2024
Cost-effectiveness and health impact of screening and treatment of Mycobacterium tuberculosis infection among formerly incarcerated individuals in Brazil: a Markov modelling study
van Lieshout Titan A, Klaassen F, Pelissari D, de Barros Silva J, Alves K, Alves L, Sanchez M, Bartholomay P, Johansen F, Croda J, Andrews J, Castro M, Cohen T, Vuik C, Menzies N. Cost-effectiveness and health impact of screening and treatment of Mycobacterium tuberculosis infection among formerly incarcerated individuals in Brazil: a Markov modelling study. The Lancet Global Health 2024, 12: e1446-e1455. PMID: 39151980, DOI: 10.1016/s2214-109x(24)00221-3.Peer-Reviewed Original ResearchConceptsDisability-adjusted life yearsTuberculosis preventive treatmentTuberculosis deathsHealth impactsImpact of screeningIntervention cost-effectivenessInfection screeningCost-effectiveNational Institutes of HealthHealth outcomesHealth gainsInstitutes of HealthQuantify health effectsTuberculosis casesCost-effectiveness ratioTreatment of Mycobacterium tuberculosis infectionPotential health impactsLife yearsGreater health benefitsTuberculosis preventionTarget populationMonths of isoniazidMarkov modelling studiesHealth statesHealthRisk factors underlying racial and ethnic disparities in tuberculosis diagnosis and treatment outcomes, 2011–19: a multiple mediation analysis of national surveillance data
Regan M, Barham T, Li Y, Swartwood N, Beeler Asay G, Cohen T, Horsburgh C, Khan A, Marks S, Myles R, Salomon J, Self J, Winston C, Menzies N. Risk factors underlying racial and ethnic disparities in tuberculosis diagnosis and treatment outcomes, 2011–19: a multiple mediation analysis of national surveillance data. The Lancet Public Health 2024, 9: e564-e572. PMID: 39095133, DOI: 10.1016/s2468-2667(24)00151-8.Peer-Reviewed Original ResearchConceptsUS-born individualsNon-US-born individualsHispanic individualsTract-level povertyTract-level measuresEthnic disparitiesCensus tract levelCensus tract-level povertyEconomic segregationEvidence of disparitiesAnalysis of national surveillance dataBlack individualsTuberculosis outcomesNeighborhood-level social vulnerabilityTract levelUS-bornSocial vulnerabilityUS National Tuberculosis Surveillance SystemNational Tuberculosis Surveillance SystemHigh riskCensusNational surveillance dataTuberculosis Surveillance SystemCase managementReduce disparitiesPhylogeographic Analysis of Mycobacterium kansasii Isolates from Patients with M. kansasii Lung Disease in Industrialized City, Taiwan - Volume 30, Number 8—August 2024 - Emerging Infectious Diseases journal - CDC
Cudahy P, Liu P, Warren J, Sobkowiak B, Yang C, Ioerger T, Wu C, Lu P, Wang J, Chang H, Huang H, Cohen T, Lin H. Phylogeographic Analysis of Mycobacterium kansasii Isolates from Patients with M. kansasii Lung Disease in Industrialized City, Taiwan - Volume 30, Number 8—August 2024 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2024, 30: 1562-1570. PMID: 39043390, PMCID: PMC11286038, DOI: 10.3201/eid3008.240021.Peer-Reviewed Original ResearchConceptsM. kansasii lung diseaseM. kansasii pulmonary diseasePulmonary diseaseM. kansasii isolatesSputum mycobacterial cultureWhole-genome sequencingEvaluate risk factorsPhylogeographic analysisAge of participantsGenetic relatednessEnvironmental acquisitionLung diseaseMycobacterial cultureOdds ratioRisk factorsM. kansasiiPatientsDiseasePlantsEnvironmental transmissionIsolatesPark plantingsCDCRiskPredictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records
