Displaying results 1 - 1 of 1
-
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 …