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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… here’, or ‘when do we see the end of the epidemic?’ are all spatially specific questions that are commonly of … beginning June 28 to week beginning December 27 (weeks 26 – 52 in previous figure) ¾ 46 counties, 27 time periods, … - Some counties do not undergo an outbreak of disease for all the diseases reported in the cluster - Several large … -
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… accumulate over time and sequential analyses of all the data collected so far is a key concept to early … accumulate over time and sequential analyses of all the data collected so far is a key concept to early … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 …