Displaying results 1 - 8 of 13
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Monitoring for Local Transmission of Zika Virus using Emergency Department Data
Content Type: Abstract
The first travel-associated cases of Zika virus infection in New York City (NYC) were identified in January 2016. Local transmission of Zika virus from imported cases is possible due to presence of Aedes albopictus mosquitos. Timely detection of… 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 -
Evaluating Syndromic Data for Surveillance of Non-infectious Disease
Content Type: Abstract
Syndromic surveillance data has predominantly been used for surveillance of infectious disease and for broad symptom types that could be associated with bioterrorism. There has been a growing interest to expand the uses of syndromic data beyond… read more -
Evaluating Utility of Cold-Injury Syndromic Surveillance Data in New York City
Content Type: Abstract
Cold weather exposure-related injuries range from hypothermia to less severe conditions such as frost bite, trench foot, and chilblains, which are all preventable causes of mortality and morbidity. In recent years, NYC has successfully used… read more -
Using Syndromic Emergency Department Data to Augment Oral Health Surveillance
Content Type: Abstract
Using the chief complaint field from our established syndromic ED system, we developed definitions for potentially preventable oral health visits (OHV) and examined patterns in 2009-2011 data. Under the widest definition, OHV comprised about 1% of… read more -
Development of a Custom Spell-Checker for Emergency Department Data
Content Type: Abstract
Emergency department (ED) syndromic surveillance relies on a chief complaint, which is often a free-text field, and may contain misspelled words, syntactic errors, and healthcare-specific and/or facility-specific abbreviations. Cleaning of the chief… 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 -
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