2022
Is aggregated surveillance data a reliable method for constructing tuberculosis care cascades? A secondary data analysis from Uganda
White E, Hernández-Ramírez R, Majwala R, Nalugwa T, Reza T, Cattamanchi A, Katamba A, Davis J. Is aggregated surveillance data a reliable method for constructing tuberculosis care cascades? A secondary data analysis from Uganda. PLOS Global Public Health 2022, 2: e0000716. PMID: 36962541, PMCID: PMC10045605, DOI: 10.1371/journal.pgph.0000716.Peer-Reviewed Original ResearchNational TB ProgrammeTreatment initiationAntiretroviral therapySurveillance dataLimits of agreementFacility characteristicsTB surveillance dataTuberculosis care cascadeNumber of peopleXpert-positivesCare cascadeTB careTB treatmentTB programsTuberculosis controlQuality improvement toolsSecondary data analysisHealth facilitiesPositive diagnosisAddress reasonsLinear mixed modelsConcordance correlation coefficientHIVTherapyDiagnosisExcess 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 menTuberculosis in prison inmates in Southern Brazil: investigating the epidemiological and operational indicators
Busatto C, Mespaque J, Schwarzbold P, de Souza C, Jarczewski C, Meucci R, Andrews J, Croda J, da Silva P, Ramis I, Possuelo L. Tuberculosis in prison inmates in Southern Brazil: investigating the epidemiological and operational indicators. Revista Da Sociedade Brasileira De Medicina Tropical 2022, 55: e0052-2022. PMID: 36287468, PMCID: PMC9592108, DOI: 10.1590/0037-8682-0052-2022.Peer-Reviewed Original ResearchConceptsPulmonary tuberculosis casesTuberculosis casesPulmonary tuberculosisLaboratory confirmationNew casesNew pulmonary tuberculosis casesRetreatment pulmonary tuberculosis casesWorldwide public health problemNotifiable Diseases Information SystemNew TB casesPublic health problemPublic health measuresTB casesHIV testingTuberculosis controlLaboratory criteriaTuberculosis incidenceIncidence rateObservational studyHealth problemsHealth measuresTuberculosisSpecific populationsHIVInvestigation rates
2021
The escalating tuberculosis crisis in central and South American prisons
Walter KS, Martinez L, Arakaki-Sanchez D, Sequera VG, Sanabria G, Cohen T, Ko AI, García-Basteiro AL, Rueda ZV, López-Olarte RA, Espinal MA, Croda J, Andrews JR. The escalating tuberculosis crisis in central and South American prisons. The Lancet 2021, 397: 1591-1596. PMID: 33838724, PMCID: PMC9393884, DOI: 10.1016/s0140-6736(20)32578-2.Peer-Reviewed Original Research
2020
Increased incarceration rates drive growing tuberculosis burden in prisons and jeopardize overall tuberculosis control in Paraguay
Sequera V, Aguirre S, Estigarribia G, Cellamare M, Croda J, Andrews J, Martinez L, García-Basteiro A. Increased incarceration rates drive growing tuberculosis burden in prisons and jeopardize overall tuberculosis control in Paraguay. Scientific Reports 2020, 10: 21247. PMID: 33277515, PMCID: PMC7718226, DOI: 10.1038/s41598-020-77504-1.Peer-Reviewed Original ResearchConceptsTB casesPopulation attributable fractionAttributable fractionAnnual TB notification ratesNational TB Control ProgrammeOverall population attributable riskIncarcerated populationsTB control programsCharacteristics of tuberculosisPopulation attributable riskTB notification ratesTB control measuresTrend of tuberculosisPercentage of casesSame age groupIncarcerated casesTB burdenTB controlTuberculosis burdenCase RegistryTuberculosis controlTB epidemicAttributable riskNotification ratesRelative riskImpact of Effective Global Tuberculosis Control on Health and Economic Outcomes in the United States
Menzies NA, Bellerose M, Testa C, Swartwood N, Malyuta Y, Cohen T, Marks SM, Hill AN, Date AA, Maloney SA, Bowden SE, Grills AW, Salomon JA. Impact of Effective Global Tuberculosis Control on Health and Economic Outcomes in the United States. American Journal Of Respiratory And Critical Care Medicine 2020, 202: 1567-1575. PMID: 32645277, PMCID: PMC7706168, DOI: 10.1164/rccm.202003-0526oc.Peer-Reviewed Original ResearchConceptsGlobal TB controlTB incidence trendsEnd TB StrategyTB controlTB casesIncidence trendsEconomic burdenWorld Health Organization's End TB StrategyTB incidence rateGlobal tuberculosis controlHigh-burden countriesTotal economic burdenMajor health benefitsBase case scenarioBirth countryTB incidenceTB epidemiologyTuberculosis controlTB StrategyIncidence rateHealthcare costsIncidence reductionInfection riskTuberculosisSubstantial healthCost-effectiveness of post-treatment follow-up examinations and secondary prevention of tuberculosis in a high-incidence setting: a model-based analysis
