2017
Polyclonal 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
2015
The prospective evaluation of the TB strain typing service in England: a mixed methods study
Mears J, Vynnycky E, Lord J, Borgdorff MW, Cohen T, Crisp D, Innes JA, Lilley M, Maguire H, McHugh TD, Woltmann G, Abubakar I, Sonnenberg P. The prospective evaluation of the TB strain typing service in England: a mixed methods study. Thorax 2015, 71: thoraxjnl-2014-206480. PMID: 25882538, DOI: 10.1136/thoraxjnl-2014-206480.Peer-Reviewed Original ResearchConceptsDiagnostic delayTB incidenceTB notification ratesProportion of infectionsMycobacterium tuberculosis diagnosisFalse-positive diagnosesCost-effectiveness analysisMixed-methods evaluationStrain typingTB programsProspective evaluationNotification ratesInfection increasesTuberculosis diagnosisPositive diagnosisPublic health dataComplex interventionsIncidenceMixed-methods studyRoutine laboratoryDiagnosisHealth dataCluster investigationsTypingMethods study
2014
How can mathematical models advance tuberculosis control in high HIV prevalence settings?
Houben RM, Dowdy DW, Vassall A, Cohen T, Nicol MP, Granich RM, Shea JE, Eckhoff P, Dye C, Kimerling ME, White RG, . How can mathematical models advance tuberculosis control in high HIV prevalence settings? The International Journal Of Tuberculosis And Lung Disease 2014, 18: 509-514. PMID: 24903784, PMCID: PMC4436821, DOI: 10.5588/ijtld.13.0773.Peer-Reviewed Original ResearchConceptsHigh HIV prevalence settingsHIV prevalence settingsTB-HIVTuberculosis controlPrevalence settingsHigh human immunodeficiency virus (HIV) prevalenceHuman immunodeficiency virus (HIV) prevalenceTB ModellingHealth policy makersDifficult diagnosisDisease progressionHigh riskHigh mortalityHealth systemNatural progressionVirus prevalencePublic healthProgressionMortalityPrevalenceSettingAnalysis ConsortiumDiagnosisExpert discussionHigh risk and rapid appearance of multidrug resistance during tuberculosis treatment in Moldova.
Jenkins HE, Crudu V, Soltan V, Ciobanu A, Domente L, Cohen T. High risk and rapid appearance of multidrug resistance during tuberculosis treatment in Moldova. European Respiratory Journal 2014, 43: 1132-41. PMID: 24558181, PMCID: PMC4005038, DOI: 10.1183/09031936.00203613.Peer-Reviewed Original ResearchConceptsMultidrug-resistant tuberculosisMDR-TB diagnosisMDR-TB casesTB treatmentFirst-line TB drugsAmbulatory TB treatmentMDR-TB riskDrug susceptibility testingNosocomial transmissionInitial diagnosisPercentage of individualsTB drugsTuberculosis treatmentEarly treatmentHigh riskSputum specimensSurveillance databasePrevious incarcerationDrug resistanceMultidrug resistanceDiagnosisTreatmentBaseline resistanceRapid appearanceRisk
2013
Identifying dynamic tuberculosis case-finding policies for HIV/TB coepidemics
Yaesoubi R, Cohen T. Identifying dynamic tuberculosis case-finding policies for HIV/TB coepidemics. Proceedings Of The National Academy Of Sciences Of The United States Of America 2013, 110: 9457-9462. PMID: 23690585, PMCID: PMC3677479, DOI: 10.1073/pnas.1218770110.Peer-Reviewed Original ResearchConceptsUndiagnosed casesHigh-burden settingsSmear-negative casesTB control programsDuration of roundsBurden settingsTB suspectsTB transmissionAggressive approachOnward transmissionIncremental yieldPopulation healthIncremental benefitInfectious individualsDiagnostic toolControl programsICFPassive caseSymptomsCasesSettingDiagnosis
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 challengesIndividualsThe 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 rateUse of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru - Volume 18, Number 5—May 2012 - Emerging Infectious Diseases journal - CDC
Lin HH, Shin SS, Contreras C, Asencios L, Paciorek CJ, Cohen T. Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru - Volume 18, Number 5—May 2012 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2012, 18: 811-813. PMID: 22516236, PMCID: PMC3358052, DOI: 10.3201/eid1805.111467.Peer-Reviewed Original ResearchIdentifying 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
2009
Extensively Drug‐Resistant Tuberculosis and HIV/AIDS
Murray M, Cohen T. Extensively Drug‐Resistant Tuberculosis and HIV/AIDS. 2009, 253-275. DOI: 10.1002/9783527627905.ch10.Peer-Reviewed Original Research