Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rochman, Nash, Wolf, Yuri I, Koonin, Eugene V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
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
_version_ 1783746512556130304
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
work_keys_str_mv AT rochmannash substantialimpactofpostvaccinationcontactsoncumulativeinfectionsduringviralepidemics
AT wolfyurii substantialimpactofpostvaccinationcontactsoncumulativeinfectionsduringviralepidemics
AT koonineugenev substantialimpactofpostvaccinationcontactsoncumulativeinfectionsduringviralepidemics