2019
Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from Brazil
Mabud TS, de Lourdes Delgado Alves M, Ko AI, Basu S, Walter KS, Cohen T, Mathema B, Colijn C, Lemos E, Croda J, Andrews JR. Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from Brazil. PLOS Medicine 2019, 16: e1002737. PMID: 30677013, PMCID: PMC6345418, DOI: 10.1371/journal.pmed.1002737.Peer-Reviewed Original ResearchConceptsIncidence of TBPrison-based interventionsTB incidenceGeneral populationTB casesCox proportional hazards modelNew TB casesControl of tuberculosisProportional hazards modelPaucity of dataTime of incarcerationTB burdenTB screeningTB riskTB transmissionTB ratesTB epidemicAdministrative databasesCommunity incidenceTuberculosis epidemicHazards modelTB databaseIncidenceEpidemiological contextIntervention
2018
Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study
Marx FM, Yaesoubi R, Menzies NA, Salomon JA, Bilinski A, Beyers N, Cohen T. Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study. The Lancet Global Health 2018, 6: e426-e435. PMID: 29472018, PMCID: PMC5849574, DOI: 10.1016/s2214-109x(18)30022-6.Peer-Reviewed Original ResearchConceptsHigh-incidence settingsIsoniazid preventive therapyPreventive therapyTuberculosis treatmentActive casesHIV prevalenceTuberculosis controlControl interventionsIncident tuberculosis casesPrevious tuberculosis treatmentTuberculosis control interventionsTB case notificationHigh-risk groupTransmission dynamic modelTuberculosis deathsHigh tuberculosisRecurrent diseasePrevalent tuberculosisTuberculosis casesTuberculosis incidenceCase notificationTreatment outcomesTuberculosis morbidityTuberculosis epidemicAdditional interventions
2012
Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data
Manjourides J, Lin HH, Shin S, Jeffery C, Contreras C, Santa Cruz J, Jave O, Yagui M, Asencios L, Pagano M, Cohen T. Identifying multidrug resistant tuberculosis transmission hotspots using routinely collected data. Tuberculosis 2012, 92: 273-279. PMID: 22401962, PMCID: PMC3323731, DOI: 10.1016/j.tube.2012.02.003.Peer-Reviewed Original ResearchConceptsDrug sensitivity testTransmission hotspotsRetreatment casesDrug-resistant tuberculosis epidemicRisk of MDRTime of diagnosisDrug-resistant diseaseTB casesResistant diseaseTuberculosis epidemicHigh riskUntreated casesProgrammatic dataMDRTBRiskMDRHigh levelsTargeted investigationGeographic areasCasesDiseaseDiagnosisSensitivity tests
2007
Emergent heterogeneity in declining tuberculosis epidemics
Colijn C, Cohen T, Murray M. Emergent heterogeneity in declining tuberculosis epidemics. Journal Of Theoretical Biology 2007, 247: 765-774. PMID: 17540410, PMCID: PMC2652758, DOI: 10.1016/j.jtbi.2007.04.015.Peer-Reviewed Original Research
2006
Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission
Cohen T, Colijn C, Finklea B, Murray M. Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission. Journal Of The Royal Society Interface 2006, 4: 523-531. PMID: 17251134, PMCID: PMC2373405, DOI: 10.1098/rsif.2006.0193.Peer-Reviewed Original ResearchConceptsTB control strategiesPublic health policy makersType of TBMolecular epidemiologic toolsHealth policy makersTB diseasePrimary diseasePrimary progressionTB incidenceRecent infectionTB transmissionTuberculosis diseaseInfectious disease transmissionTuberculosis epidemicRecent transmissionEpidemiological dataForce of infectionInfectious casesLatent infectionEpidemiologic toolInfectionMycobacterium tuberculosisSpecific populationsDiseaseEpidemic trajectories