2022
Racial/Ethnic Segregation and Access to COVID-19 Testing: Spatial Distribution of COVID-19 Testing Sites in the Four Largest Highly Segregated Cities in the United States
Asabor EN, Warren JL, Cohen T. Racial/Ethnic Segregation and Access to COVID-19 Testing: Spatial Distribution of COVID-19 Testing Sites in the Four Largest Highly Segregated Cities in the United States. American Journal Of Public Health 2022, 112: 518-526. PMID: 35196059, PMCID: PMC8887160, DOI: 10.2105/ajph.2021.306558.Peer-Reviewed Original Research
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 ResearchMeSH KeywordsCentral AmericaHealth Services AccessibilityHumansIncidencePrisonersRisk FactorsSouth AmericaTuberculosis
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 dataInterventionFeasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models
Houben RMGJ, Menzies NA, Sumner T, Huynh GH, Arinaminpathy N, Goldhaber-Fiebert JD, Lin HH, Wu CY, Mandal S, Pandey S, Suen SC, Bendavid E, Azman AS, Dowdy DW, Bacaër N, Rhines AS, Feldman MW, Handel A, Whalen CC, Chang ST, Wagner BG, Eckhoff PA, Trauer JM, Denholm JT, McBryde ES, Cohen T, Salomon JA, Pretorius C, Lalli M, Eaton JW, Boccia D, Hosseini M, Gomez GB, Sahu S, Daniels C, Ditiu L, Chin DP, Wang L, Chadha VK, Rade K, Dewan P, Hippner P, Charalambous S, Grant AD, Churchyard G, Pillay Y, Mametja LD, Kimerling ME, Vassall A, White RG. Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models. The Lancet Global Health 2016, 4: e806-e815. PMID: 27720688, PMCID: PMC6375908, DOI: 10.1016/s2214-109x(16)30199-1.Peer-Reviewed Original ResearchConceptsEnd TB Strategy targetsPreventive therapyTuberculosis incidenceContinuous isoniazid preventive therapyGlobal tuberculosis targetsIsoniazid preventive therapySymptoms of tuberculosisActive case findingNational Tuberculosis ProgrammeEnd TB StrategyHigh-burden countriesAntiretroviral therapyLatent tuberculosisStrategy targetsTuberculosis burdenTuberculosis careTuberculosis ProgrammeTB StrategyTuberculosis transmissionHealth centersAdditional interventionsTuberculosis interventionsCase findingTuberculosis epidemiologyEpidemiological impact
2014
How 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