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A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model
Vaccination is an effective measure to control the diffusion of infectious disease such as COVID-19. This paper analyzes the basic reproduction number in South Korea which enables us to identify a necessary level of vaccine stockpile to achieve herd immunity. An susceptible-infected-susceptible mode...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358302/ https://www.ncbi.nlm.nih.gov/pubmed/32836840 http://dx.doi.org/10.1007/s10640-020-00439-8 |
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author | Park, Hojeong Kim, Songhee H. |
author_facet | Park, Hojeong Kim, Songhee H. |
author_sort | Park, Hojeong |
collection | PubMed |
description | Vaccination is an effective measure to control the diffusion of infectious disease such as COVID-19. This paper analyzes the basic reproduction number in South Korea which enables us to identify a necessary level of vaccine stockpile to achieve herd immunity. An susceptible-infected-susceptible model is adopted that allows a stochastic diffusion. The result shows that the basic reproduction number of South Korea is approximately 2 which is substantially lower than those of the other regions. The herd immunity calculated from economic-epidemiological model suggests that at least 62% of the susceptible population be vaccinated when COVID-19 vaccine becomes available. |
format | Online Article Text |
id | pubmed-7358302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-73583022020-07-14 A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model Park, Hojeong Kim, Songhee H. Environ Resour Econ (Dordr) Article Vaccination is an effective measure to control the diffusion of infectious disease such as COVID-19. This paper analyzes the basic reproduction number in South Korea which enables us to identify a necessary level of vaccine stockpile to achieve herd immunity. An susceptible-infected-susceptible model is adopted that allows a stochastic diffusion. The result shows that the basic reproduction number of South Korea is approximately 2 which is substantially lower than those of the other regions. The herd immunity calculated from economic-epidemiological model suggests that at least 62% of the susceptible population be vaccinated when COVID-19 vaccine becomes available. Springer Netherlands 2020-07-13 2020 /pmc/articles/PMC7358302/ /pubmed/32836840 http://dx.doi.org/10.1007/s10640-020-00439-8 Text en © Springer Nature B.V. 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Park, Hojeong Kim, Songhee H. A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model |
title | A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model |
title_full | A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model |
title_fullStr | A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model |
title_full_unstemmed | A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model |
title_short | A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model |
title_sort | study on herd immunity of covid-19 in south korea: using a stochastic economic-epidemiological model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358302/ https://www.ncbi.nlm.nih.gov/pubmed/32836840 http://dx.doi.org/10.1007/s10640-020-00439-8 |
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