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
The potential impact of coinfection on antimicrobial chemotherapy and drug resistance
Birger RB, Kouyos RD, Cohen T, Griffiths EC, Huijben S, Mina MJ, Volkova V, Grenfell B, Metcalf CJE. The potential impact of coinfection on antimicrobial chemotherapy and drug resistance. Trends In Microbiology 2015, 23: 537-544. PMID: 26028590, PMCID: PMC4835347, DOI: 10.1016/j.tim.2015.05.002.Peer-Reviewed Original Research
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
2011
Dynamic Health Policies for Controlling the Spread of Emerging Infections: Influenza as an Example
Yaesoubi R, Cohen T. Dynamic Health Policies for Controlling the Spread of Emerging Infections: Influenza as an Example. PLOS ONE 2011, 6: e24043. PMID: 21915279, PMCID: PMC3167826, DOI: 10.1371/journal.pone.0024043.Peer-Reviewed Original ResearchConceptsHealth policyTransmission-reducing interventionsOverall population healthType of interventionAntiviral drugsNovel infectious pathogensOverall healthEmerging InfectionsInfectious pathogensMask useCurrent interventionsCourse of epidemicsPopulation healthInterventionEpidemicPublic healthVaccineInfluenzaHealthDisease spreadSocial distancingCurrent informationInfection