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プロジェクト情報(概要) / Project information (abstract)

基本情報 / Basic Information

研究題目
Research Title
Epidemiological simulation system for population movement suggestion with PFlow data importing.
状態
Status
実施中
Started
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
Shih-Chieh WANG / RIKEN Advanced Institute for Computational Science(RIKEN AICS)
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
Shih-Chieh WANG / RIKEN Advanced Institute for Computational Science(RIKEN AICS)
受入CSIS教員
CSIS reception staff
藤原 直哉 / -
Naoya FUJIWARA / -
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 - 2018-03-31

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
Shih-Chieh WANG RIKEN Advanced Institute for Computational Science(RIKEN AICS)
伊藤 伸泰 東京大学大学院工学系研究科
Nobuyasu Ito Graduate School of Engineering, The University of Tokyo

利用データセット / Datasets used

申請中のデータセットは表示されません。
Pending datasets are not shown.

2008年東京都市圏 人の流れデータセット
People Flow 2008 Tokyo Metropolitan Area
2000年京阪神都市圏 人の流れデータセット
People Flow 2000 Kyoto/Osaka/Kobe Metropolitan Area
【空間配分版】2008年東京都市圏 人の流れデータセット
People Flow 2008 Tokyo Metropolitan Area (Spatially Reallocated)
【空間配分版】2000年京阪神都市圏 人の流れデータセット
People Flow 2000 Kyoto/Osaka/Kobe Metropolitan Area(Spatially reallocated)

研究成果 / Publications

研究成果は存在しません。
No Publication.

報告書 / Annual reports

報告書は存在しません。
No annual report.