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Optimal age-specific vaccination control for COVID-19: An Irish case study

The outbreak of a novel coronavirus causing severe acute respiratory syndrome in December 2019 has escalated into a worldwide pandemic. In this work, we propose a compartmental model to describe the dynamics of transmission of infection and use it to obtain the optimal vaccination control. The model...

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Autores principales: Zavrakli, Eleni, Parnell, Andrew, Malone, David, Duffy, Ken, Dey, Subhrakanti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10479919/
https://www.ncbi.nlm.nih.gov/pubmed/37669287
http://dx.doi.org/10.1371/journal.pone.0290974
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author Zavrakli, Eleni
Parnell, Andrew
Malone, David
Duffy, Ken
Dey, Subhrakanti
author_facet Zavrakli, Eleni
Parnell, Andrew
Malone, David
Duffy, Ken
Dey, Subhrakanti
author_sort Zavrakli, Eleni
collection PubMed
description The outbreak of a novel coronavirus causing severe acute respiratory syndrome in December 2019 has escalated into a worldwide pandemic. In this work, we propose a compartmental model to describe the dynamics of transmission of infection and use it to obtain the optimal vaccination control. The model accounts for the various stages of the vaccination, and the optimisation is focused on minimising the infections to protect the population and relieve the healthcare system. As a case study, we selected the Republic of Ireland. We use data provided by Ireland’s COVID-19 Data-Hub and simulate the evolution of the pandemic with and without the vaccination in place for two different scenarios, one representative of a national lockdown situation and the other indicating looser restrictions in place. One of the main findings of our work is that the optimal approach would involve a vaccination programme where the older population is vaccinated in larger numbers earlier while simultaneously part of the younger population also gets vaccinated to lower the risk of transmission between groups. We compare our simulated results with those of the vaccination policy taken by the Irish government to explore the advantages of our optimisation method. Our comparison suggests that a similar reduction in cases may have been possible even with a reduced set of vaccinations available for use.
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spelling pubmed-104799192023-09-06 Optimal age-specific vaccination control for COVID-19: An Irish case study Zavrakli, Eleni Parnell, Andrew Malone, David Duffy, Ken Dey, Subhrakanti PLoS One Research Article The outbreak of a novel coronavirus causing severe acute respiratory syndrome in December 2019 has escalated into a worldwide pandemic. In this work, we propose a compartmental model to describe the dynamics of transmission of infection and use it to obtain the optimal vaccination control. The model accounts for the various stages of the vaccination, and the optimisation is focused on minimising the infections to protect the population and relieve the healthcare system. As a case study, we selected the Republic of Ireland. We use data provided by Ireland’s COVID-19 Data-Hub and simulate the evolution of the pandemic with and without the vaccination in place for two different scenarios, one representative of a national lockdown situation and the other indicating looser restrictions in place. One of the main findings of our work is that the optimal approach would involve a vaccination programme where the older population is vaccinated in larger numbers earlier while simultaneously part of the younger population also gets vaccinated to lower the risk of transmission between groups. We compare our simulated results with those of the vaccination policy taken by the Irish government to explore the advantages of our optimisation method. Our comparison suggests that a similar reduction in cases may have been possible even with a reduced set of vaccinations available for use. Public Library of Science 2023-09-05 /pmc/articles/PMC10479919/ /pubmed/37669287 http://dx.doi.org/10.1371/journal.pone.0290974 Text en © 2023 Zavrakli et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zavrakli, Eleni
Parnell, Andrew
Malone, David
Duffy, Ken
Dey, Subhrakanti
Optimal age-specific vaccination control for COVID-19: An Irish case study
title Optimal age-specific vaccination control for COVID-19: An Irish case study
title_full Optimal age-specific vaccination control for COVID-19: An Irish case study
title_fullStr Optimal age-specific vaccination control for COVID-19: An Irish case study
title_full_unstemmed Optimal age-specific vaccination control for COVID-19: An Irish case study
title_short Optimal age-specific vaccination control for COVID-19: An Irish case study
title_sort optimal age-specific vaccination control for covid-19: an irish case study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10479919/
https://www.ncbi.nlm.nih.gov/pubmed/37669287
http://dx.doi.org/10.1371/journal.pone.0290974
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