Featured Publications
Exploring the Big Data Paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)
Yang Y, Dempsey W, Han P, Deshmukh Y, Richardson S, Tom B, Mukherjee B. Exploring the Big Data Paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS). Science Advances 2024, 10: eadj0266. PMID: 38820165, PMCID: PMC11314312, DOI: 10.1126/sciadv.adj0266.Peer-Reviewed Original ResearchCharacteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System
Gu T, Mack J, Salvatore M, Sankar S, Valley T, Singh K, Nallamothu B, Kheterpal S, Lisabeth L, Fritsche L, Mukherjee B. Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System. JAMA Network Open 2020, 3: e2025197. PMID: 33084902, PMCID: PMC7578774, DOI: 10.1001/jamanetworkopen.2020.25197.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBetacoronavirusBlack or African AmericanComorbidityCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2FemaleHealth Status DisparitiesHospitalizationHumansIntensive Care UnitsKidney DiseasesMaleMichiganMiddle AgedNeoplasmsObesityOdds RatioPandemicsPneumonia, ViralPopulation DensityRetrospective StudiesRisk FactorsSARS-CoV-2White PeopleConceptsAssociated with higher riskInternational Classification of DiseasesRisk of hospitalizationPreexisting type 2 diabetesHigher risk of hospitalizationClassification of DiseasesType 2 diabetesCOVID-19 outcomesRacial/ethnic disparitiesWhite patientsBlack patientsIntensive care unitInternational ClassificationResidential-level socioeconomic characteristicsOdds ratioStatistically significant racial differencesHigh riskAssociated with higher risk of hospitalizationNon-Hispanic blacksAssociation of risk factorsNon-Hispanic whitesMichigan Department of HealthAssociated with increased risk of hospitalizationComorbidity scoreDepartment of Health
2023
Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case study
Meah S, Shi X, Fritsche L, Salvatore M, Wagner A, Martin E, Mukherjee B. Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case study. Science Advances 2023, 9: eadj3747. PMID: 38117882, PMCID: PMC10732535, DOI: 10.1126/sciadv.adj3747.Peer-Reviewed Original ResearchUncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks
Fritsche L, Nam K, Du J, Kundu R, Salvatore M, Shi X, Lee S, Burgess S, Mukherjee B. Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks. PLOS Genetics 2023, 19: e1010907. PMID: 38113267, PMCID: PMC10763941, DOI: 10.1371/journal.pgen.1010907.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresMichigan Genomics InitiativeUK BiobankPre-existing conditionsPhenome-wide association studyAssociation studiesCohort-specific analysesPolygenic risk score approachUK Biobank cohortMeta-analysisIncreased risk of hospitalizationGenome-wide association studiesBody mass indexRisk of hospitalizationIdentified novel associationsRisk score approachCOVID-19 outcome dataCOVID-19 hospitalizationCOVID-19Mass indexRisk scoreBiobankCardiovascular conditionsCOVID-19 severityIncreased riskCOVID-19 outcomes by cancer status, site, treatment, and vaccination
Salvatore M, Hu M, Beesley L, Mondul A, Pearce C, Friese C, Fritsche L, Mukherjee B. COVID-19 outcomes by cancer status, site, treatment, and vaccination. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 748-759. PMID: 36626383, DOI: 10.1158/1055-9965.epi-22-0607.Peer-Reviewed Original ResearchConceptsCOVID-19 outcomesCancer statusCancer diagnosisAssociated with higher ratesElectronic health record dataHealth record dataColorectal cancerIncreased riskAcademic medical centerKidney cancerCancer-free patientsIntensive care unit admissionCancer sitesAssociated with lower ratesChemotherapy receiptHigher ratesCOVID-19 precautionsRecord dataCOVID-19Logistic regressionMedical CenterUnit admissionRetrospective cohortVaccination statusLung cancer
