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 Research
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
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 Research
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 ResearchMeSH KeywordsAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansIncidenceInfantMaleMeaslesMiddle AgedVaccinationConceptsRate 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