Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19

Abstract Present hopes to conquer the Covid-19 epidemic are largely based on the expectation of a rapid availability of vaccines. However, once vaccine production starts, it will probably take time before there is enough vaccine for everyone, evoking the question how to distribute it best. While pre...

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Autores principales:	Jens Grauer, Hartmut Löwen, Benno Liebchen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3d09bf87651a416eb01f36f2f4bb5c75
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spelling	oai:doaj.org-article:3d09bf87651a416eb01f36f2f4bb5c752021-12-02T12:33:14ZStrategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-1910.1038/s41598-020-78447-32045-2322https://doaj.org/article/3d09bf87651a416eb01f36f2f4bb5c752020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78447-3https://doaj.org/toc/2045-2322Abstract Present hopes to conquer the Covid-19 epidemic are largely based on the expectation of a rapid availability of vaccines. However, once vaccine production starts, it will probably take time before there is enough vaccine for everyone, evoking the question how to distribute it best. While present vaccination guidelines largely focus on individual-based factors, i.e. on the question to whom vaccines should be provided first, e.g. to risk groups or to individuals with a strong social-mixing tendency, here we ask if a strategic spatiotemporal distribution of vaccines, e.g. to prioritize certain cities, can help to increase the overall survival rate of a population subject to an epidemic disease. To this end, we propose a strategy for the distribution of vaccines in time and space, which sequentially prioritizes regions with the most new cases of infection during a certain time frame and compare it with the standard practice of distributing vaccines demographically. Using a simple statistical model we find that, for a locally well-mixed population, the proposed strategy strongly reduces the number of deaths (by about a factor of two for basic reproduction numbers of $$R_0\sim 1.5-4$$ R 0 ∼ 1.5 - 4 and by about 35% for $$R_0\sim 1$$ R 0 ∼ 1 ). The proposed vaccine distribution strategy establishes the idea that prioritizing individuals not only regarding individual factors, such as their risk of spreading the disease, but also according to the region in which they live can help saving lives. The suggested vaccine distribution strategy can be tested in more detailed models in the future and might inspire discussions regarding the importance of spatiotemporal distribution rules for vaccination guidelines.Jens GrauerHartmut LöwenBenno LiebchenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jens Grauer Hartmut Löwen Benno Liebchen Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19
description	Abstract Present hopes to conquer the Covid-19 epidemic are largely based on the expectation of a rapid availability of vaccines. However, once vaccine production starts, it will probably take time before there is enough vaccine for everyone, evoking the question how to distribute it best. While present vaccination guidelines largely focus on individual-based factors, i.e. on the question to whom vaccines should be provided first, e.g. to risk groups or to individuals with a strong social-mixing tendency, here we ask if a strategic spatiotemporal distribution of vaccines, e.g. to prioritize certain cities, can help to increase the overall survival rate of a population subject to an epidemic disease. To this end, we propose a strategy for the distribution of vaccines in time and space, which sequentially prioritizes regions with the most new cases of infection during a certain time frame and compare it with the standard practice of distributing vaccines demographically. Using a simple statistical model we find that, for a locally well-mixed population, the proposed strategy strongly reduces the number of deaths (by about a factor of two for basic reproduction numbers of $$R_0\sim 1.5-4$$ R 0 ∼ 1.5 - 4 and by about 35% for $$R_0\sim 1$$ R 0 ∼ 1 ). The proposed vaccine distribution strategy establishes the idea that prioritizing individuals not only regarding individual factors, such as their risk of spreading the disease, but also according to the region in which they live can help saving lives. The suggested vaccine distribution strategy can be tested in more detailed models in the future and might inspire discussions regarding the importance of spatiotemporal distribution rules for vaccination guidelines.
format	article
author	Jens Grauer Hartmut Löwen Benno Liebchen
author_facet	Jens Grauer Hartmut Löwen Benno Liebchen
author_sort	Jens Grauer
title	Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19
title_short	Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19
title_full	Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19
title_fullStr	Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19
title_full_unstemmed	Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19
title_sort	strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like covid-19
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/3d09bf87651a416eb01f36f2f4bb5c75
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Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19

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