Enhancing syndromic surveillance through autonomie health grids

Hina Arora, Ajay Vinze, Raghu Santanam, Peter Brittenham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Centers for Disease Control defines syndromic surveillance as, an investigational approach where health department staff, assisted by automated data acquisition and generation of statistical alerts, monitor disease indicators in real-time or near real-time to detect outbreaks of disease earlier than would otherwise be possible with traditional public health methods (CDC, 2004). While syndromic surveillance has traditionally been used in the context of detecting natural outbreaks, it is increasingly being used to develop systems to detect bioterrorism outbreaks. Timely response to a bioterrorism event requires accurate information exchange between clinicians and public health officials. This entails building highly complex surveillance systems that provide access to heterogeneous/distributed medical data, computational resources and collaborative services, for real-time decision making in a highly reliable and secure environment. In this paper we propose enhancing syndromic surveillance through grid and autonomie computing augmentations, and present our approach to a proof of concept modeling and simulation environment.

Original languageEnglish (US)
Title of host publicationAssociation for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale
Pages2091-2096
Number of pages6
Volume5
StatePublished - 2005
Event11th Americas Conference on Information Systems, AMCIS 2005 - Omaha, NE, United States
Duration: Aug 11 2005Aug 15 2005

Other

Other11th Americas Conference on Information Systems, AMCIS 2005
CountryUnited States
CityOmaha, NE
Period8/11/058/15/05

Fingerprint

Bioterrorism
Public health
surveillance
Health
Disease control
Disease
health
Data acquisition
public health
Decision making
data acquisition
information exchange
staff
decision making
simulation
event
resources
time

Keywords

  • Autonomie computing
  • Grid computing
  • Syndromic surveillance

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Library and Information Sciences

Cite this

Arora, H., Vinze, A., Santanam, R., & Brittenham, P. (2005). Enhancing syndromic surveillance through autonomie health grids. In Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale (Vol. 5, pp. 2091-2096)

Enhancing syndromic surveillance through autonomie health grids. / Arora, Hina; Vinze, Ajay; Santanam, Raghu; Brittenham, Peter.

Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale. Vol. 5 2005. p. 2091-2096.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Arora, H, Vinze, A, Santanam, R & Brittenham, P 2005, Enhancing syndromic surveillance through autonomie health grids. in Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale. vol. 5, pp. 2091-2096, 11th Americas Conference on Information Systems, AMCIS 2005, Omaha, NE, United States, 8/11/05.
Arora H, Vinze A, Santanam R, Brittenham P. Enhancing syndromic surveillance through autonomie health grids. In Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale. Vol. 5. 2005. p. 2091-2096
Arora, Hina ; Vinze, Ajay ; Santanam, Raghu ; Brittenham, Peter. / Enhancing syndromic surveillance through autonomie health grids. Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale. Vol. 5 2005. pp. 2091-2096
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