Social heterogeneity and the COVID-19 lockdown in a multi-group SEIR model

DOI10.1515/cmb-2020-0115zbMath1472.92209OpenAlexW3172683344MaRDI QIDQ2236663

Jean Dolbeault, Gabriel Turinici

Publication date: 26 October 2021

Published in: Computational and Mathematical Biophysics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/cmb-2020-0115

zbMATH Keywords

disease controlequilibrium solutionsbasic reproduction ratioepidemic modelsheterogeneous populations

Mathematics Subject Classification ID

Epidemiology (92D30)

Related Items (3)

Modeling, analysis and physics informed neural network approaches for studying the dynamics of COVID-19 involving human-human and human-pathogen interaction ⋮ On the optimal control of kinetic epidemic models with uncertain social features ⋮ Epidemic modeling with heterogeneity and social diffusion

Cites Work

• Un modèle mathématique des débuts de l’épidémie de coronavirus en France
• Heterogeneous social interactions and the COVID-19 lockdown outcome in a multi-group SEIR model

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