2024
Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts
Suthar H, Manea T, Pak D, Woodbury M, Eick S, Cathey A, Watkins D, Strakovsky R, Ryva B, Pennathur S, Zeng L, Weller D, Park J, Smith S, DeMicco E, Padula A, Fry R, Mukherjee B, Aguiar A, Geiger S, Ng S, Huerta-Montanez G, Vélez-Vega C, Rosario Z, Cordero J, Zimmerman E, Woodruff T, Morello-Frosch R, Schantz S, Meeker J, Alshawabkeh A, Aung M, Outcomes O. Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts. Environmental Science And Technology 2024, 58: 8264-8277. PMID: 38691655, PMCID: PMC11097396, DOI: 10.1021/acs.est.4c00094.Peer-Reviewed Original ResearchConceptsPFAS mixtureLinear mixed modelsBioactive lipidsChild health outcomesCross-sectional associationsPrenatal PFAS exposureBioactive lipid levelsPoly-fluoroalkyl substancesQuantile g-computationMixed modelsGestational outcomesHealth outcomesPregnancy outcomesPregnant womenCombined cohortG-computationCohort analysisProgram cohortQuartile increaseLipid levelsCohortPositive associationMeta-analysisEnvironmental influencesPFAS exposure
2021
Incorporating 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 ResearchEfficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes
Bi W, Zhou W, Dey R, Mukherjee B, Sampson J, Lee S. Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes. American Journal Of Human Genetics 2021, 108: 825-839. PMID: 33836139, PMCID: PMC8206161, DOI: 10.1016/j.ajhg.2021.03.019.Peer-Reviewed Original ResearchConceptsOrdinal categorical phenotypesGenome-wide association studiesCategorical phenotypesGenome-wide significant variantsRare variantsPhenotype distributionControlled type I error ratesType I error rateMixed model approachArray genotypingAssociation studiesCommon variantsQuantitative traitsSignificant variantsLogistic mixed modelsLack of analysis toolsUK BiobankLinear mixed model approachPhenotypeAssociation TestVariantsMixed modelsSignificance levelMAFTraits
2019
Associations between childhood maltreatment latent classes and eating disorder symptoms in a nationally representative sample of young adults in the United States
Hazzard V, Bauer K, Mukherjee B, Miller A, Sonneville K. Associations between childhood maltreatment latent classes and eating disorder symptoms in a nationally representative sample of young adults in the United States. Child Abuse & Neglect 2019, 98: 104171. PMID: 31546098, PMCID: PMC6885127, DOI: 10.1016/j.chiabu.2019.104171.Peer-Reviewed Original ResearchConceptsEating disorder symptomsFasting/skipping mealsDisorder symptomsEating-related concernsChildhood maltreatmentPhysical abusePhysical neglectAssociated with eating disorder symptomsLatent classesSexual abuseAssociated with eating disordersChildhood physical neglectYoung adultsNationally representative sampleMulti-type maltreatmentMaltreatment profilesLogistic regression modelsEating disordersLatent class analysisCompensatory behaviorsU.S. young adultsHigh riskStudy of AdolescentLongitudinal Study of AdolescentRepresentative sample
2018
Influence of viral infection on the relationships between airway cytokines and lung function in asthmatic children
Lewis T, Metitiri E, Mentz G, Ren X, Carpenter A, Goldsmith A, Wicklund K, Eder B, Comstock A, Ricci J, Brennan S, Washington G, Owens K, Mukherjee B, Robins T, Batterman S, Hershenson M. Influence of viral infection on the relationships between airway cytokines and lung function in asthmatic children. Respiratory Research 2018, 19: 228. PMID: 30463560, PMCID: PMC6249926, DOI: 10.1186/s12931-018-0922-9.Peer-Reviewed Original ResearchConceptsViral infectionLung functionAbsence of viral infectionIL-13IL-4Viral-induced asthma exacerbationsRespiratory illnessRespiratory viral infectionsAssociated with increased cytokinesPro-inflammatory cytokinesLung function declineSelf-reported respiratory illnessInfluence of viral infectionAirway cytokinesMDA5 mRNACXCL10 mRNACytokine levelsAirway responsivenessNasal lavageAirflow obstructionAssociated with FVCAsthma exacerbationsAssociated with decreased lung functionInflammatory responseNasal samplesThe associations between prenatal exposure to triclocarban, phenols and parabens with gestational age and birth weight in northern Puerto Rico
