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
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;
Conference_Titel :
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location :
Salamanca
