Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19

DOI10.1016/j.cnsns.2021.105937zbMath1470.92340OpenAlexW3176980150MaRDI QIDQ2045983

M. R. Ferrández, M. Vela-Pérez, A. B. Kubik, Angel Manuel Ramos, Benjamin Ivorra

Publication date: 16 August 2021

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2021.105937

zbMATH Keywords

effective reproduction number\(\theta\)-SIR type model501.V2COVID-19 vaccinesSARS-CoV-2 variantsVOC 202012/01

Mathematics Subject Classification ID

Epidemiology (92D30) Medical epidemiology (92C60) Mathematical modeling or simulation for problems pertaining to biology (92-10)

Related Items (10)

Modeling SARS-CoV-2 spread with dynamic isolation ⋮ An optimal control model to design strategies for reducing the spread of the Ebola virus disease ⋮ A population structure-sensitive mathematical model assessing the effects of vaccination during the third surge of COVID-19 in Italy ⋮ An analysis of contact tracing protocol in an over-dispersed SEIQR Covid-like disease ⋮ Disentangling the role of virus infectiousness and awareness-based human behavior during the early phase of the COVID-19 pandemic in the European Union ⋮ Unraveling the dynamics of the Omicron and Delta variants of the 2019 coronavirus in the presence of vaccination, mask usage, and antiviral treatment ⋮ A multi-objective approach to identify parameters of compartmental epidemiological models -- application to Ebola virus disease epidemics ⋮ Assessment of event-triggered policies of nonpharmaceutical interventions based on epidemiological indicators ⋮ Global stability for novel complicated SIR epidemic models with the nonlinear recovery rate and transfer from being infectious to being susceptible to analyze the transmission of COVID-19 ⋮ Global asymptotic stability, extinction and ergodic stationary distribution in a stochastic model for dual variants of SARS-CoV-2

Uses Software

• Be-CoDiS
• GitHub

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
• A simple but complex enough \(\theta\)-SIR type model to be used with COVID-19 real data. Application to the case of Italy
• Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
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• Unnamed Item

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