Building the vector-control collaborative strategy in Dengue Fever: Case surabaya, Kuala Lumpur, Bangkok

Wahjoe Tjatur Sesulihatien, Yasushi Kiyoki, Shiori Sasaki, Azis Safie, Subagyo Yotopranoto, Virach Sornlertlamvanich, Aran Hansuebai, Petchporn Chawakitchareon

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

Abstract

Dengue fever is a communicable disease that attacks more than 120 countries in the world during 50 years. Therefore, it is to make sense to say that collaboration among the countries, especially neighborhood countries, is one important key to combat the dengue. Currently, except a serological collaboration, collaboration in dengue is sporadic and temporal. This paper addresses the initiative to build vector-control strategy collaborative among Surabaya (Indonesia), Kuala Lumpur (Malaysia), and Bangkok (Thailand). Deriving the global policy from World Health Organization (WHO), we build the system that (1) extracting global feature from the local feature, (2) selecting the significant features, to determine ranking of importance of a feature, by weighting a feature, and (3) matching the pattern of data to the suitable strategy by measuring the similarity. We built the system from the real data of the Surabaya, Kuala Lumpur and Bangkok in 2012. We verified reliability of the system by comparing the data with the actual action in January 2012 The result shows that the system is system feasible to be implemented, however we still need more preparation to implement the system.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXVIII
PublisherIOS Press
Pages94-105
Number of pages12
Volume292
ISBN (Electronic)9781614997191
DOIs
Publication statusPublished - 2017

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume292
ISSN (Print)09226389

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Keywords

  • Bangkok
  • Collaborative
  • global policy
  • Kuala Lumpur
  • similarity
  • Surabaya
  • vector-control strategy

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Sesulihatien, W. T., Kiyoki, Y., Sasaki, S., Safie, A., Yotopranoto, S., Sornlertlamvanich, V., ... Chawakitchareon, P. (2017). Building the vector-control collaborative strategy in Dengue Fever: Case surabaya, Kuala Lumpur, Bangkok. In Information Modelling and Knowledge Bases XXVIII (Vol. 292, pp. 94-105). (Frontiers in Artificial Intelligence and Applications; Vol. 292). IOS Press. https://doi.org/10.3233/978-1-61499-720-7-94

Building the vector-control collaborative strategy in Dengue Fever : Case surabaya, Kuala Lumpur, Bangkok. / Sesulihatien, Wahjoe Tjatur; Kiyoki, Yasushi; Sasaki, Shiori; Safie, Azis; Yotopranoto, Subagyo; Sornlertlamvanich, Virach; Hansuebai, Aran; Chawakitchareon, Petchporn.

Information Modelling and Knowledge Bases XXVIII. Vol. 292 IOS Press, 2017. p. 94-105 (Frontiers in Artificial Intelligence and Applications; Vol. 292).

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

Sesulihatien, WT, Kiyoki, Y, Sasaki, S, Safie, A, Yotopranoto, S, Sornlertlamvanich, V, Hansuebai, A & Chawakitchareon, P 2017, Building the vector-control collaborative strategy in Dengue Fever: Case surabaya, Kuala Lumpur, Bangkok. in Information Modelling and Knowledge Bases XXVIII. vol. 292, Frontiers in Artificial Intelligence and Applications, vol. 292, IOS Press, pp. 94-105. https://doi.org/10.3233/978-1-61499-720-7-94
Sesulihatien WT, Kiyoki Y, Sasaki S, Safie A, Yotopranoto S, Sornlertlamvanich V et al. Building the vector-control collaborative strategy in Dengue Fever: Case surabaya, Kuala Lumpur, Bangkok. In Information Modelling and Knowledge Bases XXVIII. Vol. 292. IOS Press. 2017. p. 94-105. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-720-7-94
Sesulihatien, Wahjoe Tjatur ; Kiyoki, Yasushi ; Sasaki, Shiori ; Safie, Azis ; Yotopranoto, Subagyo ; Sornlertlamvanich, Virach ; Hansuebai, Aran ; Chawakitchareon, Petchporn. / Building the vector-control collaborative strategy in Dengue Fever : Case surabaya, Kuala Lumpur, Bangkok. Information Modelling and Knowledge Bases XXVIII. Vol. 292 IOS Press, 2017. pp. 94-105 (Frontiers in Artificial Intelligence and Applications).
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