2017
An Adaptive Approach to Locating Mobile HIV Testing Services
Gonsalves GS, Crawford FW, Cleary PD, Kaplan EH, Paltiel AD. An Adaptive Approach to Locating Mobile HIV Testing Services. Medical Decision Making 2017, 38: 262-272. PMID: 28699382, PMCID: PMC5748375, DOI: 10.1177/0272989x17716431.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBayes TheoremComputer SimulationHIV InfectionsHumansMass ScreeningMobile Health UnitsPrevalenceConceptsMobile HIV testingHIV testingMobile HIV testing servicesHIV testing resourcesUndetected HIV infectionHIV testing servicesCase detection ratePublic health agenciesUndiagnosed HIVHIV infectionHIV testHIV prevalenceUnknown prevalenceMore casesHealth agenciesDefinitions of hotspotsPrevalence informationTesting servicesPrevalenceSelection biasDetection rateSearch strategyHIV
2014
Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness
Bassett IV, Govindasamy D, Erlwanger AS, Hyle EP, Kranzer K, van Schaik N, Noubary F, Paltiel AD, Wood R, Walensky RP, Losina E, Bekker LG, Freedberg KA. Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness. PLOS ONE 2014, 9: e85197. PMID: 24465503, PMCID: PMC3898963, DOI: 10.1371/journal.pone.0085197.Peer-Reviewed Original ResearchConceptsIncremental cost-effectiveness ratioFacility-based testingHIV screeningHIV diagnosisFacility-based HIV testingFrequency of HIVUndiagnosed HIV prevalenceEarly HIV diagnosisLife expectancyMobile screening unitCost-effectiveness ratioResource-limited settingsCD4 countUndiagnosed HIVHIV testingHIV prevalenceCape TownClinical impactPopulation life expectancyMedical costsHIVScreening unitIntervention costsDiagnosisMedical facilities