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Syndromic surveillance systems can detect increases in respiratory and gastrointestinal illness, but diagnosis of etiologic agents can be delayed due to difficult, time-consuming identification and low rates of testing for viral pathogens. Rapid diagnostic (RD) assays may aid in early... Read more

Content type: Abstract

There has been much recent interest in using disease signatures to better recognize disease outbreaks. Conversely, the metrics used to describe these signatures can also be used to better characterize the outbreaks. Recent work at the New York City Department of Health has shown the ability to... Read more

Content type: Abstract

Join the ISDS Public Health Practice Committee for a special meeting with Dr. Farzad Mostashari, the National Coordinator for Health Information Technology and founding president of ISDS. Following a brief discussion with Dr. Mostashari about Meaningful Use, the committee will then host Ms. Mary... Read more

Content type: Webinar

Syndromic Surveillance has been in use in New York City since 2001, with 2.5 million visits reported from 39 participating emergency departments, covering an estimated 75% of annual visits. As syndromic surveillance becomes increasingly spatial and tied to geography, the resulting spatial... Read more

Content type: Abstract

This paper describes the value of a distributed approach to population health efforts that span clinical research, quality measurement and public health. The goal of the paper is to challenge the traditional paradigm which relies on centralized data repositories with more distributed models... Read more

Content type: Abstract

We describe age- and syndrome-specific emergency department (ED) visit patterns for diarrhea and vomiting associated with periods of confirmed epidemic rotavirus and presumed epidemic norovirus in New York City (NYC).

Content type: Abstract

Objective: To enable improved health surveillance and clinical decision support within ambulatory Electronic Health Record (EHR) systems.

Content type: Abstract

This paper explores some visualization methods for characterizing spatial signals detected by SaTScan and discusses how these maps might aid in deciding whether to investigate a signal, as well as the scope and focus of the investigation.

Content type: Abstract

New York City ED syndromic surveillance data uses SaTScan to detect spatial signals. SaTScan analysis has been integrated into SAS since 2002, and signal maps have been generated from SAS since 2003. Signal maps are created occasionally to investigate a severe outbreak based on the SaTScan... Read more

Content type: Abstract

 Internet-based technologies have been used to assist in disease surveillance and reporting.  The Public Health Agency of Canada operates the Global Public Health Information Network, credited with early notification of many outbreaks (including SARS) through automated multilingual analysis of... Read more

Content type: Abstract

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