Displaying results 9 - 16 of 18
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Evaluation of Temporal Aberration Detection Methods in New York City Syndromic Data
Content Type: Abstract
The NYC syndromic surveillance system has been monitoring syndromes from NYC emergency department (ED) visits for over a decade. We applied several aberration detection methodologies to a time series of ED visits in NYC spiked with synthetic… read more -
Post-disaster Surveillance among State Health Departments in the United States
Content Type: Abstract
The role of public health in preparing for, responding to, and recovering from emergencies has expanded as a result of the massive impact recent disasters have had on affected populations. Nearly every large-scale disaster carries substantial public… read more -
Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data
Content Type: Abstract
As technology advances, the implementation of statistically and computationally intensive methods to detect unusual clusters of illness becomes increasingly feasible at the state and local level [2]. Bayesian methods allow for the incorporation of… 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 -
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 -
Comparison between HL7 and Legacy Syndromic Surveillance Data in New York City
Content Type: Abstract
Data from the Emergency Departments (EDs) of 49 hospitals in New York City (NYC) is sent to the Department of Health and Mental Hygiene (DOHMH) daily as part of the syndromic surveillance system. Currently, thirty-four of the EDs transmit data as… read more -
Building a Better Syndromic Surveillance System: the New York City Experience
Content Type: Abstract
The New York City (NYC) syndromic surveillance system has monitored syndromes from NYC emergency department (ED) visits since 2001, using the temporal and spatial scan statistic in SaTScan for aberration detection. Since our syndromic system was… read more -
Investigating a Syndromic Surveillance Signal with Complimentary Data Systems
Content Type: Abstract
From June 4-8, 2015, the New York City (NYC) syndromic surveillance system detected five one-day citywide signals in sales of over-the-counter (OTC) antidiarrheal medications using the CUSUM method with a 56-day moving baseline. The OTC system… read more