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Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics
Background: The start of 2021 was marked by the initiation of a global vaccination campaign against the novel coronavirus SARS-CoV-2. Formulating an optimal distribution strategy under social and economic constraints is challenging. Optimal distribution is additionally constrained by the potential e...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406440/ https://www.ncbi.nlm.nih.gov/pubmed/34504684 http://dx.doi.org/10.12688/f1000research.52341.2 |
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author | Rochman, Nash Wolf, Yuri I Koonin, Eugene V |
author_facet | Rochman, Nash Wolf, Yuri I Koonin, Eugene V |
author_sort | Rochman, Nash |
collection | PubMed |
description | Background: The start of 2021 was marked by the initiation of a global vaccination campaign against the novel coronavirus SARS-CoV-2. Formulating an optimal distribution strategy under social and economic constraints is challenging. Optimal distribution is additionally constrained by the potential emergence of vaccine resistance. Analogous to chronic low-dose antibiotic exposure, recently inoculated individuals who are not yet immune play an outsized role in the emergence of resistance. Classical epidemiological modelling is well suited to explore how the behavior of the inoculated population impacts the total number of infections over the entirety of an epidemic. Methods: A deterministic model of epidemic evolution is analyzed, with seven compartments defined by their relationship to the emergence of vaccine-resistant mutants and representing three susceptible populations, three infected populations, and one recovered population. This minimally computationally intensive design enables simulation of epidemics across a broad parameter space. The results are used to identify conditions minimizing the cumulative number of infections. Results: When an escape variant is only modestly less infectious than the originating strain within a naïve population, the cumulative number of infections does not monotonically decrease with the rate of vaccine distribution. Analysis of the model also demonstrates that inoculated individuals play a major role in the mitigation or exacerbation of vaccine-resistant outbreaks. Modulating the rate of host–host contact for the inoculated population by less than an order of magnitude can alter the cumulative number of infections by more than 20%. Conclusions: Mathematical modeling shows that limiting post-vaccination contacts can perceptibly affect the course of an epidemic. The consideration of limitations on post-vaccination contacts remains relevant for the entire duration of any vaccination campaign including the current status of SARS-CoV-2 vaccination. |
format | Online Article Text |
id | pubmed-8406440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-84064402021-09-08 Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics Rochman, Nash Wolf, Yuri I Koonin, Eugene V F1000Res Research Article Background: The start of 2021 was marked by the initiation of a global vaccination campaign against the novel coronavirus SARS-CoV-2. Formulating an optimal distribution strategy under social and economic constraints is challenging. Optimal distribution is additionally constrained by the potential emergence of vaccine resistance. Analogous to chronic low-dose antibiotic exposure, recently inoculated individuals who are not yet immune play an outsized role in the emergence of resistance. Classical epidemiological modelling is well suited to explore how the behavior of the inoculated population impacts the total number of infections over the entirety of an epidemic. Methods: A deterministic model of epidemic evolution is analyzed, with seven compartments defined by their relationship to the emergence of vaccine-resistant mutants and representing three susceptible populations, three infected populations, and one recovered population. This minimally computationally intensive design enables simulation of epidemics across a broad parameter space. The results are used to identify conditions minimizing the cumulative number of infections. Results: When an escape variant is only modestly less infectious than the originating strain within a naïve population, the cumulative number of infections does not monotonically decrease with the rate of vaccine distribution. Analysis of the model also demonstrates that inoculated individuals play a major role in the mitigation or exacerbation of vaccine-resistant outbreaks. Modulating the rate of host–host contact for the inoculated population by less than an order of magnitude can alter the cumulative number of infections by more than 20%. Conclusions: Mathematical modeling shows that limiting post-vaccination contacts can perceptibly affect the course of an epidemic. The consideration of limitations on post-vaccination contacts remains relevant for the entire duration of any vaccination campaign including the current status of SARS-CoV-2 vaccination. F1000 Research Limited 2021-08-26 /pmc/articles/PMC8406440/ /pubmed/34504684 http://dx.doi.org/10.12688/f1000research.52341.2 Text en Copyright: © 2021 Rochman N et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions. |
spellingShingle | Research Article Rochman, Nash Wolf, Yuri I Koonin, Eugene V Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics |
title | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics |
title_full | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics |
title_fullStr | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics |
title_full_unstemmed | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics |
title_short | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics |
title_sort | substantial impact of post-vaccination contacts on cumulative infections during viral epidemics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406440/ https://www.ncbi.nlm.nih.gov/pubmed/34504684 http://dx.doi.org/10.12688/f1000research.52341.2 |
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