Literature DB >> 12791776

Syndromic surveillance using minimum transfer of identifiable data: the example of the National Bioterrorism Syndromic Surveillance Demonstration Program.

Richard Platt1, Carmella Bocchino, Blake Caldwell, Robert Harmon, Ken Kleinman, Ross Lazarus, Andrew F Nelson, James D Nordin, Debra P Ritzwoller.   

Abstract

Several health plans and other organizations are collaborating with the Centers for Disease Control and Prevention to develop a syndromic surveillance system with national coverage that includes more than 20 million people. A principal design feature of this system is reliance on daily reporting of counts of individuals with syndromes of interest in specified geographic regions rather than reporting of individual encounter-level information. On request from public health agencies, health plans and telephone triage services provide additional information regarding individuals who are part of apparent clusters of illness. This reporting framework has several advantages, including less sharing of protected health information, less risk that confidential information will be distributed inappropriately, the prospect of better public acceptance, greater acceptance by health plans, and less effort and cost for both health plans and public health agencies. If successful, this system will allow any organization with appropriate data to contribute vital information to public health syndromic surveillance systems while preserving individuals' privacy to the greatest extent possible.

Entities:  

Mesh:

Year:  2003        PMID: 12791776      PMCID: PMC3456531          DOI: 10.1007/pl00022312

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


  3 in total

1.  Using nurse hot line calls for disease surveillance.

Authors:  J S Rodman; F Frost; W Jakubowski
Journal:  Emerg Infect Dis       Date:  1998 Apr-Jun       Impact factor: 6.883

2.  Using automated medical records for rapid identification of illness syndromes (syndromic surveillance): the example of lower respiratory infection.

Authors:  R Lazarus; K P Kleinman; I Dashevsky; A DeMaria; R Platt
Journal:  BMC Public Health       Date:  2001-10-22       Impact factor: 3.295

3.  Use of automated ambulatory-care encounter records for detection of acute illness clusters, including potential bioterrorism events.

Authors:  Ross Lazarus; Ken Kleinman; Inna Dashevsky; Courtney Adams; Patricia Kludt; Alfred DeMaria; Richard Platt
Journal:  Emerg Infect Dis       Date:  2002-08       Impact factor: 6.883

  3 in total
  17 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.  A model for expanded public health reporting in the context of HIPAA.

Authors:  Soumitra Sengupta; Neil S Calman; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

3.  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

4.  Privacy protection versus cluster detection in spatial epidemiology.

Authors:  Karen L Olson; Shaun J Grannis; Kenneth D Mandl
Journal:  Am J Public Health       Date:  2006-10-03       Impact factor: 9.308

Review 5.  Public health emergency preparedness and response communications with health care providers: a literature review.

Authors:  Debra Revere; Kailey Nelson; Hanne Thiede; Jeffrey Duchin; Andy Stergachis; Janet Baseman
Journal:  BMC Public Health       Date:  2011-05-18       Impact factor: 3.295

6.  Syndromic surveillance for influenzalike illness in ambulatory care network.

Authors:  Benjamin Miller; Heidi Kassenborg; William Dunsmuir; Jayne Griffith; Mansour Hadidi; James D Nordin; Richard Danila
Journal:  Emerg Infect Dis       Date:  2004-10       Impact factor: 6.883

7.  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

8.  Telephone triage service data for detection of influenza-like illness.

Authors:  W Katherine Yih; Kathryn S Teates; Allyson Abrams; Ken Kleinman; Martin Kulldorff; Robert Pinner; Robert Harmon; Stanley Wang; Richard Platt
Journal:  PLoS One       Date:  2009-04-17       Impact factor: 3.240

9.  Influence of spatial resolution on space-time disease cluster detection.

Authors:  Stephen G Jones; Martin Kulldorff
Journal:  PLoS One       Date:  2012-10-24       Impact factor: 3.240

10.  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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.