Quantifying Mycobacterium tuberculosis Transmission Dynamics Across Global Settings: A Systematic Analysis
Smith J, Cohen T, Dowdy D, Shrestha S, Gandhi NR, Hill AN. Quantifying Mycobacterium tuberculosis Transmission Dynamics Across Global Settings: A Systematic Analysis. American Journal Of Epidemiology 2022, 192: 133-145. PMID: 36227246, PMCID: PMC10144641, DOI: 10.1093/aje/kwac181.Peer-Reviewed Original ResearchConceptsTB transmissionOngoing TB transmissionMinority of casesTuberculosis transmission dynamicsTB controlTuberculosis transmissionSecondary casesSources of heterogeneityInclusion criteriaSurveillance studyTransmission clustersInitial searchTransmission dynamicsWhole-genome sequencingPopulation levelSettingCharacterizing tuberculosis transmission dynamics in high-burden urban and rural settings
Smith JP, Oeltmann JE, Hill AN, Tobias JL, Boyd R, Click ES, Finlay A, Mondongo C, Zetola NM, Moonan PK. Characterizing tuberculosis transmission dynamics in high-burden urban and rural settings. Scientific Reports 2022, 12: 6780. PMID: 35474076, PMCID: PMC9042872, DOI: 10.1038/s41598-022-10488-2.Peer-Reviewed Original ResearchConceptsTuberculosis transmission dynamicsHigh TB burden countriesPopulation-based molecular epidemiology studiesLocal TB epidemiologyHigh-burden settingsTB burden countriesRural settingsTransmission dynamicsRural populationMolecular epidemiology studiesBurden countriesEffective reproductive numberIncident casesTB epidemiologyTB transmissionMedian numberSecondary casesInfectious casesEpidemiology studiesFirst outbreakReproductive numberSecondary transmissionPopulationCritical roleSettingTuberculosis attributed to transmission within healthcare facilities, Botswana—The Kopanyo Study
Smith JP, Modongo C, Moonan PK, Dima M, Matsiri O, Fane O, Click ES, Boyd R, Finlay A, Surie D, Tobias JL, Zetola NM, Oeltmann JE. Tuberculosis attributed to transmission within healthcare facilities, Botswana—The Kopanyo Study. Infection Control And Hospital Epidemiology 2022, 43: 1603-1609. PMID: 35382909, PMCID: PMC9535034, DOI: 10.1017/ice.2021.517.Peer-Reviewed Original ResearchConceptsElectronic medical recordsHealthcare facilitiesPopulation-based molecular epidemiologic studyMolecular epidemiologic studiesTB casesTB diagnosisTB transmissionTB epidemicMedical recordsTuberculosis diseaseBiologic plausibilityHealthcare workersIndividual patientsEpidemiologic studiesGeneral populationCommunity transmissionEtiologic agentTreatment dataClinical encountersPatientsEffective interventionsIndividual riskEMR dataTransmission eventsHigh-risk environmentsModel-based Analysis of Tuberculosis Genotype Clusters in the United States Reveals High Degree of Heterogeneity in Transmission and State-level Differences Across California, Florida, New York, and Texas
Shrestha S, Winglee K, Hill A, Shaw T, Smith J, Kammerer JS, Silk BJ, Marks S, Dowdy D. Model-based Analysis of Tuberculosis Genotype Clusters in the United States Reveals High Degree of Heterogeneity in Transmission and State-level Differences Across California, Florida, New York, and Texas. Clinical Infectious Diseases 2022, 75: 1433-1441. PMID: 35143641, PMCID: PMC9412192, DOI: 10.1093/cid/ciac121.Peer-Reviewed Original ResearchConceptsTB casesTB transmissionKey public health priorityPublic health priorityMechanistic transmission modelsTB incidenceTuberculosis transmissionSecondary casesHealth priorityInfectious casesTransmission clustersDisease controlMean numberR0 estimatesUnited StatesWhole-genome sequencingSame countyGenotype clustersState-level differencesSecondary transmissionCasesIncidence