Featured Publications
Spatial Variability in the Persistence of Pneumococcal Conjugate Vaccine-targeted Pneumococcal Serotypes Among Adults
Warren JL, Pingali SC, Weinberger DM. Spatial Variability in the Persistence of Pneumococcal Conjugate Vaccine-targeted Pneumococcal Serotypes Among Adults. Epidemiology 2017, 28: 119-126. PMID: 27541841, PMCID: PMC5131859, DOI: 10.1097/ede.0000000000000551.Peer-Reviewed Original ResearchConceptsVaccine-targeted serotypesInvasive pneumococcal disease casesPneumococcal disease casesDirect vaccinationDisease casesInvasive pneumococcal diseaseConjugate vaccinePneumococcal diseaseVaccine serotypesVaccine uptakePneumococcal serotypesLeading causeBaseline proportionRate of declineNumber of casesAdult populationVaccinationStudy periodVaccineSerotypesAdultsChildrenHigh levelsMorbidityGeographic regions
2024
Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer
Siddique S, Baum L, Deziel N, Kelly J, Warren J, Ma X. Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer. PLOS ONE 2024, 19: e0311540. PMID: 39471191, PMCID: PMC11521299, DOI: 10.1371/journal.pone.0311540.Peer-Reviewed Original ResearchConceptsAge-of-onset colorectal cancerEarly-onset colorectal cancerEnd Results Program dataCenters for Disease Control and Prevention dataCounty-level factorsColorectal cancerHealth risk behaviorsIdentified principal componentsOdds of survivalPreventive servicesSurvival disparitiesLinear mixed modelsEOCRCChronic diseasesPreventive factorsUS countiesSalt Lake CountyCA residentsRisk behaviorsUnited StatesProgram dataCounty-levelOlder ageBayesian analytical approachYounger agePreterm and Early-Term Delivery After Heat Waves in 50 US Metropolitan Areas
Darrow L, Huang M, Warren J, Strickland M, Holmes H, Newman A, Chang H. Preterm and Early-Term Delivery After Heat Waves in 50 US Metropolitan Areas. JAMA Network Open 2024, 7: e2412055. PMID: 38787560, PMCID: PMC11127119, DOI: 10.1001/jamanetworkopen.2024.12055.Peer-Reviewed Original ResearchConceptsEarly-term birthPreterm birthCohort studyMetropolitan statistical areasAssociated with pregnancy outcomesEarly-term deliveryRate ratiosRates of pretermYears of ageNational Center for Health StatisticsGestational weeksCenter for Health StatisticsInduced deliveryPregnancy outcomesSingleton birthsPretermSocioeconomically disadvantaged subgroupsUS birthsEligible birthsPerinatal healthEthnic minority groupsBirth recordsConsecutive daysBirthHeat waves
2023
Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke
Forman R, Okumu R, Mageid R, Baker A, Neu D, Parker R, Peyravi R, Schindler J, Sansing L, Sheth K, de Havenon A, Jasne A, Narula R, Wira C, Warren J, Sharma R. Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke. Neurology 2023, 102: e207764. PMID: 38165368, PMCID: PMC10834135, DOI: 10.1212/wnl.0000000000207764.Peer-Reviewed Original ResearchMeSH KeywordsEmergency Medical ServicesHospitalsHumansIschemic StrokeSocioeconomic FactorsStrokeUnited StatesConceptsEmergency department arrival timesEmergency medical servicesLate presentationAcute ischemic stroke therapyYale-New Haven HospitalGuidelines-Stroke registryNeighborhood-level socioeconomic factorsPatient-level factorsRetrospective observational studyIschemic stroke therapyMixed-effects logistic regression modelNon-white patientsNon-white raceUnivariate logistic regressionNew Haven HospitalLogistic regression modelsHospital presentationTreatment ineligibilityStroke RegistryAcute strokeHospital arrivalStroke therapyUnivariate analysisObservational studyPatientsGlobal, regional, and national estimates of tuberculosis incidence and case detection among incarcerated individuals from 2000 to 2019: a systematic analysis