Aker A, Ferguson K, Rosario Z, Mukherjee B, Alshawabkeh A, Cordero J, Meeker J. The associations between prenatal exposure to triclocarban, phenols and parabens with gestational age and birth weight in northern Puerto Rico. Environmental Research 2018, 169: 41-51. PMID: 30412856, PMCID: PMC6347499, DOI: 10.1016/j.envres.2018.10.030.Peer-Reviewed Original ResearchConceptsAssociated with gestational ageGestational ageOdds of SGAInfant sexBirth outcomesStudy visitsVisit 1Odds of preterm birthOdds of LGAAssociated with adverse birth outcomesBirthweight z-scoreBiomarker concentrationsAdverse birth outcomesPuerto Rico TestsitePreterm birthPregnant womenBirth weightUrinary biomarker concentrationsExposure biomarkersLogistic regression modelsVisit 3SGADecreased oddsZ-scoreCalculate oddsImpact of community respiratory viral infections in urban children with asthma
Lewis T, Metitiri E, Mentz G, Ren X, Goldsmith A, Eder B, Wicklund K, Walsh M, Comstock A, Ricci J, Brennan S, Washington G, Owens K, Mukherjee B, Robins T, Batterman S, Hershenson M, SteeringCommittee T. Impact of community respiratory viral infections in urban children with asthma. Annals Of Allergy Asthma & Immunology 2018, 122: 175-183.e2. PMID: 30385348, PMCID: PMC6360098, DOI: 10.1016/j.anai.2018.10.021.Peer-Reviewed Original ResearchConceptsRespiratory viral infectionsViral infectionBiomarker elevationAirway functionSymptom scoresUpper respiratory tract viral infectionC-C motif chemokine ligand (CCL)-2Fraction of exhaled nitric oxideRespiratory tract viral infectionsRespiratory illnessUpper respiratory viral infectionReduced airway functionC-X-C motif chemokine ligandUpper respiratory tract symptomsExhaled nitric oxideMelanoma differentiation-associated protein 5Respiratory tract symptomsRespiratory tract inflammationCold-like illnessMotif chemokine ligandNormal airway functionSelf-reported respiratory illnessChemokine levelsForced expiratory flowNasal biomarkersRisk Factors During Pregnancy and Early Childhood in Rural West Bengal, India: A Feasibility Study Implemented via Trained Community Health Workers Using Mobile Data Collection Devices
Wagner A, Xia L, Pandey P, Datta S, Chattopadhyay S, Mazumder T, Santra S, Nandi U, Pal J, Joshi S, Mukherjee B. Risk Factors During Pregnancy and Early Childhood in Rural West Bengal, India: A Feasibility Study Implemented via Trained Community Health Workers Using Mobile Data Collection Devices. Maternal And Child Health Journal 2018, 22: 1286-1296. PMID: 29500782, DOI: 10.1007/s10995-018-2509-y.Peer-Reviewed Original ResearchMeSH KeywordsAdultChildChild, PreschoolCommunity Health WorkersCross-Sectional StudiesFeasibility StudiesFemaleHealth Knowledge, Attitudes, PracticeHealth Services AccessibilityHumansIndiaInfantPregnancyPregnant WomenReferral and ConsultationRural Health ServicesRural PopulationSmartphoneYoung AdultConceptsCommunity health workersHealth workersFeasibility of community health workersRisk factorsPregnant womenTrained community health workersPrevalence of risk factorsRural communitiesHealth care servicesCross-sectional studyCare servicesBlood pressureAbnormal blood pressureAnthropometric measurementsYoung childrenAbnormal anthropometric measurementsVulnerable populationsRural West BengalStudy implementationHealth concernLower scoresStages QuestionnaireLower blood pressureWomenHealth
2017
Perceptions of measles, pneumonia, and meningitis vaccines among caregivers in Shanghai, China, and the health belief model: a cross-sectional study
