2023
Tabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States
Swartwood N, Testa C, Cohen T, Marks S, Hill A, Beeler Asay G, Cochran J, Cranston K, Randall L, Tibbs A, Horsburgh C, Salomon J, Menzies N. Tabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States. BMC Medicine 2023, 21: 331. PMID: 37649031, PMCID: PMC10469407, DOI: 10.1186/s12916-023-02785-y.Peer-Reviewed Original ResearchConceptsLatent tuberculosis infectionTB outcomesDistrict of ColumbiaTreatment of LTBIIncremental cost-effectiveness ratioTB incidence rateTuberculosis disease burdenQuality-adjusted life yearsCost-effectiveness ratioPublic health agenciesTB casesTB preventionTB incidenceTuberculosis infectionTB epidemiologyDisease burdenIncidence rateService utilizationAdditional interventionsIncidence projectionsLife yearsDemographic dataSocietal perspectiveHealth agenciesPrevention approaches
2021
Incidence and prevalence of tuberculosis in incarcerated populations: a systematic review and meta-analysis
Cords O, Martinez L, Warren JL, O’Marr J, Walter KS, Cohen T, Zheng J, Ko AI, Croda J, Andrews JR. Incidence and prevalence of tuberculosis in incarcerated populations: a systematic review and meta-analysis. The Lancet Public Health 2021, 6: e300-e308. PMID: 33765455, PMCID: PMC8168455, DOI: 10.1016/s2468-2667(21)00025-6.Peer-Reviewed Original ResearchConceptsPrevalence of tuberculosisIncidence of tuberculosisM tuberculosis infectionIncidence rate ratiosTuberculosis infectionGeneral populationSystematic reviewSouth-East Asia RegionIncarcerated populationsPopulation-level incidenceMycobacterium tuberculosis infectionRate ratioTuberculosis Control ProgrammeLILACS electronic databasesWHO Eastern Mediterranean RegionWHO South-East Asia RegionWeb of KnowledgeCohort studyUS National InstitutesSubgroup analysisPooled estimatesHigh riskElectronic databasesPreventive interventionsTuberculosis
2020
Risk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort study
Cudahy PGT, Wilson D, Cohen T. Risk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort study. BMC Infectious Diseases 2020, 20: 789. PMID: 33097000, PMCID: PMC7585300, DOI: 10.1186/s12879-020-05515-4.Peer-Reviewed Original ResearchConceptsM. tuberculosis infectionRecurrent tuberculosisSuccessful treatmentTuberculosis recurrenceHazard ratioSmear gradeTuberculosis infectionRisk factorsSmear-positive pulmonary tuberculosisCox proportional hazards modelSputum smear gradeRepetitive unit-variable number tandem repeat (MIRU-VNTR) typingHigh-burden settingsRisk of recurrenceProportional hazards modelSuccessful treatment completionRecurrent diseaseCohort studyPulmonary tuberculosisBurden settingsClinical presentationRecurrent episodesInitial episodeNumber tandem repeat typingTreatment completionTime Since Infection and Risks of Future Disease for Individuals with Mycobacterium tuberculosis Infection in the United States
Menzies NA, Swartwood N, Testa C, Malyuta Y, Hill AN, Marks SM, Cohen T, Salomon JA. Time Since Infection and Risks of Future Disease for Individuals with Mycobacterium tuberculosis Infection in the United States. Epidemiology 2020, 32: 70-78. PMID: 33009253, PMCID: PMC7707158, DOI: 10.1097/ede.0000000000001271.Peer-Reviewed Original ResearchConceptsLatent TB infectionMycobacterium tuberculosis infectionTB infectionTuberculosis infectionTB natural historyRisk of tuberculosisMost TB casesRate of progressionYounger age groupsLower future riskTransmission dynamic modelTB casesTB riskPrevalent infectionProgression riskLifetime riskRisk factorsIncidence trendsClinical diseaseCumulative riskGeneral populationAverage ageNew infectionsUS populationAge groupsThe risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis
