Mortality rate1. No povertyDEATHPublic Health Global Health Social Medicine and EpidemiologyGeneral Medicine11 Medical And Health SciencesStillbirth3. Good healthChild MortalitySURVIVALCHILD-MORTALITYHEALTHLife Sciences & BiomedicineDEVELOPMENT GOAL 4HumanINTERVENTIONSmedicine.medical_specialtyRJINTEGRATED APPROACHDeveloping country610Communicable Diseasesneonatal03 medical and health sciencesMedicine General & Internal030225 pediatricsGeneral & Internal MedicineLife ScienceHumansGlobal Burden of Disease StudyVLAGEstimationScience & Technologybusiness.industryKlinisk medicinInfantGBD 2015 Child Mortality CollaboratorsInfant mortalityMalariaChild mortalityFolkhälsovetenskap global hälsa socialmedicin och epidemiologiLife expectancyClinical MedicineRGbusinessDemography
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Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2020

Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the…

MaleNutritional SciencesSpecific riskContaminación del Aire Interior030204 cardiovascular system & hematologySocioeconomic Factorsystematic analysisGlobal HealthBody Mass IndexGlobal Burden of DiseaseHealth Risk BehaviorHealth Risk BehaviorsDisease studies0302 clinical medicineRisk FactorsMETABOLIC RISKS030212 general & internal medicine11 Medical and Health SciencesFactores de Riesgo2. Zero hungereducation.field_of_studyPublic healthInjuriesPublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineGBD; risck factors; attributable burden of disease;3142 Public health care science environmental and occupational health3. Good healthRelative riskEnvironmental healthHealthHypertension/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingGlobal Burden of Diseases Injuries Risk FactorsA990 Medicine and Dentistry not elsewhere classifiedFemaleLeading risk factorsGlobal Health MetricsCohort studyHumanmedicine.medical_specialtySubstance-Related DisordersPopulationUNITED-STATESRisk AssessmentDIETITC-HYBRID03 medical and health sciencesLife ExpectancyUNITED-STATES; MORTALITY; DISABILITY; POLLUTION; CLUSTERS; DIETSDG 3 - Good Health and Well-beingPOLLUTIONGeneral & Internal MedicineEnvironmental healthmedicineHumansGlobal Burden of Disease StudyRisk factoreducationGlobal burdenbusiness.industryPublic healthRisk FactorMORTALITYDISABILITYMalnutritionKlinisk medicinGlobal Burden of DiseasesEnvironmental Exposuremedicine.diseaseEnfermedades//purl.org/pe-repo/ocde/ford#3.02.00 [https]MalnutritionFolkhälsovetenskap global hälsa socialmedicin och epidemiologiYears of potential life lostSocioeconomic FactorsRisk factorsDisease studyRelative riskHyperglycemiaITC-ISI-JOURNAL-ARTICLENAClinical MedicinebusinessCLUSTERSRA
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The global distribution of lymphatic filariasis, 2000–18:a geospatial analysis

2020

Background Lymphatic filariasis is a neglected tropical disease that can cause permanent disability through disruption of the lymphatic system. This disease is caused by parasitic filarial worms that are transmitted by mosquitos. Mass drug administration (MDA) of antihelmintics is recommended by WHO to eliminate lymphatic filariasis as a public health problem. This study aims to produce the first geospatial estimates of the global prevalence of lymphatic filariasis infection over time, to quantify progress towards elimination, and to identify geographical variation in distribution of infection. Methods A global dataset of georeferenced surveyed locations was used to model annual 2000–18 lym…

medicine.medical_specialtyGeospatial analysis030231 tropical medicineElephantiasis:ELIMINATIONcomputer.software_genreArticleLocal Burden of Disease 2019 Neglected Tropical Diseases Collaborators1117 Public Health and Health Services03 medical and health sciences0302 clinical medicineRA0421Environmental healthGlobal healthmedicine030212 general & internal medicineMass drug administrationLymphatic filariasisPublic healthlcsh:Public aspects of medicineTropical diseaselcsh:RA1-1270General Medicinemedicine.disease3. Good healthQRGeographyLymphatic systemITC-ISI-JOURNAL-ARTICLEA990 Medicine and Dentistry not elsewhere classifiedITC-GOLDcomputer0605 Microbiology
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Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countr…

