Displaying results 1 - 2 of 2
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Bayesian Methods for Syndromic Surveillance
Content Type: Abstract
Syndromic surveillance needs to be (1) transparent, (2) actionable, and (3) flexible. Traditional frequentist approaches to syndromic surveillance, such as cusum charts and scan statistics, tend to fail on all three criteria. First, the validity of… read more… is generally difficult to check and the methods are hard to modify; second, the false positive rate makes it … tions is generally difficult to check and the methods are hard to modify; second, the false positive rate makes it … Surveillance for influenza-like illness in an ambulatory care network,” Emerging Infectious Diseases, 10. 1806-1811. … -
A Spatio-Temporal Bayesian Model for Syndromic Surveillance: Properties and Model Performance
Content Type: Abstract
Syndromic surveillance uses syndrome (a specific collection of clinical symptoms) data that are monitored as indicators of a potential disease outbreak. Advanced surveillance systems have been implemented globally for early detection of infectious… read more… (GMRF) and spatio-temporal conditional autoregressive (CAR) modeling. Results The methodology has some nice … coarsely discretized in time, simple models such as the CAR model will continue to be valuable for descriptive … D, Datta G, Karr A, Lynch J, Niemi J, Vera F. Bayesian CAR models for syndromic surveillance on multiple data …