Layered vaccine allocation for spatio-temporal vaccination of COVID-19

I. Ghazal, A. Rachadi and H. Ez-Zahraouy
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I. Ghazal: Laboratory of Condensed Matter and Interdisciplinary Sciences (LaMCScI), B.P. 1014, Faculty of sciences, Mohammed V University in Rabat, Morocco
A. Rachadi: Laboratory of Condensed Matter and Interdisciplinary Sciences (LaMCScI), B.P. 1014, Faculty of sciences, Mohammed V University in Rabat, Morocco
H. Ez-Zahraouy: Laboratory of Condensed Matter and Interdisciplinary Sciences (LaMCScI), B.P. 1014, Faculty of sciences, Mohammed V University in Rabat, Morocco

International Journal of Modern Physics C (IJMPC), 2023, vol. 34, issue 04, 1-11

Abstract: Optimal allocation of vaccine doses is a major challenge faced by the health authorities especially in the case of an ever-growing pandemic expansion and a limited supply availability. Based on a spatio-temporal compartmental virus propagation model applied to the case of SARS-CoV-2 virus, we investigate a layered vaccine allocation strategy for the subpopulations of a given country or a geographical region based on the prevalence of susceptible individuals as a prioritization metric. Our findings show that a relaxed layered allocation prioritization, where a maximum of regions benefit from vaccine doses is more effective in controlling the epidemic than a strict prioritization, focused only on the few most prioritized regions. These results are consistent among different vaccine rollout speeds for various limiting values of the priority list.

Keywords: Epidemic; COVID-19; epidemic control; layered allocation; limited supply; vaccination (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0129183123500420

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