Marx FM, Cohen T, Menzies NA, Salomon JA, Theron G, Yaesoubi R. Cost-effectiveness of post-treatment follow-up examinations and secondary prevention of tuberculosis in a high-incidence setting: a model-based analysis. The Lancet Global Health 2020, 8: e1223-e1233. PMID: 32827484, PMCID: PMC7549318, DOI: 10.1016/s2214-109x(20)30227-8.Peer-Reviewed Original ResearchConceptsIsoniazid preventive therapySecondary preventive therapyHigh-incidence settingsPost-treatment followPreventive therapyTuberculosis controlTuberculosis incidenceTreatment completionTuberculosis case findingOverall disease burdenHigh tuberculosis incidenceTuberculosis-endemic settingHigh-incidence communityFirst yearHealth system costsRecurrent tuberculosisSecondary preventionAnnual followTuberculosis treatmentDisease burdenHigh riskCase findingSingle followSuburban Cape TownPreventive interventions
2018
Internal migration and transmission dynamics of tuberculosis in Shanghai, China: an epidemiological, spatial, genomic analysis
Yang C, Lu L, Warren JL, Wu J, Jiang Q, Zuo T, Gan M, Liu M, Liu Q, DeRiemer K, Hong J, Shen X, Colijn C, Guo X, Gao Q, Cohen T. Internal migration and transmission dynamics of tuberculosis in Shanghai, China: an epidemiological, spatial, genomic analysis. The Lancet Infectious Diseases 2018, 18: 788-795. PMID: 29681517, PMCID: PMC6035060, DOI: 10.1016/s1473-3099(18)30218-4.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overChinaDisease Transmission, InfectiousFemaleGenotypeHumansMaleMiddle AgedMinisatellite RepeatsMolecular EpidemiologyMycobacterium tuberculosisPolymorphism, Single NucleotideRural PopulationSpatial AnalysisTransients and MigrantsTuberculosisUrban PopulationWhole Genome SequencingConceptsM tuberculosisEpidemiological dataSingle nucleotide polymorphismsCulture-positive Mycobacterium tuberculosis isolatesCulture-positive tuberculosisPopulation-based studyMycobacterium tuberculosis isolatesTransmission dynamicsTime of infectionDynamics of tuberculosisTuberculosis controlUS National InstitutesTuberculosis isolatesMore effective interventionsProximity of residenceRecent transmissionPatient's homeTuberculosisLocal transmission dynamicsEffective interventionsLocal transmissionLocal incidenceNational InstituteVNTR patternsWhole-genome sequencingTuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study
Marx FM, Yaesoubi R, Menzies NA, Salomon JA, Bilinski A, Beyers N, Cohen T. Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study. The Lancet Global Health 2018, 6: e426-e435. PMID: 29472018, PMCID: PMC5849574, DOI: 10.1016/s2214-109x(18)30022-6.Peer-Reviewed Original ResearchConceptsHigh-incidence settingsIsoniazid preventive therapyPreventive therapyTuberculosis treatmentActive casesHIV prevalenceTuberculosis controlControl interventionsIncident tuberculosis casesPrevious tuberculosis treatmentTuberculosis control interventionsTB case notificationHigh-risk groupTransmission dynamic modelTuberculosis deathsHigh tuberculosisRecurrent diseasePrevalent tuberculosisTuberculosis casesTuberculosis incidenceCase notificationTreatment outcomesTuberculosis morbidityTuberculosis epidemicAdditional interventions
2017
Catastrophic costs potentially averted by tuberculosis control in India and South Africa: a modelling study
