2021
Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study
Kishore N, Taylor AR, Jacob PE, Vembar N, Cohen T, Buckee CO, Menzies NA. Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study. The Lancet Digital Health 2021, 4: e27-e36. PMID: 34740555, PMCID: PMC8563007, DOI: 10.1016/s2589-7500(21)00214-4.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 transmissionPopulation-based studyLaboratory-confirmed casesSARS-CoV-2 pandemicSARS-CoV-2Non-pharmaceutical interventionsCOVID-19 transmissionCOVID-19 casesEpidemiological dataReproduction numberEffective reproduction numberHealth StatisticsEquity of accessEpidemic trajectoriesCOVID-19Public healthTransmission indicatorsPopulation levelContact patterns
2015
Data for action: collection and use of local data to end tuberculosis
Theron G, Jenkins HE, Cobelens F, Abubakar I, Khan AJ, Cohen T, Dowdy DW. Data for action: collection and use of local data to end tuberculosis. The Lancet 2015, 386: 2324-2333. PMID: 26515676, PMCID: PMC4708262, DOI: 10.1016/s0140-6736(15)00321-9.Peer-Reviewed Original Research
2010
Estimating the magnitude and direction of bias in tuberculosis drug resistance surveys conducted only in the public sector: a simulation study
Cohen T, Hedt BL, Pagano M. Estimating the magnitude and direction of bias in tuberculosis drug resistance surveys conducted only in the public sector: a simulation study. BMC Public Health 2010, 10: 355. PMID: 20565947, PMCID: PMC2898828, DOI: 10.1186/1471-2458-10-355.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiasData CollectionDrug Resistance, BacterialFemaleHumansIndiaMaleModels, TheoreticalPublic SectorTuberculosis, Pulmonary
2008
Are Survey-Based Estimates of the Burden of Drug Resistant TB Too Low? Insight from a Simulation Study
Cohen T, Colijn C, Finklea B, Wright A, Zignol M, Pym A, Murray M. Are Survey-Based Estimates of the Burden of Drug Resistant TB Too Low? Insight from a Simulation Study. PLOS ONE 2008, 3: e2363. PMID: 18523659, PMCID: PMC2408555, DOI: 10.1371/journal.pone.0002363.Peer-Reviewed Original ResearchMeSH KeywordsData CollectionDisease OutbreaksHumansIncidencePopulation SurveillancePrevalenceTuberculosis, Multidrug-ResistantConceptsResistant tuberculosisIncident casesTotal burdenDrug-resistant TBDrug-resistant tuberculosisSecond-line antibioticsDrug treatment regimensDrug sensitivity testingDrug-resistant strainsBurden of resistanceEmergence of tuberculosisResistant TBTreatment regimensPrevalent casesWorldwide burdenIntroduction of interventionsRoutine surveillanceSurveillance strategiesDrug resistanceTuberculosisLaboratory capacityMycobacterium tuberculosisSensitivity testingTuberculosis modelBurden