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 statesHealthPredictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records
Ryuk D, Pelissari D, Alves K, Oliveira P, Castro M, Cohen T, Sanchez M, Menzies N. Predictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records. BMC Infectious Diseases 2024, 24: 531. PMID: 38802744, PMCID: PMC11129366, DOI: 10.1186/s12879-024-09417-7.Peer-Reviewed Original ResearchConceptsTreatment outcomesFactors associated with unsuccessful treatment outcomesHigher risk of poor treatment outcomeTB treatmentRisk of poor treatment outcomesUnsuccessful treatmentEffectiveness of TB treatmentAssociated with unsuccessful treatmentUnsuccessful treatment outcomesTuberculosis treatment outcomesDrug-susceptible TBHealth system levelMultivariate logistic regression modelService-related factorsTB drug resistanceComorbid health conditionsHealth-related behaviorsCategorizing treatment outcomesPatient-level factorsClinical examination resultsNational Disease Notification SystemPoor treatment outcomesDisease notification systemHIV infectionLogistic regression models
2022
Excess tuberculosis cases and deaths following an economic recession in Brazil: an analysis of nationally representative disease registry data
Li Y, de Macedo Couto R, Pelissari DM, Costa Alves L, Bartholomay P, Maciel EL, Sanchez M, Castro MC, Cohen T, Menzies NA. Excess tuberculosis cases and deaths following an economic recession in Brazil: an analysis of nationally representative disease registry data. The Lancet Global Health 2022, 10: e1463-e1472. PMID: 36049488, PMCID: PMC9472578, DOI: 10.1016/s2214-109x(22)00320-5.Peer-Reviewed Original ResearchConceptsNational Notifiable Diseases Information SystemTuberculosis casesTuberculosis deathsExcess casesTuberculosis case ratesTuberculosis transmissionCase ratesNotifiable Diseases Information SystemTuberculosis case notificationDisease registry dataMortality Information SystemMixed effects regression modelsSupplementary Materials sectionFraction of casesTuberculosis controlUS National InstitutesTuberculosis incidenceCase notificationRegistry dataExcess deathsAge groupsDeathPossible explanatory factorsNational InstituteYoung men
2021
Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review
Khundi M, Carpenter JR, Nliwasa M, Cohen T, Corbett EL, MacPherson P. Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review. BMJ Open 2021, 11: e044715. PMID: 34257091, PMCID: PMC8278879, DOI: 10.1136/bmjopen-2020-044715.Peer-Reviewed Original ResearchConceptsSystematic reviewCommunity public health interventionsGlobal elimination targetsCommunity-based screeningControl of HIVMass drug administrationPublic health interventionsData extraction toolIndoor residual sprayingEvidence of effectWeb of ScienceCochrane DatabaseElimination targetsCommunity screeningInclusion criteriaDrug AdministrationHIVComplex interventionsHealth interventionsInfectious diseasesTuberculosisIntensive interventionIntervention impactMalaria studiesResidual sprayingTrends in Untreated Tuberculosis in Large Municipalities, Brazil, 2008–2017 - Volume 27, Number 3—March 2021 - Emerging Infectious Diseases journal - CDC
Chitwood MH, Pelissari DM, da Silva G, Bartholomay P, Rocha MS, Arakaki-Sanchez D, Sanchez M, Cohen T, Castro MC, Menzies NA. Trends in Untreated Tuberculosis in Large Municipalities, Brazil, 2008–2017 - Volume 27, Number 3—March 2021 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2021, 27: 957-960. PMID: 33622464, PMCID: PMC7920690, DOI: 10.3201/eid2703.204094.Peer-Reviewed Original ResearchBayesian evidence synthesis to estimate subnational TB incidence: An application in Brazil
Chitwood MH, Pelissari DM, da Silva G, Bartholomay P, Rocha MS, Sanchez M, Arakaki-Sanchez D, Glaziou P, Cohen T, Castro MC, Menzies NA. Bayesian evidence synthesis to estimate subnational TB incidence: An application in Brazil. Epidemics 2021, 35: 100443. PMID: 33676092, PMCID: PMC8252152, DOI: 10.1016/j.epidem.2021.100443.Peer-Reviewed Original ResearchConceptsTB incidenceFraction of casesUntreated active diseaseIncident TB casesTB control programsLocal disease burdenIncident TBActive diseaseTB burdenTB casesTB outcomesTB notificationsDisease burdenBayesian evidence synthesisCase detectionIncidenceEvidence synthesisAverage annual increaseControl programsBurdenAnnual rateAnnual increaseFraction of individualsAverage annual rateSources of bias
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
2019
Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from Brazil
Mabud TS, de Lourdes Delgado Alves M, Ko AI, Basu S, Walter KS, Cohen T, Mathema B, Colijn C, Lemos E, Croda J, Andrews JR. Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from Brazil. PLOS Medicine 2019, 16: e1002737. PMID: 30677013, PMCID: PMC6345418, DOI: 10.1371/journal.pmed.1002737.Peer-Reviewed Original ResearchConceptsIncidence of TBPrison-based interventionsTB incidenceGeneral populationTB casesCox proportional hazards modelNew TB casesControl of tuberculosisProportional hazards modelPaucity of dataTime of incarcerationTB burdenTB screeningTB riskTB transmissionTB ratesTB epidemicAdministrative databasesCommunity incidenceTuberculosis epidemicHazards modelTB databaseIncidenceEpidemiological contextIntervention