2021
Leveraging HIV Care Infrastructures for Integrated Chronic Disease and Pandemic Management in Sub-Saharan Africa
Brault MA, Vermund SH, Aliyu MH, Omer SB, Clark D, Spiegelman D. Leveraging HIV Care Infrastructures for Integrated Chronic Disease and Pandemic Management in Sub-Saharan Africa. International Journal Of Environmental Research And Public Health 2021, 18: 10751. PMID: 34682492, PMCID: PMC8535610, DOI: 10.3390/ijerph182010751.Peer-Reviewed Original ResearchConceptsNon-communicable diseasesNon-communicable disease careInfectious diseasesHIV care infrastructureTropical infectious diseasesHIV/AIDS epidemicIntegrated service delivery modelCOVID-19Future pandemic threatsLow-cost interventionMinistry of HealthDisease careChronic diseasesCardiovascular diseaseSuch careIntegrated careAIDS ReliefHealth systemSub-Saharan AfricaDiseaseService delivery modelsPandemic threatAIDS epidemicCare infrastructureHealthcare model
2019
Modeling economic and epidemiological impact of voluntary medical male circumcision among men who have sex with men in Beijing, China
Zhang C, Penson DF, Qian HZ, Webb GF, Lou J, Shephard BE, Liu Y, Vermund SH. Modeling economic and epidemiological impact of voluntary medical male circumcision among men who have sex with men in Beijing, China. International Journal Of STD & AIDS 2019, 30: 630-638. PMID: 30890118, PMCID: PMC6666307, DOI: 10.1177/0956462419831859.Peer-Reviewed Original ResearchConceptsVoluntary medical male circumcisionNew HIV casesMedical male circumcisionHIV casesMale circumcisionHIV/AIDS epidemicCoverage rateHIV acquisitionHIV incidenceCumulative numberCircumcision ratesDeterministic compartmental modelEpidemiological impactVMMC implementationAIDS epidemicMenMSMCircumcisionSexYearsCompartmental modelCasesIncidence
2016
“I Have to Push Him with a Wheelbarrow to the Clinic”: Community Health Workers' Roles, Needs, and Strategies to Improve HIV Care in Rural South Africa
Loeliger KB, Niccolai LM, Mtungwa LN, Moll A, Shenoi SV. “I Have to Push Him with a Wheelbarrow to the Clinic”: Community Health Workers' Roles, Needs, and Strategies to Improve HIV Care in Rural South Africa. AIDS Patient Care And STDs 2016, 30: 385-394. PMID: 27509239, PMCID: PMC4991585, DOI: 10.1089/apc.2016.0096.Peer-Reviewed Original ResearchConceptsCommunity health workersHIV careCommunity health worker rolesHIV care provisionAntiretroviral therapy initiationHIV treatment outcomesHealth worker rolesHealthcare systemBasic emergency careHIV/AIDS epidemicRural KwaZulu-NatalCommunity-based programsAdherence persistTherapy initiationAntiretroviral medicationsHIV prevalenceTreatment outcomesCHW rolesHealth workersHolistic careCentered careHIV resourcesEmergency careClinical practiceRural South AfricaAntiretroviral therapy initiation and adherence in rural South Africa: community health workers’ perspectives on barriers and facilitators
