0000000000950817

AUTHOR

Xuefeng Liu

showing 8 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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Global injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017

2020

Publisher's version (útgefin grein)

DánarmeinFötlunDánartíðniLífslíkurLife expectancy1106 Human Movement and Sports Sciencesburden of diseaseGlobal HealthGlobal Burden of Disease0302 clinical medicineQuality-Adjusted Life YearGlobal healthMedicineLIFE EXPECTANCY030212 general & internal medicine1506POPULATIONCause of deathOriginal ResearchRISKeducation.field_of_studyGlobal disease burdensInjuriesSjúkdómarIncidence (epidemiology)IncidencePopulation healthBurden of diseaseGlobalglobal3142 Public health care science environmental and occupational health3. Good healthDescriptive epidemiologyLýðheilsaQuality-Adjusted Life YearsPublic HealthTERRITORIESdescriptive epidemiologyHumanPopulation195 COUNTRIESPopulation healthCause of deathburden of disease; descriptive epidemiology; global; Humans; Incidence; Life Expectancy; Morbidity; Quality-Adjusted Life Years; Global Burden of Disease; Global Health; Wounds and Injuries1117 Public Health and Health Services03 medical and health sciencesAGESYSTEMATIC ANALYSISHumansMortalityeducationDisabilitySEX-SPECIFIC MORTALITYbusiness.industryFaraldsfræðiDISABILITYPublic Health Environmental and Occupational HealthQuality-adjusted life yearYears of potential life lostÁverkar1701 PsychologyLife expectancyWounds and InjuriesHuman medicineMorbiditybusiness030217 neurology & neurosurgeryDemography
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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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Global, regional, and national burden of stroke and its risk factors, 1990–2019 : a systematic analysis for the Global Burden of Disease Study 2019

2021

Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]…

MaleAging030204 cardiovascular system & hematologyStroke dataGUIDELINES3124 Neurology and psychiatryBody Mass IndexGlobal Burden of Disease0302 clinical medicineRA0421Risk FactorsEpidemiologyStrokesYOUNG-ADULTSPrevalence80 and overAetiology610 Medicine & healthStrokePOPULATION1103 Clinical Sciences 1109 NeurosciencesCause of deathAged 80 and overeducation.field_of_studyMortality rateIncidence (epidemiology)Incidence1. No povertyArticlesHälsovetenskaperMiddle AgedStroke typesddc:3. Good healthStrokeISCHEMIC-STROKEIncomeFemaleQuality-Adjusted Life YearsLife Sciences & BiomedicineAdultmedicine.medical_specialtyGBDPopulationClinical SciencesClinical Neurology610 Medicine & health03 medical and health sciencesClinical ResearchMIDDLE-INCOME COUNTRIESHealth SciencesmedicineHumansRisk factoreducationGBD 2019 Stroke CollaboratorsCerebral HemorrhageAgedIschemic StrokeGlobal burdenScience & TechnologyNeurology & NeurosurgeryHYPERTENSIONbusiness.industryMORTALITYPrevention3112 NeurosciencesNeurosciences1103 Clinical SciencesSERVICESSubarachnoid Hemorrhagemedicine.diseasePREVENTIONBrain DisordersGood Health and Well BeingAttributable riskHuman medicineNeurology (clinical)Neurosciences & Neurologybusiness1109 Neurosciences030217 neurology & neurosurgeryDemography2.4 Surveillance and distributionRC
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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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