2024
Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning
Malloy G, Puglisi L, Bucklen K, Harvey T, Wang E, Brandeau M. Predicting COVID-19 Outbreaks in Correctional Facilities Using Machine Learning. MDM Policy & Practice 2024, 9: 23814683231222469. PMID: 38293655, PMCID: PMC10826393, DOI: 10.1177/23814683231222469.Peer-Reviewed Original ResearchPennsylvania Department of CorrectionsDepartment of CorrectionsCorrectional facilitiesPrison facilitiesIncarcerated populationsCounty-level measuresFacility populationSources of dataRisk of infectious disease transmissionPrisonCommunity ratesInfectious disease outbreaksCOVID-19 outbreakLiving conditionsCOVID-19Infectious disease transmissionFacility-level characteristicsMeasures of COVID-19Reduced accessResponse decisionsTotal populationJailHealth dataLogistic regressionFacility data
2023
HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration
Johnson K, Hunt T, Puglisi L, Chapman B, Epa-Llop A, Elumn J, Braick P, Bhagat N, Ko E, Nguyen A, Johnson R, Graham H, Gilbert L, El-Bassel N, Morse D. HIV/STI/HCV Risk Clusters and Hierarchies Experienced by Women Recently Released from Incarceration. Healthcare 2023, 11: 1066. PMID: 37107900, PMCID: PMC10137919, DOI: 10.3390/healthcare11081066.Peer-Reviewed Original ResearchHard drug useHCV outcomesRisk clustersCross-sectional clusterEvidence-based interventionsOnly significant predictorHCV riskTransition clinicSTI outcomesHIV interventionsHigher oddsTransition interventionsDrug useSociodemographic characteristicsLogistic regressionLifetime traumaMental healthLogistic regression methodSubstance useWomenSignificant predictorsIntimate partner violenceInterventionRegression analysisOutcomes