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Dynamics of SARS-CoV-2 with waning immunity in the UK population

The dynamics of immunity are crucial to understanding the long-term patterns of the SARS-CoV-2 pandemic. Several cases of reinfection with SARS-CoV-2 have been documented 48–142 days after the initial infection and immunity to seasonal circulating coronaviruses is estimated to be shorter than 1 year...

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Autores principales: Crellen, Thomas, Pi, Li, Davis, Emma L., Pollington, Timothy M., Lucas, Tim C. D., Ayabina, Diepreye, Borlase, Anna, Toor, Jaspreet, Prem, Kiesha, Medley, Graham F., Klepac, Petra, Déirdre Hollingsworth, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165597/
https://www.ncbi.nlm.nih.gov/pubmed/34053264
http://dx.doi.org/10.1098/rstb.2020.0274
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author Crellen, Thomas
Pi, Li
Davis, Emma L.
Pollington, Timothy M.
Lucas, Tim C. D.
Ayabina, Diepreye
Borlase, Anna
Toor, Jaspreet
Prem, Kiesha
Medley, Graham F.
Klepac, Petra
Déirdre Hollingsworth, T.
author_facet Crellen, Thomas
Pi, Li
Davis, Emma L.
Pollington, Timothy M.
Lucas, Tim C. D.
Ayabina, Diepreye
Borlase, Anna
Toor, Jaspreet
Prem, Kiesha
Medley, Graham F.
Klepac, Petra
Déirdre Hollingsworth, T.
author_sort Crellen, Thomas
collection PubMed
description The dynamics of immunity are crucial to understanding the long-term patterns of the SARS-CoV-2 pandemic. Several cases of reinfection with SARS-CoV-2 have been documented 48–142 days after the initial infection and immunity to seasonal circulating coronaviruses is estimated to be shorter than 1 year. Using an age-structured, deterministic model, we explore potential immunity dynamics using contact data from the UK population. In the scenario where immunity to SARS-CoV-2 lasts an average of three months for non-hospitalized individuals, a year for hospitalized individuals, and the effective reproduction number after lockdown ends is 1.2 (our worst-case scenario), we find that the secondary peak occurs in winter 2020 with a daily maximum of 387 000 infectious individuals and 125 000 daily new cases; threefold greater than in a scenario with permanent immunity. Our models suggest that longitudinal serological surveys to determine if immunity in the population is waning will be most informative when sampling takes place from the end of the lockdown in June until autumn 2020. After this period, the proportion of the population with antibodies to SARS-CoV-2 is expected to increase due to the secondary wave. Overall, our analysis presents considerations for policy makers on the longer-term dynamics of SARS-CoV-2 in the UK and suggests that strategies designed to achieve herd immunity may lead to repeated waves of infection as immunity to reinfection is not permanent. This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
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spelling pubmed-81655972021-06-03 Dynamics of SARS-CoV-2 with waning immunity in the UK population Crellen, Thomas Pi, Li Davis, Emma L. Pollington, Timothy M. Lucas, Tim C. D. Ayabina, Diepreye Borlase, Anna Toor, Jaspreet Prem, Kiesha Medley, Graham F. Klepac, Petra Déirdre Hollingsworth, T. Philos Trans R Soc Lond B Biol Sci Articles The dynamics of immunity are crucial to understanding the long-term patterns of the SARS-CoV-2 pandemic. Several cases of reinfection with SARS-CoV-2 have been documented 48–142 days after the initial infection and immunity to seasonal circulating coronaviruses is estimated to be shorter than 1 year. Using an age-structured, deterministic model, we explore potential immunity dynamics using contact data from the UK population. In the scenario where immunity to SARS-CoV-2 lasts an average of three months for non-hospitalized individuals, a year for hospitalized individuals, and the effective reproduction number after lockdown ends is 1.2 (our worst-case scenario), we find that the secondary peak occurs in winter 2020 with a daily maximum of 387 000 infectious individuals and 125 000 daily new cases; threefold greater than in a scenario with permanent immunity. Our models suggest that longitudinal serological surveys to determine if immunity in the population is waning will be most informative when sampling takes place from the end of the lockdown in June until autumn 2020. After this period, the proportion of the population with antibodies to SARS-CoV-2 is expected to increase due to the secondary wave. Overall, our analysis presents considerations for policy makers on the longer-term dynamics of SARS-CoV-2 in the UK and suggests that strategies designed to achieve herd immunity may lead to repeated waves of infection as immunity to reinfection is not permanent. This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’. The Royal Society 2021-07-19 2021-05-31 /pmc/articles/PMC8165597/ /pubmed/34053264 http://dx.doi.org/10.1098/rstb.2020.0274 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Crellen, Thomas
Pi, Li
Davis, Emma L.
Pollington, Timothy M.
Lucas, Tim C. D.
Ayabina, Diepreye
Borlase, Anna
Toor, Jaspreet
Prem, Kiesha
Medley, Graham F.
Klepac, Petra
Déirdre Hollingsworth, T.
Dynamics of SARS-CoV-2 with waning immunity in the UK population
title Dynamics of SARS-CoV-2 with waning immunity in the UK population
title_full Dynamics of SARS-CoV-2 with waning immunity in the UK population
title_fullStr Dynamics of SARS-CoV-2 with waning immunity in the UK population
title_full_unstemmed Dynamics of SARS-CoV-2 with waning immunity in the UK population
title_short Dynamics of SARS-CoV-2 with waning immunity in the UK population
title_sort dynamics of sars-cov-2 with waning immunity in the uk population
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165597/
https://www.ncbi.nlm.nih.gov/pubmed/34053264
http://dx.doi.org/10.1098/rstb.2020.0274
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