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Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19
The COVID-19 Vaccines Global Access (COVAX) is a World Health Organization (WHO) initiative that aims for an equitable access of COVID-19 vaccines. Despite potential heterogeneous infection levels across a country, countries receiving allotments of vaccines may follow WHO’s allocation guidelines and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904532/ https://www.ncbi.nlm.nih.gov/pubmed/36750592 http://dx.doi.org/10.1038/s41598-023-28697-8 |
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author | Castonguay, François M. Blackwood, Julie C. Howerton, Emily Shea, Katriona Sims, Charles Sanchirico, James N. |
author_facet | Castonguay, François M. Blackwood, Julie C. Howerton, Emily Shea, Katriona Sims, Charles Sanchirico, James N. |
author_sort | Castonguay, François M. |
collection | PubMed |
description | The COVID-19 Vaccines Global Access (COVAX) is a World Health Organization (WHO) initiative that aims for an equitable access of COVID-19 vaccines. Despite potential heterogeneous infection levels across a country, countries receiving allotments of vaccines may follow WHO’s allocation guidelines and distribute vaccines based on a jurisdictions’ relative population size. Utilizing economic—epidemiological modeling, we benchmark the performance of this pro rata allocation rule by comparing it to an optimal one that minimizes the economic damages and expenditures over time, including a penalty representing the social costs of deviating from the pro rata strategy. The pro rata rule performs better when the duration of naturally- and vaccine-acquired immunity is short, when there is population mixing, when the supply of vaccine is high, and when there is minimal heterogeneity in demographics. Despite behavioral and epidemiological uncertainty diminishing the performance of the optimal allocation, it generally outperforms the pro rata vaccine distribution rule. |
format | Online Article Text |
id | pubmed-9904532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99045322023-02-08 Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19 Castonguay, François M. Blackwood, Julie C. Howerton, Emily Shea, Katriona Sims, Charles Sanchirico, James N. Sci Rep Article The COVID-19 Vaccines Global Access (COVAX) is a World Health Organization (WHO) initiative that aims for an equitable access of COVID-19 vaccines. Despite potential heterogeneous infection levels across a country, countries receiving allotments of vaccines may follow WHO’s allocation guidelines and distribute vaccines based on a jurisdictions’ relative population size. Utilizing economic—epidemiological modeling, we benchmark the performance of this pro rata allocation rule by comparing it to an optimal one that minimizes the economic damages and expenditures over time, including a penalty representing the social costs of deviating from the pro rata strategy. The pro rata rule performs better when the duration of naturally- and vaccine-acquired immunity is short, when there is population mixing, when the supply of vaccine is high, and when there is minimal heterogeneity in demographics. Despite behavioral and epidemiological uncertainty diminishing the performance of the optimal allocation, it generally outperforms the pro rata vaccine distribution rule. Nature Publishing Group UK 2023-02-07 /pmc/articles/PMC9904532/ /pubmed/36750592 http://dx.doi.org/10.1038/s41598-023-28697-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Castonguay, François M. Blackwood, Julie C. Howerton, Emily Shea, Katriona Sims, Charles Sanchirico, James N. Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19 |
title | Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19 |
title_full | Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19 |
title_fullStr | Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19 |
title_full_unstemmed | Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19 |
title_short | Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19 |
title_sort | optimal spatial evaluation of a pro rata vaccine distribution rule for covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904532/ https://www.ncbi.nlm.nih.gov/pubmed/36750592 http://dx.doi.org/10.1038/s41598-023-28697-8 |
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