2020
Tracking and predicting U.S. influenza activity with a real-time surveillance network
Leuba SI, Yaesoubi R, Antillon M, Cohen T, Zimmer C. Tracking and predicting U.S. influenza activity with a real-time surveillance network. PLOS Computational Biology 2020, 16: e1008180. PMID: 33137088, PMCID: PMC7707518, DOI: 10.1371/journal.pcbi.1008180.Peer-Reviewed Original ResearchConceptsInfluenza test resultsInfluenza activityU.S. influenza activityPhysician visitsInfluenza trendsInfluenza-like illness activityNational surveillance networkSurveillance networkInfluenza seasonCurrent burdenU.S. CentersIllness activityDisease controlUnited StatesLinear logistic modelVisitsLogistic modelValid estimatesProportion
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 Research