Optimal allocation strategies for prioritized geographical vaccination for Covid-19

While SARS-CoV-2 vaccine distribution campaigns are underway across the world communities, these efforts face the challenge of effective distribution of limited supplies. We wonder whether suitable spatial allocation strategies might significantly improve a campaignfls efficacy in averting damaging...

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Bibliographic Details
Published inPhysica A Vol. 607; p. 128166
Main Authors Ghazal, Ikram, Rachadi, Abdeljalil, Ez-Zahraouy, Hamid
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.12.2022
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Summary:While SARS-CoV-2 vaccine distribution campaigns are underway across the world communities, these efforts face the challenge of effective distribution of limited supplies. We wonder whether suitable spatial allocation strategies might significantly improve a campaignfls efficacy in averting damaging outcomes. In the context of a limited and intermittent COVID-19 supply, we investigate spatial prioritization strategies based on six metrics using the SLIR compartmental epidemic model. We found that the strategy based on the prevalence of susceptible individuals is optimal especially in early interventions and for intermediate values of vaccination rate. It minimizes the cumulative incidence and consequently averts most infections. Our results suggest also that a better performance is obtained if the single batch allocation is supplemented with one or more updating of the priority list. Moreover, the splitting of supply in two or more batches may significantly improve the optimality of the operation. •Optimal geographical allocation strategies for COVID-19 vaccine prioritization under limited supply assumptions are studied.•This study is based on the modeling of the epidemic using the compartmental model SLIR.•Among six strategies used in this work, the one based on the prevalence of susceptible individuals, shows good performance in reducing the cumulative incidence and mitigating the epidemic as well.•Different supply scenarios are investigated. The best supply scenarios are those based on one or more update of the priority list to account for the changing epidemic situation.
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ISSN:0378-4371
1873-2119
0378-4371
DOI:10.1016/j.physa.2022.128166