2022
Current Challenges With the Use of Test-Negative Designs for Modeling COVID-19 Vaccination and Outcomes
Shi X, Li K, Mukherjee B. Current Challenges With the Use of Test-Negative Designs for Modeling COVID-19 Vaccination and Outcomes. American Journal Of Epidemiology 2022, 192: 328-333. PMID: 36446573, PMCID: PMC10372864, DOI: 10.1093/aje/kwac203.Peer-Reviewed Original ResearchA Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns
Haupert S, Shi X, Chen C, Fritsche L, Mukherjee B. A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns. Journal Of Biomedical Informatics 2022, 136: 104237. PMID: 36283580, PMCID: PMC9595430, DOI: 10.1016/j.jbi.2022.104237.Peer-Reviewed Original ResearchConceptsPhenome-wide association studyPost-COVID-19 conditionCOVID-19 survivorsCohort of COVID-19 survivorsAssociation studiesMental health disordersConditional logistic regressionWithin-person confoundingSARS-CoV-2 infectionRobust study designsProportion of COVID-19 survivorsPost-COVID-19Healthcare needsMental healthSARS-CoV-2Circulatory diseasesPhenotype codesHealth disordersSARS-CoV-2 positivityStudy designSARS-CoV-2 positive patientsLogistic regressionPheWASPost-COVID-19 infectionCOVID-19Assessing 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 ResearchMeSH KeywordsCOVID-19COVID-19 TestingElectronic Health RecordsHumansSelf ReportSurveys and QuestionnairesConceptsElectronic 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 casesDiagnosisRecordsGlobal Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review
Chen C, Haupert S, Zimmermann L, Shi X, Fritsche L, Mukherjee B. Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review. The Journal Of Infectious Diseases 2022, 226: 1593-1607. PMID: 35429399, PMCID: PMC9047189, DOI: 10.1093/infdis/jiac136.Peer-Reviewed Original ResearchConceptsPost-COVID-19 conditionCondition prevalenceMeta-analysisGlobal prevalenceHealth effects of COVID-19Prevalence of post-COVID-19 conditionRegional prevalence estimationHealthcare systemPrevalence estimatesPooled prevalencePost-COVID-19Systematic reviewDerSimonian-Laird estimatorMeta-analyzedMemory problemsHealth effectsPrevalenceEffects of COVID-19Post-coronavirus disease 2019Long COVIDCOVID-19COVID-19 conditionsNonhospitalized patientsUnited StatesExtending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy
Bhaduri R, Kundu R, Purkayastha S, Kleinsasser M, Beesley L, Mukherjee B, Datta J. Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy. Statistics In Medicine 2022, 41: 2317-2337. PMID: 35224743, PMCID: PMC9035093, DOI: 10.1002/sim.9357.Peer-Reviewed Original Research
2021
Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond
Du J, Beesley L, Lee S, Zhou X, Dempsey W, Mukherjee B. Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond. Statistics In Medicine 2021, 41: 310-327. PMID: 34697824, PMCID: PMC8661762, DOI: 10.1002/sim.9238.Peer-Reviewed Original ResearchConceptsHigh-risk patient populationRapid antigen testDiagnostic testsPatient populationRisk patient populationSARS-CoV-2 viral infectionViral diagnostic testsCentral public health challengeAntigen testPatient characteristicsTimely diagnostic testingPublic health challengePublic health decision-makingViral infectionHealth decision-makingPreventing severe diseaseSevere diseaseRT-PCRCOVID-19 pandemicHumane shelter at home: a call to reimagine a core pandemic intervention
