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 ResearchMeSH KeywordsAdultBig DataCOVID-19COVID-19 VaccinesFemaleHumansIndiaMaleMiddle AgedSARS-CoV-2Surveys and QuestionnairesVaccination
2023
Cohort profile: Epidemiologic Questionnaire (EPI-Q) – a scalable, app-based health survey linked to electronic health record and genotype data
Salvatore M, Clark-Boucher D, Fritsche L, Ortlieb J, Houghtby J, Driscoll A, Caldwell-Larkins B, Smith J, Brummett C, Kheterpal S, Lisabeth L, Mukherjee B. Cohort profile: Epidemiologic Questionnaire (EPI-Q) – a scalable, app-based health survey linked to electronic health record and genotype data. Epidemiology And Health 2023, 45: e2023074. PMID: 37591787, PMCID: PMC10867525, DOI: 10.4178/epih.e2023074.Peer-Reviewed Original ResearchMeSH KeywordsElectronic Health RecordsFemaleGenotypeHealth SurveysHumansMaleMiddle AgedMobile ApplicationsRetrospective StudiesSurveys and QuestionnairesConceptsElectronic health recordsHealth recordsSelf-reported health dataFamily health historyEpidemiological questionnaireCancer screeningHealth cohortHealth SurveyHealth historyFinancial toxicityBaseline surveyEHR dataHealth dataCohort dataEPI-QAverage ageOccupational exposureGenotype dataParticipantsGenotype informationInstitutional review board approvalResponse rateCohortLife meaningQuestionnaire
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 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 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 ResearchMeSH KeywordsAdultAgedBlack or African AmericanCommunicable Disease ControlComorbidityCOVID-19FemaleHumansMaleMichiganMiddle AgedRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesTravelConceptsAfrican 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
2016
Association of Environmental Toxins With Amyotrophic Lateral Sclerosis
Su F, Goutman S, Chernyak S, Mukherjee B, Callaghan B, Batterman S, Feldman E. Association of Environmental Toxins With Amyotrophic Lateral Sclerosis. JAMA Neurology 2016, 73: 803-11. PMID: 27159543, PMCID: PMC5032145, DOI: 10.1001/jamaneurol.2016.0594.Peer-Reviewed Original ResearchMeSH KeywordsAgedAmyotrophic Lateral SclerosisCase-Control StudiesEnvironmental ExposureEnvironmental PollutantsFemaleGas Chromatography-Mass SpectrometryHumansMaleMichiganMiddle AgedMultivariate AnalysisOccupational ExposureOdds RatioOutcome Assessment, Health CareRetrospective StudiesRisk FactorsSurveys and QuestionnairesConceptsBrominated flame retardantsPersistent environmental pollutantsResidential exposureOrganochlorine pesticidesPolychlorinated biphenylsOdds of ALSAssociation of occupational exposureDisease risk factorsExposure time windowsEnvironmental pollutionRisk factorsModifiable risk factorsMultivariate modelOccupational exposureLogistic regression modelsCase-control studySurvey dataFamily history of amyotrophic lateral sclerosisExposure windowsIncreased oddsFamily historyAssociated with amyotrophic lateral sclerosisHistory of amyotrophic lateral sclerosisRegression modelsMilitary service
2013
Urinary phthalate metabolite concentrations among pregnant women in Northern Puerto Rico: Distribution, temporal variability, and predictors
Cantonwine D, Cordero J, Rivera-González L, Del Toro L, Ferguson K, Mukherjee B, Calafat A, Crespo N, Jiménez-Vélez B, Padilla I, Alshawabkeh A, Meeker J. Urinary phthalate metabolite concentrations among pregnant women in Northern Puerto Rico: Distribution, temporal variability, and predictors. Environment International 2013, 62: 1-11. PMID: 24161445, PMCID: PMC3874859, DOI: 10.1016/j.envint.2013.09.014.Peer-Reviewed Original ResearchConceptsMono-3-carboxypropyl phthalateMono-ethyl phthalateUrinary phthalate metabolite concentrationsMono-carboxyisooctyl phthalatePhthalate metabolite concentrationsPregnant womenMono-carboxyisononyl phthalatePhthalate