Verguet S, Riumallo-Herl C, Gomez GB, Menzies NA, Houben RMGJ, Sumner T, Lalli M, White RG, Salomon JA, Cohen T, Foster N, Chatterjee S, Sweeney S, Baena IG, Lönnroth K, Weil DE, Vassall A. Catastrophic costs potentially averted by tuberculosis control in India and South Africa: a modelling study. The Lancet Global Health 2017, 5: e1123-e1132. PMID: 29025634, PMCID: PMC5640802, DOI: 10.1016/s2214-109x(17)30341-8.Peer-Reviewed Original ResearchConceptsMultidrug-resistant tuberculosisEnd TB StrategyTuberculosis servicesCatastrophic costsTB StrategyDrug-sensitive tuberculosisCatastrophic financial burdenAnnual household incomeTuberculosis careTuberculosis controlEconomic burdenTuberculosisIntervention effectsMelinda Gates FoundationHousehold incomeIndirect costsFinancial burdenExpansion of accessPatientsTotal annual household incomeTreatmentCareGates FoundationBurdenIntervention scenarios
2014
On the spread and control of MDR-TB epidemics: An examination of trends in anti-tuberculosis drug resistance surveillance data
Cohen T, Jenkins HE, Lu C, McLaughlin M, Floyd K, Zignol M. On the spread and control of MDR-TB epidemics: An examination of trends in anti-tuberculosis drug resistance surveillance data. Drug Resistance Updates 2014, 17: 105-123. PMID: 25458783, PMCID: PMC4358299, DOI: 10.1016/j.drup.2014.10.001.Peer-Reviewed Original ResearchConceptsMDR-TBTB casesResistant tuberculosisAbsolute burdenSurveillance dataMDR-TB epidemicDrug-resistant TBMultidrug-resistant tuberculosisDrug-resistant tuberculosisNotified TB casesResistance surveillance dataSufficient surveillance dataWorld Health OrganizationBurden settingsTuberculosis controlUnadjusted analysesSignificant linear trendSurveillance indicatorsRobust surveillance systemHealth OrganizationTuberculosisBurdenSurveillance systemSettingLinear trendHealth-service performance of TB treatment for indigenous and non-indigenous populations in Brazil: a cross-sectional study
Lemos E, Alves A, Oliveira G, Rodrigues M, Martins N, Croda J. Health-service performance of TB treatment for indigenous and non-indigenous populations in Brazil: a cross-sectional study. BMC Health Services Research 2014, 14: 237. PMID: 24885134, PMCID: PMC4049501, DOI: 10.1186/1472-6963-14-237.Peer-Reviewed Original ResearchConceptsNon-Indigenous populationsTB diagnosisPrimary Care Assessment ToolNon-Indigenous patientsCare Assessment ToolCross-sectional studyHealth service performanceTB patientsMost patientsSymptom onsetTB careTB treatmentTuberculosis controlTreatment strategiesMedical appointmentsHome visitsFirst treatmentHealth professionalsHealth servicesPatientsDiagnosisHealthcare qualityTreatmentSocial supportAssessment toolHow can mathematical models advance tuberculosis control in high HIV prevalence settings?
Houben RM, Dowdy DW, Vassall A, Cohen T, Nicol MP, Granich RM, Shea JE, Eckhoff P, Dye C, Kimerling ME, White RG, MAC TB-HIV meeting participants F. How can mathematical models advance tuberculosis control in high HIV prevalence settings? The International Journal Of Tuberculosis And Lung Disease 2014, 18: 509-514. PMID: 24903784, PMCID: PMC4436821, DOI: 10.5588/ijtld.13.0773.Peer-Reviewed Original ResearchConceptsHigh HIV prevalence settingsHIV prevalence settingsTB-HIVTuberculosis controlPrevalence settingsHigh human immunodeficiency virus (HIV) prevalenceHuman immunodeficiency virus (HIV) prevalenceTB ModellingHealth policy makersDifficult diagnosisDisease progressionHigh riskHigh mortalityHealth systemNatural progressionVirus prevalencePublic healthProgressionMortalityPrevalenceSettingAnalysis ConsortiumDiagnosisExpert discussion
2013
Community-Wide Isoniazid Preventive Therapy Drives Drug-Resistant Tuberculosis: A Model-Based Analysis
Mills HL, Cohen T, Colijn C. Community-Wide Isoniazid Preventive Therapy Drives Drug-Resistant Tuberculosis: A Model-Based Analysis. Science Translational Medicine 2013, 5: 180ra49. PMID: 23576815, PMCID: PMC3714172, DOI: 10.1126/scitranslmed.3005260.Peer-Reviewed Original ResearchConceptsDrug-resistant TBIPT interventionDrug-sensitive infectionsIsoniazid-resistant TBHIV/TBRisk of progressionHigh HIV prevalenceDrug-resistant diseaseIsoniazid-resistant Mycobacterium tuberculosisSymptom-free individualsSignificant elevated riskDrug-resistant strainsWorld Health OrganizationActive TBTB controlResistant tuberculosisHIV prevalenceTuberculosis controlIPT programElevated riskHost immunityMycobacterium tuberculosisHealth OrganizationSelective suppressionIntervention
2012
Missed opportunity for tuberculosis case detection in household contacts in a high burden setting.
