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Estimating the quarantine failure rate for COVID-19
Quarantine is a crucial control measure in reducing imported COVID-19 cases and community transmissions. However, some quarantined COVID-19 patients may show symptoms after finishing quarantine due to a long median incubation period, potentially causing community transmissions. To assess the recomme...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299156/ https://www.ncbi.nlm.nih.gov/pubmed/34316527 http://dx.doi.org/10.1016/j.idm.2021.07.002 |
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author | Li, Meili Yuan, Qianqian Chen, Pian Song, Baojun Ma, Junling |
author_facet | Li, Meili Yuan, Qianqian Chen, Pian Song, Baojun Ma, Junling |
author_sort | Li, Meili |
collection | PubMed |
description | Quarantine is a crucial control measure in reducing imported COVID-19 cases and community transmissions. However, some quarantined COVID-19 patients may show symptoms after finishing quarantine due to a long median incubation period, potentially causing community transmissions. To assess the recommended 14-day quarantine policy, we develop a formula to estimate the quarantine failure rate from the incubation period distribution and the epidemic curve. We found that the quarantine failure rate increases with the exponential growth rate of the epidemic curve. We apply our formula to United States, Canada, and Hubei Province, China. Before the lockdown of Wuhan City, the quarantine failure rate in Hubei Province is about 4.1%. If the epidemic curve flattens or slowly decreases, the failure rate is less than 2.8%. The failure rate in US may be as high as 8.3%–11.5% due to a shorter 10-day quarantine period, while the failure rate in Canada may be between 2.5% and 3.9%. A 21-day quarantine period may reduce the failure rate to 0.3%–0.5%. |
format | Online Article Text |
id | pubmed-8299156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82991562021-07-23 Estimating the quarantine failure rate for COVID-19 Li, Meili Yuan, Qianqian Chen, Pian Song, Baojun Ma, Junling Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu Quarantine is a crucial control measure in reducing imported COVID-19 cases and community transmissions. However, some quarantined COVID-19 patients may show symptoms after finishing quarantine due to a long median incubation period, potentially causing community transmissions. To assess the recommended 14-day quarantine policy, we develop a formula to estimate the quarantine failure rate from the incubation period distribution and the epidemic curve. We found that the quarantine failure rate increases with the exponential growth rate of the epidemic curve. We apply our formula to United States, Canada, and Hubei Province, China. Before the lockdown of Wuhan City, the quarantine failure rate in Hubei Province is about 4.1%. If the epidemic curve flattens or slowly decreases, the failure rate is less than 2.8%. The failure rate in US may be as high as 8.3%–11.5% due to a shorter 10-day quarantine period, while the failure rate in Canada may be between 2.5% and 3.9%. A 21-day quarantine period may reduce the failure rate to 0.3%–0.5%. KeAi Publishing 2021-07-23 /pmc/articles/PMC8299156/ /pubmed/34316527 http://dx.doi.org/10.1016/j.idm.2021.07.002 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu Li, Meili Yuan, Qianqian Chen, Pian Song, Baojun Ma, Junling Estimating the quarantine failure rate for COVID-19 |
title | Estimating the quarantine failure rate for COVID-19 |
title_full | Estimating the quarantine failure rate for COVID-19 |
title_fullStr | Estimating the quarantine failure rate for COVID-19 |
title_full_unstemmed | Estimating the quarantine failure rate for COVID-19 |
title_short | Estimating the quarantine failure rate for COVID-19 |
title_sort | estimating the quarantine failure rate for covid-19 |
topic | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299156/ https://www.ncbi.nlm.nih.gov/pubmed/34316527 http://dx.doi.org/10.1016/j.idm.2021.07.002 |
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