• DocumentCode
    2045721
  • Title

    Decision Support Conceptual Framework for Zoonosis Emerging System

  • Author

    Permanasari, Adhistya Erna ; Rambli, Dayang Rohaya Awang ; Dominic, P. Dhanapal Durai

  • Author_Institution
    Comput. & Inf. Sci. Dept., Univ. Teknonologi PETRONAS, Tronoh, Malaysia
  • Volume
    2
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    469
  • Lastpage
    473
  • Abstract
    Emerging zoonosis represents an increasing threat to animal and human health. Zoonosis is any infectious disease that is able to be transmitted from other animals, both wild and domestic, to humans. The increasing number of zoonotic diseases coupled with the frequency of occurrences, especially lately, has made the need to study and understand theses diseases a major concern among researchers from various disciplines. It is important to have a single system that is able to analyze the relationship between different diseases in emergence zoonosis. However, the development of such system presents a daunting and yet to be explored task. Many factors have been attributed but inadequate information has been identified as a major challenge. In this paper, a review on zoonosis aspects and previous research on zoonosis are presented. Based on this review, a framework for developing an emerging zoonosis system is proposed. Therefore, the initial findings of framework were also presented. The system is considered as a zoonosis risk-emergence based on similar pattern recognition of zoonosis domain across different zoonotic diseases. Potential challenges in developing an emerging zoonosis model based on quantitative approach to unify zoonosis knowledge from different diseases into a single system were highlighted.
  • Keywords
    decision support systems; diseases; medical computing; decision support; emerging zoonosis system; pattern recognition; zoonotic diseases; Animals; Application software; Artificial neural networks; Computer applications; Diseases; Frequency; Humans; Influenza; Information science; Pathogens; Artificial Neural Network (ANN); Salmonellosis; forecasting; zoonosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.240
  • Filename
    5445692