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
COVID-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
A 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-19Extending 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 rateCOVID-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 Research
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