A multicriteria spatiotemporal system for influenza epidemic surveillance

Fatima-Zohra Younsi, Djamila Hamdadou, Salem Chakhar

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


Influenza has been a growing concern for the public health decision makers/policy makers. Indeed, they are in need of a real geo-making tool for monitoring and surveillance. The chapter aims to introduce a novel spatiotemporal decision system based on multicriteria ranking method, information geographic system (GIS), and SEIRSW system for public health. The later was designed, implemented, and validated in previous research for influenza risk assessment. The authors highlight the use of PROMETHEE II ranking method of multi-criteria decision analysis in GIS that incorporates various factors to monitor and identify potential high-risk areas of seasonal influenza and disease mapping. Factors related to the risk of seasonal influenza are obtained from simulation system and constitute the input values of PROMETHEE II ranking method for the 26 communes of the city of Oran, Algeria. The proposed system has demonstrated analytical capabilities in targeting high-risk spots and influenza surveillance monitoring system and it can help public health policy makers prioritize in their response goals and evaluate control strategies
Original languageEnglish
Title of host publicationTechnological Innovations in Knowledge Management and Decision Support
EditorsNilanjan Dey
PublisherIGI Global Publishing
Number of pages27
ISBN (Electronic)978-1522561651
ISBN (Print)978-1522561644
Publication statusPublished - Jul 2018


  • GIS-MCDA integration
  • Small World Network
  • Susceptible-Exposed-Infected- and Removed
  • Influenza epidemic


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