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
Exploring Parental Incarceration, US Government Support Programs, and Child Health and Well-Being: A National Cross-Sectional Study
Tolliver D, Hawks L, Holaday L, Wang E. Exploring Parental Incarceration, US Government Support Programs, and Child Health and Well-Being: A National Cross-Sectional Study. The Journal Of Pediatrics 2023, 264: 113764. PMID: 37777171, PMCID: PMC11451176, DOI: 10.1016/j.jpeds.2023.113764.Peer-Reviewed Original ResearchChild healthNational cross-sectional studyMental healthPhysical healthChild health dataAmerican Indians/Alaska NativesCross-sectional studyWorse child healthHealth dataGeneral healthChildren 6Higher oddsAttenuated associationOverall healthChild outcomesLogistic regressionWorse healthAlaska NativesProgram participationChildrenNational surveyOutcomesHealthAssociationParental incarceration