2021
Comparison 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
2017
Drivers of Tuberculosis Transmission
Mathema B, Andrews JR, Cohen T, Borgdorff MW, Behr M, Glynn JR, Rustomjee R, Silk BJ, Wood R. Drivers of Tuberculosis Transmission. The Journal Of Infectious Diseases 2017, 216: s644-s653. PMID: 29112745, PMCID: PMC5853844, DOI: 10.1093/infdis/jix354.Peer-Reviewed Original ResearchConceptsRecent transmissionTuberculosis transmissionTuberculosis casesCulture-positive tuberculosis casesInterferon-γ release assaysΓ release assaysTuberculin skin testMycobacterium tuberculosis infectionTuberculosis case notificationTransmission of tuberculosisPublic health systemPrevalent tuberculosisTuberculosis infectionSkin testIncident diseaseCase notificationClinical diseaseHealth systemCapacity of healthcareOngoing transmissionTuberculosisYoung childrenHighlight knowledge gapsInfection eventsWhole-genome sequencing
2014
Assessment of the patient, health system, and population effects of Xpert MTB/RIF and alternative diagnostics for tuberculosis in Tanzania: an integrated modelling approach
Langley I, Lin HH, Egwaga S, Doulla B, Ku CC, Murray M, Cohen T, Squire SB. Assessment of the patient, health system, and population effects of Xpert MTB/RIF and alternative diagnostics for tuberculosis in Tanzania: an integrated modelling approach. The Lancet Global Health 2014, 2: e581-e591. PMID: 25304634, DOI: 10.1016/s2214-109x(14)70291-8.Peer-Reviewed Original ResearchConceptsIncremental cost-effectiveness ratioHigh incremental costIncremental costLED fluorescence microscopyCost-effectiveness ratioPay thresholdsFull rolloutContext of TanzaniaCost-effective optionHealth policy formulationPolicy formulationDifferent diagnostic optionsIntegrated modelling approachModelling approachAdditional costHealth systemCostAlternative diagnosticsIntegrated modelXpert MTB/RIFPopulation effectsMTB/RIFPresumptive tuberculosis casesWillingnessUse of XpertHow 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, . 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
2011
A modelling framework to support the selection and implementation of new tuberculosis diagnostic tools [State of the art series. Operational research. Number 8 in the series]
Lin HH, Langley I, Mwenda R, Doulla B, Egwaga S, Millington KA, Mann GH, Murray M, Squire SB, Cohen T. A modelling framework to support the selection and implementation of new tuberculosis diagnostic tools [State of the art series. Operational research. Number 8 in the series]. The International Journal Of Tuberculosis And Lung Disease 2011, 15: 996-1004. PMID: 21740663, DOI: 10.5588/ijtld.11.0062.Peer-Reviewed Original ResearchConceptsDiagnostic strategiesHealth systemTB transmission dynamicsDiagnosis of tuberculosisHealth system requirementsDiagnostic toolHealth system componentsPolicy makersNew diagnostic strategiesHealth care infrastructureNovel diagnostic toolPatient outcomesDifferent epidemiologyJoint modelling frameworkModelling frameworkTest characteristicsCare infrastructureTransmission dynamicsRational choiceTuberculosisTechnological innovationStrategy decisionsDifficult decisionsMakersRecent introduction