Literature DB >> 15714626

National Bioterrorism Syndromic Surveillance Demonstration Program.

W Katherine Yih1, B Caldwell, R Harmon, K Kleinman, R Lazarus, A Nelson, J Nordin, B Rehm, B Richter, D Ritzwoller, E Sherwood, R Platt.   

Abstract

The National Bioterrorism Syndromic Surveillance Demonstration Program identifies new cases of illness from electronic ambulatory patient records. Its goals are to use data from health plans and practice groups to detect localized outbreaks and to facilitate rapid public health follow-up. Data are extracted nightly on patient encounters occurring during the previous 24 hours. Visits or calls with diagnostic codes corresponding to syndromes of interest are counted; repeat encounters are excluded. Daily counts of syndromes by zip code are sent to a central data repository, where they are statistically analyzed for unusual clustering by using a model-adjusted SaTScan approach. The results and raw data are displayed on a restricted website. Patient-level information stays at the originating health-care organization unless required by public health authorities. If a cluster surpasses a threshold of statistical aberration chosen by the corresponding public health department, an electronic alert can be sent to that department. The health department might then call a clinical responder, who has electronic access to records of cases contributing to clusters. The system is flexible, allowing for changes in participating organizations, syndrome definitions, and alert thresholds. It is transparent to clinicians and has been accepted by the health-care organizations that provide the data. The system's data are usable by local and national health agencies. Its software is compatible with commonly used systems and software and is mostly open-source. Ongoing activities include evaluating the system's ability to detect naturally occurring outbreaks and simulated terrorism events, automating and testing alerts and response capability, and evaluating alternative data sources.

Entities:  

Mesh:

Year:  2004        PMID: 15714626

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


  14 in total

1.  Evaluating real-time syndromic surveillance signals from ambulatory care data in four states.

Authors:  W Katherine Yih; Swati Deshpande; Candace Fuller; Dawn Heisey-Grove; John Hsu; Benjamin A Kruskal; Martin Kulldorff; Michael Leach; James Nordin; Jessie Patton-Levine; Ella Puga; Edward Sherwood; Irene Shui; Richard Platt
Journal:  Public Health Rep       Date:  2010 Jan-Feb       Impact factor: 2.792

2.  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

3.  Electronic Support for Public Health: validated case finding and reporting for notifiable diseases using electronic medical data.

Authors:  Ross Lazarus; Michael Klompas; Francis X Campion; Scott J N McNabb; Xuanlin Hou; James Daniel; Gillian Haney; Alfred DeMaria; Leslie Lenert; Richard Platt
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

4.  Bioterrorism surveillance and privacy: intersection of HIPAA, the Common Rule, and public health law.

Authors:  James D Nordin; Sophie Kasimow; Mary Jeanne Levitt; Michael J Goodman
Journal:  Am J Public Health       Date:  2008-04-01       Impact factor: 9.308

5.  Timely detection of localized excess influenza activity in Northern California across patient care, prescription, and laboratory data.

Authors:  Sharon K Greene; Martin Kulldorff; Jie Huang; Richard J Brand; Kenneth P Kleinman; John Hsu; Richard Platt
Journal:  Stat Med       Date:  2011-02-28       Impact factor: 2.373

6.  Simulated anthrax attacks and syndromic surveillance.

Authors:  James D Nordin; Michael J Goodman; Martin Kulldorff; Debra P Ritzwoller; Allyson M Abrams; Ken Kleinman; Mary Jeanne Levitt; James Donahue; Richard Platt
Journal:  Emerg Infect Dis       Date:  2005-09       Impact factor: 6.883

7.  A secure protocol for protecting the identity of providers when disclosing data for disease surveillance.

Authors:  Khaled El Emam; Jun Hu; Jay Mercer; Liam Peyton; Murat Kantarcioglu; Bradley Malin; David Buckeridge; Saeed Samet; Craig Earle
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

8.  Evaluating detection of an inhalational anthrax outbreak.

Authors:  David L Buckeridge; Douglas K Owens; Paul Switzer; John Frank; Mark A Musen
Journal:  Emerg Infect Dis       Date:  2006-12       Impact factor: 6.883

9.  Probabilistic case detection for disease surveillance using data in electronic medical records.

Authors:  Fuchiang Tsui; Michael Wagner; Gregory Cooper; Jialan Que; Hendrik Harkema; John Dowling; Thomsun Sriburadej; Qi Li; Jeremy U Espino; Ronald Voorhees
Journal:  Online J Public Health Inform       Date:  2011-12-22

10.  Spatiotemporal analysis of invasive meningococcal disease, Germany.

Authors:  Johannes Elias; Dag Harmsen; Heike Claus; Wiebke Hellenbrand; Matthias Frosch; Ulrich Vogel
Journal:  Emerg Infect Dis       Date:  2006-11       Impact factor: 6.883

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.