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

Author

Listed:
  • 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)

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.

Suggested Citation

  • I. Ghazal & A. Rachadi & H. Ez-Zahraouy, 2023. "Layered vaccine allocation for spatio-temporal vaccination of COVID-19," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-11, April.
  • Handle: RePEc:wsi:ijmpcx:v:34:y:2023:i:04:n:s0129183123500420
    DOI: 10.1142/S0129183123500420
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