2022
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 levelSettingExcess tuberculosis cases and deaths following an economic recession in Brazil: an analysis of nationally representative disease registry data
Li Y, de Macedo Couto R, Pelissari DM, Costa Alves L, Bartholomay P, Maciel EL, Sanchez M, Castro MC, Cohen T, Menzies NA. Excess tuberculosis cases and deaths following an economic recession in Brazil: an analysis of nationally representative disease registry data. The Lancet Global Health 2022, 10: e1463-e1472. PMID: 36049488, PMCID: PMC9472578, DOI: 10.1016/s2214-109x(22)00320-5.Peer-Reviewed Original ResearchConceptsNational Notifiable Diseases Information SystemTuberculosis casesTuberculosis deathsExcess casesTuberculosis case ratesTuberculosis transmissionCase ratesNotifiable Diseases Information SystemTuberculosis case notificationDisease registry dataMortality Information SystemMixed effects regression modelsSupplementary Materials sectionFraction of casesTuberculosis controlUS National InstitutesTuberculosis incidenceCase notificationRegistry dataExcess deathsAge groupsDeathPossible explanatory factorsNational InstituteYoung men
2020
Children as sentinels of tuberculosis transmission: disease mapping of programmatic data
Gunasekera KS, Zelner J, Becerra MC, Contreras C, Franke MF, Lecca L, Murray MB, Warren JL, Cohen T. Children as sentinels of tuberculosis transmission: disease mapping of programmatic data. BMC Medicine 2020, 18: 234. PMID: 32873309, PMCID: PMC7466499, DOI: 10.1186/s12916-020-01702-x.Peer-Reviewed Original ResearchConceptsNational Tuberculosis ProgrammeActive case-finding interventionsCase-finding interventionsTuberculosis transmissionNotification dataTuberculosis ProgrammeTuberculosis incidenceChild casesChildhood tuberculosis casesRecent transmission eventsProportion of casesCase notification dataMolecular epidemiological methodsMolecular epidemiologic methodsEndemic infectious diseasesTuberculosis casesProspective studyAdult casesDisease progressionNotification registerProgrammatic dataDistricts of LimaEpidemiological methodsInfectious diseasesTransmission hotspots
2018
Spatially targeted screening to reduce tuberculosis transmission in high-incidence settings
Cudahy PGT, Andrews JR, Bilinski A, Dowdy DW, Mathema B, Menzies NA, Salomon JA, Shrestha S, Cohen T. Spatially targeted screening to reduce tuberculosis transmission in high-incidence settings. The Lancet Infectious Diseases 2018, 19: e89-e95. PMID: 30554997, PMCID: PMC6401264, DOI: 10.1016/s1473-3099(18)30443-2.Peer-Reviewed Original ResearchConceptsTuberculosis incidenceLow tuberculosis incidence settingsActive case-finding strategyHigh tuberculosis (TB) incidence countriesCase-finding strategyTuberculosis control strategiesHigh-incidence settingsInfectious causesIncidence settingsIncidence countriesTuberculosis transmissionTreatment outcomesActive screeningOnward transmissionSystematic reviewInfectious individualsInfectious periodTuberculosisIncidenceDeathCauseProximal causeHIVMixed resultsMortalityWhere is tuberculosis transmission happening? Insights from the literature, new tools to study transmission and implications for the elimination of tuberculosis
Auld SC, Shah NS, Cohen T, Martinson NA, Gandhi NR. Where is tuberculosis transmission happening? Insights from the literature, new tools to study transmission and implications for the elimination of tuberculosis. Respirology 2018, 23: 807-817. PMID: 29869818, PMCID: PMC6281783, DOI: 10.1111/resp.13333.Peer-Reviewed Original ResearchTB control activitiesEvidence-based public health interventionsElimination of tuberculosisBurden of tuberculosisInfection control programCommunity-based transmissionPublic health interventionsCommunity-based settingsUnderstanding of transmissionMiddle-income countriesContact investigationTB incidenceTB transmissionTB epidemicTB strainsTuberculosis transmissionPatterns of transmissionHealth interventionsMeaningful improvementsNew casesMolecular epidemiologyTuberculosisControl activitiesOngoing transmissionVentilation studies
