Literature DB >> 12791783

The bioterrorism preparedness and response Early Aberration Reporting System (EARS).

Lori Hutwagner1, William Thompson, G Matthew Seeman, Tracee Treadwell.   

Abstract

Data from public health surveillance systems can provide meaningful measures of population risks for disease, disability, and death. Analysis and evaluation of these surveillance data help public health practitioners react to important health events in a timely manner both locally and nationally. Aberration detection methods allow the rapid assessment of changes in frequencies and rates of different health outcomes and the characterization of unusual trends or clusters. The Early Aberration Reporting System (EARS) of the Centers for Disease Control and Prevention allows the analysis of public health surveillance data using available aberration detection methods. The primary purpose of EARS is to provide national, state, and local health departments with several alternative aberration detection methods. EARS helps assist local and state health officials to focus limited resources on appropriate activities during epidemiological investigations of important public health events. Finally, EARS allows end users to select validated aberration detection methods and modify sensitivity and specificity thresholds to values considered to be of public health importance by local and state health departments.

Entities:  

Mesh:

Year:  2003        PMID: 12791783      PMCID: PMC3456557          DOI: 10.1007/pl00022319

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  10 in total

1.  Automated outbreak detection: a quantitative retrospective analysis.

Authors:  L Stern; D Lightfoot
Journal:  Epidemiol Infect       Date:  1999-02       Impact factor: 2.451

2.  Syndromic surveillance for bioterrorism following the attacks on the World Trade Center--New York City, 2001.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2002-09-11       Impact factor: 17.586

3.  The surveillance of communicable diseases of national importance.

Authors:  A D LANGMUIR
Journal:  N Engl J Med       Date:  1963-01-24       Impact factor: 91.245

4.  A method for timely assessment of influenza-associated mortality in the United States.

Authors:  L Simonsen; M J Clarke; D F Stroup; G D Williamson; N H Arden; N J Cox
Journal:  Epidemiology       Date:  1997-07       Impact factor: 4.822

5.  Update: graphic method for presentation of notifiable disease data--United States, 1990.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1991-02-22       Impact factor: 17.586

6.  Detection of aberrations in the occurrence of notifiable diseases surveillance data.

Authors:  D F Stroup; G D Williamson; J L Herndon; J M Karon
Journal:  Stat Med       Date:  1989-03       Impact factor: 2.373

Review 7.  Public health surveillance in the United States.

Authors:  S B Thacker; R L Berkelman
Journal:  Epidemiol Rev       Date:  1988       Impact factor: 6.222

8.  Proposed changes in format for presentation of notifiable disease report data.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1989-12-01       Impact factor: 17.586

9.  The science of public health surveillance.

Authors:  S B Thacker; R L Berkelman; D F Stroup
Journal:  J Public Health Policy       Date:  1989       Impact factor: 2.222

10.  Using laboratory-based surveillance data for prevention: an algorithm for detecting Salmonella outbreaks.

Authors:  L C Hutwagner; E K Maloney; N H Bean; L Slutsker; S M Martin
Journal:  Emerg Infect Dis       Date:  1997 Jul-Sep       Impact factor: 6.883

  10 in total
  77 in total

1.  Syndromic surveillance of gastrointestinal illness using pharmacy over-the-counter sales. A retrospective study of waterborne outbreaks in Saskatchewan and Ontario.

Authors:  Victoria L Edge; Frank Pollari; Gillian Lim; Jeff Aramini; Paul Sockett; S Wayne Martin; Jeff Wilson; Andrea Ellis
Journal:  Can J Public Health       Date:  2004 Nov-Dec

2.  Public health and terrorism preparedness: cross-border issues.

Authors:  Debra Olson; Aggie Leitheiser; Christopher Atchison; Susan Larson; Cassandra Homzik
Journal:  Public Health Rep       Date:  2005       Impact factor: 2.792

3.  An open source environment for the statistical evaluation of outbreak detection methods.

Authors:  Thomas Lumley; Krisztian Sebestyen; William B Lober; Ian Painter
Journal:  AMIA Annu Symp Proc       Date:  2005

4.  Documenting alerts within a Web-based early event detection system.

Authors:  Amy Ising; Meichun Li; Anna Waller
Journal:  AMIA Annu Symp Proc       Date:  2006

5.  A multi-data source surveillance system to detect a bioterrorism attack during the G8 Summit in Scotland.

Authors:  N Meyer; J McMenamin; C Robertson; M Donaghy; G Allardice; D Cooper
Journal:  Epidemiol Infect       Date:  2007-08-03       Impact factor: 2.451

6.  A susceptible-infected model of early detection of respiratory infection outbreaks on a background of influenza.

Authors:  Mojdeh Mohtashemi; Peter Szolovits; James Dunyak; Kenneth D Mandl
Journal:  J Theor Biol       Date:  2006-03-23       Impact factor: 2.691

7.  Using encounters versus episodes in syndromic surveillance.

Authors:  I Jung; M Kulldorff; K P Kleinman; W K Yih; R Platt
Journal:  J Public Health (Oxf)       Date:  2009-05-13       Impact factor: 2.341

8.  A nationwide web-based automated system for outbreak early detection and rapid response in China.

Authors:  Weizhong Yang; Zhongjie Li; Yajia Lan; Jinfeng Wang; Jiaqi Ma; Lianmei Jin; Qiao Sun; Wei Lv; Shengjie Lai; Yilan Liao; Wenbiao Hu
Journal:  Western Pac Surveill Response J       Date:  2011-03-08

9.  International society for disease surveillance conference 2011: building the future of public health surveillance.

Authors:  Daniel B Neill; Karl A Soetebier
Journal:  Emerg Health Threats J       Date:  2011-12-06

10.  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

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