プロジェクト情報（概要） / Project information (abstract)
基本情報 / Basic Informations
- 研究題目
Research Title Epidemiological simulation system for population movement suggestion with PFlow data importing.
- 状態
Status -
完了
Completed projects
- 研究番号
Research Number - 728
- 研究代表者
PI - 王 世傑 / 国立研究開発法人理化学研究所 計算科学研究機構
- 事務担当者
Secretary - 王 世傑 / 国立研究開発法人理化学研究所 計算科学研究機構
- 受入CSIS教員
CSIS reception staff Toshikazu SETO
Toshikazu SETO
- 研究内容
Abstract From our three foundlings in our epidemic simulation study, this collaboration project requires population movement data in PFlow project to import in. Our goal of epidemic project is to construct a real-time population moving policy suggesting system for purpose of epidemic migrations. In this project, we consider epidemic-mobility cross-heterogeneities. The core part has been established as an agent-based simulator with the following results and founding:(A) Under the position-averaged risk conservation, some specific places rise the risk of infection, the reason is not only because of the geography position, but also because of the coherent between commuting time and time-to-maximal-infection. (B), In the existed sir-agent model, the infection risk will be under estimation because of the stochastic infection in limited-realization-number simulations.(C),The stochastic mobility rises the infection risk.The infection risk threshold reduces with a increasing mobility in the power of 1/2.
Result (A) indicates the accurate epidemic parameters and commuting data for an epidemic simulator are urgent for this period of developing simulator. The integrated supercomputing power and the data-mining techniques are ready for our next step, they will let us to overcome the difficulties of the non-accessibility of the priori epidemic data and of the individual-level commuting data. The new established epidemic agent model, pathogenic dynamic model (PD) building to solve the problem in result (B) is our advantage. The deterministic model makes the higher computing performance and the accuracy simulation outcome then SIR-agent model.
- 研究期間
Research Period - 2016-12-23 - 2019-03-31
変更申請
変更のために新しい申請を保存します。
This will save a new application on the system for a modification.
研究者 / Researchers
申請中の研究者は表示されません。 / Pending researchers are not shown.
王 世傑 / 国立研究開発法人理化学研究所 計算科学研究機構
伊藤 伸泰 / 東京大学大学院工学系研究科
研究成果 / Achievement
年次報告一覧 / Annual reports 必須
年次報告の内容はメンバーのみ表示されます。