Subbaraman R, Ganapathi L, Mukherjee B, Bloom D, Solomon S. Humane shelter at home: a call to reimagine a core pandemic intervention. BMJ Global Health 2021, 6: e006614. PMID: 34353818, PMCID: PMC8349640, DOI: 10.1136/bmjgh-2021-006614.Peer-Reviewed Original ResearchEstimating the wave 1 and wave 2 infection fatality rates from SARS-CoV-2 in India
Purkayastha S, Kundu R, Bhaduri R, Barker D, Kleinsasser M, Ray D, Mukherjee B. Estimating the wave 1 and wave 2 infection fatality rates from SARS-CoV-2 in India. BMC Research Notes 2021, 14: 262. PMID: 34238344, PMCID: PMC8264482, DOI: 10.1186/s13104-021-05652-2.Peer-Reviewed Original ResearchConceptsFatality rateEstimating COVID-19‒ Related Mortality in India: An Epidemiological Challenge With Insufficient Data
Zimmermann L, Salvatore M, Babu G, Mukherjee B. Estimating COVID-19‒ Related Mortality in India: An Epidemiological Challenge With Insufficient Data. American Journal Of Public Health 2021, 111: s59-s62. PMID: 34314196, PMCID: PMC8495647, DOI: 10.2105/ajph.2021.306419.Peer-Reviewed Original ResearchA comparison of five epidemiological models for transmission of SARS-CoV-2 in India
Purkayastha S, Bhattacharyya R, Bhaduri R, Kundu R, Gu X, Salvatore M, Ray D, Mishra S, Mukherjee B. A comparison of five epidemiological models for transmission of SARS-CoV-2 in India. BMC Infectious Diseases 2021, 21: 533. PMID: 34098885, PMCID: PMC8181542, DOI: 10.1186/s12879-021-06077-9.Peer-Reviewed Original ResearchCOVID-19 Pandemic in India: Through the Lens of Modeling
Babu G, Ray D, Bhaduri R, Halder A, Kundu R, Menon G, Mukherjee B. COVID-19 Pandemic in India: Through the Lens of Modeling. Global Health Science And Practice 2021, 9: 220-228. PMID: 34234020, PMCID: PMC8324184, DOI: 10.9745/ghsp-d-21-00233.Peer-Reviewed Original ResearchIndia's COVID-19 crisis: a call for international action
Kuppalli K, Gala P, Cherabuddi K, Kalantri S, Mohanan M, Mukherjee B, Pinto L, Prakash M, Pramesh C, Rathi S, Pai N, Yamey G, Pai M. India's COVID-19 crisis: a call for international action. The Lancet 2021, 397: 2132-2135. PMID: 34000256, PMCID: PMC8120195, DOI: 10.1016/s0140-6736(21)01121-1.Peer-Reviewed Original ResearchIncorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates
Bhattacharyya R, Kundu R, Bhaduri R, Ray D, Beesley L, Salvatore M, Mukherjee B. Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates. Scientific Reports 2021, 11: 9748. PMID: 33963259, PMCID: PMC8105357, DOI: 10.1038/s41598-021-89127-1.Peer-Reviewed Original ResearchExposure 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
2020
Patterns of repeated diagnostic testing for COVID‐19 in relation to patient characteristics and outcomes
Salerno S, Zhao Z, Sankar S, Salvatore M, Gu T, Fritsche L, Lee S, Lisabeth L, Valley T, Mukherjee B. Patterns of repeated diagnostic testing for COVID‐19 in relation to patient characteristics and outcomes. Journal Of Internal Medicine 2020, 289: 726-737. PMID: 33253457, PMCID: PMC7753604, DOI: 10.1111/joim.13213.Peer-Reviewed Original ResearchConceptsAssociated with repeat testingFalse-negative rateNeighborhood poverty levelPre-existing type 2 diabetesSevere COVID-19-related outcomesDiagnostic testsPatient characteristicsPre-existing kidney diseaseBody mass indexICU-level careHealth outcomesCOVID-19-related outcomesCharacteristics of patientsCOVID-19 diagnostic testsType 2 diabetesMichigan MedicineMass indexCOVID-19Pain symptomsPatient agePoverty levelDownstream outcomesKidney diseaseRepeated testingLiver disease