2023
Tabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States
Swartwood N, Testa C, Cohen T, Marks S, Hill A, Beeler Asay G, Cochran J, Cranston K, Randall L, Tibbs A, Horsburgh C, Salomon J, Menzies N. Tabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States. BMC Medicine 2023, 21: 331. PMID: 37649031, PMCID: PMC10469407, DOI: 10.1186/s12916-023-02785-y.Peer-Reviewed Original ResearchConceptsLatent tuberculosis infectionTB outcomesDistrict of ColumbiaTreatment of LTBIIncremental cost-effectiveness ratioTB incidence rateTuberculosis disease burdenQuality-adjusted life yearsCost-effectiveness ratioPublic health agenciesTB casesTB preventionTB incidenceTuberculosis infectionTB epidemiologyDisease burdenIncidence rateService utilizationAdditional interventionsIncidence projectionsLife yearsDemographic dataSocietal perspectiveHealth agenciesPrevention approaches
2021
The Health and Economic Benefits of Tests That Predict Future Progression to Tuberculosis Disease
Menzies NA, Shrestha S, Parriott A, Marks SM, Hill AN, Dowdy DW, Shete PB, Cohen T, Salomon JA. The Health and Economic Benefits of Tests That Predict Future Progression to Tuberculosis Disease. Epidemiology 2021, 33: 75-83. PMID: 34669631, PMCID: PMC8633045, DOI: 10.1097/ede.0000000000001418.Peer-Reviewed Original ResearchConceptsPositive predictive valueHigh positive predictive valueFuture tuberculosisLatent tuberculosis infection treatmentIncremental costHigher treatment initiationCompletion of treatmentInterferon-gamma releaseQuality-adjusted life yearsTransmission dynamic modelLTBI testingTreatment initiationTreatment acceptanceTuberculosis diseasePrevention servicesPredictive valueTreatment servicesLife yearsTuberculosisInfection treatmentSocietal perspectiveIGRATreatment volumeHealth improvementFuture progression
2016
Cost-effectiveness and resource implications of aggressive action on tuberculosis in China, India, and South Africa: a combined analysis of nine models
Menzies NA, Gomez GB, Bozzani F, Chatterjee S, Foster N, Baena IG, Laurence YV, Qiang S, Siroka A, Sweeney S, Verguet S, Arinaminpathy N, Azman AS, Bendavid E, Chang ST, Cohen T, Denholm JT, Dowdy DW, Eckhoff PA, Goldhaber-Fiebert JD, Handel A, Huynh GH, Lalli M, Lin HH, Mandal S, McBryde ES, Pandey S, Salomon JA, Suen SC, Sumner T, Trauer JM, Wagner BG, Whalen CC, Wu CY, Boccia D, Chadha VK, Charalambous S, Chin DP, Churchyard G, Daniels C, Dewan P, Ditiu L, Eaton JW, Grant AD, Hippner P, Hosseini M, Mametja D, Pretorius C, Pillay Y, Rade K, Sahu S, Wang L, Houben RMGJ, Kimerling ME, White RG, Vassall A. Cost-effectiveness and resource implications of aggressive action on tuberculosis in China, India, and South Africa: a combined analysis of nine models. The Lancet Global Health 2016, 4: e816-e826. PMID: 27720689, PMCID: PMC5527122, DOI: 10.1016/s2214-109x(16)30265-0.Peer-Reviewed Original ResearchMeSH KeywordsChinaCost-Benefit AnalysisDelivery of Health CareForecastingGoalsHealth Care CostsHealth ExpendituresHealth PolicyHealth ResourcesHealth Services AccessibilityHealth Services Needs and DemandHumansIndiaModels, TheoreticalPatient Acceptance of Health CareQuality-Adjusted Life YearsSouth AfricaTuberculosisConceptsPatient-incurred costsTuberculosis servicesConventional cost-effectiveness thresholdsHigh-burden countriesEnd TB StrategySubstantial health gainsNet cost savingsResource implicationsCost-effectiveness thresholdMost intervention approachesTB StrategyTuberculosis incidenceMost interventionsSocietal perspectiveHealth gainsIntervention mixMelinda Gates FoundationSubstantial healthHealth effectsCurrent practiceExpansion of accessIntervention approachesEmpirical cost dataCost dataIntervention