Martinez L, Cords O, Horsburgh C, Andrews J, Consortium P, Acuna-Villaorduna C, Ahuja S, Altet N, Augusto O, Baliashvili D, Basu S, Becerra M, Bonnet M, Boom W, Borgdorff M, Boulahbal F, Carvalho A, Cayla J, Chakhaia T, Chan P, Cohen T, Croda J, Datta S, del Corral H, Denholm J, Dietze R, Dobler C, Donkor S, Egere U, Ellner J, Espinal M, Evans C, Fang C, Fielding K, Fox G, García L, García-Basteiro A, Geis S, Graham S, Grandjean L, Hannoun D, Hatherill M, Hauri A, Hesseling A, Hill P, Huang L, Huerga H, Hussain R, Jarlsberg L, Jones-López E, Kato S, Kato-Maeda M, Kampmann B, Kirchner H, Kritski A, Lange C, Lee C, Lee L, Lee M, Lemos A, Lienhardt C, Ling D, Liu Q, Lo N, Long R, Lopez-Varela E, Lu P, Magee M, Malone L, Mandalakas A, Martinson N, Mazahir R, Murray M, Netto E, Otero L, Parsonnet J, Reingold A, Schaaf H, Seddon J, Sharma S, Singh J, Singh S, Sloot R, Sotgiu G, Stein C, Iqbal N, Triasih R, Trieu L, van der Loeff M, Van der Stuyft P, van Schalkwyk C, Vashishtha R, Verhagen L, Villalba J, Wang J, Whalen C, Yoshiyama T, Zar H, Zellweger J, Zhu L. The risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis. The Lancet 2020, 395: 973-984. PMID: 32199484, PMCID: PMC7289654, DOI: 10.1016/s0140-6736(20)30166-5.Peer-Reviewed Original ResearchConceptsYears of agePreventive therapyIncident tuberculosisTuberculosis infectionHazard ratioTuberculosis casesMixed-effects Poisson regression modelsSystematic reviewFinal analysisClose exposureIncident tuberculosis casesRisk of tuberculosisDevelopment of tuberculosisEMBASE electronic databasesIndividual participant dataPositive resultsPoisson regression modelsWeb of ScienceMixed-effects logistic modelBCG vaccinationCohort studyBaseline visitPrevalent tuberculosisContact investigationProspective study
2019
Transmissibility and potential for disease progression of drug resistant Mycobacterium tuberculosis: prospective cohort study
Becerra MC, Huang CC, Lecca L, Bayona J, Contreras C, Calderon R, Yataco R, Galea J, Zhang Z, Atwood S, Cohen T, Mitnick CD, Farmer P, Murray M. Transmissibility and potential for disease progression of drug resistant Mycobacterium tuberculosis: prospective cohort study. The BMJ 2019, 367: l5894. PMID: 31649017, PMCID: PMC6812583, DOI: 10.1136/bmj.l5894.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAntitubercular AgentsChildChild, PreschoolContact TracingDisease ProgressionFemaleFollow-Up StudiesHumansIncidenceInfantInfant, NewbornIsoniazidKaplan-Meier EstimateMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisPeruProspective StudiesRifampinSputumTuberculin TestTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryYoung AdultConceptsDrug-sensitive tuberculosisMultidrug-resistant tuberculosisHousehold contactsProspective cohort studySensitive tuberculosisTuberculosis infectionResistant tuberculosisCohort studyTuberculosis diseaseHigh riskDrug-resistant Mycobacterium tuberculosisIncident tuberculosis diseasePhenotypic drug resistanceDistrict Health CenterResistant Mycobacterium tuberculosisDrug-susceptible strainsDrug resistance profilesActive diseasePulmonary tuberculosisDisease progressionGuideline producersHealth centersIndex patientsEffective treatmentPatients
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 sequencingPolyclonal Pulmonary Tuberculosis Infections and Risk for Multidrug Resistance, Lima, Peru - Volume 23, Number 11—November 2017 - Emerging Infectious Diseases journal - CDC
Nathavitharana RR, Shi CX, Chindelevitch L, Calderon R, Zhang Z, Galea JT, Contreras C, Yataco R, Lecca L, Becerra MC, Murray MB, Cohen T. Polyclonal Pulmonary Tuberculosis Infections and Risk for Multidrug Resistance, Lima, Peru - Volume 23, Number 11—November 2017 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2017, 23: 1887-1890. PMID: 29048297, PMCID: PMC5652442, DOI: 10.3201/eid2311.170077.Peer-Reviewed Original ResearchConceptsTreatment of tuberculosisHost Mycobacterium tuberculosis diversityMultidrug-resistant TBInfectious Diseases journal - CDCPulmonary TB patientsPulmonary tuberculosis infectionTB patientsTuberculosis infectionPolyclonal infectionsSimple infectionMultidrug resistanceInfectionPatientsTuberculosisPrevalenceDiagnosis
2016
Within-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study
Cohen T, Chindelevitch L, Misra R, Kempner ME, Galea J, Moodley P, Wilson D. Within-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study. The Journal Of Infectious Diseases 2016, 213: 1796-1799. PMID: 26768249, PMCID: PMC4857469, DOI: 10.1093/infdis/jiw014.Peer-Reviewed Original ResearchConceptsMonths of treatmentMycobacterium tuberculosis infectionTuberculosis infectionTreatment responsePoor early treatment responseProspective cohort studyInitiation of treatmentM. tuberculosis infectionRepetitive units-variable numberEarly treatment responsePersistent culture positivityCohort studyClinical managementCulture positivityHigher oddsInfectionTuberculosisPrevalenceTreatmentMonthsResponsePatientsKwaZulu-NatalHost heterogeneityPositivity
