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
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 sizesPM2.5