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