Displaying results 121 - 128 of 535
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Detecting Changes in Chief Complaint Word Count: Effects on Syndromic Surveillance
Content Type: Abstract
The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) receives daily ED data from 49 of NYC’s 52 hospitals, representing approximately 95% of ED visits citywide. Chief complaint (CC) is categorized into syndrome groupings using… read more -
Detecting the Determinants of Health in Social Media
Content Type: Abstract
The explosive use of social media sites presents a unique opportunity for developing alternative methods for understanding the health of the public. The near ubiquity of smartphones has further increased the volume and resolution of data that is… read more -
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