Literature DB >> 15714620

What is syndromic surveillance?

Kelly J Henning1.   

Abstract

Innovative electronic surveillance systems are being developed to improve early detection of outbreaks attributable to biologic terrorism or other causes. A review of the rationale, goals, definitions, and realistic expectations for these surveillance systems is a crucial first step toward establishing a framework for further research and development in this area. This commentary provides such a review for current syndromic surveillance systems. Syndromic surveillance has been used for early detection of outbreaks, to follow the size, spread, and tempo of outbreaks, to monitor disease trends, and to provide reassurance that an outbreak has not occurred. Syndromic surveillance systems seek to use existing health data in real time to provide immediate analysis and feedback to those charged with investigation and follow-up of potential outbreaks. Optimal syndrome definitions for continuous monitoring and specific data sources best suited to outbreak surveillance for specific diseases have not been determined. Broadly applicable signal-detection methodologies and response protocols that would maximize detection while preserving scant resources are being sought. Stakeholders need to understand the advantages and limitations of syndromic surveillance systems. Syndromic surveillance systems might enhance collaboration among public health agencies, health-care providers, information-system professionals, academic investigators, and industry. However, syndromic surveillance does not replace traditional public health surveillance, nor does it substitute for direct physician reporting of unusual or suspect cases of public health importance.

Entities:  

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Year:  2004        PMID: 15714620

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


  91 in total

1.  Use of pharmacy data to evaluate smoking regulations' impact on sales of nicotine replacement therapies in New York City.

Authors:  Kristina B Metzger; Farzad Mostashari; Bonnie D Kerker
Journal:  Am J Public Health       Date:  2005-06       Impact factor: 9.308

2.  AEGIS: a robust and scalable real-time public health surveillance system.

Authors:  Ben Y Reis; Chaim Kirby; Lucy E Hadden; Karen Olson; Andrew J McMurry; James B Daniel; Kenneth D Mandl
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

3.  Real-time public health surveillance for emergency preparedness.

Authors:  Jean-Paul Chretien; Nancy E Tomich; Joel C Gaydos; Patrick W Kelley
Journal:  Am J Public Health       Date:  2009-06-18       Impact factor: 9.308

4.  Understanding detection performance in public health surveillance: modeling aberrancy-detection algorithms.

Authors:  David L Buckeridge; Anna Okhmatovskaia; Samson Tu; Martin O'Connor; Csongor Nyulas; Mark A Musen
Journal:  J Am Med Inform Assoc       Date:  2008-08-28       Impact factor: 4.497

5.  What can we learn about the Ebola outbreak from tweets?

Authors:  Michelle Odlum; Sunmoo Yoon
Journal:  Am J Infect Control       Date:  2015-06       Impact factor: 2.918

6.  [Syndromic surveillance of Influenza-like illness in primary care: a complement to the sentinel surveillance network for periods of increased incidence of Influenza].

Authors:  J Arranz Izquierdo; A Leiva Rus; E Carandell Jäger; A Pujol Buades; M C Méndez Castell; A Salvà Fiol; M Esteva Cantó
Journal:  Aten Primaria       Date:  2011-09-15       Impact factor: 1.137

7.  Community-Based Surveillance to Monitor Mortality in a Malaria-Endemic and Ebola-Epidemic Setting in Rural Guinea.

Authors:  Amanda Tiffany; Faya Pascal Moundekeno; Alexis Traoré; Melat Haile; Esther Sterk; Timothé Guilavogui; Micaela Serafini; Blaise Genton; Rebecca F Grais
Journal:  Am J Trop Med Hyg       Date:  2016-10-03       Impact factor: 2.345

8.  Research using emergency department-related data sets: current status and future directions.

Authors:  Jon Mark Hirshon; Margaret Warner; Charlene B Irvin; Richard W Niska; Daniel A Andersen; Gordon S Smith; Linda F McCaig
Journal:  Acad Emerg Med       Date:  2009-11       Impact factor: 3.451

9.  Acute diarrheal syndromic surveillance: effects of weather and holidays.

Authors:  H J Kam; S Choi; J P Cho; Y G Min; R W Park
Journal:  Appl Clin Inform       Date:  2010-04-14       Impact factor: 2.342

10.  Code-based syndromic surveillance for influenzalike illness by International Classification of Diseases, Ninth Revision.

Authors:  Nicola Marsden-Haug; Virginia B Foster; Philip L Gould; Eugene Elbert; Hailiang Wang; Julie A Pavlin
Journal:  Emerg Infect Dis       Date:  2007-02       Impact factor: 6.883

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