SIRVVD model-based verification of the effect of first and second doses of COVID-19/SARS-CoV-2 vaccination in Japan

DOI10.3934/mbe.2022047zbMath1489.92098OpenAlexW3217439546MaRDI QIDQ2130151

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

Publication date: 25 April 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022047

zbMATH Keywords

vaccinationsusceptible-infected-recovered modelCOVID-19SARS-CoV-2susceptible-infected-recovered-vaccination1-vaccination2-death model

Mathematics Subject Classification ID

Medical epidemiology (92C60)

Related Items (1)

A novel discrete-time COVID-19 epidemic model including the compartment of vaccinated individuals

Uses Software

• GitHub

Cites Work

• Using a partial differential equation with Google mobility data to predict COVID-19 in Arizona
• SIR model-based verification of effect of COVID-19 contact-confirming application (COCOA) on reducing infectors in Japan
• Extinction and persistence of a stochastic SIRV epidemic model with nonlinear incidence rate
• Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom

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