2015

Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic develo…

GerontologyMaleCHANGING RELATIONNutrition and DiseaseMESH : Life ExpectancyMESH : AgedECONOMIC-DEVELOPMENTPoison controlMESH: Global HealthGlobal HealthSocioeconomic FactorCommunicable DiseaseMESH : Chronic DiseaseHealth TransitionVoeding en ZiekteQuality-Adjusted Life YearSELF-RATED HEALTHMESH : Socioeconomic FactorsMedicineMESH : FemaleMESH: Mortality Premature2. Zero hungerMESH: Agededucation.field_of_studyMESH: Middle AgedMortality rateMedicine (all)GBD2013 diseases[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieGeneral MedicineMiddle Aged3. Good healthMESH : Wounds and InjuriesEpidemiological transitionMESH: Quality-Adjusted Life YearsMESH: Communicable DiseasesNONCOMMUNICABLE DISEASESFemaleQuality-Adjusted Life YearsMESH: Life ExpectancyMESH: Health TransitionHumanMESH: Socioeconomic FactorsACUTE MYOCARDIAL-INFARCTIONMESH : MaleMORTALITY TRENDSPopulationMESH : Health TransitionCommunicable DiseasesArticleLife ExpectancyEUROPEAN-UNIONSDG 3 - Good Health and Well-beingGeneral & Internal MedicineSYSTEMATIC ANALYSISDisability-adjusted life yearHumansLife ScienceMESH : Middle AgedMortalityeducationPrematureMESH : Mortality PrematureVLAGAgedMESH: Humansbusiness.industryMortality PrematureMESH: Chronic DiseaseMESH : Communicable DiseasesWounds and InjurieMESH : HumansMESH : Quality-Adjusted Life YearsNon-communicable diseaseAged; Chronic Disease; Communicable Diseases; Female; Global Health; Humans; Male; Middle Aged; Mortality Premature; Quality-Adjusted Life Years; Socioeconomic Factors; Wounds and Injuries; Health Transition; Life Expectancy; Medicine (all)medicine.diseaseMESH: MaleLOW SOCIOECONOMIC-STATUSYears of potential life lostSocioeconomic Factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieMESH: Wounds and InjuriesChronic DiseaseLife expectancyRISK-FACTORSMESH : Global HealthWounds and Injuries[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH: FemaleDemographyLancet
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The Burden of Mental Disorders in the Eastern Mediterranean Region, 1990-2013.

2017

The Eastern Mediterranean Region (EMR) is witnessing an increase in chronic disorders, including mental illness. With ongoing unrest, this is expected to rise. This is the first study to quantify the burden of mental disorders in the EMR. We used data from the Global Burden of Disease study (GBD) 2013. DALYs (disability-adjusted life years) allow assessment of both premature mortality (years of life lost-YLLs) and nonfatal outcomes (years lived with disability-YLDs). DALYs are computed by adding YLLs and YLDs for each age-sex-country group. In 2013, mental disorders contributed to 5.6% of the total disease burden in the EMR (1894 DALYS/100,000 population): 2519 DALYS/100,000 (2590/100,000 m…

MaleGerontologyTime FactorsL900Health Statuslcsh:MedicineGlobal HealthGeographical Locations0302 clinical medicineMedicine and Health SciencesGlobal healthPublic and Occupational Health030212 general & internal medicineChildlcsh:ScienceDepression (differential diagnoses)Aged 80 and overeducation.field_of_studyPublic healthMultidisciplinaryMediterranean RegionDepressionMental DisordersAge FactorsMiddle AgedAnxiety DisordersSocioeconomic Aspects of HealthMental illnessChild PreschoolMediterrània orientalAnxietyFemaleEgyptmedicine.symptomResearch ArticleAdultAdolescentEastern MediterraneanPopulationNeuropsychiatric DisordersNeurosesYoung Adult03 medical and health sciencesLife ExpectancySex FactorsMental Health and PsychiatrymedicineHumanseducationDisease burdenAgedMood Disordersbusiness.industrylcsh:RInfant NewbornInfantMental illnessmedicine.diseaseMental healthSalut pública030227 psychiatryHealth CareB900Age GroupsPeople and PlacesAfricaLife expectancyRC0321Population Groupingslcsh:QbusinessMalalties mentalsDemography
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Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