Ryuk D, Pelissari D, Alves K, Oliveira P, Castro M, Cohen T, Sanchez M, Menzies N. Predictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records. BMC Infectious Diseases 2024, 24: 531. PMID: 38802744, PMCID: PMC11129366, DOI: 10.1186/s12879-024-09417-7.Peer-Reviewed Original ResearchConceptsTreatment outcomesFactors associated with unsuccessful treatment outcomesHigher risk of poor treatment outcomeTB treatmentRisk of poor treatment outcomesUnsuccessful treatmentEffectiveness of TB treatmentAssociated with unsuccessful treatmentUnsuccessful treatment outcomesTuberculosis treatment outcomesDrug-susceptible TBHealth system levelMultivariate logistic regression modelService-related factorsTB drug resistanceComorbid health conditionsHealth-related behaviorsCategorizing treatment outcomesPatient-level factorsClinical examination resultsNational Disease Notification SystemPoor treatment outcomesDisease notification systemHIV infectionLogistic regression modelsRacial and ethnic disparities in diagnosis and treatment outcomes among US-born people diagnosed with tuberculosis, 2003–19: an analysis of national surveillance data
Regan M, Li Y, Swartwood N, Barham T, Asay G, Cohen T, Hill A, Horsburgh C, Khan A, Marks S, Myles R, Salomon J, Self J, Menzies N. Racial and ethnic disparities in diagnosis and treatment outcomes among US-born people diagnosed with tuberculosis, 2003–19: an analysis of national surveillance data. The Lancet Public Health 2024, 9: e47-e56. PMID: 38176842, DOI: 10.1016/s2468-2667(23)00276-1.Peer-Reviewed Original ResearchConceptsNational surveillance dataNon-Hispanic White peopleTreatment outcomesEthnic disparitiesSurveillance dataTuberculosis diagnosisUS National Tuberculosis Surveillance SystemIndex of disparityLog-binomial regression modelsNational Tuberculosis Surveillance SystemNon-Hispanic black peopleOverall high riskTuberculosis Surveillance SystemAlaska Native peopleTuberculosis patientsDiagnostic delayAdverse outcomesTuberculosis diseaseTuberculosis incidence
2022
Excess 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 menEvaluating spatially adaptive guidelines for the treatment of gonorrhea to reduce the incidence of gonococcal infection and increase the effective lifespan of antibiotics
Yaesoubi R, Cohen T, Hsu K, Gift TL, St. Cyr SB, Salomon JA, Grad YH. Evaluating spatially adaptive guidelines for the treatment of gonorrhea to reduce the incidence of gonococcal infection and increase the effective lifespan of antibiotics. PLOS Computational Biology 2022, 18: e1009842. PMID: 35139073, PMCID: PMC8863219, DOI: 10.1371/journal.pcbi.1009842.Peer-Reviewed Original ResearchConceptsIncidence of gonorrhoeaTreatment guidelinesResistance prevalenceGonorrhea casesTreatment of gonorrheaNational surveillance systemPrevalence of resistanceTransmission dynamic modelGonococcal infectionGonorrhea treatmentMSM populationAntibiotic susceptibilityGonorrheaStandardized guidelinesSurveillance dataPrevalenceIncidenceAntibioticsPotential strategySurveillance systemAbsence of pointsGuidelinesCurrent strategiesEffective lifespanMen
2021
Global estimates of paediatric tuberculosis incidence in 2013–19: a mathematical modelling analysis
Yerramsetti S, Cohen T, Atun R, Menzies NA. Global estimates of paediatric tuberculosis incidence in 2013–19: a mathematical modelling analysis. The Lancet Global Health 2021, 10: e207-e215. PMID: 34895517, PMCID: PMC8800006, DOI: 10.1016/s2214-109x(21)00462-9.Peer-Reviewed Original ResearchConceptsPediatric tuberculosisTuberculosis incidenceStudy periodIncident tuberculosis casesTuberculosis incidence rateReporting systemHigh-burden settingsGlobal tuberculosis burdenTuberculosis natural historyPediatric incidenceInfectious exposurePrompt diagnosisSubstantial morbidityTuberculosis burdenTuberculosis casesIncidence rateRisk factorsCase detectionGlobal incidenceProbability of infectionInfected individualsAge groupsNatural historyTuberculosisIncidenceLifetime burden of disease due to incident tuberculosis: a global reappraisal including post-tuberculosis sequelae
