New directions in electronic disease surveillance: Detection of infectious diseases during the incubation period

Taxiarchis Botsis, Johan Gustav Bellika, Gunnar Hartvigsen

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

3 Scopus citations

Abstract

The main objective of this paper is to assess the development of electronic disease surveillance systems for detecting infections at the first stages of disease progression (incubation period). This is important not only for the general population but also for vulnerable population groups with special physical needs, defined in this paper as Sensitive Population Groups. Detecting an infection during the incubation period may be critical and could be accomplished by monitoring certain physiology indicators including blood glucose levels, as demonstrated in a recent diabetics' case study. White blood cell count is another indicator of infections that can be easily measured. The bottom-up approach can subsequently be applied for the detection of an outbreak threat. Dedicated electronic disease surveillance systems raise conceptual, organizational, architectural and technological issues that are also highlighted in this paper.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009
Pages176-183
Number of pages8
DOIs
StatePublished - Apr 10 2009
Externally publishedYes
EventInternational Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009 - Cancun, Mexico
Duration: Feb 1 2009Feb 7 2009

Publication series

NameProceedings - International Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009

Other

OtherInternational Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009
Country/TerritoryMexico
CityCancun
Period2/1/092/7/09

Keywords

  • Disease surveillance systems
  • Infectious diseases
  • Physiology indicators
  • Sensitive population groups

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Health Informatics
  • Health Information Management

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