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Estimation of the potential spread risk of COVID-19: Occurrence assessment along the Yangtze, Han, and Fu River basins in Hubei, China
Given that the novel coronavirus was detected in stool and urine from diagnosed patients, the potential risk of its transmission through the water environment might not be ignored. In the current study, to investigate the spread possibility of COVID-19 via the environmental media, three typical rive...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388013/ https://www.ncbi.nlm.nih.gov/pubmed/32763612 http://dx.doi.org/10.1016/j.scitotenv.2020.141353 |
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author | Yang, Bo Li, Wei Wang, Jingquan Tian, Zixin Cheng, Xin Zhang, Yongli Qiu, Rui Hou, Shuhua Guo, Hongguang |
author_facet | Yang, Bo Li, Wei Wang, Jingquan Tian, Zixin Cheng, Xin Zhang, Yongli Qiu, Rui Hou, Shuhua Guo, Hongguang |
author_sort | Yang, Bo |
collection | PubMed |
description | Given that the novel coronavirus was detected in stool and urine from diagnosed patients, the potential risk of its transmission through the water environment might not be ignored. In the current study, to investigate the spread possibility of COVID-19 via the environmental media, three typical rivers (Yangtze, Han, and Fu River) and watershed cities in Hubei province of China were selected, and a more comprehensive risk assessment analysis method was built with a risk index proposed. Results showed that the risk index in the Yangtze River Basin is about 10(−12), compared to 10(−10) and 10(−8) in the Han and Fu River Basins, and the risk index is gradually reduced from Wuhan city to the surrounding cities. The safety radius and safety time period for the Yangtze, Han, and Fu River are 8 km/14 h, 20 km/30 h and 36 km/36 h, respectively. The linear relationship between the risk potential calculated by the QMRA model and the multiple linear regression proved that the built index model is statistically significant. By comparing the theoretical removal rates for the novel coronavirus, our study proposed an effective method to estimate the potential spread risk of COVID-19 in the typical river basins. |
format | Online Article Text |
id | pubmed-7388013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73880132020-07-29 Estimation of the potential spread risk of COVID-19: Occurrence assessment along the Yangtze, Han, and Fu River basins in Hubei, China Yang, Bo Li, Wei Wang, Jingquan Tian, Zixin Cheng, Xin Zhang, Yongli Qiu, Rui Hou, Shuhua Guo, Hongguang Sci Total Environ Article Given that the novel coronavirus was detected in stool and urine from diagnosed patients, the potential risk of its transmission through the water environment might not be ignored. In the current study, to investigate the spread possibility of COVID-19 via the environmental media, three typical rivers (Yangtze, Han, and Fu River) and watershed cities in Hubei province of China were selected, and a more comprehensive risk assessment analysis method was built with a risk index proposed. Results showed that the risk index in the Yangtze River Basin is about 10(−12), compared to 10(−10) and 10(−8) in the Han and Fu River Basins, and the risk index is gradually reduced from Wuhan city to the surrounding cities. The safety radius and safety time period for the Yangtze, Han, and Fu River are 8 km/14 h, 20 km/30 h and 36 km/36 h, respectively. The linear relationship between the risk potential calculated by the QMRA model and the multiple linear regression proved that the built index model is statistically significant. By comparing the theoretical removal rates for the novel coronavirus, our study proposed an effective method to estimate the potential spread risk of COVID-19 in the typical river basins. Elsevier B.V. 2020-12-01 2020-07-29 /pmc/articles/PMC7388013/ /pubmed/32763612 http://dx.doi.org/10.1016/j.scitotenv.2020.141353 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yang, Bo Li, Wei Wang, Jingquan Tian, Zixin Cheng, Xin Zhang, Yongli Qiu, Rui Hou, Shuhua Guo, Hongguang Estimation of the potential spread risk of COVID-19: Occurrence assessment along the Yangtze, Han, and Fu River basins in Hubei, China |
title | Estimation of the potential spread risk of COVID-19: Occurrence assessment along the Yangtze, Han, and Fu River basins in Hubei, China |
title_full | Estimation of the potential spread risk of COVID-19: Occurrence assessment along the Yangtze, Han, and Fu River basins in Hubei, China |
title_fullStr | Estimation of the potential spread risk of COVID-19: Occurrence assessment along the Yangtze, Han, and Fu River basins in Hubei, China |
title_full_unstemmed | Estimation of the potential spread risk of COVID-19: Occurrence assessment along the Yangtze, Han, and Fu River basins in Hubei, China |
title_short | Estimation of the potential spread risk of COVID-19: Occurrence assessment along the Yangtze, Han, and Fu River basins in Hubei, China |
title_sort | estimation of the potential spread risk of covid-19: occurrence assessment along the yangtze, han, and fu river basins in hubei, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388013/ https://www.ncbi.nlm.nih.gov/pubmed/32763612 http://dx.doi.org/10.1016/j.scitotenv.2020.141353 |
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