Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19

BACKGROUND: The pandemic of COVID-19 has been shaping economic developments of the world. From the standpoint of government measures to prevent and control the epidemic, the lockdown was widely used. It is essential to access the economic losses in a lockdown environment which will provide governmen...

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Published in:Frontiers in Public Health
Main Authors: Zhang, Houli, You, Shibing, Zhang, Miao, Chen, Anqi, Hu, Zengyun, Liu, Ying, Liu, Difei, Yuan, Pei, Tan, Yi
Format: Text
Language:English
Published: Frontiers Media S.A. 2022
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129268/
https://doi.org/10.3389/fpubh.2022.859751
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spelling ftpubmed:oai:pubmedcentral.nih.gov:9129268 2023-05-15T14:01:33+02:00 Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19 Zhang, Houli You, Shibing Zhang, Miao Chen, Anqi Hu, Zengyun Liu, Ying Liu, Difei Yuan, Pei Tan, Yi 2022-05-10 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129268/ https://doi.org/10.3389/fpubh.2022.859751 en eng Frontiers Media S.A. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129268/ http://dx.doi.org/10.3389/fpubh.2022.859751 Copyright © 2022 Zhang, You, Zhang, Chen, Hu, Liu, Liu, Yuan and Tan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. CC-BY Front Public Health Public Health Text 2022 ftpubmed https://doi.org/10.3389/fpubh.2022.859751 2022-05-29T00:44:56Z BACKGROUND: The pandemic of COVID-19 has been shaping economic developments of the world. From the standpoint of government measures to prevent and control the epidemic, the lockdown was widely used. It is essential to access the economic losses in a lockdown environment which will provide government administration with a necessary reference for decision making in controlling the epidemic. METHODS: We introduce the concept of “standard unit incident” and an economic losses assessment methodology for both the standard and the assessed area. We build a “standard unit lockdown” economic losses assessment system and indicators to estimate the economic losses for the monthly lockdown. Using the comprehensive assessment system, the loss infected coefficient of monthly economic losses during lockdown in the 40 countries has been calculated to assess the economic losses by the entropy weighting method (EWM) with data from the CSMAR database and CDC website. RESULTS: We observe that countries in North America suffered the most significant economic losses due to the epidemic, followed by South America and Europe, Asia and Africa, and Oceania and Antarctica suffered relatively minor economic losses. The top 10 countries for monthly economic losses during lockdown were the United States, India, Brazil, France, Turkey, Russia, the United Kingdom, Italy, Spain, and Germany. The United States suffered the greatest monthly economic losses under lockdown ($65.3 billion), roughly 1.5 times that of China, while Germany suffered the least ($56.4 billion), roughly 1.3 times that of China. CONCLUSION: Lockdown as a control and mitigation strategy has great impact on the economic development and causes huge economic losses. The economic impact due to the pandemic has varied widely among the 40 countries. It will be important to conduct further studies to compare and understand the differences and the reasons behind. Text Antarc* Antarctica PubMed Central (PMC) Frontiers in Public Health 10
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Public Health
spellingShingle Public Health
Zhang, Houli
You, Shibing
Zhang, Miao
Chen, Anqi
Hu, Zengyun
Liu, Ying
Liu, Difei
Yuan, Pei
Tan, Yi
Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19
topic_facet Public Health
description BACKGROUND: The pandemic of COVID-19 has been shaping economic developments of the world. From the standpoint of government measures to prevent and control the epidemic, the lockdown was widely used. It is essential to access the economic losses in a lockdown environment which will provide government administration with a necessary reference for decision making in controlling the epidemic. METHODS: We introduce the concept of “standard unit incident” and an economic losses assessment methodology for both the standard and the assessed area. We build a “standard unit lockdown” economic losses assessment system and indicators to estimate the economic losses for the monthly lockdown. Using the comprehensive assessment system, the loss infected coefficient of monthly economic losses during lockdown in the 40 countries has been calculated to assess the economic losses by the entropy weighting method (EWM) with data from the CSMAR database and CDC website. RESULTS: We observe that countries in North America suffered the most significant economic losses due to the epidemic, followed by South America and Europe, Asia and Africa, and Oceania and Antarctica suffered relatively minor economic losses. The top 10 countries for monthly economic losses during lockdown were the United States, India, Brazil, France, Turkey, Russia, the United Kingdom, Italy, Spain, and Germany. The United States suffered the greatest monthly economic losses under lockdown ($65.3 billion), roughly 1.5 times that of China, while Germany suffered the least ($56.4 billion), roughly 1.3 times that of China. CONCLUSION: Lockdown as a control and mitigation strategy has great impact on the economic development and causes huge economic losses. The economic impact due to the pandemic has varied widely among the 40 countries. It will be important to conduct further studies to compare and understand the differences and the reasons behind.
format Text
author Zhang, Houli
You, Shibing
Zhang, Miao
Chen, Anqi
Hu, Zengyun
Liu, Ying
Liu, Difei
Yuan, Pei
Tan, Yi
author_facet Zhang, Houli
You, Shibing
Zhang, Miao
Chen, Anqi
Hu, Zengyun
Liu, Ying
Liu, Difei
Yuan, Pei
Tan, Yi
author_sort Zhang, Houli
title Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19
title_short Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19
title_full Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19
title_fullStr Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19
title_full_unstemmed Empirical Study of Monthly Economic Losses Assessments for “Standard Unit Lockdown” Due to COVID-19
title_sort empirical study of monthly economic losses assessments for “standard unit lockdown” due to covid-19
publisher Frontiers Media S.A.
publishDate 2022
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129268/
https://doi.org/10.3389/fpubh.2022.859751
genre Antarc*
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genre_facet Antarc*
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op_source Front Public Health
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129268/
http://dx.doi.org/10.3389/fpubh.2022.859751
op_rights Copyright © 2022 Zhang, You, Zhang, Chen, Hu, Liu, Liu, Yuan and Tan.
https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fpubh.2022.859751
container_title Frontiers in Public Health
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