Loeliger KB, Niccolai LM, Mtungwa LN, Moll A, Shenoi SV. Antiretroviral therapy initiation and adherence in rural South Africa: community health workers’ perspectives on barriers and facilitators. AIDS Care 2016, 28: 982-993. PMID: 27043077, PMCID: PMC4917424, DOI: 10.1080/09540121.2016.1164292.Peer-Reviewed Original ResearchMeSH KeywordsAnti-HIV AgentsAnti-Retroviral AgentsAntiretroviral Therapy, Highly ActiveBlack PeopleCommunity Health WorkersCounselingFocus GroupsHealth Services AccessibilityHIV InfectionsHumansInterviews as TopicLost to Follow-UpMaleMedication AdherenceQualitative ResearchRural PopulationSocial StigmaSocial SupportSocioeconomic FactorsSouth AfricaTruth DisclosureConceptsCommunity health workersAntiretroviral therapyART initiationHealth workersAntiretroviral therapy initiationInsufficient patient educationLong-term adherenceAcute infectious diseasesGlobal HIV/AIDS epidemicPublic health strategiesHealthcare servicesHIV/AIDS managementAlternative medicine (CAM) providersHIV/AIDS epidemicHIV/AIDSTherapy initiationInitial diagnosisLifelong therapyPrevent patientsAdherence ratesPatient counsellingPatient educationPatient dissatisfactionCHW rolesMedicine providers
2015
HIV-infected men who have sex with men, before and after release from jail: the impact of age and race, results from a multi-site study
Vagenas P, Zelenev A, Altice FL, Di Paola A, Jordan AO, Teixeira PA, Frew PM, Spaulding AC, Springer SA. HIV-infected men who have sex with men, before and after release from jail: the impact of age and race, results from a multi-site study. AIDS Care 2015, 28: 22-31. PMID: 26275122, PMCID: PMC4713253, DOI: 10.1080/09540121.2015.1062464.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAnti-HIV AgentsBlack or African AmericanBlack PeopleContinuity of Patient CareHealth Services AccessibilityHealthcare DisparitiesHIV InfectionsHomosexuality, MaleHumansInsurance, HealthKaplan-Meier EstimateMalePrisonersPrisonsRacial GroupsTreatment OutcomeYoung AdultConceptsBlack MSMHIV healthcare providersHIV treatment outcomesDisease management interventionsHIV/AIDS epidemicYoung Black MSMImpact of ageNon-black MSMHigher infection rateYoung HIVTreatment outcomesLarge cohortWorst HIVHIVHealth outcomesJail detaineesMale subgroupHealthcare providersInfection rateMulti-site studyMSMAIDS epidemicMenBlack menIntervention
2014
HIV Drug Therapy in the Americas 8–10 May 2014, Rio de Janeiro, Brazil
de Mesquita Fábio C, Pati P, de Barros Clarissa H, Juliana M, Taques D, Larissa D, de Freitas Marcelo A, Nestor S, Peter R, William P, Omar S, Andrew R, Dechao W, Peter R, Ard V, Raph H, Carl M, Robin W, Brian G, Julio M, Clifford L, Brendan L, Trevor H, Cal C, David W, Jose A, Keith H, Mark B, William T, Will G, Danielle P, Ivan W, Luis G, Valeska S, Waldo B, Federico A, Leandro K, Jorge S, Alberto L, Gabriela R, Jorge A, Marcelo L, Lynne M, Rosa B, Marinella D, Maria M, Margot K, Célia S, Letícia C, Ivete G, Laura F, Marcelo S, Marcelo G, Rosana F, Rohan H, Robert B, Isabel C, Jose V, Ivanka K, Antonella D, Fiona M, Anna S, He X, Woodie Z, Jean V, Marisol M, Andrew P, Jorge S, Luis S, Pedro C, Frederick A, Luis J, Felipe U, Patricia I, Veronica R, Yazmin M, Andrea G, Adriana V, Patricia U, Carlos M, Mark N, Juan S, Sobhie D, Anton P, Massimo G, Roy G, Daniel K, Brenda C, Yanink C, Sosa‐Rubi S, Ada K, Juan S, Raul O, Alondra L, Sergio B, David M, Luz P, Sobieszczyk M, Lake J, Clark J, Campos D, Veloso V, Moreira R, Cardoso S, Klausner J, Beatriz G, Robert P, Jesus C, Andrea G, Ubaldo R, Hamid V, Arantxa C, Víctor R, Gabriela H, Jeremy C, Alejandra C, Nitzia L, Claudia R, Steven D, Andrea G, Segundo L, Kelika K, Klausner J, Thomas C, Carlos C, Evaldo O, Letiano S, Roseane L, Luisa A, Jairo C, Leila S, Laine P, Lemos J, Oliveira‐Filho