2024
Estimated Health and Economic Outcomes of Racial and Ethnic Tuberculosis Disparities in US-Born Persons
Swartwood N, Li Y, Regan M, Marks S, Barham T, Asay G, Cohen T, Hill A, Horsburgh C, Khan A, McCree D, Myles R, Salomon J, Self J, Menzies N. Estimated Health and Economic Outcomes of Racial and Ethnic Tuberculosis Disparities in US-Born Persons. JAMA Network Open 2024, 7: e2431988. PMID: 39254977, PMCID: PMC11388029, DOI: 10.1001/jamanetworkopen.2024.31988.Peer-Reviewed Original ResearchConceptsUS-born personsEthnic disparitiesCase-fatality rateTB deathsTB casesTB incidenceSex-adjusted incidenceNational TB surveillance dataTB surveillance dataQuality-adjusted life yearsDistrict of ColumbiaTB disparitiesHealth outcomesEconomic outcomesFuture healthOutcome of TBUS-bornTB outcomesEstimate healthLife yearsSocietal costsTB burdenSocietal perspectiveGeneralized additive regression modelsGoal attainment
2021
The impact of COVID-19 on TB: a review of the data
McQuaid C, Vassall A, Cohen T, Fiekert K, COVID/TB Modelling Working Group *, White R. The impact of COVID-19 on TB: a review of the data. The International Journal Of Tuberculosis And Lung Disease 2021, 25: 436-446. PMID: 34049605, PMCID: PMC8171247, DOI: 10.5588/ijtld.21.0148.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
2019
Notification of relapse and other previously treated tuberculosis in the 52 health districts of South Africa
Marx F, Cohen T, Lombard C, Hesseling A, Dlamini S, Beyers N, Naidoo P. Notification of relapse and other previously treated tuberculosis in the 52 health districts of South Africa. The International Journal Of Tuberculosis And Lung Disease 2019, 23: 891-899. PMID: 31533878, DOI: 10.5588/ijtld.18.0609.Peer-Reviewed Original ResearchConceptsSouth African health districtTB casesCase notification ratesHealth districtTB burdenNotification ratesHigh case notification ratesHIV co-infection rateHuman immunodeficiency virus (HIV) prevalenceTB case notification ratesAntenatal HIV prevalenceSecondary preventive therapyDrug-susceptible tuberculosisNew TB casesCo-infection rateTreatment history informationPreventive therapyMultivariable analysisHIV prevalenceSouth African districtPatient categoriesRelapseTuberculosisTreatment monitoringVirus prevalenceEvaluating 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
2018
The 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
2015
Counting children with tuberculosis: why numbers matter
Seddon JA, Jenkins HE, Liu L, Cohen T, Black RE, Vos T, Becerra MC, Graham SM, Sismanidis C, Dodd PJ. Counting children with tuberculosis: why numbers matter. The International Journal Of Tuberculosis And Lung Disease 2015, 19: 9-16. PMID: 26564535, PMCID: PMC4708268, DOI: 10.5588/ijtld.15.0471.Peer-Reviewed Original ResearchEvaluating the potential impact of enhancing HIV treatment and tuberculosis control programmes on the burden of tuberculosis
Chindelevitch L, Menzies NA, Pretorius C, Stover J, Salomon JA, Cohen T. Evaluating the potential impact of enhancing HIV treatment and tuberculosis control programmes on the burden of tuberculosis. Journal Of The Royal Society Interface 2015, 12: 20150146. PMID: 25878131, PMCID: PMC4424692, DOI: 10.1098/rsif.2015.0146.Peer-Reviewed Original ResearchConceptsAntiretroviral therapyTB incidenceTB burdenBurden of tuberculosisTuberculosis Control ProgrammePotential epidemiological impactART eligibilityMortality benefitTB programsHIV treatmentTB prevalenceTuberculosis incidenceEpidemiological impactART useProgram improvementHIVTreatment effectivenessIncidenceMortalityGreater reductionBurdenTBSaharan AfricaControl programsEligibility
2014
The potential effects of changing HIV treatment policy on tuberculosis outcomes in South Africa
Pretorius C, Menzies NA, Chindelevitch L, Cohen T, Cori A, Eaton JW, Fraser C, Gopalappa C, Hallett TB, Salomon JA, Stover J, White RG, Dodd PJ. The potential effects of changing HIV treatment policy on tuberculosis outcomes in South Africa. AIDS 2014, 28: s25-s34. PMID: 24468944, DOI: 10.1097/qad.0000000000000085.Peer-Reviewed Original ResearchConceptsAntiretroviral therapyTB incidenceART expansionHIV treatment policyHIV-positive individualsART eligibility criteriaTuberculosis outcomesART eligibilitySurvival benefitTB burdenTB casesHIV transmissionART coverageHIV treatmentHIV epidemicMortality reductionPositive individualsEligibility criteriaTreatment policyART servicesTuberculosisIncidenceCurrent eligibilityIndependent mathematical modelsRecent findings
2013
Disease Mapping with Spatially Uncertain Data
Manjourides J, Cohen T, Jeffery C, Pagano M. Disease Mapping with Spatially Uncertain Data. Online Journal Of Public Health Informatics 2013, 5 PMCID: PMC3692831, DOI: 10.5210/ojphi.v5i1.4380.Peer-Reviewed Original ResearchNew TB casesDrug sensitivity testingTB casesProgrammatic dataHigh TB burdenDrug-resistant casesTB burdenIncident casesResistant casesUnderlying burdenHigh riskRoutine dataDisease acquisitionInverse probabilityTransmission hotspotsSensitivity testingNon-random sampleRiskLocation of casesReduced testingDiseaseRepresentative sampleUnadjusted dataDRTBUntested cases
2011
Diabetes mellitus and tuberculosis in countries with high tuberculosis burdens: individual risks and social determinants
Goldhaber-Fiebert JD, Jeon CY, Cohen T, Murray MB. Diabetes mellitus and tuberculosis in countries with high tuberculosis burdens: individual risks and social determinants. International Journal Of Epidemiology 2011, 40: 417-428. PMID: 21252210, PMCID: PMC3621385, DOI: 10.1093/ije/dyq238.Peer-Reviewed Original ResearchConceptsDiabetes prevalenceTB prevalenceSocial determinantsHigh TB burdenBody mass indexHigh tuberculosis burdenType 2 diabetesIndividual-level risk factorsWorld Health SurveyTB burdenDiabetes mellitusPrevalent tuberculosisTuberculosis burdenMass indexIndividual-level riskBody of evidenceRisk factorsHealth SurveyDiabetesTuberculosisPrevalenceLow-income countriesHealth policyIndividual riskPopulation health