Displaying results 1 - 3 of 3
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Online surveillance of multivariate small area disease data: A Bayesian approach
Content Type: Abstract
The ability to rapidly detect any substantial change in disease incidence is of critical importance to facilitate timely public health response and, consequently, to reduce undue morbidity and mortality. Unlike testing methods (1, 2), modeling for… read more -
Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data
Content Type: Abstract
As technology advances, the implementation of statistically and computationally intensive methods to detect unusual clusters of illness becomes increasingly feasible at the state and local level [2]. Bayesian methods allow for the incorporation of… read more -
Bayesian Surveillance for the Detection of Small Area Health Anomalies
Content Type: Webinar
The surveillance task when faced with small area health data is more complex than in the time domain alone. Both changes in time and space must be considered. Such questions as ‘where will the infection spread to next?’ and, ‘when will the infection… read more