2016

BACKGROUND: In transitioning from the Millennium Development Goal to the Sustainable Development Goal era, it is imperative to comprehensively assess progress toward reducing maternal mortality to identify areas of success, remaining challenges, and frame policy discussions. We aimed to quantify maternal mortality throughout the world by underlying cause and age from 1990 to 2015.METHODS: We estimated maternal mortality at the global, regional, and national levels from 1990 to 2015 for ages 10-54 years by systematically compiling and processing all available data sources from 186 of 195 countries and territories, 11 of which were analysed at the subnational level. We quantified eight underl…

0301 basic medicinePediatricsNutrition and DiseaseMILLENNIUM DEVELOPMENT GOALSSUSTAINABLE DEVELOPMENT GOALSANTENATAL CAREGlobal Health0302 clinical medicineVoeding en Ziekte11. SustainabilityGlobal healthHQHealthcare FinancingEMERGENCY OBSTETRIC CARE030212 general & internal medicineCooperative Behavior10. No inequalityReproductive healthMedicine(all)education.field_of_study030219 obstetrics & reproductive medicineMedicine (all)1. No povertyObstetrics and GynecologyPublic Health Global Health Social Medicine and EpidemiologyPrenatal CareGeneral Medicine11 Medical And Health SciencesLOW-RESOURCE SETTINGS3142 Public health care science environmental and occupational healthFamily Planning Service3. Good healthGBD 2015 Maternal Mortality CollaboratorsGovernment ProgramsMaternal MortalityReproductive HealthFamily Planning ServicesMaternal deathHEALTHLife Sciences & BiomedicineHumanCOUNTRIESmedicine.medical_specialtyPopulation610Prenatal careArticle03 medical and health sciencesMedicine General & InternalSDG 3 - Good Health and Well-beingCASH TRANSFER PROGRAMEnvironmental healthGeneral & Internal Medicineparasitic diseasesmedicineLife ScienceQUALITYHumansGlobal Burden of Disease StudyeducationVLAGScience & TechnologyMedical Assistancebusiness.industryKlinisk medicinParturitionObstetric transitionmedicine.diseaseQPInfant mortalityFolkhälsovetenskap global hälsa socialmedicin och epidemiologiStandardized mortality ratio030104 developmental biologyRISK-FACTORSRGClinical MedicinebusinessRA
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Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17.

2020

Background: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce highresolution geospatial estimates of access to drinking water and sanitation facilities. Methods: We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and…

Drinking water accessSanitationUniversal designGeographic MappingSocioeconomic FactorDISEASE0302 clinical medicineRA0421Hygiene11. SustainabilityGlobal health030212 general & internal medicineSanitationmedia_common2. Zero hungerPublic healthlcsh:Public aspects of medicine1. No povertyGeneral Medicine3142 Public health care science environmental and occupational health6. Clean waterLow-income countries3. Good healthA990 Medicine and Dentistry not elsewhere classifiedCHILD GROWTHTERRITORIESHYGIENEHuman0605 MicrobiologyDiarrheaAFRICAmedicine.medical_specialtymedia_common.quotation_subject030231 tropical medicineLocal Burden of Disease WaSH CollaboratorsDeveloping countryArticleGeographical inequalities1117 Public Health and Health Services12. Responsible consumptionDeveloping Countrie03 medical and health sciencesNUTRITIONAL INTERVENTIONSEnvironmental healthmedicineSYSTEMATIC ANALYSISHumansQUALITYSanitation/statistics & numerical dataOpen defecationImproved sanitationhand washingDeveloping CountriesModels StatisticalMiddle-income countriesDrinking WaterPublic healthlcsh:RA1-1270Bayes TheoremGLOBAL BURDENdiarrheal diseaseDIARRHEADiarrhea/epidemiologyLocal Burden of Disease WaSH CollaboratorSocioeconomic Factors0605 Microbiology 1117 Public Health and Health ServicesITC-ISI-JOURNAL-ARTICLEBusinessHuman medicineSanitation facilitiesITC-GOLD
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Health effects of overweight and obesity in 195 countries over 25 years

2017

Source at: http://doi.org/10.1056/NEJMoa1614362 Background: Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. Methods: We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015. Restults: In 2015, a total of 107.7 million children and 603.7 million adult…