Menzies NA, Quaife M, Allwood BW, Byrne AL, Coussens AK, Harries AD, Marx FM, Meghji J, Pedrazzoli D, Salomon JA, Sweeney S, van Kampen SC, Wallis RS, Houben RMGJ, Cohen T. Lifetime burden of disease due to incident tuberculosis: a global reappraisal including post-tuberculosis sequelae. The Lancet Global Health 2021, 9: e1679-e1687. PMID: 34798027, PMCID: PMC8609280, DOI: 10.1016/s2214-109x(21)00367-3.Peer-Reviewed Original ResearchConceptsPost-tuberculosis sequelaeBurden estimatesTuberculosis diseaseDisease episodesIncident tuberculosisIncident tuberculosis casesIncident tuberculosis diseaseNon-fatal health lossOverall disease burdenPulmonary tuberculosis diseaseLifetime health outcomesDisease burden estimatesElevated mortality riskHigh incidence rateExtrapulmonary diseaseLung functionCase fatalityHIV statusLifetime burdenTuberculosis casesTotal DALYsDisease burdenIncidence rateHypothetical cohortTuberculosis survivorsEvolution and emergence of multidrug-resistant Mycobacterium tuberculosis in Chisinau, Moldova
Brown TS, Eldholm V, Brynildsrud O, Osnes M, Levy N, Stimson J, Colijn C, Alexandru S, Noroc E, Ciobanu N, Crudu V, Cohen T, Mathema B. Evolution and emergence of multidrug-resistant Mycobacterium tuberculosis in Chisinau, Moldova. Microbial Genomics 2021, 7: 000620. PMID: 34431762, PMCID: PMC8549355, DOI: 10.1099/mgen.0.000620.Peer-Reviewed Original ResearchConceptsDrug-resistant TB casesMultidrug-resistant Mycobacterium tuberculosisDrug-resistant tuberculosisDrug resistance mutationsPopulation size expansionPublic health practiceSoviet UnionSocial turmoilTB patientsTB casesTB controlRepublic of MoldovaInpatient hospitalizationMigration historyInpatient treatmentEastern EuropeNational guidelinesEpidemiological historyResistance mutationsHealth practicesGenomic surveillance effortsCapital cityMycobacterium tuberculosisTuberculosisMoldovaComparison of Estimated Effectiveness of Case-Based and Population-Based Interventions on COVID-19 Containment in Taiwan
Ng TC, Cheng HY, Chang HH, Liu CC, Yang CC, Jian SW, Liu DP, Cohen T, Lin HH. Comparison of Estimated Effectiveness of Case-Based and Population-Based Interventions on COVID-19 Containment in Taiwan. JAMA Internal Medicine 2021, 181: 913-921. PMID: 33821922, PMCID: PMC8025126, DOI: 10.1001/jamainternmed.2021.1644.Peer-Reviewed Original ResearchConceptsPopulation-based interventionsCOVID-19 casesCOVID-19 controlComparative effectiveness research studyComparative effectiveness studiesEffective public health systemCOVID-19Reproduction numberPublic health professionalsPublic health systemCategories of interventionsStochastic branching process modelCase detectionMAIN OUTCOMESubsequent infectionPresymptomatic stagePrimary casesHealth professionalsEffective reproduction numberEstimated EffectivenessSerial intervalEffectiveness studiesHealth systemContact tracingCOVID-19 containment
2020
High-resolution estimates of tuberculosis incidence among non-U.S.-born persons residing in the United States, 2000–2016
Hill AN, Cohen T, Salomon JA, Menzies NA. High-resolution estimates of tuberculosis incidence among non-U.S.-born persons residing in the United States, 2000–2016. Epidemics 2020, 33: 100419. PMID: 33242759, PMCID: PMC7808561, DOI: 10.1016/j.epidem.2020.100419.Peer-Reviewed Original ResearchConceptsIncidence risk ratioTuberculosis incidence rateIncidence rateTuberculosis riskTuberculosis casesNational Tuberculosis Surveillance SystemTuberculosis prevention effortsNew tuberculosis casesLow incidence rateTuberculosis Surveillance SystemBirth countryTuberculosis incidenceRisk ratioTuberculosis trendsHigh-income countriesYounger agePrevention effortsEffective targetingCohortEntry yearCommunity surveySurveillance systemRegression modelsAgeUnited StatesRisk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort study