Wagner A, Boulton M, Sun X, Mukherjee B, Huang Z, Harmsen I, Ren J, Zikmund-Fisher B. Perceptions of measles, pneumonia, and meningitis vaccines among caregivers in Shanghai, China, and the health belief model: a cross-sectional study. BMC Pediatrics 2017, 17: 143. PMID: 28606106, PMCID: PMC5468991, DOI: 10.1186/s12887-017-0900-2.Peer-Reviewed Original ResearchConceptsPneumococcal vaccine uptakeHealth Belief ModelBelief ModelHealth Belief Model constructsVaccine uptakeModels of health behaviorVaccine necessityHealth care workersCross-sectional studyLogistic regression modelsChinese caregiversCaregiver perceptionsHealth behaviorsCaregiversCare workersYears of agePneumococcal vaccineWritten surveyBackgroundIn ChinaHealthPerceived safetyRegression modelsYoung childrenChildrenMeasles vaccine
2016
On-time Measles and Pneumococcal Vaccination of Shanghai Children
Wagner A, Sun X, Huang Z, Ren J, Mukherjee B, Wells E, Boulton M. On-time Measles and Pneumococcal Vaccination of Shanghai Children. The Pediatric Infectious Disease Journal 2016, 35: e311-e317. PMID: 27294307, DOI: 10.1097/inf.0000000000001267.Peer-Reviewed Original ResearchConceptsPneumococcal conjugate vaccinePneumococcal conjugate vaccine administrationMeasles-containing vaccineMonths of ageShanghai Immunization Program Information SystemProportion of infant deathsShanghai childrenComparator vaccineDose 2Logistic regression modelsConjugate vaccineDose 1Pneumococcal vaccineImmunization scheduleVaccination outcomesInfant deathsPediatric immunization scheduleVaccineMonthsDisease control effortsLate vaccinationOddsAdministrationChina censusVaccination levelsThe impact of supplementary immunization activities on the epidemiology of measles in Tianjin, China
Wagner A, Zhang Y, Mukherjee B, Ding Y, Wells E, Boulton M. The impact of supplementary immunization activities on the epidemiology of measles in Tianjin, China. International Journal Of Infectious Diseases 2016, 45: 103-108. PMID: 26972042, PMCID: PMC4834250, DOI: 10.1016/j.ijid.2016.03.005.Peer-Reviewed Original ResearchConceptsRate ratiosSustainable public health interventionRate of measlesPublic health interventionsEstimate rate ratiosSupplemental immunization activitiesMeasles incidenceGeneralized estimating equationsNon-local migrantsHealth interventionsPoisson regressionNon-local residentsEstimating equationsEpidemiology of measlesExchangeable working correlation structureTemporal trendsMeasles casesCase countsResidentsImmune activationMeasles eliminationIncidenceUrban areasWorking correlation structureDisparities
2014
A Comparison of Exposure Metrics for Traffic-Related Air Pollutants: Application to Epidemiology Studies in Detroit, Michigan
Batterman S, Burke J, Isakov V, Lewis T, Mukherjee B, Robins T. A Comparison of Exposure Metrics for Traffic-Related Air Pollutants: Application to Epidemiology Studies in Detroit, Michigan. International Journal Of Environmental Research And Public Health 2014, 11: 9553-9577. PMID: 25226412, PMCID: PMC4199035, DOI: 10.3390/ijerph110909553.Peer-Reviewed Original ResearchConceptsTraffic-related air pollutionAir pollutionTraffic densityTraffic emissionsExposure metricsDispersion modelTransportation planning studiesSource of air pollutant emissionsComparison of exposure distributionNear-road environmentExposure to traffic-related air pollutionEmission densityAir pollutant emissionsAir pollution epidemiologyDispersion modeling systemVehicle mixEpidemiological studiesTraffic volumePollutant concentrationsSpatial variabilityResidential locationHealth risksTrafficPollutionProximity classification
2013
Associations between Extreme Precipitation and Gastrointestinal-Related Hospital Admissions in Chennai, India
