Displaying results 881 - 888 of 1294
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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 -
Use of syndromic surveillance in decision making during the H1N1 pandemic in Ontario, Canada
Content Type: Abstract
For public health surveillance to achieve its desired purpose of reducing morbidity and mortality, surveillance data must be linked to public health response. While there is evidence of the growing popularity of syndromic surveillance (1,2), the… read more -
Advantages of real time surveillance for outbreak detection and management
Content Type: Abstract
It is admitted that real time surveillance system permits to reduce delay of outbreak detection, and preventive measures implementation. It is usually based on pre diagnostic numeric data collection and transmission. ASTER (Alerte et surveillance en… read more -
Disease surveillance using school absenteeism data in rural Cambodia
Content Type: Abstract
Previous studies in developed countries showed school absenteeism data can serve as a proxy for monitoring infectious disease activities and facilitates early community outbreak detection. However, absenteeism patterns may differ in developing… read more -
The Exploration of Various Methods for Shigella Outbreak Detection
Content Type: Abstract
Shigella remains highly infectious in the United States and rapid detection of Shigella outbreaks is crucial for disease control and timely public health actions. The New York State Department of Health (NYSDOH) implemented a Communicable Disease… read more -
Inferring Travel from Social Media
Content Type: Abstract
The spread of infectious diseases is facilitated by human travel. Infectious diseases are often introduced into a population by travelers and then spread among susceptible individuals. Likewise uninfected susceptible travelers can move into… read more -
Adaptive Likelihood Ratio Methods for the Detection of Space-Time Disease Clusters
Content Type: Abstract
Data obtained through public health surveillance systems are used to detect and locate clusters of cases of diseases in space-time, which may indicate the occurrence of an outbreak or an epidemic. We present a methodology based on adaptive… read more -
Spatial Cluster Detection in Case-Control Datasets with the Autonomous Leaves Graph
Content Type: Abstract
Ordering-based approaches [1,2] and quadtrees [3] have been introduced recently to detect multiple spatial clusters in point event datasets. The Autonomous Leaves Graph (ALG) [4] is an efficient graph-based data structure to handle the communication… read more