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Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan
The COVID-19 pandemic has brought huge challenges to sustainable urban and community development. Although some recovery signals and patterns have been uncovered, the intra-city recovery process remains underexploited. This study proposes a comprehensive approach to quantify COVID-19 recovery levera...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659556/ https://www.ncbi.nlm.nih.gov/pubmed/36407935 http://dx.doi.org/10.1016/j.cities.2022.104104 |
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author | Liu, Xiaoyan Yang, Saini Huang, Xiao An, Rui Xiong, Qiangqiang Ye, Tao |
author_facet | Liu, Xiaoyan Yang, Saini Huang, Xiao An, Rui Xiong, Qiangqiang Ye, Tao |
author_sort | Liu, Xiaoyan |
collection | PubMed |
description | The COVID-19 pandemic has brought huge challenges to sustainable urban and community development. Although some recovery signals and patterns have been uncovered, the intra-city recovery process remains underexploited. This study proposes a comprehensive approach to quantify COVID-19 recovery leveraging fine-grained human mobility records. Taking Wuhan, a typical COVID-19 affected megacity in China, as the study area, we identify accurate recovery phases and select appropriate recovery functions in a data-driven manner. We observe that recovery characteristics regarding duration, amplitude, and velocity exhibit notable differences among urban blocks. We also notice that the recovery process under a one-wave outbreak lasts at least 84 days and has an S-shaped form best fitted with four-parameter Logistic functions. More than half of the recovery variance can be well explained and estimated by common variables from auxiliary data, including population, economic level, and built environments. Our study serves as a valuable reference that supports data-driven recovery quantification for COVID-19 and other crises. |
format | Online Article Text |
id | pubmed-9659556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96595562022-11-14 Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan Liu, Xiaoyan Yang, Saini Huang, Xiao An, Rui Xiong, Qiangqiang Ye, Tao Cities Article The COVID-19 pandemic has brought huge challenges to sustainable urban and community development. Although some recovery signals and patterns have been uncovered, the intra-city recovery process remains underexploited. This study proposes a comprehensive approach to quantify COVID-19 recovery leveraging fine-grained human mobility records. Taking Wuhan, a typical COVID-19 affected megacity in China, as the study area, we identify accurate recovery phases and select appropriate recovery functions in a data-driven manner. We observe that recovery characteristics regarding duration, amplitude, and velocity exhibit notable differences among urban blocks. We also notice that the recovery process under a one-wave outbreak lasts at least 84 days and has an S-shaped form best fitted with four-parameter Logistic functions. More than half of the recovery variance can be well explained and estimated by common variables from auxiliary data, including population, economic level, and built environments. Our study serves as a valuable reference that supports data-driven recovery quantification for COVID-19 and other crises. The Authors. Published by Elsevier Ltd. 2023-01 2022-11-14 /pmc/articles/PMC9659556/ /pubmed/36407935 http://dx.doi.org/10.1016/j.cities.2022.104104 Text en © 2022 The Authors 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 Liu, Xiaoyan Yang, Saini Huang, Xiao An, Rui Xiong, Qiangqiang Ye, Tao Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan |
title | Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan |
title_full | Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan |
title_fullStr | Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan |
title_full_unstemmed | Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan |
title_short | Quantifying COVID-19 recovery process from a human mobility perspective: An intra-city study in Wuhan |
title_sort | quantifying covid-19 recovery process from a human mobility perspective: an intra-city study in wuhan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659556/ https://www.ncbi.nlm.nih.gov/pubmed/36407935 http://dx.doi.org/10.1016/j.cities.2022.104104 |
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