Bush K, O’Neill M, Li S, Mukherjee B, Hu H, Ghosh S, Balakrishnan K. Associations between Extreme Precipitation and Gastrointestinal-Related Hospital Admissions in Chennai, India. Environmental Health Perspectives 2013, 122: 249-254. PMID: 24345350, PMCID: PMC3948034, DOI: 10.1289/ehp.1306807.Peer-Reviewed Original ResearchConceptsExtreme precipitationHospital admissionRisk ratioAssociated with extreme precipitationCumulative risk ratioWeather eventsClimate changePre-monsoon seasonLong-term time trendsDaily hospital admissionsHealth disparitiesMeteorological dataProjected changesGovernment hospitalsStratified analysisTime trendsDay of weekPrecipitationContext of vulnerabilityGeneralized additive modelApparent temperatureGI illnessCumulative summaryHealthAge groupsStatistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons
Sun Z, Tao Y, Li S, Ferguson K, Meeker J, Park S, Batterman S, Mukherjee B. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons. Environmental Health 2013, 12: 85. PMID: 24093917, PMCID: PMC3857674, DOI: 10.1186/1476-069x-12-85.Peer-Reviewed Original ResearchConceptsMultipollutant modelsHealth impacts of environmental factorsEffect estimatesExposure-response associationsExposure to multiple pollutantsTime series designConsequence of environmental exposureSample sizeHealth impactsEnvironmental exposuresPresence of multicollinearityRisk predictionPotential interactive effectsInitial screeningPollutant mixturesImpact of environmental factorsSupervised principal component analysisModel dimensionsStatistical literatureData examplesTree-based methodsMultiple pollutantsVariable selectionSimulation studyReduce model dimension
2012
Air pollution and respiratory symptoms among children with asthma: Vulnerability by corticosteroid use and residence area
Lewis T, Robins T, Mentz G, Zhang X, Mukherjee B, Lin X, Keeler G, Dvonch J, Yip F, O'Neill M, Parker E, Israel B, Max P, Reyes A, Committee C. Air pollution and respiratory symptoms among children with asthma: Vulnerability by corticosteroid use and residence area. The Science Of The Total Environment 2012, 448: 48-55. PMID: 23273373, PMCID: PMC4327853, DOI: 10.1016/j.scitotenv.2012.11.070.Peer-Reviewed Original ResearchConceptsParticulate matterAir pollutionAssociated with negative health impactsAmbient pollutant concentrationsAir quality standardsAmbient air pollutionAmbient particulate matterEffective risk reduction interventionsOdds of respiratory symptomsAsthmatic childrenFactors associated with heterogeneityAssociated with increased oddsObserved health effectsRespiratory symptomsRisk reduction interventionsPopulation of asthmatic childrenRespiratory symptom diariesOutdoor PMDaily concentrationsPollutant concentrationsMonitoring sitesGeneralized estimating equationsPollution modelLogistic regression modelsAerodynamic diameterNasal cytokine responses to natural colds in asthmatic children
Lewis T, Henderson T, Carpenter A, Ramirez I, McHenry C, Goldsmith A, Ren X, Mentz G, Mukherjee B, Robins T, Joiner T, Mohammad L, Nguyen E, Burns M, Burke D, Hershenson M. Nasal cytokine responses to natural colds in asthmatic children. Clinical & Experimental Allergy 2012, 42: 1734-1744. PMID: 23181789, PMCID: PMC4219353, DOI: 10.1111/cea.12005.Peer-Reviewed Original ResearchConceptsViral infectionMarker elevationSymptom scoresMarkers of viral infectionRespiratory viral infectionsRobust innate immune responsePresence of viral infectionRespiratory symptom scoresMultiplex immune assaysRespiratory tract symptomsSelf-reported respiratory illnessCCL11/eotaxin-1IFN-responsive genesInnate immune responseWeeks of assessmentNasal aspiratesCXCL10/IP-10CCL7/MCP-3IFN-gCCL2/MCP-1IRF7 mRNACXCL8/IL-8Asthma exacerbationsImmune responseMRNA signalPoint source modeling of matched case–control data with multiple disease subtypes
