Parameter estimation in multi-compartment SIR model

被引：0

作者：

Saito, Masaya M. ^{[1
]}

Imoto, Seiya ^{[2
]}

Yamaguchi, Rui ^{[2
]}

Miyano, Satoru ^{[2
]}

Higuchi, Tomoyuki ^{[1
]}

机构：

[1] Inst Stat Math, Tachikawa, Tokyo 1900014, Japan

[2] Univ Tokyo, Inst Med Sci, Ctr Human Genome, Minato Ku, Tokyo 1088639, Japan

来源：

2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：5

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