Displaying results 1 - 8 of 8
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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 -
Multidimensional Semantic Scan for Pre-Syndromic Disease Surveillance
Content Type: Abstract
An interdisciplinary team convened by ISDS to translate public health use-case needs into well-defined technical problems recently identified the need for new pre-syndromic surveillance methods that do not rely on existing syndromes or pre-defined… 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 -
Using Syndromic Surveillance to Investigate Tattoo-related Skin Infections in NYC
Content Type: Abstract
In 2012, an outbreak of Mycobacterium chelonae infections in tattoo recipients in Rochester, NY was found to be associated with premixed tattoo ink contaminated before distribution.1 In May 2012, a case of M. chelonae was reported in a New York City… 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 -
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