Li S, Mukherjee B, Batterman S. Point source modeling of matched case–control data with multiple disease subtypes. Statistics In Medicine 2012, 31: 3617-3637. PMID: 22826092, PMCID: PMC4331356, DOI: 10.1002/sim.5388.Peer-Reviewed Original ResearchConceptsAdjacent-category logit modelMarkov chain Monte Carlo techniquesEvaluate maximum likelihoodExtensive simulation studyProfile likelihoodHierarchical Bayesian approachCase-control dataSimulation studyBayesian approachMonte Carlo techniqueBayesian methodsMaximum likelihoodMultiple disease subtypesCategorical outcomesCovariate adjustmentNonlinear modelEstimation stabilityMedicaid claims dataCase-control designPediatric asthma populationAsthma populationElevated oddsMarkovLogit modelCovariatesParticulate matter concentrations in residences: an intervention study evaluating stand‐alone filters and air conditioners
Batterman S, Du L, Mentz G, Mukherjee B, Parker E, Godwin C, Chin J, O’Toole A, Robins T, Rowe Z, Lewis T. Particulate matter concentrations in residences: an intervention study evaluating stand‐alone filters and air conditioners. Indoor Air 2012, 22: 235-252. PMID: 22145709, PMCID: PMC4233141, DOI: 10.1111/j.1600-0668.2011.00761.x.Peer-Reviewed Original ResearchConceptsEnvironmental tobacco smokeIndoor air qualityParticulate matterPM levelsPM concentrationsExchange ratioIntervention studiesAir qualityHigh concentrations of particulate matterConcentrations of particulate matterEffectiveness of interventionsOutdoor PM levelsParticulate matter concentrationsAir filtersRandomized controlled trialsChild's sleeping areaCharacterize air qualityExposure misclassificationEffective interventionsTobacco smokeChild's bedroomIncreased particulate matterMatter concentrationHouseholds of childrenStudy population
2011
Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: Time-series and time-stratified case-crossover analyses with threshold effects
Li S, Batterman S, Wasilevich E, Wahl R, Wirth J, Su F, Mukherjee B. Association of daily asthma emergency department visits and hospital admissions with ambient air pollutants among the pediatric Medicaid population in Detroit: Time-series and time-stratified case-crossover analyses with threshold effects. Environmental Research 2011, 111: 1137-1147. PMID: 21764049, DOI: 10.1016/j.envres.2011.06.002.Peer-Reviewed Original ResearchConceptsAmbient air pollutionGeneralized additive modelCase-crossover designConditional logistic regressionPediatric Medicaid populationAir pollutionAsthma morbidityAssociated with ambient air pollutionMedicaid populationEffects of air pollutionAsthma emergency department visitsAdditive modelLogistic regressionConditional logistic regression modelsAcute asthma eventsAssociations of SO2Interquartile range increaseCase-crossover analysisEmergency department visitsCase-crossover studyPM2.5 concentrationsPM2.5 thresholdLogistic regression modelsStrong effect sizesPM2.5Bayesian Modeling for Genetic Anticipation in Presence of Mutational Heterogeneity: A Case Study in Lynch Syndrome
Boonstra P, Mukherjee B, Taylor J, Nilbert M, Moreno V, Gruber S. Bayesian Modeling for Genetic Anticipation in Presence of Mutational Heterogeneity: A Case Study in Lynch Syndrome. Biometrics 2011, 67: 1627-1637. PMID: 21627626, PMCID: PMC3176998, DOI: 10.1111/j.1541-0420.2011.01607.x.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAgedAnticipation, GeneticBayes TheoremChildChild, PreschoolColorectal Neoplasms, Hereditary NonpolyposisComputer SimulationDenmarkFemaleHumansInfantInfant, NewbornMaleMiddle AgedModels, GeneticModels, StatisticalMutationPolymorphism, Single NucleotidePrevalenceRisk AssessmentRisk FactorsYoung AdultConceptsLynch syndromeBirth cohortGenetic anticipationHereditary nonpolyposis colorectal cancerCancer registry dataNonpolyposis colorectal cancerDanish Cancer RegisterGenetic counseling clinicAge-specific incidenceHigh-risk familiesRandom-effects modelCancer RegisterRegistry dataCounseling clinicMismatch repairRandom effectsSecular trendsMedical practiceColorectal cancerSurvival analysis methodsEffects modelConfounding effectsLynchFlexible random effects modelModel fit diagnostics