2018
Risk Prediction Score for HIV Infection: Development and Internal Validation with Cross-Sectional Data from Men Who Have Sex with Men in China
Yin L, Zhao Y, Peratikos MB, Song L, Zhang X, Xin R, Sun Z, Xu Y, Zhang L, Hu Y, Hao C, Ruan Y, Shao Y, Vermund SH, Qian HZ. Risk Prediction Score for HIV Infection: Development and Internal Validation with Cross-Sectional Data from Men Who Have Sex with Men in China. AIDS And Behavior 2018, 22: 2267-2276. PMID: 29786768, PMCID: PMC7024582, DOI: 10.1007/s10461-018-2129-y.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAlcohol DrinkingChinaCondomsCross-Sectional StudiesHIV InfectionsHomosexuality, MaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPrevalenceRisk AssessmentRisk FactorsRisk-TakingSafe SexSexual and Gender MinoritiesSexual BehaviorSexual PartnersSurveys and QuestionnairesSyphilisUnsafe SexYoung AdultConceptsHIV infectionRisk scoreHuman immunodeficiency virus (HIV) riskMultivariable logistic regression modelingBootstrap-corrected C-indexMultiple male sexual partnersValid risk scoreVaccine clinical trialsHigh-risk MSMHigh-risk personsRisk prediction scoreReceptive anal intercourseReceptive anal sexInconsistent condom useMale sexual partnersHIV prevention programmingLogistic regression modelingDrug/alcohol addictionHIV acquisitionRisk reduction programsSyphilis infectionHIV prevalenceClinical trialsC-indexIllegal drug use
2016
High HIV prevalence and the internet as a source of HIV-related service information at a community-based organization in Peru: a cross-sectional study of men who have sex with men
Passaro RC, Haley CA, Sanchez H, Vermund SH, Kipp AM. High HIV prevalence and the internet as a source of HIV-related service information at a community-based organization in Peru: a cross-sectional study of men who have sex with men. BMC Public Health 2016, 16: 871. PMID: 27557857, PMCID: PMC4997688, DOI: 10.1186/s12889-016-3561-4.Peer-Reviewed Original ResearchMeSH KeywordsAdultCommunity Health ServicesCross-Sectional StudiesHIV InfectionsHomosexuality, MaleHumansInformation Seeking BehaviorInformation ServicesInternetLogistic ModelsMaleMarketing of Health ServicesOdds RatioPatient Acceptance of Health CarePeer GroupPeruPrevalenceRisk-TakingSex WorkersSexual BehaviorSexual PartnersYoung AdultConceptsHIV prevalenceHIV servicesCross-sectional studyHIV careCommunity-based organizationsMethodsA cross-sectional studyMultivariable logistic regression modelSource of HIVHigh-risk personsSex workersHigh HIV prevalenceGeneral adult populationSex workers groupSexual risk behaviorsResource-limited settingsLogistic regression modelsHIV diagnosisWorker groupsHigh riskAdult populationInfected individualsPerson groupRisk behaviorsRisk profileMSM
2008
Predictors of HIV infection and prevalence for syphilis infection among injection drug users in China: Community-based surveys along major drug trafficking routes
Jia Y, Lu F, Zeng G, Sun X, Xiao Y, Lu L, Liu W, Ni M, Qu S, Li C, Liu J, Wu P, Vermund SH. Predictors of HIV infection and prevalence for syphilis infection among injection drug users in China: Community-based surveys along major drug trafficking routes. Harm Reduction Journal 2008, 5: 29. PMID: 18724872, PMCID: PMC2556669, DOI: 10.1186/1477-7517-5-29.Peer-Reviewed Original ResearchMajor drug trafficking routesIndependent risk factorInjection drug usersHIV transmission routesHIV infectionRisk factorsHIV seropositivityLonger durationDrug usersCommunity-based VCTFrequent drug injectionHIV preventive servicesDrug trafficking routesHigh-risk personsSexual behavior informationTransmission routesCommunity-based surveyPopulation-level interventionsSpread of HIVCommunity-level interventionsSyphilis seropositivitySyphilis infectionIndependent predictorsMultivariable analysisNeedle sharing