2024
Quantifying gaps in the tuberculosis care cascade in Brazil: A mathematical model study using national program data
Emani S, Alves K, Alves L, da Silva D, Oliveira P, Castro M, Cohen T, de Macedo Couto R, Sanchez M, Menzies N. Quantifying gaps in the tuberculosis care cascade in Brazil: A mathematical model study using national program data. PLOS Medicine 2024, 21: e1004361. PMID: 38512968, PMCID: PMC10994550, DOI: 10.1371/journal.pmed.1004361.Peer-Reviewed Original ResearchDisability-adjusted life yearsLoss to follow-upTreatment loss to follow-upCare cascadeHealth lossDelay to diagnosisTB diseaseTB diagnosisReduce delays to diagnosisHuman immunodeficiency virusContribution of social factorsTotal health system costsCare cascade outcomesTB care cascadeMortality Information SystemBurden of TB diseaseHealth system costsLifetime health outcomesNotifiable Diseases Information SystemBurden of diseaseIncident TB casesState of residenceNational program dataFollow-upHealth outcomes
2022
A spatial-mechanistic model to estimate subnational tuberculosis burden with routinely collected data: An application in Brazilian municipalities
Chitwood M, Alves L, Bartholomay P, Couto R, Sanchez M, Castro M, Cohen T, Menzies N. A spatial-mechanistic model to estimate subnational tuberculosis burden with routinely collected data: An application in Brazilian municipalities. PLOS Global Public Health 2022, 2: e0000725. PMID: 36962578, PMCID: PMC10021638, DOI: 10.1371/journal.pgph.0000725.Peer-Reviewed Original ResearchPerson/yearTB incidenceCase notificationBurden estimatesIncident TB casesTB case notificationTB control strategiesDisease burden estimatesIncident TBUntreated TBTB casesTuberculosis burdenDisease burdenIncidence rateCase detectionRoutine dataDeath recordsMortality dataIncidenceSubnational estimatesDisease control resourcesBurdenHigh needTBFraction of individuals
2021
Bayesian 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
2016
Assessing Local Risk of Rifampicin-Resistant Tuberculosis in KwaZulu-Natal, South Africa Using Lot Quality Assurance Sampling
Heidebrecht CL, Podewils LJ, Pym A, Mthiyane T, Cohen T. Assessing Local Risk of Rifampicin-Resistant Tuberculosis in KwaZulu-Natal, South Africa Using Lot Quality Assurance Sampling. PLOS ONE 2016, 11: e0153143. PMID: 27050561, PMCID: PMC4822784, DOI: 10.1371/journal.pone.0153143.Peer-Reviewed Original ResearchConceptsIncident TB casesTB casesResistant TBDrug-resistant TB casesRifampicin-resistant tuberculosisMultidrug-resistant tuberculosisDrug susceptibility testingRIF-resistant TBLot Quality Assurance SamplingQuality assurance samplingResistant diseaseHigh burdenRIF resistanceKwaZulu-NatalSusceptibility testingHigh-risk areasTuberculosisRiskGreater proportionBurdenTBDiseaseGeographic heterogeneityCasesRifampicin
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