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
2013
How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies
Robinson K, Fyson N, Cohen T, Fraser C, Colijn C. How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies. PLOS Computational Biology 2013, 9: e1003105. PMID: 23818840, PMCID: PMC3688487, DOI: 10.1371/journal.pcbi.1003105.Peer-Reviewed Original ResearchConceptsHost contact networksPathogen phylogeniesDegree distributionContact networksHomogeneous degree distributionDifferent host networksHeterogeneous degree distributionsCluster sizeMean cluster sizeEpidemic trajectoriesCluster numberTree imbalanceEpidemic spreadDynamic networksPathogen's opportunitiesControl strategyDynamicsNetwork structureTrajectoriesBranch lengthsHost networkNetworkPopulation dynamicsInherent variabilityDistribution
2006
Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission
Cohen T, Colijn C, Finklea B, Murray M. Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission. Journal Of The Royal Society Interface 2006, 4: 523-531. PMID: 17251134, PMCID: PMC2373405, DOI: 10.1098/rsif.2006.0193.Peer-Reviewed Original ResearchConceptsTB control strategiesPublic health policy makersType of TBMolecular epidemiologic toolsHealth policy makersTB diseasePrimary diseasePrimary progressionTB incidenceRecent infectionTB transmissionTuberculosis diseaseInfectious disease transmissionTuberculosis epidemicRecent transmissionEpidemiological dataForce of infectionInfectious casesLatent infectionEpidemiologic toolInfectionMycobacterium tuberculosisSpecific populationsDiseaseEpidemic trajectories