2014
On the spread and control of MDR-TB epidemics: An examination of trends in anti-tuberculosis drug resistance surveillance data
Cohen T, Jenkins HE, Lu C, McLaughlin M, Floyd K, Zignol M. On the spread and control of MDR-TB epidemics: An examination of trends in anti-tuberculosis drug resistance surveillance data. Drug Resistance Updates 2014, 17: 105-123. PMID: 25458783, PMCID: PMC4358299, DOI: 10.1016/j.drup.2014.10.001.Peer-Reviewed Original ResearchConceptsMDR-TBTB casesResistant tuberculosisAbsolute burdenSurveillance dataMDR-TB epidemicDrug-resistant TBMultidrug-resistant tuberculosisDrug-resistant tuberculosisNotified TB casesResistance surveillance dataSufficient surveillance dataWorld Health OrganizationBurden settingsTuberculosis controlUnadjusted analysesSignificant linear trendSurveillance indicatorsRobust surveillance systemHealth OrganizationTuberculosisBurdenSurveillance systemSettingLinear trend
2013
Community-Wide Isoniazid Preventive Therapy Drives Drug-Resistant Tuberculosis: A Model-Based Analysis
Mills HL, Cohen T, Colijn C. Community-Wide Isoniazid Preventive Therapy Drives Drug-Resistant Tuberculosis: A Model-Based Analysis. Science Translational Medicine 2013, 5: 180ra49. PMID: 23576815, PMCID: PMC3714172, DOI: 10.1126/scitranslmed.3005260.Peer-Reviewed Original ResearchConceptsDrug-resistant TBIPT interventionDrug-sensitive infectionsIsoniazid-resistant TBHIV/TBRisk of progressionHigh HIV prevalenceDrug-resistant diseaseIsoniazid-resistant Mycobacterium tuberculosisSymptom-free individualsSignificant elevated riskDrug-resistant strainsWorld Health OrganizationActive TBTB controlResistant tuberculosisHIV prevalenceTuberculosis controlIPT programElevated riskHost immunityMycobacterium tuberculosisHealth OrganizationSelective suppressionInterventionBayesian Estimation of Mixture Models with Prespecified Elements to Compare Drug Resistance in Treatment-Naïve and Experienced Tuberculosis Cases
Izu A, Cohen T, DeGruttola V. Bayesian Estimation of Mixture Models with Prespecified Elements to Compare Drug Resistance in Treatment-Naïve and Experienced Tuberculosis Cases. PLOS Computational Biology 2013, 9: e1002973. PMID: 23555210, PMCID: PMC3605089, DOI: 10.1371/journal.pcbi.1002973.Peer-Reviewed Original ResearchConceptsTreatment-experienced patientsDrug-resistant strainsMultiple drug-resistant strainsTreatment-naïve patientsDrug-resistant tuberculosisMycobacterium tuberculosis isolatesWorld Health OrganizationDrug resistance pathwaysTreatment-naïveTuberculosis casesTuberculosis isolatesWorldwide surveillanceDrug resistancePatientsHealth OrganizationResistant strainsResistant pathogensResistance pathwaysLow transmissibilityPathwayTuberculosis
2011
Quantifying the Burden and Trends of Isoniazid Resistant Tuberculosis, 1994–2009
Jenkins HE, Zignol M, Cohen T. Quantifying the Burden and Trends of Isoniazid Resistant Tuberculosis, 1994–2009. PLOS ONE 2011, 6: e22927. PMID: 21829557, PMCID: PMC3146514, DOI: 10.1371/journal.pone.0022927.Peer-Reviewed Original ResearchConceptsIsoniazid preventive therapyIncident TB casesTB casesHIV prevalence countriesHigh HIV prevalence countriesPrevalence countriesHigh HIV prevalence areasRetreatment TB casesHIV prevalence areasIsoniazid-resistant tuberculosisControl of tuberculosisEffect of INHObserved time trendsWorld Health OrganizationPreventive therapyResistant tuberculosisIncident casesTreatment successPrevalence areasIsoniazid resistanceMultidrug resistanceHealth OrganizationTuberculosisINHNational data