Cudahy PGT, Wilson D, Cohen T. Risk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort study. BMC Infectious Diseases 2020, 20: 789. PMID: 33097000, PMCID: PMC7585300, DOI: 10.1186/s12879-020-05515-4.Peer-Reviewed Original ResearchConceptsM. tuberculosis infectionRecurrent tuberculosisSuccessful treatmentTuberculosis recurrenceHazard ratioSmear gradeTuberculosis infectionRisk factorsSmear-positive pulmonary tuberculosisCox proportional hazards modelSputum smear gradeRepetitive unit-variable number tandem repeat (MIRU-VNTR) typingHigh-burden settingsRisk of recurrenceProportional hazards modelSuccessful treatment completionRecurrent diseaseCohort studyPulmonary tuberculosisBurden settingsClinical presentationRecurrent episodesInitial episodeNumber tandem repeat typingTreatment completionEstimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020
Weinberger DM, Chen J, Cohen T, Crawford FW, Mostashari F, Olson D, Pitzer VE, Reich NG, Russi M, Simonsen L, Watkins A, Viboud C. Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020. JAMA Internal Medicine 2020, 180: 1336-1344. PMID: 32609310, PMCID: PMC7330834, DOI: 10.1001/jamainternmed.2020.3391.Peer-Reviewed Original ResearchConceptsCOVID-19Excess deathsOfficial COVID-19 deathsCoronavirus disease 2019Entire US populationPublic health impactCOVID-19 diagnostic testsCOVID-19 burdenCOVID-19 deathsCause deathReported deathsMortality burdenObservational studyDisease 2019Influenza activityMAIN OUTCOMEDeath AssociatedWeekly deathsTotal deathsUS deathsMore deathsDeath recordsUS populationHealth StatisticsTest availabilityChildren as sentinels of tuberculosis transmission: disease mapping of programmatic data
Gunasekera KS, Zelner J, Becerra MC, Contreras C, Franke MF, Lecca L, Murray MB, Warren JL, Cohen T. Children as sentinels of tuberculosis transmission: disease mapping of programmatic data. BMC Medicine 2020, 18: 234. PMID: 32873309, PMCID: PMC7466499, DOI: 10.1186/s12916-020-01702-x.Peer-Reviewed Original ResearchConceptsNational Tuberculosis ProgrammeActive case-finding interventionsCase-finding interventionsTuberculosis transmissionNotification dataTuberculosis ProgrammeTuberculosis incidenceChild casesChildhood tuberculosis casesRecent transmission eventsProportion of casesCase notification dataMolecular epidemiological methodsMolecular epidemiologic methodsEndemic infectious diseasesTuberculosis casesProspective studyAdult casesDisease progressionNotification registerProgrammatic dataDistricts of LimaEpidemiological methodsInfectious diseasesTransmission hotspotsAdaptive guidelines for the treatment of gonorrhea to increase the effective life span of antibiotics among men who have sex with men in the United States: A mathematical modeling study
Yaesoubi R, Cohen T, Hsu K, Gift TL, Chesson H, Salomon JA, Grad YH. Adaptive guidelines for the treatment of gonorrhea to increase the effective life span of antibiotics among men who have sex with men in the United States: A mathematical modeling study. PLOS Medicine 2020, 17: e1003077. PMID: 32243443, PMCID: PMC7122693, DOI: 10.1371/journal.pmed.1003077.Peer-Reviewed Original ResearchConceptsFirst-line antibioticsPrevalence of resistanceMSM populationGonorrhea casesPrevalence of gonorrheaTreatment of gonorrheaTransmission of gonorrheaIncidence of gonorrhoeaGonococcal antimicrobial resistanceProportion of casesAlternative surveillance strategiesBurden of gonorrheaEffective surveillance systemTreatment guidelinesGonorrhea treatmentGonorrhoea transmissionClinical effectivenessOverall burdenSurveillance estimatesLife spanGonorrheaDrug susceptibilitySurveillance findingsSurveillance strategiesSurveillance programTransmission Modeling with Regression Adjustment for Analyzing Household-based Studies of Infectious Disease: Application to Tuberculosis.