MaleGerontologyPediatric ObesityobesityVDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803global healthDiseaseOverweightGlobal HealthVDP::Social science: 200::Demography: 300DISEASEVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 811Body Mass Index0302 clinical medicineRA0421PandemicPrevalenceadultsGlobal health030212 general & internal medicineChildhumansALL-CAUSE MORTALITYchildadult1. No povertypediatric obesity/epidemiology11 Medical And Health SciencesGeneral MedicineCANCER3. Good healthfemaleVDP::Medical disciplines: 700::Health sciences: 800::Epidemiology medical and dental statistics: 803Cardiovascular DiseasesCohortFemalemedicine.symptomLife Sciences & BiomedicineobesitatResearch ArticleAdultprevalenceoverweight/complications/epidemiologyWEIGHT-LOSS030209 endocrinology & metabolismKNEE OSTEOARTHRITISVDP::Samfunnsvitenskap: 200::Demografi: 300VDP::Medisinske Fag: 700::Helsefag: 800::Ernæring: 81103 medical and health sciencescardiovascular diseases/complications/mortalityMedicine General & InternalchildrenmaleGeneral & Internal MedicineEnvironmental healthmedicineHumansoverweightCOHORTObesityDisease burdenMETAANALYSISScience & TechnologyGBD 2015 Obesity Collaboratorsbusiness.industryADULTSOverweightmedicine.diseaseObesityPREVENTIONBODY-MASS INDEXCross-Sectional StudiesbusinessBody mass indexobesity/complications/*epidemiology
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Additional file 3 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 3: Supplemental figures.Figure S1. Prevalence of male circumcision. Figure S2. Prevalence of signs and symptoms of sexually transmitted infections. Figure S3. Prevalence of marriage or living as married. Figure S4. Prevalence of partner living elsewhere among females. Figure S5. Prevalence of condom use during most recent sexual encounter. Figure S6. Prevalence of sexual activity among young females. Figure S7. Prevalence of multiple partners among males in the past year. Figure S8. Prevalence of multiple partners among females in the past year. Figure S9. HIV prevalence predictions from the boosted regression tree model. Figure S10. HIV prevalence predictions from the gener…

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Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019: an analysis of data from the G…

2022

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution.Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regress…

Contaminación del AireHealth (social science)Type II DiabetesType 2 diabetes deathsair pollutionand YLLs attributable to all PM2·5 air pollutionMedicine (miscellaneous)and change from 1990 to 2019DALYsburden of diseaseGlobal Burden of DiseaseCarga Global de EnfermedadesMELLITUSINFLAMMATIONand household PM2·5 pollution from solid fuels in seven GBD super-regions and globally in 2019Diabetes MellitusHumansBiologyASSOCIATIONSRISKINSULIN-RESISTANCEGBD 2019 Diabetes and Air Pollution CollaboratorsHealth PolicyMaterial ParticuladoPublic Health Environmental and Occupational HealthBayes TheoremLONG-TERM EXPOSUREHumanosYLDsChemistryDiabetes Mellitus Type 23121 General medicine internal medicine and other clinical medicineAños de Vida Ajustados por Calidad de Vidaambient PM2·5 pollutionParticulate MatterQuality-Adjusted Life YearsHuman medicineFINE PARTICULATE MATTERRAType II Diabetes; air pollution; burden of disease;The Lancet Planetary Health
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Mapping disparities in education across low- and middle-income countries

2020

Educational attainment is an important social determinant of maternal, newborn, and child health1–3. As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting4–6. The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness7,8; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health9–11. Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proporti…

MaleATTAINMENTHealth StatusDiseaseeducation; low- and middle-income countries0302 clinical medicineWORLDgenderGlobal healthrisk factors030212 general & internal medicineAetiology10. No inequalitymedia_commonDeveloping worldPediatricMultidisciplinaryR1. No povertyMultidisciplinary SciencesGeographyScience & Technology - Other TopicsFemaleHEALTHdeveloping worldsocial and economic factorsEngineering sciences. TechnologydisparitieAFRICAmedicine.medical_specialty330InequalityGeneral Science & Technologymedia_common.quotation_subjectMODELSDeveloping countryLocal Burden of Disease Educational Attainment CollaboratorsArticleHealthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18]Education03 medical and health sciences2.3 PsychologicalmedicineHumansSocietySocial determinants of healthDeveloping CountriesScience & TechnologyEquity (economics)MORTALITYPublic healthBayes TheoremEducational attainment3141 Health care sciencesocietyGood Health and Well BeingRisk factorsSocioeconomic FactorsDemographic economics030217 neurology & neurosurgery
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Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for …

