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

3 Citations (Scopus)


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
EditorsBernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida
PublisherIOS Press
Number of pages12
ISBN (Electronic)9781614997191
Publication statusPublished - 2017

Publication series

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


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

ASJC Scopus subject areas

  • Artificial Intelligence


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