2018
Using community health workers to refer pregnant women and young children to health care facilities in rural West Bengal, India: A prospective cohort study
Wagner A, Xia L, Ghosh A, Datta S, Pandey P, Santra S, Chattopadhyay S, Nandi U, Mazumder T, Joshi S, Pal J, Mukherjee B. Using community health workers to refer pregnant women and young children to health care facilities in rural West Bengal, India: A prospective cohort study. PLOS ONE 2018, 13: e0199607. PMID: 29928057, PMCID: PMC6013192, DOI: 10.1371/journal.pone.0199607.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultChild, PreschoolCommunity Health WorkersDeveloping CountriesDevelopmental DisabilitiesFeasibility StudiesFemaleFollow-Up StudiesHumansIndiaInfantLongitudinal StudiesMaleMothersPatient Acceptance of Health CarePregnancyPregnancy ComplicationsProspective StudiesReferral and ConsultationRisk FactorsRural PopulationVulnerable PopulationsYoung AdultConceptsCommunity health workersCommunity health worker visitsHealth behaviorsMothers of young childrenHealth careHealth workersPregnant womenHealth of vulnerable populationsOverall health behaviorsPositive health outcomesPreventive health careRisk of pregnancy-related complicationsRural areasHealth care facilitiesEarly childhood developmental delaysMothers of childrenRural areas of IndiaYoung childrenChildhood developmental delayPregnancy-related complicationsHealth outcomesCare facilitiesMedical characteristicsRe-contactedCareRisk 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
Latent variable models for gene–environment interactions in longitudinal studies with multiple correlated exposures
Tao Y, Sánchez B, Mukherjee B. Latent variable models for gene–environment interactions in longitudinal studies with multiple correlated exposures. Statistics In Medicine 2014, 34: 1227-1241. PMID: 25545894, PMCID: PMC4355187, DOI: 10.1002/sim.6401.Peer-Reviewed Original ResearchMeSH KeywordsBiostatisticsChild, PreschoolComputer SimulationEnvironmental ExposureFemaleGene-Environment InteractionHemochromatosis ProteinHistocompatibility Antigens Class IHumansInfantInfant, NewbornLead PoisoningLongitudinal StudiesMembrane ProteinsMexicoModels, GeneticModels, StatisticalPolymorphism, Single NucleotidePregnancyPrenatal Exposure Delayed EffectsConceptsGene-environment interactionsOutcome measuresCohort studyHealth effects of environmental exposuresEnvironmental exposuresInvestigate health effectsGene-environment associationsEffects of environmental exposuresEarly life exposuresLV frameworkG x E effectsMultivariate exposuresGenotyped single nucleotide polymorphismsEffect modificationShrinkage estimatorsLife exposureExposure measurementsSingle nucleotide polymorphismsData-adaptive wayMultiple testingOutcome dataLongitudinal studyLongitudinal natureGenetic factorsNucleotide polymorphisms
2011
Bayesian 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 diagnosticsAsthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan
Li S, Batterman S, Wasilevich E, Elasaad H, Wahl R, Mukherjee B. Asthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan. Environmental Health 2011, 10: 34. PMID: 21513554, PMCID: PMC3224543, DOI: 10.1186/1476-069x-10-34.Peer-Reviewed Original ResearchConceptsConditional logistic regressionPopulation-based matched case-control studyPediatric Medicaid populationCase-control studyMedicaid populationProximity of residenceLogistic regressionConditional logistic regression modelsElevated risk of asthmaRisk of asthmaEmergency department visitsCase-control analysisLogistic regression modelsHigh-risk populationTraffic-related pollutantsAsthma outcomesDepartment visitsAsthma eventsAsthma claimAsthma-related eventsAsthma casesEcological biasOdds ratioInvestigate associationsMethodThis study