2015

Background Up-to-date evidence on levels and trends for age-sex-specific all-cause and cause-specific mortality is essential for the formation of global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013) we estimated yearly deaths for 188 countries between 1990, and 2013. We used the results to assess whether there is epidemiological convergence across countries. Methods We estimated age-sex-specific all-cause mortality using the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data. We generally estimated cause of death as in the GBD 2010. Key improvements included…

MaleAgingPediatricsNutrition and DiseaseDatabases FactualDisease030204 cardiovascular system & hematologyGlobal HealthMedical and Health SciencesDOUBLE-BLIND0302 clinical medicineAdolescent; Adult; Aged; Aged 80 and over; Cause of Death; Child; Child Mortality; Child Preschool; Databases Factual; Female; Global Health; Humans; Infant; Infant Newborn; Life Expectancy; Life Tables; Male; Middle Aged; Models Statistical; Mortality; Sex Distribution; Young AdultModelsVoeding en ZiekteCause of DeathEpidemiologyGlobal health80 and over2.2 Factors relating to the physical environmentLife Tables030212 general & internal medicineAetiologyChildINFLUENZAE TYPE-B11 Medical and Health SciencesCause of deathPediatricAged 80 and overPLACEBO-CONTROLLED-TRIALLife TableMortality rateMedicine (all)1. No povertyGeneral MedicineCHILDHOOD PNEUMONIAMiddle AgedStatistical3. Good healthInfectious DiseasesChild PreschoolPNEUMOCOCCAL CONJUGATE VACCINEChild MortalityFemaleInfectionLife Sciences & BiomedicineHumanAdultmedicine.medical_specialtyAdolescentINTEGRATED APPROACHCHILDREN YOUNGER187 COUNTRIESDatabase03 medical and health sciencesDatabasesYoung AdultMedicine General & InternalLife ExpectancyGeneral & Internal MedicinemedicineLife ScienceHumansMortalitySex DistributionPreschoolFactualVLAGAgedScience & TechnologyModels Statisticalbusiness.industryPreventionPOPULATION HEALTHInfant NewbornENTERIC MULTICENTERInfantGBD 2013 Mortality and Causes of Death CollaboratorsNewbornVerbal autopsyChild mortalityGood Health and Well BeingLife expectancyRISK-FACTORSbusiness2.4 Surveillance and distributionDemographyModel
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Estimating global injuries morbidity and mortality

2020

Background. While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods. In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then est…

MalePopulations/contexts1106 Human Movement and Sports SciencesGlobal injuriespopulation030204 cardiovascular system & hematologyGlobal HealthcontextscontextGlobal Burden of Disease0302 clinical medicineQuality-Adjusted Life YearGlobal health1506030212 general & internal medicineOriginal ResearchDatapopulations/contextsIncidence (epidemiology)Incidencemethodology3142 Public health care science environmental and occupational healthPeer reviewFemalePublic HealthTERRITORIESQuality-Adjusted Life Yearsdescriptive epidemiologyHumanDisabilities195 COUNTRIESstatistical issue1117 Public Health and Health Services03 medical and health sciencesAGELife ExpectancyEnvironmental healthInjury preventionSYSTEMATIC ANALYSISstatistical issuesHumansMortalityEstimationSEX-SPECIFIC MORTALITYDISABILITYPublic Health Environmental and Occupational Healthpopulations; contexts; methodology; descriptive epidemiology; statistical issues; Female; Humans; Incidence; Life Expectancy; Male; Morbidity; Quality-Adjusted Life Years; Global Burden of Disease; Global Health; Wounds and Injuriespopulations1106 Human Movement and Sports Sciences 1117 Public Health and Health Services 1701 PsychologyQuality-adjusted life yearYears of potential life lost1701 PsychologyLife expectancyEstimatesWounds and InjuriesHuman medicineMorbiditypopulations/contextInjury prevention
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Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from th…