Sekandi J, Sempeera H, List J, Whalen C. Missed opportunity for tuberculosis case detection in household contacts in a high burden setting. Pan African Medical Journal 2012, 12: 8. PMID: 23077694, PMCID: PMC3396874.Peer-Reviewed Original ResearchConceptsHigh-burden settingsHousehold contactsTB casesBurden settingsContact investigationImportant public health issueIndex TB casesTB index casesNational TB ProgrammeYear old womanTuberculosis case detectionPublic health issueActive TBChronic coughPotential complementary roleTB controlTB programsTuberculosis controlCase detectionIndex caseNew casesTB detectionActive casesHealth issuesClose contactTuberculosis control in a highly endemic indigenous community in Brazil
Croda M, Trajber Z, da Costa Lima R, Croda J. Tuberculosis control in a highly endemic indigenous community in Brazil. Transactions Of The Royal Society Of Tropical Medicine And Hygiene 2012, 106: 223-229. PMID: 22365154, DOI: 10.1016/j.trstmh.2012.01.005.Peer-Reviewed Original ResearchConceptsTB treatmentNon-Indigenous populationsTB patientsTB case fatality rateImplementation of DOTSRetrospective cohort studyCase fatality rateNumber of patientsHIV-positive statusTimes higher mortalityHigh rateCohort studyTB controlCase fatalityDOTS implementationHIV prevalenceTuberculosis controlFatality rateHigh mortalityMultivariate analysisPatientsYoung adultsMortalityPriority groupsIndigenous populations
2009
A Role for Community Health Promoters in Tuberculosis Control in the State of Chiapas, Mexico
Herce ME, Chapman JA, Castro A, García-Salyano G, Khoshnood K. A Role for Community Health Promoters in Tuberculosis Control in the State of Chiapas, Mexico. Journal Of Community Health 2009, 35: 182-189. PMID: 20033836, DOI: 10.1007/s10900-009-9206-0.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultCommunity Health PlanningCommunity Health ServicesCommunity Health WorkersComplementary TherapiesFemaleHealth Knowledge, Attitudes, PracticeHealth PromotionHumansInterviews as TopicMaleMedicine, TraditionalMexicoMiddle AgedMultilingualismQualitative ResearchRural Health ServicesTuberculosisVolunteersWorkforceYoung AdultConceptsHealth promotersCommunity health promotersTuberculosis Control ProgrammeCommunity health workersHealth care infrastructureMedicinal plant therapyTB controlTuberculosis controlTB epidemicPublic health workHealth workersParasitic infectionsIndian ethnicityPatientsCare infrastructurePlant therapiesAllopathic medicineEssential medicinesHealth workMedicine cabinetOne-thirdStructured interviewsControl programsOne-fifthBiomedical treatmentRisk factors for failure to complete a course of latent tuberculosis infection treatment in Salvador, Brazil.
Machado A, Finkmoore B, Emodi K, Takenami I, Barbosa T, Tavares M, Reis M, Arruda S, Riley L. Risk factors for failure to complete a course of latent tuberculosis infection treatment in Salvador, Brazil. The International Journal Of Tuberculosis And Lung Disease 2009, 13: 719-25. PMID: 19460247.Peer-Reviewed Original ResearchConceptsHousehold contactsLatent tuberculosis infectionLTBI treatmentLatent tuberculosis infection treatmentTB-endemic countriesRisks of treatmentHigh-risk populationPulmonary TBMedication intoleranceTuberculosis infectionTuberculosis controlRisk factorsHigh riskSide effectsInfection treatmentHospitalVisitsMonthsTreatmentFollowINHRiskTBRegimenPatients
2008
Modeling the effects of strain diversity and mechanisms of strain competition on the potential performance of new tuberculosis vaccines
Cohen T, Colijn C, Murray M. Modeling the effects of strain diversity and mechanisms of strain competition on the potential performance of new tuberculosis vaccines. Proceedings Of The National Academy Of Sciences Of The United States Of America 2008, 105: 16302-16307. PMID: 18849476, PMCID: PMC2570977, DOI: 10.1073/pnas.0808746105.Peer-Reviewed Original ResearchConceptsNew tuberculosis vaccinesTuberculosis vaccineBacillus Calmette-Guérin (BCG) vaccinationCurrent vaccine candidatesM. tuberculosis strainsPerformance of vaccinesTuberculosis infectionTuberculosis controlStrain diversityMass vaccinationVaccine candidatesNew vaccinesTuberculosis strainsStrain replacementVaccineM. tuberculosisMycobacterium tuberculosisTransmission of diseaseVaccinationTuberculosisInfectionDiseaseStrain specificityPotential effectsMorbidity
2007
Emergent heterogeneity in declining tuberculosis epidemics
Colijn C, Cohen T, Murray M. Emergent heterogeneity in declining tuberculosis epidemics. Journal Of Theoretical Biology 2007, 247: 765-774. PMID: 17540410, PMCID: PMC2652758, DOI: 10.1016/j.jtbi.2007.04.015.Peer-Reviewed Original Research
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply