Displaying results 1 - 8 of 18
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Syndromic Surveillance from a Local Perspective: A Review of the Literature
Content Type: Abstract
Public health disease surveillance is defined as the ongoing systematic collection, analysis and interpretation of health data for use in the planning, implementation and evaluation of public health, with the overarching goal of providing… read more -
Surveillance of Heat-related Morbidity: Relation to Heat-related Excess Mortality
Content Type: Abstract
The impact of heat on mortality is well documented but deaths tend to lag extreme heat and mortality data is generally not available for timely surveillance during heat waves. Recently, systems for near-real time surveillance of heat illness… read more -
Risk of Cardiovascular Morbidity and Mortality in Relation to Temperature
Content Type: Abstract
Extreme temperatures are consistently shown to have an effect on CVD-related mortality [1, 2]. A large multi-city study of mortality demonstrated a cold-day and hot-day weather effect on CVD-related deaths, with the larger impact occurring on the… read more -
Long-Term Asthma Trend Monitoring in New York City: A Mixed Model Approach
Content Type: Abstract
Over the last decade, the application of syndromic surveillance systems has expanded beyond early event detection to include longterm disease trend monitoring. However, statistical methods employed for analyzing syndromic data tend to focus on early… read more -
Defining Public Health Situation Awareness - Outcomes and Metrics for Evaluation
Content Type: Abstract
A decade ago, the primary objective of syndromic surveillance was bioterrorism and outbreak early event detection (EED. Syndromic systems for EED focused on rapid, automated data collection, processing and statistical anomaly detection of indicators… read more -
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 -
Evaluating a Seasonal ARIMA Model for Event Detection in New York City
Content Type: Abstract
ARIMA models use past values (autoregressive terms) and past forecasting errors (moving average terms) to generate future forecasts, making it a potential candidate method for modeling citywide time series of syndromic data [1]. While past research… read more -
Detecting Unanticipated Increases in Emergency Department Chief Complaint Keywords
Content Type: Abstract
The CC text field is a rich source of information, but its current use for syndromic surveillance is limited to a fixed set of syndromes that are routine, suspected, expected, or discovered by chance. In addition to syndromes that are routinely… read more