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The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis

When encountering the outbreak and early spreading of COVID-19, the Government of Japan imposed gradually upgraded restriction policies and declared the state of emergency in April 2020 for the first time. To evaluate the efficacy of the countering strategies in different periods, we constructed a S...

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Autores principales: Chen, Zhongxiang, Sun, Siqiang, Zhao, Wenhui, Liu, Zhaoru, Zhao, Xinyao, Huang, Xiuxiang, Pan, Jiaji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379385/
https://www.ncbi.nlm.nih.gov/pubmed/34426747
http://dx.doi.org/10.1155/2021/8873059
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author Chen, Zhongxiang
Sun, Siqiang
Zhao, Wenhui
Liu, Zhaoru
Zhao, Xinyao
Huang, Xiuxiang
Pan, Jiaji
author_facet Chen, Zhongxiang
Sun, Siqiang
Zhao, Wenhui
Liu, Zhaoru
Zhao, Xinyao
Huang, Xiuxiang
Pan, Jiaji
author_sort Chen, Zhongxiang
collection PubMed
description When encountering the outbreak and early spreading of COVID-19, the Government of Japan imposed gradually upgraded restriction policies and declared the state of emergency in April 2020 for the first time. To evaluate the efficacy of the countering strategies in different periods, we constructed a SEIADR (susceptible-exposed-infected-asymptomatic-documented-recovered) model to simulate the cases and determined corresponding spreading coefficients. The effective reproduction number R(t) was obtained to evaluate the measures controlling the COVID-19 conducted by the Government of Japan during different stages. It was found that the strict containing strategies during the state of emergency period drastically inhibit the COVID-19 trend. R(t) was decreased to 1.1123 and 0.8911 in stages 4 and 5 (a state of emergency in April and May 2020) from 3.5736, 2.0126, 3.0672 in the previous three stages when the containing strategies were weak. The state of emergency was declared again in view of the second wave of massive infections in January 2021. We estimated the cumulative infected cases and additional days to contain the COVID-19 transmission for the second state of emergency using this model. R(t) was 1.028 which illustrated that the strategies were less effective than the previous state of emergency. Finally, the overall infected population was predicted using combined isolation and testing intensity; the effectiveness and the expected peak time were evaluated. If using the optimized control strategies in the current stage, the spread of COVID-19 in Japan could be controlled within 30 days. The total confirmed cases should reduce to less than 4.2 × 10(5) by April 2021. This model study suggested stricter isolating measures may be required to shorten the period of the state of emergency.
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spelling pubmed-83793852021-08-22 The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis Chen, Zhongxiang Sun, Siqiang Zhao, Wenhui Liu, Zhaoru Zhao, Xinyao Huang, Xiuxiang Pan, Jiaji Comput Math Methods Med Research Article When encountering the outbreak and early spreading of COVID-19, the Government of Japan imposed gradually upgraded restriction policies and declared the state of emergency in April 2020 for the first time. To evaluate the efficacy of the countering strategies in different periods, we constructed a SEIADR (susceptible-exposed-infected-asymptomatic-documented-recovered) model to simulate the cases and determined corresponding spreading coefficients. The effective reproduction number R(t) was obtained to evaluate the measures controlling the COVID-19 conducted by the Government of Japan during different stages. It was found that the strict containing strategies during the state of emergency period drastically inhibit the COVID-19 trend. R(t) was decreased to 1.1123 and 0.8911 in stages 4 and 5 (a state of emergency in April and May 2020) from 3.5736, 2.0126, 3.0672 in the previous three stages when the containing strategies were weak. The state of emergency was declared again in view of the second wave of massive infections in January 2021. We estimated the cumulative infected cases and additional days to contain the COVID-19 transmission for the second state of emergency using this model. R(t) was 1.028 which illustrated that the strategies were less effective than the previous state of emergency. Finally, the overall infected population was predicted using combined isolation and testing intensity; the effectiveness and the expected peak time were evaluated. If using the optimized control strategies in the current stage, the spread of COVID-19 in Japan could be controlled within 30 days. The total confirmed cases should reduce to less than 4.2 × 10(5) by April 2021. This model study suggested stricter isolating measures may be required to shorten the period of the state of emergency. Hindawi 2021-07-26 /pmc/articles/PMC8379385/ /pubmed/34426747 http://dx.doi.org/10.1155/2021/8873059 Text en Copyright © 2021 Zhongxiang Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Zhongxiang
Sun, Siqiang
Zhao, Wenhui
Liu, Zhaoru
Zhao, Xinyao
Huang, Xiuxiang
Pan, Jiaji
The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis
title The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis
title_full The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis
title_fullStr The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis
title_full_unstemmed The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis
title_short The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis
title_sort impact of the declaration of the state of emergency on the spread of covid-19: a modeling analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379385/
https://www.ncbi.nlm.nih.gov/pubmed/34426747
http://dx.doi.org/10.1155/2021/8873059
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