Social restriction versus herd immunity policies in the early phase of the SARS-CoV-2 pandemic: A mathematical modelling study

BACKGROUND: Two main strategies to cope with the coronavirus disease 2019 (COVID-19) pandemic-lockdown (social restriction) and non-lockdown (herd immunity plan)-have been implemented in several countries. OBJECTIVE: This study aims to statistically compare the outcomes of the two strategies, repres...

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Main Author: Chancharoenthana W.
Other Authors: Mahidol University
Format: Article
Published: 2023
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/90845
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spelling th-mahidol.908452023-10-31T01:01:54Z Social restriction versus herd immunity policies in the early phase of the SARS-CoV-2 pandemic: A mathematical modelling study Chancharoenthana W. Mahidol University Medicine BACKGROUND: Two main strategies to cope with the coronavirus disease 2019 (COVID-19) pandemic-lockdown (social restriction) and non-lockdown (herd immunity plan)-have been implemented in several countries. OBJECTIVE: This study aims to statistically compare the outcomes of the two strategies, represented by data from Thailand and Sweden, respectively. METHODS: Data for COVID-19 pandemic control from Thailand, representing social restriction, versus data from Sweden, representing the herd immunity plan, collected from January 13 to May 31, 2020, were analyzed by using the SIR (susceptible, infectious, recovered) model. RESULTS: The SIR model analysis demonstrated a beneficial effect of each model on the attenuation of the mortality rate, with lower mortality in social restriction and shorter overall pandemic duration in the herd immunity plan. However, the herd immunity plan demonstrated a higher mortality rate than social restriction (46.9% versus 1.9%) despite the later entry of the virus in Sweden. When the SIR model was used for predicting the COVID-19 status, Sweden was shown to likely end its COVID-19 epidemic earlier than Thailand (268 vs. 368 days). With the nonlinear estimation, at least one log difference between total confirmed cases versus active cases could be used as an indicator for relaxation of the lockdown policy in Thailand. CONCLUSIONS: Both the social restriction and herd immunity plans are beneficial for COVID-19 pandemic control in terms of the amelioration of pandemic mortality. The cumulative number of total recovered cases might be a potential parameter that could be used for determining the policy direction for COVID-19 control. 2023-10-30T18:01:54Z 2023-10-30T18:01:54Z 2023-09-01 Article Asian Pacific journal of allergy and immunology Vol.41 No.3 (2023) , 253-262 10.12932/AP-140720-0914 0125877X 33386788 2-s2.0-85174641651 https://repository.li.mahidol.ac.th/handle/123456789/90845 SCOPUS
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
spellingShingle Medicine
Chancharoenthana W.
Social restriction versus herd immunity policies in the early phase of the SARS-CoV-2 pandemic: A mathematical modelling study
description BACKGROUND: Two main strategies to cope with the coronavirus disease 2019 (COVID-19) pandemic-lockdown (social restriction) and non-lockdown (herd immunity plan)-have been implemented in several countries. OBJECTIVE: This study aims to statistically compare the outcomes of the two strategies, represented by data from Thailand and Sweden, respectively. METHODS: Data for COVID-19 pandemic control from Thailand, representing social restriction, versus data from Sweden, representing the herd immunity plan, collected from January 13 to May 31, 2020, were analyzed by using the SIR (susceptible, infectious, recovered) model. RESULTS: The SIR model analysis demonstrated a beneficial effect of each model on the attenuation of the mortality rate, with lower mortality in social restriction and shorter overall pandemic duration in the herd immunity plan. However, the herd immunity plan demonstrated a higher mortality rate than social restriction (46.9% versus 1.9%) despite the later entry of the virus in Sweden. When the SIR model was used for predicting the COVID-19 status, Sweden was shown to likely end its COVID-19 epidemic earlier than Thailand (268 vs. 368 days). With the nonlinear estimation, at least one log difference between total confirmed cases versus active cases could be used as an indicator for relaxation of the lockdown policy in Thailand. CONCLUSIONS: Both the social restriction and herd immunity plans are beneficial for COVID-19 pandemic control in terms of the amelioration of pandemic mortality. The cumulative number of total recovered cases might be a potential parameter that could be used for determining the policy direction for COVID-19 control.
author2 Mahidol University
author_facet Mahidol University
Chancharoenthana W.
format Article
author Chancharoenthana W.
author_sort Chancharoenthana W.
title Social restriction versus herd immunity policies in the early phase of the SARS-CoV-2 pandemic: A mathematical modelling study
title_short Social restriction versus herd immunity policies in the early phase of the SARS-CoV-2 pandemic: A mathematical modelling study
title_full Social restriction versus herd immunity policies in the early phase of the SARS-CoV-2 pandemic: A mathematical modelling study
title_fullStr Social restriction versus herd immunity policies in the early phase of the SARS-CoV-2 pandemic: A mathematical modelling study
title_full_unstemmed Social restriction versus herd immunity policies in the early phase of the SARS-CoV-2 pandemic: A mathematical modelling study
title_sort social restriction versus herd immunity policies in the early phase of the sars-cov-2 pandemic: a mathematical modelling study
publishDate 2023
url https://repository.li.mahidol.ac.th/handle/123456789/90845
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