Displaying results 1 - 3 of 3
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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… NYC’s 52 hospitals, representing approximately 95% of ED visits citywide. Chief complaint (CC) is categorized into … and among EDs. The variations seen in CC word count may affect the quality and type of data received by the … DOHMH, thereby affecting the ability to detect syndrome visits consistently. Objective To identify changes in … -
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… of heat-related ambulance calls and emergency department visits and excess natural cause mortality in New York City. … of heat-related ambulance calls and emergency department visits and excess natural cause mortality in New York City. … -
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… event detection. Generalized linear mixed models (GLMMs) may be a useful statistical framework for examining … event detection. Generalized linear mixed models (GLMMs) may be a useful statistical framework for examining …