0000000000042284

AUTHOR

Thirunavukkarasu Sathish

showing 9 related works from this author

Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019: a systema…

2020

Publisher's version (útgefin grein)

Index (economics)Servicios de SaludSUSTAINABLE DEVELOPMENT GOALS030204 cardiovascular system & hematologyuniversal health coverage; sustaibale develpment goal; global burden of disease; performance;universal health coveragesystematic analysisGlobal Burden of Disease0302 clinical medicineUniversal Health InsuranceRA042111. SustainabilityPer capitaMedical economicsDisease030212 general & internal medicine10. No inequality11 Medical and Health Scienceseffective coverage of health servicesGBD 2019 Universal Health Coverage Collaboratorseducation.field_of_studyPublic healthMedical careSjúkdómar4. Education1. No povertyHealth coveragePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineHälsovetenskaper3142 Public health care science environmental and occupational healthHealth services3. Good healthGlobal burden of diseaseGlobal Burden of Disease; Health Expenditures; Humans; Universal Health Insurance; World Health OrganizationPurchasing power parityScale (social sciences)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingLýðheilsauniversal health coveragCANCER SURVIVALACCESSperformanceHumanHeilsuhagfræðimedicine.medical_specialtyHealth coverage GBDGBDUniversal healthGBD 2019Population2019Health expenditures3122 CancersPopulation healthWorld Health Organization03 medical and health sciencesHealth systemsHeilbrigðisvísindiSDG 3 - Good Health and Well-beingGeneral & Internal MedicineDevelopment economicsHealth SciencesmedicineHeilbrigðisstefnasustaibale develpment goalAlþjóðaheilbrigðisstofnuninHumansQUALITYGlobal Burden of Disease StudyeducationPROGRESSDisease burdenPublic healthHealth services accessibilityCAREHeilbrigðisþjónusta//purl.org/pe-repo/ocde/ford#3.02.00 [https]Health ExpenditureFolkhälsovetenskap global hälsa socialmedicin och epidemiologi3121 General medicine internal medicine and other clinical medicineMorbilityAdministración de los Servicios de SaludMedical policyBusinessHealth ExpendituresHeilbrigðiskerfi
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Author response: Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2020

education.field_of_studybusiness.industryPopulationDistribution (economics)medicine.diseaseObesityGeographymedicineUnderweightmedicine.symptomeducationbusinessBody mass indexDemography
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Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis…

2020

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.

Malebody-mass indexADULTHOODAdolescentspituuskasvuPediatricsBody Mass Index0302 clinical medicineChild DevelopmentnuoretPublic health surveillanceMedicineHealth Status Indicators10. No inequalityChild11 Medical and Health SciencesBody mass indexComputingMilieux_MISCELLANEOUSeducation.field_of_studyVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801General MedicineBody mass indexeskansainvälinen vertailu3. Good healthGeographyHealth030220 oncology & carcinogenesisChild PreschoolMedical and Health sciences//purl.org/becyt/ford/3 [https]medicine.medical_specialtySchool-aged adolescentsSocio-culturalelapset (ikäryhmät)Nursing.territoriesravinto//purl.org/becyt/ford/3.3 [https]03 medical and health sciencesSchool ChildrenSDG 3 - Good Health and Well-beingSYSTEMATIC ANALYSISHumansschool-aged children and adolescentsMontenegroeducationScience & TechnologyOmvårdnadHealth sciences Medical and Health sciencesCiências médicas e da saúdeBayes TheoremAnthropometryAdolescent Developmentmedicine.diseaseTRENDSHeight and Body-mass IndexFaculdade de Ciências SociaisUNDERNUTRITIONHeight index trajectoriesHeight body mass index children epidemiologybody-mass index; school-aged children and adolescents; risk factors growthStatureBody mass indexDemographySettore MED/09 - Medicina InternaInternationality[SDV]Life Sciences [q-bio]030204 cardiovascular system & hematologyBody-mass index trajectoriesEpidemiologyMedicine and Health Sciencesrisk factorscountriesEPIDEMIOLOGYheight ; body-mass index ; children ; adolescents ; BMI030212 general & internal medicinepainoindeksiChild development2. Zero hungerMedicine(all)School age childobestity children cardiovascularPopulation Health1. No povertyPediatrikPublic Health Global Health Social Medicine and Epidemiology3142 Public health care science environmental and occupational healthPeer reviewPooled analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNUTRITIONFemalemedicine.symptompooled analysis/dk/atira/pure/subjectarea/asjc/2700Life Sciences & Biomedicineterveysheight BMI nutrition health children adolescentsAdolescentgrowthPopulationbody-massPopulation basedBody-mass indexBMIYoung AdultMedicine General & InternalchildrenMeta-Analysis as TopicGeneral & Internal Medicineparasitic diseasesWeight gainSchool-aged childrensAge trajectoriesbusiness.industryHeightWeightBody HeightFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionONSETCiências da Saúde Ciências médicas e da saúdeSchool-aged childrenVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessWeight gainterveysriskitEstilos de Vida e Impacto na Saúde
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Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000-17

2020

Background: Oral rehydration solution (ORS) is a form of oral rehydration therapy (ORT) for diarrhoea that has the potential to drastically reduce child mortality; yet, according to UNICEF estimates, less than half of children younger than 5 years with diarrhoea in low-income and middle-income countries (LMICs) received ORS in 2016. A variety of recommended home fluids (RHF) exist as alternative forms of ORT; however, it is unclear whether RHF prevent child mortality. Previous studies have shown considerable variation between countries in ORS and RHF use, but subnational variation is unknown. This study aims to produce high-resolution geospatial estimates of relative and absolute coverage o…

RJ101medicine.medical_treatmentCHILDRENZINC0302 clinical medicine030212 general & internal medicinemedia_commonGeographylcsh:Public aspects of medicine1. No povertyLow income and middle income countriesGeneral Medicine3142 Public health care science environmental and occupational health3. Good healthPeer reviewGeographyChild PreschoolA990 Medicine and Dentistry not elsewhere classifiedGeographical inequalities0605 MicrobiologyDiarrheaAFRICAInequalityDEATHSmedia_common.quotation_subject030231 tropical medicineDeveloping countryArticleRS1117 Public Health and Health Services03 medical and health sciencesMORBIDITYEnvironmental healthDIARRHEAL DISEASEmedicineHumansOral rehydration therapyHealthcare DisparitiesDeveloping CountriesModels StatisticalCHOLERAMORTALITYInfant NewbornInfantlcsh:RA1-1270Bayes TheoremMiddle incomeGLOBAL BURDENChild mortality0605 Microbiology 1117 Public Health and Health ServicesHealth Care SurveysITC-ISI-JOURNAL-ARTICLEFluid TherapyNAHuman medicineITC-GOLD
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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 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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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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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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