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El Alami Laaroussi, Adil; El Bhih, Amine; Rachik, Mostafa

doi:10.1016/j.padiff.2024.100684

Partial Differential Equations in Applied Mathematics

2024

DOI: 10.1016/j.padiff.2024.100684

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Optimal vaccination and treatment policies with constrained inequalities to study limited vaccination resources for a multistrain reaction–diffusionSEIRmodel of COVID-19

Adil El Alami Laaroussi,

Amine El Bhih,

Mostafa Rachik

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A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine

Cherniha,

Dutka,

Davydovych

2024

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A space distributed model based on reaction–diffusion equations, which was previously developed, is generalized and applied to COVID-19 pandemic modeling in Ukraine. Theoretical analysis and a wide range of numerical simulations demonstrate that the model adequately describes the second wave of the COVID-19 pandemic in Ukraine. In particular, comparison of the numerical results obtained with the official data shows that the model produces very plausible total numbers of the COVID-19 cases and deaths. An extensive analysis of the impact of the parameters arising from the model is presented as well. It is shown that a well-founded choice of parameters plays a crucial role in the applicability of the model.

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A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine

Cherniha,

Dutka,

Davydovych

2024

Symmetry

View full text Add to dashboard Cite

show abstract

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Optimal vaccination and treatment policies with constrained inequalities to study limited vaccination resources for a multistrain reaction–diffusionSEIRmodel of COVID-19

Cited by 1 publication

References 53 publications

A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine

A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine

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