2022
Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis
Clark-Boucher D, Boss J, Salvatore M, Smith J, Fritsche L, Mukherjee B. Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis. PLOS ONE 2022, 17: e0269017. PMID: 35877617, PMCID: PMC9312965, DOI: 10.1371/journal.pone.0269017.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsCOVID-19-related outcomesCOVID-19 testingSurvey respondentsSelf-reported outcomesSelf-reported dataCOVID-19 outcomesElectronic recordsSurvey dataCOVID-19Prediction modelModel contextSurveyCOVID-19 diagnosisOutcomesPredictor variablesDigital surveyData sourcesCoronavirus disease 2019RespondentsPredictorsCOVID-19 casesDiagnosisRecords
2021
Exposure and risk factors for COVID-19 and the impact of staying home on Michigan residents
Wu K, Hornsby W, Klunder B, Krause A, Driscoll A, Kulka J, Bickett-Hickok R, Fellows A, Graham S, Kaleba E, Hayek S, Shi X, Sutton N, Douville N, Mukherjee B, Jamerson K, Brummett C, Willer C. Exposure and risk factors for COVID-19 and the impact of staying home on Michigan residents. PLOS ONE 2021, 16: e0246447. PMID: 33556117, PMCID: PMC7870003, DOI: 10.1371/journal.pone.0246447.Peer-Reviewed Original ResearchConceptsAfrican AmericansAnnual household income <Worsening health behaviorsLong-term health outcomesHousehold income <Low socioeconomic statusExposure to family membersHigher overall concernHigh riskExposure to familyHigh risk of contracting COVID-19Positive COVID-19 testLow-income groupsHealth behaviorsHealth outcomesRates of COVID-19 casesRental housingSocioeconomic statusClinical careRisk of contracting COVID-19COVID-19 preventionChronic diseasesInequality gapState of MichiganCOVID-19 cases