2024
Cost-effectiveness and health impact of screening and treatment of Mycobacterium tuberculosis infection among formerly incarcerated individuals in Brazil: a Markov modelling study
van Lieshout Titan A, Klaassen F, Pelissari D, de Barros Silva J, Alves K, Alves L, Sanchez M, Bartholomay P, Johansen F, Croda J, Andrews J, Castro M, Cohen T, Vuik C, Menzies N. Cost-effectiveness and health impact of screening and treatment of Mycobacterium tuberculosis infection among formerly incarcerated individuals in Brazil: a Markov modelling study. The Lancet Global Health 2024, 12: e1446-e1455. PMID: 39151980, PMCID: PMC11339731, DOI: 10.1016/s2214-109x(24)00221-3.Peer-Reviewed Original ResearchConceptsDisability-adjusted life yearsTuberculosis preventive treatmentTuberculosis deathsHealth impactsImpact of screeningIntervention cost-effectivenessInfection screeningCost-effectiveNational Institutes of HealthHealth outcomesHealth gainsInstitutes of HealthQuantify health effectsTuberculosis casesCost-effectiveness ratioTreatment of Mycobacterium tuberculosis infectionPotential health impactsLife yearsGreater health benefitsTuberculosis preventionTarget populationMonths of isoniazidMarkov modelling studiesHealth statesHealth
2022
Neighbourhood prevalence-to-notification ratios for adult bacteriologically-confirmed tuberculosis reveals hotspots of underdiagnosis in Blantyre, Malawi
Khundi M, Carpenter JR, Corbett EL, Feasey HRA, Soko RN, Nliwasa M, Twabi H, Chiume L, Burke RM, Horton KC, Dodd PJ, Cohen T, MacPherson P. Neighbourhood prevalence-to-notification ratios for adult bacteriologically-confirmed tuberculosis reveals hotspots of underdiagnosis in Blantyre, Malawi. PLOS ONE 2022, 17: e0268749. PMID: 35605004, PMCID: PMC9126376, DOI: 10.1371/journal.pone.0268749.Peer-Reviewed Original ResearchMeSH KeywordsAdultBayes TheoremHumansMalawiMass ScreeningMycobacterium tuberculosisPrevalenceSputumTuberculosisConceptsCase notification ratesPrevalence surveyNotification ratioNeighbourhood prevalenceTB case notification ratesXpert MTB/RIFCase-finding interventionsTrue disease burdenChest X-ray screeningTB prevalence surveyTB surveillance systemMTB/RIFDiagnosis of tuberculosisSputum smear microscopyTB clinicTB patientsRespiratory infectionsTB prevalenceDisease burdenNotification ratesSmear microscopyX-ray screeningTuberculosisPrevalenceUrban tuberculosisSpatially 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
Yield, Efficiency, and Costs of Mass Screening Algorithms for Tuberculosis in Brazilian Prisons
da Silva Santos A, de Oliveira R, Lemos EF, Lima F, Cohen T, Cords O, Martinez L, Gonçalves C, Ko A, Andrews JR, Croda J. Yield, Efficiency, and Costs of Mass Screening Algorithms for Tuberculosis in Brazilian Prisons. Clinical Infectious Diseases 2020, 72: 771-777. PMID: 32064514, PMCID: PMC7935388, DOI: 10.1093/cid/ciaa135.Peer-Reviewed Original ResearchConceptsXpert MTB/RIFMTB/RIFChest radiographySputum Xpert MTB/RIFHigh TB burden countriesFourth-generation assaysScreening algorithmTB burden countriesSputum testingTB casesTB screeningBurden countriesProspective studySputum testSymptom assessmentChest radiographsScreening testPositivity thresholdMass screeningTuberculosisMore casesDiagnostic algorithmDiagnostic testsMajor causeScreening strategy
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 resultsMortalityThe impact of migration on tuberculosis in the United States
Menzies NA, Hill AN, Cohen T, Salomon JA. The impact of migration on tuberculosis in the United States. The International Journal Of Tuberculosis And Lung Disease 2018, 22: 1392-1403. PMID: 30606311, PMCID: PMC6353558, DOI: 10.5588/ijtld.17.0185.Peer-Reviewed Original ResearchConceptsTB casesTB burdenHigher tuberculosis ratesNew TB casesLow-incidence settingsEntry yearActive TBTB epidemiologyTB riskIncidence estimatesTuberculosis ratesLifetime casesUnited StatesRiskPopulation residentGreater exposureBurdenNative-born populationPopulationCountry of originTBYearsTuberculosisCasesInfection
2017
Protective effects of household-based TB interventions are robust to neighbourhood-level variation in exposure risk in Lima, Peru: a model-based analysis
Zelner J, Murray M, Becerra M, Galea J, Lecca L, Calderon R, Yataco R, Zhang Z, Cohen T. Protective effects of household-based TB interventions are robust to neighbourhood-level variation in exposure risk in Lima, Peru: a model-based analysis. International Journal Of Epidemiology 2017, 47: 185-192. PMID: 29025111, DOI: 10.1093/ije/dyx171.Peer-Reviewed Original ResearchConceptsIsoniazid preventive therapyLatent TB infectionTB casesHousehold contactsHousehold exposureTB diseaseHealth centersPopulation-based prospective cohort studyHigh-risk household contactsMore casesBlanket screeningIncident pulmonary tuberculosisIncident TB diseasePositive household contactsProspective cohort studyTB screening programPublic Health CenterIncident tuberculosisTB infectionCohort studyPreventive therapyPulmonary tuberculosisTB incidenceSkin testTB risk
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 impactAssessing the utility of Xpert® MTB/RIF as a screening tool for patients admitted to medical wards in South Africa
Heidebrecht CL, Podewils LJ, Pym AS, Cohen T, Mthiyane T, Wilson D. Assessing the utility of Xpert® MTB/RIF as a screening tool for patients admitted to medical wards in South Africa. Scientific Reports 2016, 6: 19391. PMID: 26786396, PMCID: PMC4726405, DOI: 10.1038/srep19391.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCoinfectionDrug Resistance, BacterialFemaleHIV InfectionsHumansMaleMass ScreeningMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisNucleic Acid Amplification TechniquesReproducibility of ResultsRifampinSouth AfricaTuberculosis, Multidrug-ResistantYoung AdultConceptsChest X-rayMTB/RIFMedical wardsScreening toolAdditional TB casesInfection control actionsUtility of GeneXpertTB/HIVConsecutive adult patientsProportion of patientsRifampicin-resistant tuberculosisDrug-resistant tuberculosisLarge public hospitalTB diseaseAdult patientsStandard careTB casesTB screeningMedical admissionsMedical chartsHospital inpatientsSputum specimensGeneXpertPatientsRifampicin resistance