2020

Incluye: Correction: Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017. Inj Prev. 2020 Oct;26(Supp 1):i164. doi: 10.1136/injuryprev-2019-043296corr1. Epub 2020 Sep 28. PMID: 32989004 Background: The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjuste…

Epidemiologyburden of disease; descriptive epidemiology; epidemiologyECONOMIC-DEVELOPMENT1106 Human Movement and Sports SciencesPoison controlburden of diseaseGlobal HealthGlobal Burden of Disease0302 clinical medicineQuality-Adjusted Life YearGlobal health030212 general & internal medicine10. No inequality1. No povertyBurden of diseaseDALYS3142 Public health care science environmental and occupational healthddc:3. Good healthDescriptive epidemiologyEpidemiological transitionREGISTRATIONDisabled PersonepidemiologyPublic Healthdescriptive epidemiologyHumanmedicine.medical_specialtyDEATHSAdolescent1117 Public Health and Health Services03 medical and health sciencesLife ExpectancyInjury preventionSYSTEMATIC ANALYSISmedicineDisability-adjusted life yearDisease burdenEstimationburden of disease descriptive epidemiology epidemiologyMORTALITYPublic healthEPIDEMIOLOGIC TRANSITIONPublic Health Environmental and Occupational Health030208 emergency & critical care medicineTRENDSEXPECTANCY HALE1701 PsychologyWounds and InjuriesHuman medicineDemography
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Additional file 1 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 1: Supplemental information.1. Compliance with the Guidlines for Accurate and Transparent Health Estimates Reporting (GATHER). 2. HIV data sources and data processing. 3. Covariate and auxiliary data. 4. Statistical model. 5. References.

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Additional file 2 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 2: Supplemental tables.Table S1. HIV seroprevalence survey data. Table S2. ANC sentinel surveillance data. Table S3. HIV and covariates surveys excluded from this analysis. Table S4. Sources for pre-existing covariates. Table S5. HIV covariate survey data. Table S6. Fitted model parameters.

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Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risk…

2015

Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2…

MaleFine particulate matterNutrition and DiseaseMESH : SanitationHealth BehaviorDiseasesMESH: Metabolic DiseasesMESH: Global Health030204 cardiovascular system & hematologyMESH: Risk AssessmentGlobal HealthMESH : Nutritional StatusMESH: Occupational Exposure0302 clinical medicineUnsafe SexMESH: Risk FactorsRisk FactorsVoeding en ZiekteMedicineAir-pollutionMESH : Female030212 general & internal medicineMESH : Risk AssessmentSanitationWasting2. Zero hungerFactors de risc en les malaltiesMedicine (all)[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologiePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineMESH : Occupational DiseasesMESH: Nutritional StatusAll-cause mortalityMESH : Risk FactorshumanitiesEnvironmental Exposure; Female; Global Health; Health Behavior; Humans; Male; Metabolic Diseases; Nutritional Status; Occupational Diseases; Occupational Exposure; Risk Assessment; Risk Factors; Sanitation; Medicine (all)Tobacco smoking3. Good healthOccupational DiseasesNutritional StatuMESH : Occupational ExposureMESH : Metabolic DiseasesCohortFemalemedicine.symptomRisk assessmentBlood-pressureHumanMESH: Occupational DiseasesRisk factors in diseasesCoronary-heart-diseaseMESH : MaleMESH: Health BehaviorMESH: Environmental ExposureNutritional StatusPopulation healthBody-mass indexRisk Assessment03 medical and health sciencesHousehold cookingMetabolic DiseasesCardiovascular-diseaseEnvironmental healthGeneral & Internal MedicineOccupational Exposureparasitic diseasesLife ScienceMESH: SanitationHumansRisk factorMESH : Health BehaviorVLAGGBD2013MESH: Humansbusiness.industryRisk FactorGlobal Burden of Disease Study; 79 behavioural environmental and occupational and metabolic risksLong-term exposureMESH : HumansCAUSE-SPECIFIC MORTALITYEnvironmental ExposureMESH: MaleMetabolic DiseaseOccupational DiseaseFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMALE BRITISH DOCTORSYears of potential life lostRelative riskMalaltiesMESH : Global HealthOUTDOOR AIR-POLLUTION[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH : Environmental ExposureMESH: FemaleLancet
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Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges.

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