2017
Drivers of Tuberculosis Transmission
Mathema B, Andrews JR, Cohen T, Borgdorff MW, Behr M, Glynn JR, Rustomjee R, Silk BJ, Wood R. Drivers of Tuberculosis Transmission. The Journal Of Infectious Diseases 2017, 216: s644-s653. PMID: 29112745, PMCID: PMC5853844, DOI: 10.1093/infdis/jix354.Peer-Reviewed Original ResearchConceptsRecent transmissionTuberculosis transmissionTuberculosis casesCulture-positive tuberculosis casesInterferon-γ release assaysΓ release assaysTuberculin skin testMycobacterium tuberculosis infectionTuberculosis case notificationTransmission of tuberculosisPublic health systemPrevalent tuberculosisTuberculosis infectionSkin testIncident diseaseCase notificationClinical diseaseHealth systemCapacity of healthcareOngoing transmissionTuberculosisYoung childrenHighlight knowledge gapsInfection eventsWhole-genome sequencing
2016
Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models
Houben RMGJ, Menzies NA, Sumner T, Huynh GH, Arinaminpathy N, Goldhaber-Fiebert JD, Lin HH, Wu CY, Mandal S, Pandey S, Suen SC, Bendavid E, Azman AS, Dowdy DW, Bacaër N, Rhines AS, Feldman MW, Handel A, Whalen CC, Chang ST, Wagner BG, Eckhoff PA, Trauer JM, Denholm JT, McBryde ES, Cohen T, Salomon JA, Pretorius C, Lalli M, Eaton JW, Boccia D, Hosseini M, Gomez GB, Sahu S, Daniels C, Ditiu L, Chin DP, Wang L, Chadha VK, Rade K, Dewan P, Hippner P, Charalambous S, Grant AD, Churchyard G, Pillay Y, Mametja LD, Kimerling ME, Vassall A, White RG. Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models. The Lancet Global Health 2016, 4: e806-e815. PMID: 27720688, PMCID: PMC6375908, DOI: 10.1016/s2214-109x(16)30199-1.Peer-Reviewed Original ResearchConceptsEnd TB Strategy targetsPreventive therapyTuberculosis incidenceContinuous isoniazid preventive therapyGlobal tuberculosis targetsIsoniazid preventive therapySymptoms of tuberculosisActive case findingNational Tuberculosis ProgrammeEnd TB StrategyHigh-burden countriesAntiretroviral therapyLatent tuberculosisStrategy targetsTuberculosis burdenTuberculosis careTuberculosis ProgrammeTB StrategyTuberculosis transmissionHealth centersAdditional interventionsTuberculosis interventionsCase findingTuberculosis epidemiologyEpidemiological impactThe transmission of Mycobacterium tuberculosis in high burden settings
Yates TA, Khan PY, Knight GM, Taylor JG, McHugh TD, Lipman M, White RG, Cohen T, Cobelens FG, Wood R, Moore DA, Abubakar I. The transmission of Mycobacterium tuberculosis in high burden settings. The Lancet Infectious Diseases 2016, 16: 227-238. PMID: 26867464, DOI: 10.1016/s1473-3099(15)00499-5.Peer-Reviewed Original ResearchConceptsHigh-burden settingsBurden settingsTuberculosis infection controlMycobacterium tuberculosis transmissionEffects of HIVHealth care workersDrug-resistant strainsAntiretroviral therapyPerson transmissionTuberculosis transmissionInfection controlTransmission riskAirborne transmissionMycobacterium tuberculosisWells-Riley equationPresent research prioritiesTransmission dynamicsResearch prioritiesHIVEffective strategyTherapyTuberculosisSettingTrials
2015
Identifying Hotspots of Multidrug-Resistant Tuberculosis Transmission Using Spatial and Molecular Genetic Data
