Literature DB >> 19704312

A survey of usage protocols of syndromic surveillance systems by state public health departments in the United States.

Lori Uscher-Pines1, Corey L Farrell, Jacqueline Cattani, Yu-Hsiang Hsieh, Michael D Moskal, Steven M Babin, Charlotte A Gaydos, Richard E Rothman.   

Abstract

OBJECTIVE: To broadly describe current syndromic surveillance systems in use throughout the United States and to provide basic descriptive information on responses to syndromic system signals.
METHODS: Cross-sectional survey (telephone and e-mail) of state epidemiologists in all 50 states and the District of Columbia.
RESULTS: Forty-one states participated in the survey for a response rate of 80 percent. Thirty-three states (80%) had at least one syndromic surveillance system in addition to BioSense operating within the state. Every state with an urban area at highest risk of a terrorist attack reported monitoring syndromic surveillance data, and a state's overall preparedness level was not related to the presence (or lack) of operational syndromic surveillance systems. The most common syndromic surveillance systems included BioSense (n = 20, 61%) and RODS (n = 13, 39%). Seventy-six percent of states with syndromic surveillance initiated investigations at the state level, 64 percent at the county level, and 45 percent at both the state and county levels.
CONCLUSIONS: The majority of states reported using syndromic surveillance systems, with greatest penetration in those at highest risk for a terrorist attack. Most states used multiple systems and had varied methods (central and local) of responding to alerts, indicating the need for detailed response protocols.

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Year:  2009        PMID: 19704312     DOI: 10.1097/PHH.0b013e3181a5d36b

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  8 in total

1.  Integration of syndromic surveillance data into public health practice at state and local levels in North Carolina.

Authors:  Erika Samoff; Anna Waller; Aaron Fleischauer; Amy Ising; Meredith K Davis; Mike Park; Stephanie W Haas; Lauren DiBiase; Pia D M MacDonald
Journal:  Public Health Rep       Date:  2012 May-Jun       Impact factor: 2.792

2.  Assessing the relative timeliness of Ontario's syndromic surveillance systems for early detection of the 2009 influenza H1N1 pandemic waves.

Authors:  Anna Chu; Rachel Savage; Michael Whelan; Laura C Rosella; Natasha S Crowcroft; Don Willison; Anne-Luise Winter; Richard Davies; Ian Gemmill; Pia K Mucchal; Ian Johnson
Journal:  Can J Public Health       Date:  2013-05-14

3.  Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.

Authors:  Yunzhou Fan; Mei Yang; Hongbo Jiang; Ying Wang; Wenwen Yang; Zhixia Zhang; Weirong Yan; Vinod K Diwan; Biao Xu; Hengjin Dong; Lars Palm; Li Liu; Shaofa Nie
Journal:  PLoS One       Date:  2014-09-24       Impact factor: 3.240

4.  Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case.

Authors:  Zachary Faigen; Lana Deyneka; Amy Ising; Daniel Neill; Mike Conway; Geoffrey Fairchild; Julia Gunn; David Swenson; Ian Painter; Lauren Johnson; Chris Kiley; Laura Streichert; Howard Burkom
Journal:  Online J Public Health Inform       Date:  2015-12-30

5.  Evaluation of the ability of standardized supports to improve public health response to syndromic surveillance for respiratory diseases in Canada.

Authors:  Laura A Rivera; Ye Li; Rachel D Savage; Natasha S Crowcroft; Shelly Bolotin; Laura C Rosella; Wendy Lou; Jessica Hopkins; Ian Gemmill; Ian Johnson
Journal:  BMC Public Health       Date:  2017-02-15       Impact factor: 3.295

6.  Perceived usefulness of syndromic surveillance in Ontario during the H1N1 pandemic.

Authors:  Rachel Savage; Anna Chu; Laura C Rosella; Natasha S Crowcroft; Monali Varia; Michelle E Policarpio; Norman G Vinson; Anne-Luise Winter; Karen Hay; Richard F Davies; Ian Gemmill; Don Willison; Ian Johnson
Journal:  J Public Health (Oxf)       Date:  2011-12-22       Impact factor: 2.341

7.  The use of syndromic surveillance for decision-making during the H1N1 pandemic: a qualitative study.

Authors:  Anna Chu; Rachel Savage; Don Willison; Natasha S Crowcroft; Laura C Rosella; Doug Sider; Jason Garay; Ian Gemmill; Anne-Luise Winter; Richard F Davies; Ian Johnson
Journal:  BMC Public Health       Date:  2012-10-30       Impact factor: 3.295

8.  Real-time monitoring of school absenteeism to enhance disease surveillance: a pilot study of a mobile electronic reporting system.

Authors:  Saranath Lawpoolsri; Amnat Khamsiriwatchara; Wongwat Liulark; Komchaluch Taweeseneepitch; Aumnuyphan Sangvichean; Wiraporn Thongprarong; Jaranit Kaewkungwal; Pratap Singhasivanon
Journal:  JMIR Mhealth Uhealth       Date:  2014-05-12       Impact factor: 4.773

  8 in total

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