Literature DB >> 15958924

Multifaceted syndromic surveillance in a public health department using the early aberration reporting system.

Brian M Lawson1, Eugene C Fitzhugh, Stephanie P Hall, Chad Franklin, Lori C Hutwagner, G Matthew Seeman, Allen S Craig.   

Abstract

Local health departments concerned with early detection of potential terrorist threats are beginning to explore novel approaches to syndromic surveillance. Using the Early Aberration Reporting System (EARS) developed by the Centers for Disease Control and Prevention, a metropolitan health department in Tennessee and five community partners have agreed to exchange data in order to implement a multifaceted syndromic surveillance system for early detection of a biological attack. This article describes how we used EARS as the foundation for implementing a surveillance system that encompasses a rich variety of data sources. We address technical requirements for operating EARS, recommend staffing and training prerequisites, describe the involvement of our data partners, and provide details related to data transfer and analysis, review, and response protocol. Other health departments may find this information useful as a general model for implementing EARS-based syndromic surveillance systems in their own jurisdictions.

Entities:  

Mesh:

Year:  2005        PMID: 15958924     DOI: 10.1097/00124784-200507000-00003

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


  10 in total

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4.  Disease surveillance using a hidden Markov model.

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Review 5.  Data mining in the US using the Vaccine Adverse Event Reporting System.

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8.  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
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9.  Applying cusum-based methods for the detection of outbreaks of Ross River virus disease in Western Australia.

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10.  Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case.

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  10 in total

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