0000000000950806

AUTHOR

Vaman Kulkarni

showing 5 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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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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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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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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