2014
Magnitude and sources of bias in the detection of mixed strain M. tuberculosis infection
Plazzotta G, Cohen T, Colijn C. Magnitude and sources of bias in the detection of mixed strain M. tuberculosis infection. Journal Of Theoretical Biology 2014, 368: 67-73. PMID: 25553967, PMCID: PMC7011203, DOI: 10.1016/j.jtbi.2014.12.009.Peer-Reviewed Original ResearchConceptsMixed infectionsM. tuberculosis infectionIncidence of TBOutcome of treatmentPopulation-level interventionsFraction of casesTuberculosis infectionMinority strainsActual prevalenceInfected individualsInfectionStudy designMycobacterium tuberculosisPrevalenceSputumTuberculosisDistinct strainsDifferent strainsSources of biasPrevious studiesPatientsSpecific reasonsIncidenceIndividualsAge-Specific Risks of Tuberculosis Infection From Household and Community Exposures and Opportunities for Interventions in a High-Burden Setting
Zelner JL, Murray MB, Becerra MC, Galea J, Lecca L, Calderon R, Yataco R, Contreras C, Zhang Z, Grenfell BT, Cohen T. Age-Specific Risks of Tuberculosis Infection From Household and Community Exposures and Opportunities for Interventions in a High-Burden Setting. American Journal Of Epidemiology 2014, 180: 853-861. PMID: 25190676, PMCID: PMC4188339, DOI: 10.1093/aje/kwu192.Peer-Reviewed Original ResearchConceptsLatent tuberculosis infectionHousehold contactsAge-specific riskYears of ageTuberculosis infectionLarge population-based prospective cohort studyPopulation-based prospective cohort studyHousehold exposureBacillus Calmette-Guérin (BCG) vaccineIncident pulmonary tuberculosisCommunity exposureProspective cohort studyCalmette-Guérin vaccineHigh-burden settingsPublic Health CenterCommunity-based transmissionRisk of infectionCohort studyLTBI prevalencePreventive therapyPulmonary tuberculosisTuberculosis patientsTuberculosis casesHousehold transmissionExcess risk
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 statusInfectionEvaluation of the Tuberculosis Strain Typing Service (TB-STS) in England
Mears J, Vynnycky E, Lord J, Borgdorff M, Cohen T, Abubakar I, Sonnenberg P, group O. Evaluation of the Tuberculosis Strain Typing Service (TB-STS) in England. The Lancet 2013, 382: s73. DOI: 10.1016/s0140-6736(13)62498-8.Peer-Reviewed Original ResearchTuberculosis incidenceProportion of infectionsDiagnostic delayBase-case assumptionsLatent infectionPulmonary tuberculosis casesTuberculosis control effortsHigh-incidence settingsMycobacterium tuberculosis isolatesCluster investigationsTuberculosis notification ratesPost-implementation dataComplex public health interventionsPopulation-level interventionsPublic health interventionsMIRU-VNTR typingTuberculosis infectionTuberculosis casesPreventive treatmentPublic health outcomesNotification ratesTuberculosis isolatesSenior Research FellowshipDeterministic compartmental modelProportion of individualsIsoniazid-resistant Tuberculosis in Children
Yuen CM, Tolman AW, Cohen T, Parr JB, Keshavjee S, Becerra MC. Isoniazid-resistant Tuberculosis in Children. The Pediatric Infectious Disease Journal 2013, 32: e217-e226. PMID: 23348808, PMCID: PMC3709006, DOI: 10.1097/inf.0b013e3182865409.Peer-Reviewed Original ResearchConceptsIsoniazid-resistant tuberculosisLatent tuberculosis infectionTuberculosis diseaseTuberculosis infectionIsoniazid resistancePediatric tuberculosis patientsTreatment of childrenIsoniazid-resistant strainsReports of childrenEffective regimensTuberculosis patientsTuberculosis treatmentAppropriate treatmentInclusion criteriaMedian proportionSystematic reviewRifampin resistanceDiseaseTuberculosisRegimensChildrenTreatmentInfectionIsoniazidHigher proportion
2012
Mixed-Strain Mycobacterium tuberculosis Infections and the Implications for Tuberculosis Treatment and Control
Cohen T, van Helden PD, Wilson D, Colijn C, McLaughlin MM, Abubakar I, Warren RM. Mixed-Strain Mycobacterium tuberculosis Infections and the Implications for Tuberculosis Treatment and Control. Clinical Microbiology Reviews 2012, 25: 708-719. PMID: 23034327, PMCID: PMC3485752, DOI: 10.1128/cmr.00021-12.Peer-Reviewed Original ResearchConceptsMixed infectionsTuberculosis infectionM. tuberculosis infectionTuberculosis control strategiesMycobacterium tuberculosis infectionTreatment of patientsMultiple distinct strainsTuberculosis treatmentInfectionMycobacterium tuberculosisEpidemiological importanceDistinct strainsTreatmentNumerous studiesPatientsTuberculosisDiagnosisHighlight challengesIndividualsModeling the Dynamic Relationship Between HIV and the Risk of Drug-Resistant Tuberculosis