A, Vallinoto A, Carlos C, Ubaldo R, Andrea G, Oliveira‐Filho A, Suzy P, Marcelo P, Renata H, Eduardo A, MC Maradei‐Pereira L, Angelo C, Lemos J, Fernanda R, Marcelo W, Cortes C, Marcelo P, Lima D, Eduardo A, MC Maradei‐Pereira L, Lemos J, Oliveira‐Filho A, Steven D, Andrea G, Nathalie G, Maribel R, Susanna N, Mark S, Jacob L, Jeffrey F, Karam M, Margaret S, Annie L, David A, Anuj G, Liyun N, Evguenia S, William S, John M, Douglas D, Mariana K, Guillermo V, Javier T, Marcelo L, Robert P, Luis G, Alejandro F, Natalia G, Carlos T, Panagiotis C, Konstantina C, Eleni F, Panagiotis M, Ioannis M, Dimitra P, Drosos K, Georgios C, Carlos Y, Maribel A, Gabriela S, Condori E, Daniel S, Fanny C, Ada V, Soledad R, Irene F, Erica S, Silvina I, Alejandro H, Marcelo L, Patricia B, Lelia A, Marta F, Lisete D, Luiza N, Diana A, Rafael A, Hélder M, Luiza N, Lisete D, Lorena M, Rafael A, Hélder M, Trevor H, Rafael C, David W, Cal C, Joel G, Anthony M, Paul S, Andrew Z, Liu H, White K, Rhee M, Javier S, Nathan C, Jean‐Michel M, Keith H, Joe G, Rockstroh J, Edwin D, Xuelian W, White K, Fordyce M, Rhee M, Javier S, Vida R, Brenda C, Yanink C, Juan S, Victor R, Hamid V, Gabriela H, Jeremy C, Anita S, Robertino M, Leslie N, David M, Keith R, Rima K, Abram M, Rhee M, Fordyce M, Javier S, Miller M, White K, Rodrigo P, Clara F, Paula L, Cerdeira S, Busch M, Saeed S, Silvia K, Emiliano B, Natalia A, Gonzalo C, Gabriela B, De Leon J, Analia C, Gladys A, Cristina G, Pierina D, Marwan A, Moraima M, Martin C, Marbelys H, Mario C, Yajaira R, Anselmo R, Graciela L, Leopoldo D, Miguel M, Rafael N, Maricruz R, Cristina G, Gladys A, Pierina D, Marbelys H, Héctor R, Domingo G, Flor P, Rafael N, Eugenia P, Alejandra M, Camila M, Fernanda N, Andres G, Carlos G, Edwin D, Jason F, Anton P, Antonio A, Pere D, Will G, Thai N, David S, Doug C, Jose A, Joseph G, Ramin E, L W, Thai N, Emiliano B, Cynthia B, Carlos F. HIV Drug Therapy in the Americas 8–10 May 2014, Rio de Janeiro, Brazil. Journal Of The International AIDS Society 2014, 17: 19180. PMID: 24815847, PMCID: PMC4015307, DOI: 10.7448/ias.17.2.19180.Peer-Reviewed Original ResearchConceptsHIV/AIDS epidemicAIDS epidemicHIV health care servicesCurrent HIV/AIDS epidemicNotifiable Diseases Information SystemViral load suppressionMortality Information SystemHealth care servicesHIV/AIDSCD4 countVL suppressionHIV transmissionCare servicesEpidemicTreatmentSuppressionSocial disparitiesHIVRegional differencesAIDSHIV Risk Perception among HIV Negative or Status‐Unknown Men Who Have Sex with Men in China
Fan W, Yin L, Qian HZ, Li D, Shao Y, Vermund SH, Ruan Y, Zhang Z. HIV Risk Perception among HIV Negative or Status‐Unknown Men Who Have Sex with Men in China. BioMed Research International 2014, 2014: 232451. PMID: 24795880, PMCID: PMC3985141, DOI: 10.1155/2014/232451.Peer-Reviewed Original ResearchConceptsHIV risk perceptionSelf-perceived riskHIV infectionHigh riskMultivariate logistic regression modelLow self-perceived riskCross-sectional studySelf-reported historyHIV/AIDS epidemicIllicit drug useLogistic regression modelsHIV-negativeHIV testingHIV statusSyphilis testingBeijing MSMChinese MSMHIV perceptionBlood samplesLower riskDrug useHIVMSMUnknown statusAIDS epidemicAlcohol Use among Chinese Men Who Have Sex with Men: An Epidemiological Survey and Meta‐Analysis
