2024
The impact of COVID-19 national lockdowns on drug-resistant tuberculosis in KwaZulu-Natal, South Africa: A spatial analysis
Harrington K, Gandhi N, Shah N, Naidoo K, Auld S, Andrews J, Brust J, Lutchminarain K, Coe M, Willis F, Campbell A, Cohen T, Jenness S, Waller L, Investigators O. The impact of COVID-19 national lockdowns on drug-resistant tuberculosis in KwaZulu-Natal, South Africa: A spatial analysis. Annals Of Epidemiology 2024, 97: 44-51. PMID: 39038747, PMCID: PMC11408097, DOI: 10.1016/j.annepidem.2024.07.044.Peer-Reviewed Original ResearchKwaZulu-Natal ProvinceTB diagnosisDrug resistanceBayesian conditional autoregressive modelProspective cohort studyKwaZulu-NatalCOVID-19 national lockdownDrug-resistant tuberculosisRate of diagnosisCOVID-19 mitigation strategiesStatistics South AfricaSpatial analysisSpatial distributionMunicipal characteristicsCohort studyDR-TBNotification ratesTB notificationsSouth AfricaSurface mappingRate of casesRelative-riskCOVID-19Conditional autoregressive modelSpatial correlation
2022
The effect of incarceration on TB treatment outcomes
O Marr J, Gonçalves C, Arakaki-Sanchez D, Pelissari D, Costa F, Croda J, Walter K, Andrews J. The effect of incarceration on TB treatment outcomes. The International Journal Of Tuberculosis And Lung Disease 2022, 26: 252-258. PMID: 35197165, DOI: 10.5588/ijtld.21.0449.Peer-Reviewed Original ResearchConceptsNon-incarcerated individualsTreatment successTreatment outcomesDrug-susceptible TB casesImproved treatment successTB treatment outcomesTB treatment successClinical risk factorsIncarcerated individualsMultivariate logistic regressionGreater treatment successTB casesClinical factorsObserved therapyPoor outcomeTB notificationsRisk factorsElevated riskGreater efficacyLogistic regressionNotifiable diseaseOutcomesIncarcerated populationsVulnerable individualsUse of DOT
2021
The positive externalities of migrant-based TB control strategy in a Chinese urban population with internal migration: a transmission-dynamic modeling study
Yang C, Kang J, Lu L, Guo X, Shen X, Cohen T, Menzies NA. The positive externalities of migrant-based TB control strategy in a Chinese urban population with internal migration: a transmission-dynamic modeling study. BMC Medicine 2021, 19: 95. PMID: 33874940, PMCID: PMC8055441, DOI: 10.1186/s12916-021-01968-9.Peer-Reviewed Original ResearchConceptsTB casesTB incidenceNew TB casesTB control strategiesEpidemiology of tuberculosisMeaningful health benefitsChinese urban populationMolecular epidemiologic studiesTransmission dynamic modelSongjiang DistrictRecent infectionTB interventionsTB transmissionTB notificationsEpidemiological featuresPreventive treatmentActive screeningEpidemiologic studiesLatent infectionTB policyDemographic dataIndirect protectionTuberculosisEpidemiological driversLocal transmissionBayesian 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
Impact of mass-screening on tuberculosis incidence in a prospective cohort of Brazilian prisoners
Paião DS, Lemos EF, Carbone AD, Sgarbi RV, Junior AL, da Silva FM, Brandão LM, dos Santos LS, Martins VS, Simionatto S, Motta-Castro AR, Pompílio MA, Urrego J, Ko AI, Andrews JR, Croda J. Impact of mass-screening on tuberculosis incidence in a prospective cohort of Brazilian prisoners. BMC Infectious Diseases 2016, 16: 533. PMID: 27716170, PMCID: PMC5048439, DOI: 10.1186/s12879-016-1868-5.Peer-Reviewed Original ResearchConceptsTuberculin skin testingActive tuberculosisRisk factorsSubsequent diseaseProspective cohort studyEarly case detectionHigh transmission settingsHigh-risk populationPotential risk factorsProportional hazards modelSubsequent disease riskMass screening interventionTST conversionCohort studyProspective cohortHIV testingTuberculosis infectionScreening interventionsSkin testingTB notificationsTuberculosis incidenceSubsequent riskCase detectionSputum samplesActive screening
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply