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
2022
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
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
Estimating 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 rateEstimating COVID-19‒ Related Mortality in India: An Epidemiological Challenge With Insufficient Data
Zimmermann L, Salvatore M, Babu G, Mukherjee B. Estimating COVID-19‒ Related Mortality in India: An Epidemiological Challenge With Insufficient Data. American Journal Of Public Health 2021, 111: s59-s62. PMID: 34314196, PMCID: PMC8495647, DOI: 10.2105/ajph.2021.306419.Peer-Reviewed Original ResearchA comparison of five epidemiological models for transmission of SARS-CoV-2 in India
Purkayastha S, Bhattacharyya R, Bhaduri R, Kundu R, Gu X, Salvatore M, Ray D, Mishra S, Mukherjee B. A comparison of five epidemiological models for transmission of SARS-CoV-2 in India. BMC Infectious Diseases 2021, 21: 533. PMID: 34098885, PMCID: PMC8181542, DOI: 10.1186/s12879-021-06077-9.Peer-Reviewed Original ResearchCOVID-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
Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations
Salvatore M, Basu D, Ray D, Kleinsasser M, Purkayastha S, Bhattacharyya R, Mukherjee B. Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations. BMJ Open 2020, 10: e041778. PMID: 33303462, PMCID: PMC7733201, DOI: 10.1136/bmjopen-2020-041778.Peer-Reviewed Original ResearchConceptsEffective public health interventionsPublic health interventionsPublic health evaluationPublic health metricsAverage daily numberHealth interventionsState-level trendsHealth metricsTest positivity rateCohort studyCase fatality rateHealth evaluationNational trendsCOVID-19Holistic assessmentDaily numberConfirmed COVID-19 casesCOVID-19 pandemicNational patternsNational lockdownInterventionCOVID-19 outbreakFatality rateCase countsState-wise variations
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
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 groups
2011
Lead exposure and visual-motor abilities in children from Chennai, India
Palaniappan K, Roy A, Balakrishnan K, Gopalakrishnan L, Mukherjee B, Hu H, Bellinger D. Lead exposure and visual-motor abilities in children from Chennai, India. NeuroToxicology 2011, 32: 465-470. PMID: 21510976, PMCID: PMC3115626, DOI: 10.1016/j.neuro.2011.03.011.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsBiomarkersChildChild BehaviorChild DevelopmentChild, PreschoolCross-Sectional StudiesDeveloping CountriesEnvironmental ExposureEnvironmental PollutantsFemaleHumansIndiaLeadLead Poisoning, Nervous System, ChildhoodLinear ModelsMaleNeuropsychological TestsPsychomotor PerformanceRisk AssessmentRisk FactorsSocioeconomic FactorsConceptsHigher blood lead levelsBlood lead levelsEducation levelMotor Ability TestUrban Indian childrenVisual-motor abilitiesCross-sectional studyMother's education levelFather's education levelAverage monthly incomeIndian childrenVisuo-motor developmentLead levelsMotor composite scoresMean blood lead levelLead exposureVisual-motorMonthly incomeDose-effect relationshipVisual-motor integrationComposite scoreSchool children
2010
Hemoglobin, Lead Exposure, and Intelligence Quotient: Effect Modification by the DRD2 Taq IA Polymorphism
Roy A, Hu H, Bellinger D, Mukherjee B, Modali R, Nasaruddin K, Schwartz J, Wright R, Ettinger A, Palaniapan K, Balakrishnan K. Hemoglobin, Lead Exposure, and Intelligence Quotient: Effect Modification by the DRD2 Taq IA Polymorphism. Environmental Health Perspectives 2010, 119: 144-149. PMID: 21205584, PMCID: PMC3018494, DOI: 10.1289/ehp.0901878.Peer-Reviewed Original ResearchConceptsDRD2 Taq IA polymorphismIntelligence quotientIQ pointsAssociated with higher IQDopamine D2 receptorsScale of IntelligenceProtective effect of hemoglobinLog blood leadD2 receptorsDRD2 polymorphismsHigher IQDRD2IA categoriesLead exposureCognitionGeneralized estimating equationsSignificant public health issueChildrenIntelligenceEffects of leadAnimal studiesChildren 3DopamineMassARRAY iPLEX platformHigher hemoglobin levels