Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19
type: Item
instance of: scholarly article
title: Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19
zbMATH Open document ID: 1470.92340
author: M. Vela-Pérez
author: M. R. Ferrández
author: A. B. Kubik
author: Angel Manuel Ramos
author: Benjamin Ivorra
published in: Communications in Nonlinear Science and Numerical Simulation
publication date: 2021-08-16T00:00:00Z
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 92C60
Mathematics Subject Classification ID: 92-10
zbMATH DE Number: 7382128
zbMATH Keywords: \(\theta\)-SIR type model
zbMATH Keywords: COVID-19 vaccines
zbMATH Keywords: SARS-CoV-2 variants
zbMATH Keywords: VOC 202012/01
zbMATH Keywords: 501.V2
zbMATH Keywords: effective reproduction number
describes a project that uses: Be-CoDiS
describes a project that uses: GitHub
MaRDI profile type: Publication
full work available at URL: j.cnsns.2021.105937
OpenAlex ID: W3176980150
cites work: Q2716352
cites work: Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
cites work: Q5118120
cites work: Be-CoDiS: a mathematical model to predict the risk of human diseases spread between countries -- validation and application to the 2014--2015 ebola virus disease epidemic
cites work: A simple but complex enough \(\theta\)-SIR type model to be used with COVID-19 real data. Application to the case of Italy
DOI: 10.1016/J.CNSNS.2021.105937
description: scientific article; zbMATH DE number 7382128