Liu Y, Qian HZ, Ruan Y, Yin L, Ma J, Dahiya K, Fan W, Shao Y, Vermund SH. Alcohol Use among Chinese Men Who Have Sex with Men: An Epidemiological Survey and Meta‐Analysis. BioMed Research International 2014, 2014: 414381. PMID: 24711993, PMCID: PMC3966324, DOI: 10.1155/2014/414381.Peer-Reviewed Original ResearchConceptsPooled prevalenceAlcohol useAnal sexChinese menLifetime male sex partnersSignificant public health concernInsertive anal sexMale sex partnersRisk reduction interventionsHIV/AIDS epidemicPublic health concernCurrent alcohol useChinese MSMAlcohol use prevalenceAlcohol consumptionEpidemiological surveySex partnersReduction interventionsMeta-analysisUse prevalenceHealth concernMale partnersMSMAIDS epidemicPrevalence
2009
Consequences of Drug Abuse and HIV/AIDS in China: Recommendations for Integrated Care of HIV-Infected Drug Users
Li X, He G, Wang H, Williams AB. Consequences of Drug Abuse and HIV/AIDS in China: Recommendations for Integrated Care of HIV-Infected Drug Users. AIDS Patient Care And STDs 2009, 23: 877-884. PMID: 19799494, DOI: 10.1089/apc.2009.0015.Peer-Reviewed Original ResearchConceptsHIV/AIDSDrug usersDrug abuseHealth care providers' attitudesCare providers' attitudesMethadone maintenance treatmentNeedle syringe programsInjection drug usersHIV/AIDS epidemicUnprotected sexual behaviorMedical care servicesDrug User QualityDrug abuse behaviorHIV infectionMaintenance treatmentNeedle sharingSyringe programsHigh prevalenceHepatitis virusProvider attitudesCare servicesHealth professionalsIntegrated careSevere mental problemsPsychosocial consequences
2008
Estimates of HIV prevalence in a highly endemic area of China: Dehong Prefecture, Yunnan Province
Jia Y, Sun J, Fan L, Song D, Tian S, Yang Y, Jia M, Lu L, Sun X, Zhang S, Kulczycki A, Vermund SH. Estimates of HIV prevalence in a highly endemic area of China: Dehong Prefecture, Yunnan Province. International Journal Of Epidemiology 2008, 37: 1287-1296. PMID: 18922804, PMCID: PMC2638873, DOI: 10.1093/ije/dyn196.Peer-Reviewed Original ResearchConceptsHIV prevalenceDehong PrefectureCurrent HIV preventionInjection drug useInjection drug usersFemale sex workersHIV/AIDS epidemicHIV/AIDSHIV infectionHIV preventionTreatment challengesClinical dataEndemic areasHIV problemPopulation prevalenceDrug usersDrug usePrevalenceAIDS epidemicWorkbook methodEpidemic patternsSex workersInfectionMillion peopleUneven geographical distributionSpatial distribution of HIV prevalence and incidence among injection drugs users in St Petersburg: implications for HIV transmission
Heimer R, Barbour R, Shaboltas AV, Hoffman IF, Kozlov AP. Spatial distribution of HIV prevalence and incidence among injection drugs users in St Petersburg: implications for HIV transmission. AIDS 2008, 22: 123-130. PMID: 18090400, PMCID: PMC2778790, DOI: 10.1097/qad.0b013e3282f244ef.Peer-Reviewed Original ResearchConceptsInjection drug usersDrug usersReceptive syringe sharingRisk behavior dataHIV/AIDS epidemicRisky injection behaviorsSeronegative cohortsSeronegative individualsHeroin injectionHIV prevalenceHIV transmissionIncident casesSyringe sharingHIV epidemicVaccine studiesStudy populationDrug useResidential addressesStudy participantsEpidemiological analysisHIVPrevalenceAIDS epidemicDisease prevalenceCohort
2007
Sources of data for improved surveillance of HIV/AIDS in China.
