SIRVD モデルによる COVID-19 ワクチン接種を考慮した日本国内の感染伝播シミュレーション

Translated title of the contribution: Spreading Infection Simulation in Japan Based on SIRVD Model Considering COVID-19 Vaccine

Yuto Omae, Yohei Kakimoto, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi

Research output: Contribution to journalArticlepeer-review

Abstract

As of Feb. 2021, COVID-19 is still spreading. To overcome this infectious disease, COVID-19 vaccines are being developed around the world. In Japan, inoculation of COVID-19 vaccines to people will be starting soon (as of Feb. 2021). However, desirable vaccination strategies are not clear. Therefore, we investigate the relationship between vaccination strategies and COVID-19 spreading using positive-case data in Japan. The method is SIRVD (Susceptible Infected Recovered Vaccination Death) model, which can represent vaccinated persons. Moreover, we discuss desirable vaccination strategies based on the results.

Translated title of the contributionSpreading Infection Simulation in Japan Based on SIRVD Model Considering COVID-19 Vaccine
Original languageJapanese
Pages (from-to)27-30
Number of pages4
JournalJournal of Japan Industrial Management Association
Volume73
Issue number1
DOIs
Publication statusPublished - 2022
Externally publishedYes

Fingerprint

Dive into the research topics of 'Spreading Infection Simulation in Japan Based on SIRVD Model Considering COVID-19 Vaccine'. Together they form a unique fingerprint.

Cite this