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Optimal lockdown policy for vaccination during COVID-19 pandemic
As the COVID-19 spreads across the world, many nations impose lockdown measures at the early stage of the pandemic to prevent the spread of the disease. Controversy surrounds the lockdown as it is a choice between economic freedom and public health. The ultimate solution to a pandemic is to vaccinat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119293/ https://www.ncbi.nlm.nih.gov/pubmed/34007250 http://dx.doi.org/10.1016/j.frl.2021.102123 |
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author | Fu, Yuting Jin, Hanqing Xiang, Haitao Wang, Ning |
author_facet | Fu, Yuting Jin, Hanqing Xiang, Haitao Wang, Ning |
author_sort | Fu, Yuting |
collection | PubMed |
description | As the COVID-19 spreads across the world, many nations impose lockdown measures at the early stage of the pandemic to prevent the spread of the disease. Controversy surrounds the lockdown as it is a choice between economic freedom and public health. The ultimate solution to a pandemic is to vaccinate a massive population to achieve herd immunity. However, the whole vaccination programme is a long and complicated process. The virus and the vaccine will coexist for quite a long time. How to gradually ease the lockdown based on vaccination progress is an important question, as both economic and epidemiological issues are involved. In this paper, we extend the classic SIR model to find optimal decision to balance between economy and public health in the process of vaccination rollout. The model provides an approach of vaccine value estimation. Our results provide scientific suggestion for policymakers to make important decisions on how to gradually relax the strength for the lockdown over the entire vaccination cycle. |
format | Online Article Text |
id | pubmed-8119293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81192932021-05-14 Optimal lockdown policy for vaccination during COVID-19 pandemic Fu, Yuting Jin, Hanqing Xiang, Haitao Wang, Ning Financ Res Lett Article As the COVID-19 spreads across the world, many nations impose lockdown measures at the early stage of the pandemic to prevent the spread of the disease. Controversy surrounds the lockdown as it is a choice between economic freedom and public health. The ultimate solution to a pandemic is to vaccinate a massive population to achieve herd immunity. However, the whole vaccination programme is a long and complicated process. The virus and the vaccine will coexist for quite a long time. How to gradually ease the lockdown based on vaccination progress is an important question, as both economic and epidemiological issues are involved. In this paper, we extend the classic SIR model to find optimal decision to balance between economy and public health in the process of vaccination rollout. The model provides an approach of vaccine value estimation. Our results provide scientific suggestion for policymakers to make important decisions on how to gradually relax the strength for the lockdown over the entire vaccination cycle. The Author(s). Published by Elsevier Inc. 2022-03 2021-05-14 /pmc/articles/PMC8119293/ /pubmed/34007250 http://dx.doi.org/10.1016/j.frl.2021.102123 Text en © 2021 The Author(s) 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 Fu, Yuting Jin, Hanqing Xiang, Haitao Wang, Ning Optimal lockdown policy for vaccination during COVID-19 pandemic |
title | Optimal lockdown policy for vaccination during COVID-19 pandemic |
title_full | Optimal lockdown policy for vaccination during COVID-19 pandemic |
title_fullStr | Optimal lockdown policy for vaccination during COVID-19 pandemic |
title_full_unstemmed | Optimal lockdown policy for vaccination during COVID-19 pandemic |
title_short | Optimal lockdown policy for vaccination during COVID-19 pandemic |
title_sort | optimal lockdown policy for vaccination during covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119293/ https://www.ncbi.nlm.nih.gov/pubmed/34007250 http://dx.doi.org/10.1016/j.frl.2021.102123 |
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