2023
Transmission modeling to infer tuberculosis incidence prevalence and mortality in settings with generalized HIV epidemics
Dodd P, Shaweno D, Ku C, Glaziou P, Pretorius C, Hayes R, MacPherson P, Cohen T, Ayles H. Transmission modeling to infer tuberculosis incidence prevalence and mortality in settings with generalized HIV epidemics. Nature Communications 2023, 14: 1639. PMID: 36964130, PMCID: PMC10037365, DOI: 10.1038/s41467-023-37314-1.Peer-Reviewed Original ResearchConceptsHigh HIV prevalence settingsEstimation of burdenHIV prevalence settingsGeneralized HIV epidemicsTB transmission modelAntiretroviral therapyTB infectionTB incidenceHIV prevalenceTB prevalencePrevalence settingsTB epidemicHIV epidemicHigh burdenBurden estimatesNotification dataAnnual riskSingle pathogenIntervention impactTherapy effectsTuberculosisPrevalenceEpidemicBurdenAfrican countries
2019
Cost‐effectiveness of expanding the capacity of opioid agonist treatment in Ukraine: dynamic modeling analysis
Morozova O, Crawford FW, Cohen T, Paltiel AD, Altice FL. Cost‐effectiveness of expanding the capacity of opioid agonist treatment in Ukraine: dynamic modeling analysis. Addiction 2019, 115: 437-450. PMID: 31478285, PMCID: PMC7015766, DOI: 10.1111/add.14797.Peer-Reviewed Original ResearchConceptsOpioid agonist treatmentOpioid use disorderOAT coverageAgonist treatmentGross domestic productOpioid use initiationOpioid addiction epidemicOAT accessHIV epidemicUse disordersAddiction epidemicCapita gross domestic productPay thresholdsTreatment demandUse initiationAddiction treatmentIncremental costBaseline capacityTreatmentPotential peer effectsDomestic productTreatment spilloversEpidemicPeer effectsCoverage levels
2014
The potential effects of changing HIV treatment policy on tuberculosis outcomes in South Africa
Pretorius C, Menzies NA, Chindelevitch L, Cohen T, Cori A, Eaton JW, Fraser C, Gopalappa C, Hallett TB, Salomon JA, Stover J, White RG, Dodd PJ. The potential effects of changing HIV treatment policy on tuberculosis outcomes in South Africa. AIDS 2014, 28: s25-s34. PMID: 24468944, DOI: 10.1097/qad.0000000000000085.Peer-Reviewed Original ResearchConceptsAntiretroviral therapyTB incidenceART expansionHIV treatment policyHIV-positive individualsART eligibility criteriaTuberculosis outcomesART eligibilitySurvival benefitTB burdenTB casesHIV transmissionART coverageHIV treatmentHIV epidemicMortality reductionPositive individualsEligibility criteriaTreatment policyART servicesTuberculosisIncidenceCurrent eligibilityIndependent mathematical modelsRecent findings
2012
Modeling the Dynamic Relationship Between HIV and the Risk of Drug-Resistant Tuberculosis
Sergeev R, Colijn C, Murray M, Cohen T. Modeling the Dynamic Relationship Between HIV and the Risk of Drug-Resistant Tuberculosis. Science Translational Medicine 2012, 4: 135ra67. PMID: 22623743, PMCID: PMC3387814, DOI: 10.1126/scitranslmed.3003815.Peer-Reviewed Original ResearchConceptsMultidrug-resistant TBDrug-resistant tuberculosisDrug-resistant TBHIV-seropositive individualsHIV statusTB patientsLatent Mycobacterium tuberculosis infectionIndividual HIV statusIncident HIV infectionMultidrug-resistant tuberculosisMycobacterium tuberculosis infectionEffects of HIVCross-sectional studyDrug-resistant formsRise of HIVIndividual-level associationsAcquisition of resistanceAverage CD4HIV infectionResistance-conferring mutationsTB controlTuberculosis infectionResistant tuberculosisTB drugsHIV epidemic