SIR model-based verification of effect of COVID-19 contact-confirming application (COCOA) on reducing infectors in Japan
type: Item
instance of: scholarly article
title: SIR model-based verification of effect of COVID-19 contact-confirming application (COCOA) on reducing infectors in Japan
zbMATH Open document ID: 1501.92182
author: Yuto Omae
author: Yohei Kakimoto
author: Jun Toyotani
author: Kazuyuki Hara
author: Yasuhiro Gon
author: Hirotaka Takahashi
published in: Mathematical Biosciences and Engineering
publication date: 2022-11-02T00:00:00Z
Mathematics Subject Classification ID: 92D30
zbMATH DE Number: 7610942
zbMATH Keywords: contact tracing app
zbMATH Keywords: COCOA
zbMATH Keywords: COVID-19
zbMATH Keywords: SARS-CoV-2
zbMATH Keywords: SIR model
zbMATH Keywords: simulation in Japan
MaRDI profile type: Publication
OpenAlex ID: W3189933693
cites work: Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom
cites work: Mathematical modeling and analysis of COVID-19 pandemic in Nigeria
cites work: Using a partial differential equation with Google mobility data to predict COVID-19 in Arizona
cites work: Confinement strategies in a simple SIR model
DOI: 10.3934/MBE.2021323
describes a project that uses: Python
description: scientific article; zbMATH DE number 7610942