metabolitesMono-2-ethylhexyl phthalatePhthalate biomarkersDetectable concentrations of phthalate metabolitesMono-2-ethyl-5-oxohexyl phthalateMetabolite concentrationsMono-2-ethyl-5-carboxypentyl phthalateConcentrations of phthalate metabolitesMono-2-ethyl-5-carboxypentylUrinary phthalate biomarkersMono-2-ethyl-5-hydroxyhexyl phthalateWomen of reproductive ageUrine samplesAssociated with phthalate exposureMono-isobutyl phthalateMono-n-butyl phthalateMono-benzyl phthalateIntraclass correlation coefficientDistribution, Variability, and Predictors of Urinary Concentrations of Phenols and Parabens among Pregnant Women in Puerto Rico
Meeker J, Cantonwine D, Rivera-González L, Ferguson K, Mukherjee B, Calafat A, Ye X, Del Toro L, Crespo-Hernández N, Jiménez-Vélez B, Alshawabkeh A, Cordero J. Distribution, Variability, and Predictors of Urinary Concentrations of Phenols and Parabens among Pregnant Women in Puerto Rico. Environmental Science And Technology 2013, 47: 3439-3447. PMID: 23469879, PMCID: PMC3638245, DOI: 10.1021/es400510g.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBiomarkersConfidence IntervalsDemographyEnvironmental MonitoringFemaleHumansNutrition SurveysParabensPhenolsPregnancyPuerto RicoSurveys and QuestionnairesConceptsBenzophenone-3Bisphenol AConcentrations of bisphenol AConcentrations of triclosanPuerto RicoUrinary concentrations of triclosanNorthern Puerto RicoConcentration of phenolHuman exposureB-PbTriclosanIntraclass correlation coefficientFrequent detectionUrinary concentrationsMethyl parabenParabensPropyl parabenEndocrine-related diseasesPregnant womenReduce exposureButyl parabenWomen of reproductive agePuerto Rican pregnant womenConcentrationRico
2011
Occupational noise exposure assessment using O*NET and its application to a study of hearing loss in the US general population
Choi Y, Hu H, Tak S, Mukherjee B, Park S. Occupational noise exposure assessment using O*NET and its application to a study of hearing loss in the US general population. Occupational And Environmental Medicine 2011, 69: 176. PMID: 21725070, PMCID: PMC3277688, DOI: 10.1136/oem.2011.064758.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedFemaleHearing Loss, Noise-InducedHumansMaleMiddle AgedNoise, OccupationalNutrition SurveysRisk AssessmentSurveys and QuestionnairesUnited StatesYoung AdultConceptsNational Health and Nutrition Examination SurveyPure-tone averageHearing lossNoise scoresGeneral populationStudy of hearing lossNoise-induced health effectsHealth and Nutrition Examination SurveyNutrition Examination SurveyNoise exposure assessmentUS general populationNoise exposure dataLogistic regression modelsHearing thresholdsOccupational noiseExamination SurveyExposure to soundExposure assessmentPotential confoundersEpidemiological researchScore quintilesQuintileAssessment toolOccupational categoriesEpidemiological evidence
2010
A new comorbidity index: the health-related quality of life comorbidity index
Mukherjee B, Ou H, Wang F, Erickson S. A new comorbidity index: the health-related quality of life comorbidity index. Journal Of Clinical Epidemiology 2010, 64: 309-319. PMID: 21147517, DOI: 10.1016/j.jclinepi.2010.01.025.Peer-Reviewed Original ResearchMeSH KeywordsAdultComorbidityHealth StatusHumansQuality of LifeRisk AssessmentSeverity of Illness IndexSurveys and QuestionnairesConceptsClinical classification codesPhysical component summaryMedical Expenditure Panel SurveyMental component summaryHealth-related qualityComponent summaryAssociated with physical component summaryHealth-related quality of life comorbidity indexShort Form-12 Physical Component SummaryMEPS databaseMeasures of HRQLComorbidity indexRisk adjustment indexChronic conditionsPanel SurveyRegression modelsInternal validityPatient populationAdjustment indicesClassification codesHRQLSummaryValidation testsIndexModel R2