Displaying results 737 - 744 of 2343
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Detection of a Swine Erysipelas Outbreak Using Enhanced Passive Surveillance
Content Type: Abstract
EPS is a comprehensive effort to complement other types of surveillance and provide early detection and situational awareness of significant endemic, zoonotic, and emerging diseases of livestock. The concept for EPS involves gathering syndromic and… read more -
Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports
Content Type: Abstract
Early detection of influenza outbreaks is critical to public health officials. Case detection is the foundation for outbreak detection. Previous study by Elkin el al. demonstrated that using individual emergency department (ED) reports can better… read more -
Determinants of Outbreak Detection Performance
Content Type: Abstract
The choice of outbreak detection algorithm and its configuration can result in important variations in the performance of public health surveillance systems. Our work aims to characterize the performance of detectors based on outbreak types. We are… read more -
Development of a Vietnamese Language Outbreak Mapping and Surveillance System
Content Type: Abstract
In the South East Asia Region (SEAR), infectious disease continues to be a leading cause of death. SEAR countries, like Vietnam, are also at risk for outbreaks of emerging diseases due to high population density, proximity to animals and… read more -
Development of Automated Data Quality Indicators and Visualizations using Florida's ESSENCE System
Content Type: Abstract
Understanding your data is a fundamental pillar of disease surveillance success. With the increase in automated, electronic surveillance tools many public health users have begun to rely on those tools to produce reports that contain processed… read more -
Differentiating ZIP Codes in Syndromic Data; What Can They Tell Us?
Content Type: Abstract
The NYC Department of Health and Mental Hygiene (DOHMH) ED syndromic surveillance system receives data from 95% of all ED visits in NYC totaling 4 million visits each year. The data include residential ZIP code as reported by the patient. ZIP code… read more -
Disease Mapping with Spatially Uncertain Data
Content Type: Abstract
Uncertainty introduced by the selective identification of cases must be recognized and corrected for in order to accurately map the distribution of risk. Consider the problem of identifying geographic areas with increased risk of DRTB. Most… read more -
Disease Models for Event Prediction
Content Type: Abstract
One of the primary goals of this research was to characterize the viability of biosurveillance models to provide operationally relevant information to decision makers, in order to identify areas for future research. Two critical characteristics… read more