Parameter estimation in multi-compartment SIR model
- Resource Type
- Conference
- Authors
- Saito, Masaya M.; Imoto, Seiya; Yamaguchi, Rui; Miyano, Satoru; Higuchi, Tomoyuki
- Source
- 17th International Conference on Information Fusion (FUSION) Information Fusion (FUSION), 2014 17th International Conference on. :1-5 Jul, 2014
- Subject
- Aerospace
Computing and Processing
General Topics for Engineers
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Mathematical model
Data models
Stochastic processes
Vaccines
Diseases
Kalman filters
Market research
- Language
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.