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Network models to evaluate vaccine strategies towards herd immunity in COVID-19

Vaccination remains a critical element in the eventual solution to the COVID-19 public health crisis. Many vaccines are already being mass produced and supplied in many countries. However, the COVID-19 vaccination programme will be the biggest in history. Reaching herd immunity will require an unpre...

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Autores principales: Tetteh, Josephine N.A., Nguyen, Van Kinh, Hernandez-Vargas, Esteban A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426151/
https://www.ncbi.nlm.nih.gov/pubmed/34508758
http://dx.doi.org/10.1016/j.jtbi.2021.110894
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author Tetteh, Josephine N.A.
Nguyen, Van Kinh
Hernandez-Vargas, Esteban A.
author_facet Tetteh, Josephine N.A.
Nguyen, Van Kinh
Hernandez-Vargas, Esteban A.
author_sort Tetteh, Josephine N.A.
collection PubMed
description Vaccination remains a critical element in the eventual solution to the COVID-19 public health crisis. Many vaccines are already being mass produced and supplied in many countries. However, the COVID-19 vaccination programme will be the biggest in history. Reaching herd immunity will require an unprecedented mass immunisation campaign that will take several months and millions of dollars. Using different network models, COVID-19 pandemic dynamics of different countries can be recapitulated such as in Italy. Stochastic computational simulations highlight that peak epidemic sizes in a population strongly depend on the network structure. Assuming a vaccine efficacy of at least [Formula: see text] in a mass vaccination program, at least [Formula: see text] of a given population should be vaccinated to obtain herd immunity, independently of the network structure. If the vaccine efficacy reports lower levels of efficacy in practice, then the coverage of vaccination would be needed to be even higher. Simulations suggest that the “Ring of Vaccination” strategy, vaccinating susceptible contact and contact of contacts, would prevent new waves of COVID −19 meanwhile a high percent of the population is vaccinated.
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spelling pubmed-84261512021-09-09 Network models to evaluate vaccine strategies towards herd immunity in COVID-19 Tetteh, Josephine N.A. Nguyen, Van Kinh Hernandez-Vargas, Esteban A. J Theor Biol Article Vaccination remains a critical element in the eventual solution to the COVID-19 public health crisis. Many vaccines are already being mass produced and supplied in many countries. However, the COVID-19 vaccination programme will be the biggest in history. Reaching herd immunity will require an unprecedented mass immunisation campaign that will take several months and millions of dollars. Using different network models, COVID-19 pandemic dynamics of different countries can be recapitulated such as in Italy. Stochastic computational simulations highlight that peak epidemic sizes in a population strongly depend on the network structure. Assuming a vaccine efficacy of at least [Formula: see text] in a mass vaccination program, at least [Formula: see text] of a given population should be vaccinated to obtain herd immunity, independently of the network structure. If the vaccine efficacy reports lower levels of efficacy in practice, then the coverage of vaccination would be needed to be even higher. Simulations suggest that the “Ring of Vaccination” strategy, vaccinating susceptible contact and contact of contacts, would prevent new waves of COVID −19 meanwhile a high percent of the population is vaccinated. Elsevier Ltd. 2021-12-21 2021-09-09 /pmc/articles/PMC8426151/ /pubmed/34508758 http://dx.doi.org/10.1016/j.jtbi.2021.110894 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Tetteh, Josephine N.A.
Nguyen, Van Kinh
Hernandez-Vargas, Esteban A.
Network models to evaluate vaccine strategies towards herd immunity in COVID-19
title Network models to evaluate vaccine strategies towards herd immunity in COVID-19
title_full Network models to evaluate vaccine strategies towards herd immunity in COVID-19
title_fullStr Network models to evaluate vaccine strategies towards herd immunity in COVID-19
title_full_unstemmed Network models to evaluate vaccine strategies towards herd immunity in COVID-19
title_short Network models to evaluate vaccine strategies towards herd immunity in COVID-19
title_sort network models to evaluate vaccine strategies towards herd immunity in covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426151/
https://www.ncbi.nlm.nih.gov/pubmed/34508758
http://dx.doi.org/10.1016/j.jtbi.2021.110894
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