Sergeev R, Colijn C, Murray M, Cohen T. Modeling the Dynamic Relationship Between HIV and the Risk of Drug-Resistant Tuberculosis. Science Translational Medicine 2012, 4: 135ra67. PMID: 22623743, PMCID: PMC3387814, DOI: 10.1126/scitranslmed.3003815.Peer-Reviewed Original ResearchConceptsMultidrug-resistant TBDrug-resistant tuberculosisDrug-resistant TBHIV-seropositive individualsHIV statusTB patientsLatent Mycobacterium tuberculosis infectionIndividual HIV statusIncident HIV infectionMultidrug-resistant tuberculosisMycobacterium tuberculosis infectionEffects of HIVCross-sectional studyDrug-resistant formsRise of HIVIndividual-level associationsAcquisition of resistanceAverage CD4HIV infectionResistance-conferring mutationsTB controlTuberculosis infectionResistant tuberculosisTB drugsHIV epidemic
2011
Modelling the performance of isoniazid preventive therapy for reducing tuberculosis in HIV endemic settings: the effects of network structure
Mills HL, Cohen T, Colijn C. Modelling the performance of isoniazid preventive therapy for reducing tuberculosis in HIV endemic settings: the effects of network structure. Journal Of The Royal Society Interface 2011, 8: 1510-1520. PMID: 21508012, PMCID: PMC3163428, DOI: 10.1098/rsif.2011.0160.Peer-Reviewed Original ResearchConceptsTB diseaseLatent M. tuberculosis infectionEffects of IptHIV-endemic settingsActive tuberculosis diseaseIsoniazid preventive therapyIntact immune systemM. tuberculosis infectionWorld Health OrganizationPreventive therapyTB casesTuberculosis infectionTuberculosis diseaseClinical trialsEndemic settingsIPT programHigh riskLatent infectionSingle drugCommunity-wide levelRespiratory contactHIVImmune systemPopulation-level impactUse of IPTModels to understand the population-level impact of mixed strain M. tuberculosis infections
Sergeev R, Colijn C, Cohen T. Models to understand the population-level impact of mixed strain M. tuberculosis infections. Journal Of Theoretical Biology 2011, 280: 88-100. PMID: 21514304, PMCID: PMC3111980, DOI: 10.1016/j.jtbi.2011.04.011.Peer-Reviewed Original ResearchConceptsDrug-resistant strainsMixed strain infectionsStrain infectionDrug-sensitive tuberculosisDrug-resistant tuberculosisM. tuberculosis infectionLower basic reproductive numberDrug-resistant infectionsTuberculosis patientsTuberculosis infectionTreatment successDrug-resistant bacteriaFuture burdenLong-term effectsStrain-specific differencesDrug resistanceInfectionPopulation-level impactTuberculosisM. tuberculosisMixed infectionsMycobacterium tuberculosisBasic reproductive numberCo-infected hostsSmall subpopulation
2010
Mixed-Strain Mycobacterium tuberculosis Infections among Patients Dying in a Hospital in KwaZulu-Natal, South Africa
Cohen T, Wilson D, Wallengren K, Samuel EY, Murray M. Mixed-Strain Mycobacterium tuberculosis Infections among Patients Dying in a Hospital in KwaZulu-Natal, South Africa. Journal Of Clinical Microbiology 2010, 49: 385-388. PMID: 20980576, PMCID: PMC3020455, DOI: 10.1128/jcm.01378-10.Peer-Reviewed Original Research
2008
Modeling the effects of strain diversity and mechanisms of strain competition on the potential performance of new tuberculosis vaccines
Cohen T, Colijn C, Murray M. Modeling the effects of strain diversity and mechanisms of strain competition on the potential performance of new tuberculosis vaccines. Proceedings Of The National Academy Of Sciences Of The United States Of America 2008, 105: 16302-16307. PMID: 18849476, PMCID: PMC2570977, DOI: 10.1073/pnas.0808746105.Peer-Reviewed Original ResearchConceptsNew tuberculosis vaccinesTuberculosis vaccineBacillus Calmette-Guérin (BCG) vaccinationCurrent vaccine candidatesM. tuberculosis strainsPerformance of vaccinesTuberculosis infectionTuberculosis controlStrain diversityMass vaccinationVaccine candidatesNew vaccinesTuberculosis strainsStrain replacementVaccineM. tuberculosisMycobacterium tuberculosisTransmission of diseaseVaccinationTuberculosisInfectionDiseaseStrain specificityPotential effectsMorbidity