• DocumentCode
    263305
  • Title

    Parameter estimation in multi-compartment SIR model

  • Author

    Saito, Masaya M. ; Imoto, Seiya ; Yamaguchi, Ryo ; Miyano, S. ; Higuchi, Tatsuro

  • Author_Institution
    Inst. of Stat. Math., Tachikawa, Japan
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Sentinel observations of influenza epidemic in each prefecture indicates basically unimodal trend but with irregular shocks, which are synchronous among prefectures. In this study, we have confirmed that the the strength of inter-regional connection and local probabilistic fluctuation are separately identifiable in a multi-compartment SIR model.
  • Keywords
    epidemics; parameter estimation; probability; influenza epidemic; interregional connection; local probabilistic fluctuation; multicompartment SIR model; parameter estimation; sentinel observations; unimodal trend; Data models; Diseases; Kalman filters; Market research; Mathematical model; Stochastic processes; Vaccines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6916269
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=263305