2022
Spatially targeted digital chest radiography to reduce tuberculosis in high-burden settings: A study of adaptive decision making
de Villiers AK, Dye C, Yaesoubi R, Cohen T, Marx FM. Spatially targeted digital chest radiography to reduce tuberculosis in high-burden settings: A study of adaptive decision making. Epidemics 2022, 38: 100540. PMID: 35093849, PMCID: PMC8983993, DOI: 10.1016/j.epidem.2022.100540.Peer-Reviewed Original ResearchConceptsHigh-burden settingsTB casesTB prevalenceChest radiographyAdditional TB casesCase-finding yieldTB prevalence estimatesHigh-burden populationsCommunity-randomized trialNumber of screeningsTB controlXpert UltraScreening roundNotification ratesPrevalence estimatesTuberculosisPrevalenceDigital chest radiographyScreeningTrialsInterventionRadiography
2020
Cost-effectiveness of post-treatment follow-up examinations and secondary prevention of tuberculosis in a high-incidence setting: a model-based analysis
Marx FM, Cohen T, Menzies NA, Salomon JA, Theron G, Yaesoubi R. Cost-effectiveness of post-treatment follow-up examinations and secondary prevention of tuberculosis in a high-incidence setting: a model-based analysis. The Lancet Global Health 2020, 8: e1223-e1233. PMID: 32827484, PMCID: PMC7549318, DOI: 10.1016/s2214-109x(20)30227-8.Peer-Reviewed Original ResearchMeSH KeywordsAftercareCost-Benefit AnalysisHumansIncidenceModels, TheoreticalSecondary PreventionSouth AfricaTuberculosisConceptsIsoniazid preventive therapySecondary preventive therapyHigh-incidence settingsPost-treatment followPreventive therapyTuberculosis controlTuberculosis incidenceTreatment completionTuberculosis case findingOverall disease burdenHigh tuberculosis incidenceTuberculosis-endemic settingHigh-incidence communityFirst yearHealth system costsRecurrent tuberculosisSecondary preventionAnnual followTuberculosis treatmentDisease burdenHigh riskCase findingSingle followSuburban Cape TownPreventive interventions
2018
Prospects for Tuberculosis Elimination in the United States: Results of a Transmission Dynamic Model
Menzies NA, Cohen T, Hill AN, Yaesoubi R, Galer K, Wolf E, Marks SM, Salomon JA. Prospects for Tuberculosis Elimination in the United States: Results of a Transmission Dynamic Model. American Journal Of Epidemiology 2018, 187: 2011-2020. PMID: 29762657, PMCID: PMC6119121, DOI: 10.1093/aje/kwy094.Peer-Reviewed Original ResearchConceptsTB preventionTB eliminationLatent TB infection (LTBI) screeningTB case detectionHigh-risk populationImportant health benefitsTransmission dynamic modelIncident TBActive TBTuberculosis eliminationInfection testingTB controlTB incidenceEpidemiologic evidenceTB transmissionInfection screeningCase detectionTuberculosis trendsUS populationRisk determinantsHealth benefitsTreatment qualityUnited StatesTreatment activitiesTreatmentProgression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions
Menzies NA, Wolf E, Connors D, Bellerose M, Sbarra AN, Cohen T, Hill AN, Yaesoubi R, Galer K, White PJ, Abubakar I, Salomon JA. Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions. The Lancet Infectious Diseases 2018, 18: e228-e238. PMID: 29653698, PMCID: PMC6070419, DOI: 10.1016/s1473-3099(18)30134-8.Peer-Reviewed Original ResearchConceptsTuberculosis transmission modelActive diseaseCumulative incidenceRisk factorsSystematic reviewNatural historyFeatures of epidemiologyDisease natural historyIndividual risk factorsTuberculosis natural historyEarliest available dateWeb of ScienceAnnual incidenceCochrane LibraryTuberculosis incidenceInclusion criteriaFuture tuberculosisLatent infectionInitial infectionIncidenceSubstantial proportionPopulation groupsAvailable dateInfectionDiseaseTuberculosis 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
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