Jia Y, Lu F, Sun X, Vermund SH. Sources of data for improved surveillance of HIV/AIDS in China. The Southeast Asian Journal Of Tropical Medicine And Public Health 2007, 38: 1041-52. PMID: 18613545, PMCID: PMC2730767.Peer-Reviewed Original ResearchConceptsHIV/AIDSHIV/AIDS surveillanceInjection drug usersImproved surveillanceAIDS surveillanceHuman immunodeficiency virus/HIV sentinel surveillanceImmunodeficiency syndrome surveillancePassive surveillanceEffective HIV prevention programsHIV prevention programsHIV/AIDS epidemicSurveillance systemHIV infectionSentinel surveillanceActive surveillanceHIV epidemicVirus/Syndrome surveillanceDrug usersPrevention programsAIDSAIDS epidemicComprehensive surveillanceSurveillance
2006
HIV Medication Adherence
Friedland GH. HIV Medication Adherence. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2006, 43: s3-s9. PMID: 17133202, DOI: 10.1097/01.qai.0000248333.44449.ea.Peer-Reviewed Original ResearchSocio-economic and demographic factors associated with prevalence of HIV infection among pregnant women in Dar es Salaam, Tanzania
Msamanga G, Fawzi W, Hertzmark E, McGrath N, Kapiga S, Kagoma C, Spiegelman D, Hunter D. Socio-economic and demographic factors associated with prevalence of HIV infection among pregnant women in Dar es Salaam, Tanzania. East African Medical Journal 2006, 83: 311-321. PMID: 16989376, DOI: 10.4314/eamj.v83i6.9438.Peer-Reviewed Original ResearchConceptsHIV infectionAntenatal clinicHIV-1-positive womenDar es SalaamMaternal-foetal transmissionMid-arm circumferenceHIV-1 infectionDemographic characteristicsLow HIV prevalenceCross-sectional studyHIV prevalence ratesHIV/AIDS epidemicOpt-out approachLow-resource settingsPositive womenNevirapine treatmentHIV prevalencePregnant womenMaternal ageHigh prevalenceRegular partnersPrevalence ratesPartner's occupationTanzanian womenOlder ageDeterminants of HIV/AIDS Risk Behaviors in Expectant Fathers in Haiti
Magee EM, Small M, Frederic R, Joseph G, Kershaw T. Determinants of HIV/AIDS Risk Behaviors in Expectant Fathers in Haiti. Journal Of Urban Health 2006, 83: 625-636. PMID: 16845497, PMCID: PMC2430479, DOI: 10.1007/s11524-006-9063-4.Peer-Reviewed Original ResearchConceptsHIV/AIDS risk behaviorsAIDS risk behaviorsRisk behaviorsExpectant fathersLow HIV knowledgeHIV prevention programsMultiple sex partnersHIV/AIDS epidemicHIV infectionHIV transmissionHIV knowledgeHIV epidemicMale community membersHigher sexual communicationRelationship power imbalancesSex partnersPrevention programsPsychosocial variablesAIDS epidemicHigh stigmaYoung menHIVPersonal riskMenSaharan AfricaEffectiveness of an HIV/AIDS educational programme for Chinese nurses
Williams AB, Wang H, Burgess J, Wu C, Gong Y, Li Y. Effectiveness of an HIV/AIDS educational programme for Chinese nurses. Journal Of Advanced Nursing 2006, 53: 710-720. PMID: 16553679, DOI: 10.1111/j.1365-2648.2006.03777.x.Peer-Reviewed Original ResearchConceptsHIV/AIDSHIV/AIDS knowledgeNursing careAIDS educational interventionEducational interventionHIV/AIDS educational interventionAIDS knowledgeHuman immunodeficiency virusChinese nursesEffective HIV/AIDS preventionHIV/AIDS preventionHIV/AIDS educational programHIV/AIDS epidemicImmunodeficiency virusDevastating illnessComprehensive carePatientsEuropean nursesAIDS educational programsChallenges nursesNursesAIDS preventionAIDSAIDS epidemicOutcome variables
