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New York City Syndromic Surveillance Systems
The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) has conducted prospective surveillance of nonspecific health indicators (syndromes) since 1995 (Heffernan et al., 2004a). The DOHMH syndromic surveillance system consists of (ED)-visits-based surveillance system and a few other...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498874/ http://dx.doi.org/10.1007/978-1-4419-1278-7_11 |
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author | Chen, Hsinchun Zeng, Daniel Yan, Ping |
author_facet | Chen, Hsinchun Zeng, Daniel Yan, Ping |
author_sort | Chen, Hsinchun |
collection | PubMed |
description | The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) has conducted prospective surveillance of nonspecific health indicators (syndromes) since 1995 (Heffernan et al., 2004a). The DOHMH syndromic surveillance system consists of (ED)-visits-based surveillance system and a few other complementary surveillance systems for Emergency Medical Services (EMS) ambulance dispatch calls, retail pharmacy sales, and work absenteeism data. These systems started operating separately, and different analytical methods are being employed by each of them. A “drop-in” syndromic surveillance system that deployed CDC field-staff to conduct 24 hours surveillance for bioterrorism related illness was implemented following the September 11th 2001 attack (Das et al., 2003; CDC, 2002). We use Table 11-1 to summarize these systems that comprise the syndromic surveillance activities in New York City. However, in the following text, the case study will focus around the ED visits based syndromic surveillance system in NYC. |
format | Online Article Text |
id | pubmed-7498874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
record_format | MEDLINE/PubMed |
spelling | pubmed-74988742020-09-18 New York City Syndromic Surveillance Systems Chen, Hsinchun Zeng, Daniel Yan, Ping Infectious Disease Informatics Article The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) has conducted prospective surveillance of nonspecific health indicators (syndromes) since 1995 (Heffernan et al., 2004a). The DOHMH syndromic surveillance system consists of (ED)-visits-based surveillance system and a few other complementary surveillance systems for Emergency Medical Services (EMS) ambulance dispatch calls, retail pharmacy sales, and work absenteeism data. These systems started operating separately, and different analytical methods are being employed by each of them. A “drop-in” syndromic surveillance system that deployed CDC field-staff to conduct 24 hours surveillance for bioterrorism related illness was implemented following the September 11th 2001 attack (Das et al., 2003; CDC, 2002). We use Table 11-1 to summarize these systems that comprise the syndromic surveillance activities in New York City. However, in the following text, the case study will focus around the ED visits based syndromic surveillance system in NYC. 2009-07-14 /pmc/articles/PMC7498874/ http://dx.doi.org/10.1007/978-1-4419-1278-7_11 Text en © Springer Science+Business Media, LLC 2010 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Chen, Hsinchun Zeng, Daniel Yan, Ping New York City Syndromic Surveillance Systems |
title | New York City Syndromic Surveillance Systems |
title_full | New York City Syndromic Surveillance Systems |
title_fullStr | New York City Syndromic Surveillance Systems |
title_full_unstemmed | New York City Syndromic Surveillance Systems |
title_short | New York City Syndromic Surveillance Systems |
title_sort | new york city syndromic surveillance systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498874/ http://dx.doi.org/10.1007/978-1-4419-1278-7_11 |
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