Martinez L, Warren J, Harries A, Croda J, Espinal M, Olarte R, Avedillo P, Lienhardt C, Bhatia V, Liu Q, Chakaya J, Denholm J, Lin Y, Kawatsu L, Zhu L, Horsburgh C, Cohen T, Andrews J. Global, regional, and national estimates of tuberculosis incidence and case detection among incarcerated individuals from 2000 to 2019: a systematic analysis. The Lancet Public Health 2023, 8: e511-e519. PMID: 37393090, PMCID: PMC10323309, DOI: 10.1016/s2468-2667(23)00097-x.Peer-Reviewed Original ResearchConceptsTuberculosis incidenceCase detection ratioIncidence rateCase detectionHigh tuberculosis incidence ratesGlobal tuberculosis control effortsIncident tuberculosis casesTuberculosis incidence rateIncarcerated individualsTuberculosis control effortsTuberculosis case detectionTuberculosis casesNotification ratesNational incidenceTuberculosis notificationsGlobal incidenceHigh riskPrevalence estimatesNational estimatesWHO regionsIncidenceStudy periodMeta-regression frameworkTuberculosisNational InstituteDevelopment of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis
Gunasekera K, Marcy O, Muñoz J, Lopez-Varela E, Sekadde M, Franke M, Bonnet M, Ahmed S, Amanullah F, Anwar A, Augusto O, Aurilio R, Banu S, Batool I, Brands A, Cain K, Carratalá-Castro L, Caws M, Click E, Cranmer L, García-Basteiro A, Hesseling A, Huynh J, Kabir S, Lecca L, Mandalakas A, Mavhunga F, Myint A, Myo K, Nampijja D, Nicol M, Orikiriza P, Palmer M, Sant'Anna C, Siddiqui S, Smith J, Song R, Thuong Thuong N, Ung V, van der Zalm M, Verkuijl S, Viney K, Walters E, Warren J, Zar H, Marais B, Graham S, Debray T, Cohen T, Seddon J. Development of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis. The Lancet Child & Adolescent Health 2023, 7: 336-346. PMID: 36924781, PMCID: PMC10127218, DOI: 10.1016/s2352-4642(23)00004-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAlgorithmsChildHumansRetrospective StudiesTriageTuberculosisTuberculosis, PulmonaryUnited StatesConceptsTreatment decision algorithmsPrimary health care settingsIndividual participant dataHigh tuberculosis incidencePulmonary tuberculosisManagement of tuberculosisHealth care centersComposite reference standardHealth care settingsClinical featuresTuberculosis incidenceClinical evaluationParticipant dataTreatment decisionsChest X-ray featuresPrimary health care centersFuture prospective evaluationTuberculosis-related mortalityEvidence-based algorithmChest X-rayVariable diagnostic performanceMultivariable prediction modelReference standardEvidence-based approachTuberculosis expertsPatterns of Infectious Disease Associated With Injection Drug Use in Massachusetts
Gonsalves G, Paltiel A, Thornhill T, DeMaria A, Cranston K, Klevens R, Warren J. Patterns of Infectious Disease Associated With Injection Drug Use in Massachusetts. Clinical Infectious Diseases 2023, 76: 2134-2139. PMID: 36757712, PMCID: PMC10273381, DOI: 10.1093/cid/ciad073.Peer-Reviewed Original ResearchConceptsSoft tissue infectionsHuman immunodeficiency virusHepatitis C virusInjection drug useHCV casesInfective endocarditisHIV casesDrug useSubstance use disordersLogistic regression modelsClinical sequalaeSSTI casesPublic health crisisTissue infectionsImmunodeficiency virusDisease AssociatedHIV outbreakAbscess incisionC virusUse disordersInfectious diseasesInfectionMultiple outbreaksMedical proceduresSuch associationsAssociations Between Long-Term Air Pollutant Exposure and 30-Day All-Cause Hospital Readmissions in US Patients With Stroke
Tran P, Warren J, Leifheit E, Goldstein L, Lichtman J. Associations Between Long-Term Air Pollutant Exposure and 30-Day All-Cause Hospital Readmissions in US Patients With Stroke. Stroke 2023, 54: e126-e129. PMID: 36729388, PMCID: PMC11059199, DOI: 10.1161/strokeaha.122.042265.Peer-Reviewed Original ResearchConceptsLong-term air pollutant exposureAir pollutant exposureCause hospital readmissionHospital readmissionPollutant exposureMedicare beneficiaries agePerformance categoriesMatter 2.5Sulfur dioxide exposureCause readmission measureIschemic strokeStroke incidenceUS patientsHospital characteristicsSD increaseReadmissionCox modelReadmission measuresBeneficiaries ageLong-term exposureStrokePatientsMedicaid ServicesParticulate matter 2.5US fee