2005
Risk of HIV/AIDS in China: subpopulations of special importance
Qian Z, Vermund SH, Wang N. Risk of HIV/AIDS in China: subpopulations of special importance. Sexually Transmitted Infections 2005, 81: 442. PMID: 16326842, PMCID: PMC1745065, DOI: 10.1136/sti.2004.014258.Peer-Reviewed Original ResearchConceptsHIV/AIDS epidemicHIV/AIDSDrug usersAIDS epidemicFormidable treatment challengeInjection drug useSex workersMajor risk factorLow condom useCommercial plasma donationCommercial sex workersNew drug usersHigh-risk behaviorsRed blood cellsHIV infectionNeedle sharingRisk factorsRisk groupsTreatment challengesFuture HIVGeneral populationHomosexual menDrug useUnprotected sexCondom useThe Role of Substance Abuse in HIV Disease Progression: Reconciling Differences from Laboratory and Epidemiologic Investigations
Kapadia F, Vlahov D, Donahoe RM, Friedland G. The Role of Substance Abuse in HIV Disease Progression: Reconciling Differences from Laboratory and Epidemiologic Investigations. Clinical Infectious Diseases 2005, 41: 1027-1034. PMID: 16142670, DOI: 10.1086/433175.Peer-Reviewed Original ResearchConceptsHIV disease progressionDisease progressionEpidemiologic investigationsHIV/AIDS epidemicUse of licitEpidemiological studiesSubstance abuseStudy designDrug abuseAIDS epidemicCareful evaluationReview of findingsProgressionIllicit drugsLaboratory-based studiesMethodological strengthsFindingsAbuseMixed results
1999
Snapshot Estimators of Recent HIV Incidence Rates
Kaplan E, Brookmeyer R. Snapshot Estimators of Recent HIV Incidence Rates. Operations Research 1999, 47: 29-37. DOI: 10.1287/opre.47.1.29.Peer-Reviewed Original ResearchHIV incidence ratesHIV incidenceIncidence rateHIV prevention resourcesRecent HIV incidenceHIV prevention programsHIV/AIDS epidemicAIDS incidence dataRecent infectionPrevention programsIncubation time distributionIncidenceIncidence dataAIDS epidemicPrevention resourcesCertain markersInfectionLittle informationSample sizeCD4Progression
1998
Economic Evaluation and HIV Prevention Community Planning
Kaplan E. Economic Evaluation and HIV Prevention Community Planning. Aids Prevention And Mental Health 1998, 177-193. DOI: 10.1007/978-1-4899-1878-9_13.Peer-Reviewed Original ResearchLocal health departmentsHIV prevention programsHealth departmentsHIV preventionHIV prevention community planningPrevention programsTransmission of HIVHIV prevention activitiesCommunity planning groupsHIV prevention fundsHIV/AIDS epidemicLocal health officialsFiscal year 1994More infectionsNew infectionsDisease controlPrevention fundsAIDS epidemicHealth officialsPrevention activitiesHIVPlanning groupInfectionPreventionDepartment
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