Literature DB >> 15714627

Daily Emergency Department Surveillance System --- Bergen County, New Jersey.

Marc Paladini1.   

Abstract

The purpose of the Daily Emergency Department Surveillance System (DEDSS) is to provide consistent, timely, and robust data that can be used to guide public health activities in Bergen County, New Jersey. DEDSS collects data on all emergency department visits in four hospitals in Bergen County and analyzes them for aberrant patterns of disease or single instances of certain diseases or syndromes. The system monitors for clusters of patients with syndromes consistent with the prodrome of a terrorism-related illness (e.g., anthrax or smallpox) or naturally occurring disease (e.g., pandemic influenza or food and waterborne outbreaks). The health department can use these data to track and characterize the temporal and geographic spread of a known outbreak or demonstrate the absence of cases during the same period (e.g., severe acute respiratory syndrome [SARS] or anthrax). DEDSS was designed to be flexible and readily adaptable as local, state, or federal surveillance needs evolve.

Entities:  

Mesh:

Year:  2004        PMID: 15714627

Source DB:  PubMed          Journal:  MMWR Suppl        ISSN: 2380-8942


  6 in total

Review 1.  Review of syndromic surveillance: implications for waterborne disease detection.

Authors:  Magdalena Berger; Rita Shiau; June M Weintraub
Journal:  J Epidemiol Community Health       Date:  2006-06       Impact factor: 3.710

2.  Evaluation of natural language processing from emergency department computerized medical records for intra-hospital syndromic surveillance.

Authors:  Solweig Gerbier; Olga Yarovaya; Quentin Gicquel; Anne-Laure Millet; Véronique Smaldore; Véronique Pagliaroli; Stefan Darmoni; Marie-Hélène Metzger
Journal:  BMC Med Inform Decis Mak       Date:  2011-07-28       Impact factor: 2.796

3.  Evaluation of syndromic algorithms for detecting patients with potentially transmissible infectious diseases based on computerised emergency-department data.

Authors:  Solweig Gerbier-Colomban; Quentin Gicquel; Anne-Laure Millet; Christophe Riou; Jacqueline Grando; Stefan Darmoni; Véronique Potinet-Pagliaroli; Marie-Hélène Metzger
Journal:  BMC Med Inform Decis Mak       Date:  2013-09-03       Impact factor: 2.796

4.  Propagation of program control: a tool for distributed disease surveillance.

Authors:  Johan Gustav Bellika; Toralf Hasvold; Gunnar Hartvigsen
Journal:  Int J Med Inform       Date:  2006-04-19       Impact factor: 4.046

5.  A rapid clinic-based service for an emergency department of a tertiary teaching hospital during a dengue outbreak.

Authors:  Hsin-I Shih; Yi-Ting Huang; Chih-Chia Hsieh; Tzu-Ching Sung
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

6.  Automated real time constant-specificity surveillance for disease outbreaks.

Authors:  Shannon C Wieland; John S Brownstein; Bonnie Berger; Kenneth D Mandl
Journal:  BMC Med Inform Decis Mak       Date:  2007-06-13       Impact factor: 2.796

  6 in total

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