Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics [version 2; peer review: 2 approved]
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...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2021-08-01
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| Series: | F1000Research |
| Online Access: | https://f1000research.com/articles/10-315/v2 |
| _version_ | 1818435022029324288 |
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| author | Nash Rochman Yuri Wolf Eugene V. Koonin |
| author_facet | Nash Rochman Yuri Wolf Eugene V. Koonin |
| author_sort | Nash Rochman |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T16:46:16Z |
| format | Article |
| id | doaj.art-f6c1fdb4623746e0a5e635c4551b2593 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-12-14T16:46:16Z |
| publishDate | 2021-08-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-f6c1fdb4623746e0a5e635c4551b25932022-12-21T22:54:11ZengF1000 Research LtdF1000Research2046-14022021-08-011010.12688/f1000research.52341.276677Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics [version 2; peer review: 2 approved]Nash Rochman0Yuri Wolf1Eugene V. Koonin2National Center for Biotechnology Information, NIH, Bethesda, MD, 20894, USANational Center for Biotechnology Information, NIH, Bethesda, MD, 20894, USANational Center for Biotechnology Information, NIH, Bethesda, MD, 20894, USABackground: 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.https://f1000research.com/articles/10-315/v2 |
| spellingShingle | Nash Rochman Yuri Wolf Eugene V. Koonin Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics [version 2; peer review: 2 approved] F1000Research |
| title | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics [version 2; peer review: 2 approved] |
| title_full | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics [version 2; peer review: 2 approved] |
| title_fullStr | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics [version 2; peer review: 2 approved] |
| title_full_unstemmed | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics [version 2; peer review: 2 approved] |
| title_short | Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics [version 2; peer review: 2 approved] |
| title_sort | substantial impact of post vaccination contacts on cumulative infections during viral epidemics version 2 peer review 2 approved |
| url | https://f1000research.com/articles/10-315/v2 |
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