Crawford FW, Marx FM, Zelner J, Cohen T. Transmission Modeling with Regression Adjustment for Analyzing Household-based Studies of Infectious Disease: Application to Tuberculosis. Epidemiology 2020, 31: 238-247. PMID: 31764276, PMCID: PMC7718772, DOI: 10.1097/ede.0000000000001143.Peer-Reviewed Original ResearchConceptsSusceptible household contactsHousehold contactsTB casesBacillus Calmette-Guérin (BCG) vaccinationInfected household contactsIsoniazid preventive therapyActive tuberculosis casesCulture-positive casesRisk of diseaseCohort studyMicrobiological confirmationPreventive therapyTuberculosis casesRisk factorsInfection resultsAdult contactsInfection riskInfectious diseasesLogistic regressionRate of transmissionTransmissible diseasesDiseaseIndividual-level characteristicsHigher hazardDisease susceptibilityThe risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis
Martinez L, Cords O, Horsburgh C, Andrews J, Consortium P, Acuna-Villaorduna C, Ahuja S, Altet N, Augusto O, Baliashvili D, Basu S, Becerra M, Bonnet M, Boom W, Borgdorff M, Boulahbal F, Carvalho A, Cayla J, Chakhaia T, Chan P, Cohen T, Croda J, Datta S, del Corral H, Denholm J, Dietze R, Dobler C, Donkor S, Egere U, Ellner J, Espinal M, Evans C, Fang C, Fielding K, Fox G, García L, García-Basteiro A, Geis S, Graham S, Grandjean L, Hannoun D, Hatherill M, Hauri A, Hesseling A, Hill P, Huang L, Huerga H, Hussain R, Jarlsberg L, Jones-López E, Kato S, Kato-Maeda M, Kampmann B, Kirchner H, Kritski A, Lange C, Lee C, Lee L, Lee M, Lemos A, Lienhardt C, Ling D, Liu Q, Lo N, Long R, Lopez-Varela E, Lu P, Magee M, Malone L, Mandalakas A, Martinson N, Mazahir R, Murray M, Netto E, Otero L, Parsonnet J, Reingold A, Schaaf H, Seddon J, Sharma S, Singh J, Singh S, Sloot R, Sotgiu G, Stein C, Iqbal N, Triasih R, Trieu L, van der Loeff M, Van der Stuyft P, van Schalkwyk C, Vashishtha R, Verhagen L, Villalba J, Wang J, Whalen C, Yoshiyama T, Zar H, Zellweger J, Zhu L. The risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis. The Lancet 2020, 395: 973-984. PMID: 32199484, PMCID: PMC7289654, DOI: 10.1016/s0140-6736(20)30166-5.Peer-Reviewed Original ResearchConceptsYears of agePreventive therapyIncident tuberculosisTuberculosis infectionHazard ratioTuberculosis casesMixed-effects Poisson regression modelsSystematic reviewFinal analysisClose exposureIncident tuberculosis casesRisk of tuberculosisDevelopment of tuberculosisEMBASE electronic databasesIndividual participant dataPositive resultsPoisson regression modelsWeb of ScienceMixed-effects logistic modelBCG vaccinationCohort studyBaseline visitPrevalent tuberculosisContact investigationProspective study
2019
Transmissibility and potential for disease progression of drug resistant Mycobacterium tuberculosis: prospective cohort study
Becerra MC, Huang CC, Lecca L, Bayona J, Contreras C, Calderon R, Yataco R, Galea J, Zhang Z, Atwood S, Cohen T, Mitnick CD, Farmer P, Murray M. Transmissibility and potential for disease progression of drug resistant Mycobacterium tuberculosis: prospective cohort study. The BMJ 2019, 367: l5894. PMID: 31649017, PMCID: PMC6812583, DOI: 10.1136/bmj.l5894.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAntitubercular AgentsChildChild, PreschoolContact TracingDisease ProgressionFemaleFollow-Up StudiesHumansIncidenceInfantInfant, NewbornIsoniazidKaplan-Meier EstimateMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisPeruProspective StudiesRifampinSputumTuberculin TestTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryYoung AdultConceptsDrug-sensitive tuberculosisMultidrug-resistant tuberculosisHousehold contactsProspective cohort studySensitive tuberculosisTuberculosis infectionResistant tuberculosisCohort studyTuberculosis diseaseHigh riskDrug-resistant Mycobacterium tuberculosisIncident tuberculosis diseasePhenotypic drug resistanceDistrict Health CenterResistant Mycobacterium tuberculosisDrug-susceptible strainsDrug resistance profilesActive diseasePulmonary tuberculosisDisease progressionGuideline producersHealth centersIndex patientsEffective treatmentPatientsNotification 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 prevalence