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Summary & Details

COVID-19 Pandemic・Big Data・Mathematical Model

新型コロナウイルス感染症・ビッグデータ・数理モデル

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20244133

Paper/Info type: Journal of Society of Automotive Engineers of Japan

Vol.78 No.2

Pages: 98-104(Total 6 p)

Date of publication: Feb 2024

Publisher: JSAE

Language: Japanese

Detailed Information

Category(J)	ホットトピックス Translation
Category(E)	Hot Topics
Author(J)	1) 土谷隆
Author(E)	1) Takashi Tsuchiya
Affiliation(J)	1) 政策研究大学院大学
Abstract(J)	新型コロナウイルス感染症の大流行が始まってから4年近くが過ぎた。本稿ではわが国での経緯を振り返り、本感染症の潜伏期間や世代期間について、伝統的な疫学とは異なる「ビッグデータ」の視点から議論する。また、簡単な数理モデルとビッグデータを結びつけ、基本的パラメータの推計を行った結果を紹介する。 Translation
Abstract(E)	It has passed nearly four years since dramatic outbreak of COVID-19. This is the first pandemic after globalization, drastic biotechnology advancement, and development of the internet as a fundamental infrastructure. In this article, we review the COVID-19 pandemic in Japan and make a few observations on incurbation period and generation period of COVID-19 based on bigdata. We introduce a simple mathematical model on spread of the disease, together with estimation of a few crucial parameters.

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