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

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 publicationFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Pages396-407
Number of pages12
Volume272
ISBN (Print)9781614994718
DOIs
Publication statusPublished - 2014
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)09226389

Other

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

Fingerprint

Urban planning
Viruses
Land use
Climate change
Statistical methods
Monitoring

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

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

A dengue location-contraction risk calculation method for analyzing disease-spread. / Sesulihatien, Wahjoe T.; Kiyoki, Yasushi.

Frontiers in Artificial Intelligence and Applications. Vol. 272 IOS Press, 2014. p. 396-407 (Frontiers in Artificial Intelligence and Applications; Vol. 272).

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

Sesulihatien, WT & Kiyoki, Y 2014, A dengue location-contraction risk calculation method for analyzing disease-spread. in Frontiers in Artificial Intelligence and Applications. vol. 272, Frontiers in Artificial Intelligence and Applications, vol. 272, IOS Press, pp. 396-407, 24th International Conference on Information Modelling and Knowledge Bases, EJC 2014, Kiel, Germany, 14/6/3. https://doi.org/10.3233/978-1-61499-472-5-396
Sesulihatien WT, Kiyoki Y. A dengue location-contraction risk calculation method for analyzing disease-spread. In Frontiers in Artificial Intelligence and Applications. Vol. 272. IOS Press. 2014. p. 396-407. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-472-5-396
Sesulihatien, Wahjoe T. ; Kiyoki, Yasushi. / A dengue location-contraction risk calculation method for analyzing disease-spread. Frontiers in Artificial Intelligence and Applications. Vol. 272 IOS Press, 2014. pp. 396-407 (Frontiers in Artificial Intelligence and Applications).
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