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美国新冠疫情在洪灾季节。

The US COVID-19 pandemic in the flood season.

机构信息

Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, United States of America.

Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, United States of America; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.

出版信息

Sci Total Environ. 2021 Feb 10;755(Pt 2):142634. doi: 10.1016/j.scitotenv.2020.142634. Epub 2020 Oct 1.

DOI:10.1016/j.scitotenv.2020.142634
PMID:33059145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7528819/
Abstract

Flooding displaces large populations each season, which potentially increases the exposure of the vulnerable societies. Having failed to curve down the number of people infected with COVID-19 in the first wave of the pandemic, many states in the United States (U.S.) are now at high risk of the concurrence of the two disasters. Assessing this compound risk before the country enters the flood season is of vital importance. Therefore, we provide a prompt tool to assess the compound risk of COVID-19 at the county level over the U.S. We find that (1) the number of flood insurance house claims can proxy the displaced population accurately with more spatiotemporal detail, and (2) the high-risk areas of both flooding and COVID-19 are concentrated along the southern and eastern coasts and some parts of the Mississippi River. Our findings may trigger the interest of further exploring the topics related to the concurrence of COVID-19 and flooding.

摘要

每个季节都会有大量人口因洪灾而被迫转移,这使得弱势社会群体面临更大的风险。在美国,由于未能控制住第一波疫情感染人数,许多州目前面临着 COVID-19 和洪灾同时发生的高风险。在该国进入洪灾季节之前,评估这种复合型风险至关重要。因此,我们提供了一个快速工具,以评估美国各县 COVID-19 的复合风险。我们发现:(1)洪水保险房屋索赔数量可以更准确地代表受灾人口,并且具有更详细的时空信息;(2)洪水和 COVID-19 的高风险地区集中在美国南部和东部沿海以及密西西比河的一些地区。我们的研究结果可能会引发人们进一步探讨 COVID-19 与洪水同时发生的相关问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/52b40880704a/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/1fa4bdd73de6/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/7ff3bf5bdeb0/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/4cecc7f6e927/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/28c8a0daf44a/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/52b40880704a/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/1fa4bdd73de6/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/7ff3bf5bdeb0/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/4cecc7f6e927/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/28c8a0daf44a/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/7528819/52b40880704a/gr5_lrg.jpg

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