2023
Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study
Rayo M, Faulkner D, Kline D, Thornhill T, Malloy S, Della Vella D, Morey D, Zhang N, Gonsalves G. Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study. JMIR Public Health And Surveillance 2023, 9: e39754. PMID: 37581924, PMCID: PMC10430782, DOI: 10.2196/39754.Peer-Reviewed Original ResearchConceptsSARS-CoV-2Patterns of Infectious Disease Associated With Injection Drug Use in Massachusetts
Gonsalves G, Paltiel A, Thornhill T, DeMaria A, Cranston K, Klevens R, Warren J. Patterns of Infectious Disease Associated With Injection Drug Use in Massachusetts. Clinical Infectious Diseases 2023, 76: 2134-2139. PMID: 36757712, PMCID: PMC10273381, DOI: 10.1093/cid/ciad073.Peer-Reviewed Original ResearchConceptsSoft tissue infectionsHuman immunodeficiency virusHepatitis C virusInjection drug useHCV casesInfective endocarditisHIV casesDrug useSubstance use disordersLogistic regression modelsClinical sequalaeSSTI casesPublic health crisisTissue infectionsImmunodeficiency virusDisease AssociatedHIV outbreakAbscess incisionC virusUse disordersInfectious diseasesInfectionMultiple outbreaksMedical proceduresSuch associationsGeographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019
Lu H, Crawford F, Gonsalves G, Grau L. Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019. Annals Of Epidemiology 2023, 79: 32-38. PMID: 36669599, PMCID: PMC10163838, DOI: 10.1016/j.annepidem.2023.01.009.Peer-Reviewed Original Research
2019
Suspected heroin-related overdoses incidents in Cincinnati, Ohio: A spatiotemporal analysis
Li ZR, Xie E, Crawford FW, Warren JL, McConnell K, Copple JT, Johnson T, Gonsalves GS. Suspected heroin-related overdoses incidents in Cincinnati, Ohio: A spatiotemporal analysis. PLOS Medicine 2019, 16: e1002956. PMID: 31714940, PMCID: PMC6850525, DOI: 10.1371/journal.pmed.1002956.Peer-Reviewed Original ResearchConceptsRisk of overdoseRisk of incidentBlock groupHarm reduction measuresPoisson regression modelsHighest overdose ratesOpioid misuseRisk factorsOpioid epidemicOpiate overdosesOverdose incidentsOpioid overdosesOverdose ratesNature of incidentsEmergency callsMale populationMedian household incomeTreatment programOverdose emergencyHealth policySpatiotemporal risk factorsLack of informationDemographic characteristicsHigher numberOverdoses
2018
Bayesian adaptive algorithms for locating HIV mobile testing services
Gonsalves GS, Copple JT, Johnson T, Paltiel AD, Warren JL. Bayesian adaptive algorithms for locating HIV mobile testing services. BMC Medicine 2018, 16: 155. PMID: 30173667, PMCID: PMC6120098, DOI: 10.1186/s12916-018-1129-0.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBayes TheoremHIV InfectionsHumansProspective StudiesSerologic TestsTelemedicineConceptsThompson SamplingSearch algorithmMobile testing serviceTesting activitiesSpatial correlationTesting resourcesAlgorithmBayesian adaptive algorithmPrior workHigh spatial correlationWeighting schemeAdaptive algorithmSearch strategySimulation modelPractical valueHierarchical modelServicesPerfect informationMobile HIV testing servicesInformationHIV testing resources
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