A dengue location-contraction risk calculation method for analyzing disease-spread

Wahjoe T. Sesulihatien, Yasushi Kiyoki

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

1 Citation (Scopus)

Abstract

Dengue fever is the fastest spreading communicable disease in the world. The virus has been increasing its geographic reach, partly due to increased urbanization and partly due to climate change. From the viewpoint of human movement, population density the most suspected factor in spreading, but some results nowadays show that the relationship between population density and dengue fever is unclear. This paper presents a new approach in measuring human involvement by modelling contagious places. The proposed system includes (1) statistical analysis about correlations between contagious places and Dengue fever cases, (2) a multi-layer weighting method for determining the weight of each cell (3) a ranking and classification method for places' human-mingling, and (4) building a risk-map of contagious places as a control method in Dengue spreading. The result is new dimension to measure vulnerability of land use concerning with pattern of human moving. Our new approach is advantageous for effecting monitoring in change of public facilities, in comparison to the approach based on the population density, It is more useful in urban planning due to priority in evacuation, and control dengue based on places that attract people.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXVI
EditorsBernhard Thalheim, Hannu Jaakkola, Naofumi Yoshida, Yasushi Kiyoki
PublisherIOS Press
Pages396-407
Number of pages12
ISBN (Electronic)9781614994718
DOIs
Publication statusPublished - 2014 Jan 1
Event24th International Conference on Information Modelling and Knowledge Bases, EJC 2014 - Kiel, Germany
Duration: 2014 Jun 32014 Jun 6

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume272
ISSN (Print)0922-6389

Other

Other24th International Conference on Information Modelling and Knowledge Bases, EJC 2014
CountryGermany
CityKiel
Period14/6/314/6/6

Keywords

  • Dengue
  • contagious place
  • population density
  • risk control
  • weighting method

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Sesulihatien, W. T., & Kiyoki, Y. (2014). A dengue location-contraction risk calculation method for analyzing disease-spread. In B. Thalheim, H. Jaakkola, N. Yoshida, & Y. Kiyoki (Eds.), Information Modelling and Knowledge Bases XXVI (pp. 396-407). (Frontiers in Artificial Intelligence and Applications; Vol. 272). IOS Press. https://doi.org/10.3233/978-1-61499-472-5-396