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Distribution equality as an optimal epidemic mitigation strategy

Upon the development of a therapeutic, a successful response to a global pandemic relies on efficient worldwide distribution, a process constrained by our global shipping network. Most existing strategies seek to maximize the outflow of the therapeutics, hence optimizing for rapid dissemination. Her...

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Autores principales: Hacohen, Adar, Cohen, Reuven, Efroni, Sol, Bachelet, Ido, Barzel, Baruch
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210068/
https://www.ncbi.nlm.nih.gov/pubmed/35729241
http://dx.doi.org/10.1038/s41598-022-12261-x
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author Hacohen, Adar
Cohen, Reuven
Efroni, Sol
Bachelet, Ido
Barzel, Baruch
author_facet Hacohen, Adar
Cohen, Reuven
Efroni, Sol
Bachelet, Ido
Barzel, Baruch
author_sort Hacohen, Adar
collection PubMed
description Upon the development of a therapeutic, a successful response to a global pandemic relies on efficient worldwide distribution, a process constrained by our global shipping network. Most existing strategies seek to maximize the outflow of the therapeutics, hence optimizing for rapid dissemination. Here we find that this intuitive approach is, in fact, counterproductive. The reason is that by focusing strictly on the quantity of disseminated therapeutics, these strategies disregard the way in which this quantity distributes across destinations. Most crucially—they overlook the interplay of the therapeutic spreading patterns with those of the pathogens. This results in a discrepancy between supply and demand, that prohibits efficient mitigation even under optimal conditions of superfluous flow. To solve this, we design a dissemination strategy that naturally follows the predicted spreading patterns of the pathogens, optimizing not just for supply volume, but also for its congruency with the anticipated demand. Specifically, we show that epidemics spread relatively uniformly across all destinations, prompting us to introduce an equality constraint into our dissemination that prioritizes supply homogeneity. This strategy may, at times, slow down the supply rate in certain locations, however, thanks to its egalitarian nature, which mimics the flow of the pathogens, it provides a dramatic leap in overall mitigation efficiency, potentially saving more lives with orders of magnitude less resources.
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spelling pubmed-92100682022-06-21 Distribution equality as an optimal epidemic mitigation strategy Hacohen, Adar Cohen, Reuven Efroni, Sol Bachelet, Ido Barzel, Baruch Sci Rep Article Upon the development of a therapeutic, a successful response to a global pandemic relies on efficient worldwide distribution, a process constrained by our global shipping network. Most existing strategies seek to maximize the outflow of the therapeutics, hence optimizing for rapid dissemination. Here we find that this intuitive approach is, in fact, counterproductive. The reason is that by focusing strictly on the quantity of disseminated therapeutics, these strategies disregard the way in which this quantity distributes across destinations. Most crucially—they overlook the interplay of the therapeutic spreading patterns with those of the pathogens. This results in a discrepancy between supply and demand, that prohibits efficient mitigation even under optimal conditions of superfluous flow. To solve this, we design a dissemination strategy that naturally follows the predicted spreading patterns of the pathogens, optimizing not just for supply volume, but also for its congruency with the anticipated demand. Specifically, we show that epidemics spread relatively uniformly across all destinations, prompting us to introduce an equality constraint into our dissemination that prioritizes supply homogeneity. This strategy may, at times, slow down the supply rate in certain locations, however, thanks to its egalitarian nature, which mimics the flow of the pathogens, it provides a dramatic leap in overall mitigation efficiency, potentially saving more lives with orders of magnitude less resources. Nature Publishing Group UK 2022-06-21 /pmc/articles/PMC9210068/ /pubmed/35729241 http://dx.doi.org/10.1038/s41598-022-12261-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Hacohen, Adar
Cohen, Reuven
Efroni, Sol
Bachelet, Ido
Barzel, Baruch
Distribution equality as an optimal epidemic mitigation strategy
title Distribution equality as an optimal epidemic mitigation strategy
title_full Distribution equality as an optimal epidemic mitigation strategy
title_fullStr Distribution equality as an optimal epidemic mitigation strategy
title_full_unstemmed Distribution equality as an optimal epidemic mitigation strategy
title_short Distribution equality as an optimal epidemic mitigation strategy
title_sort distribution equality as an optimal epidemic mitigation strategy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210068/
https://www.ncbi.nlm.nih.gov/pubmed/35729241
http://dx.doi.org/10.1038/s41598-022-12261-x
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