Zelner JL, Murray MB, Becerra MC, Galea J, Lecca L, Calderon R, Yataco R, Contreras C, Zhang Z, Manjourides J, Grenfell BT, Cohen T. Identifying Hotspots of Multidrug-Resistant Tuberculosis Transmission Using Spatial and Molecular Genetic Data. The Journal Of Infectious Diseases 2015, 213: 287-294. PMID: 26175455, PMCID: PMC4690150, DOI: 10.1093/infdis/jiv387.Peer-Reviewed Original ResearchConceptsMDR tuberculosisDrug susceptibilityTuberculosis casesMultidrug-resistant tuberculosis (MDR-TB) transmissionCulture-confirmed diseaseHealth Center areaProspective cohort studyCapita incidenceHousehold contactsCohort studyTuberculosis riskTuberculosis transmissionSymptomatic individualsHigh riskPositive culturesNumber tandem repeatRiskEtiology
2013
The Effect of HIV-Related Immunosuppression on the Risk of Tuberculosis Transmission to Household Contacts
Huang CC, Tchetgen ET, Becerra MC, Cohen T, Hughes KC, Zhang Z, Calderon R, Yataco R, Contreras C, Galea J, Lecca L, Murray M. The Effect of HIV-Related Immunosuppression on the Risk of Tuberculosis Transmission to Household Contacts. Clinical Infectious Diseases 2013, 58: 765-774. PMID: 24368620, PMCID: PMC3935504, DOI: 10.1093/cid/cit948.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusHousehold contactsIndex patientsCD4 countTuberculosis patientsTuberculosis transmissionHIV-negative tuberculosis patientsHIV-negative patientsHIV-positive patientsDrug-sensitive tuberculosisTuberculin skin testingTuberculosis infection statusRisk of infectionCoinfected PatientsActive tuberculosisTuberculosis infectionHIV statusSkin testingImmunodeficiency virusRisk factorsRelative riskPatientsTuberculosisInfection statusInfection
2012
The impact of new tuberculosis diagnostics on transmission: why context matters
Lin HH, Dowdy D, Dye C, Murray M, Cohen T. The impact of new tuberculosis diagnostics on transmission: why context matters. Bulletin Of The World Health Organization 2012, 90: 739-747. PMID: 23109741, PMCID: PMC3471051, DOI: 10.2471/blt.11.101436.Peer-Reviewed Original ResearchConceptsNew tuberculosis diagnosticsNew diagnostic toolsPatient lossHuman immunodeficiency virus (HIV) infectionTuberculosis diagnosticsSmear-negative pulmonary tuberculosisDiagnostic toolImmunodeficiency virus infectionTreatment success rateSmear-negative casesIncidence of tuberculosisEpidemiology of tuberculosisPatient defaultPulmonary tuberculosisTuberculosis careDiagnostic pathwayTuberculosis transmissionSymptomatic individualsVirus infectionSmear microscopyTuberculosisAnnual declineDiagnosisAbsolute changeSuccess rate
2010
The Impact of Realistic Age Structure in Simple Models of Tuberculosis Transmission
Brooks-Pollock E, Cohen T, Murray M. The Impact of Realistic Age Structure in Simple Models of Tuberculosis Transmission. PLOS ONE 2010, 5: e8479. PMID: 20062531, PMCID: PMC2797602, DOI: 10.1371/journal.pone.0008479.Peer-Reviewed Original ResearchConceptsSimple modelReproductive ratioRealistic age structureSteady-state dynamicsBasic reproductive ratioMathematical descriptionMathematical modelParameter estimationRepresentative of modelsAnalytic argumentsInterpretation of modelsTuberculosis transmissionModelling assumptionsTB modelControl interventionsTB natural historyChronic infectious diseaseDisease dynamicsPublic health interventionsRealistic distributionExponential lifetimesAsymptomatic latent infectionIndividual-based modelPrevalence of infectionActive disease
2005
Incident Tuberculosis among Recent US Immigrants and Exogenous Reinfection - Volume 11, Number 5—May 2005 - Emerging Infectious Diseases journal - CDC
Cohen T, Murray M. Incident Tuberculosis among Recent US Immigrants and Exogenous Reinfection - Volume 11, Number 5—May 2005 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2005, 11: 725-728. PMID: 15890129, PMCID: PMC3320369, DOI: 10.3201/eid1105.041107.Peer-Reviewed Original Research