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Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan

The outbreak of COVID-19 (coronavirus disease 2019) has become the focus of attention in the field of urban geography. Built environment, such as the layout of public spaces like transportation hubs and urban open spaces, is an important factor affecting the spread of the epidemic. However, due to t...

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Autores principales: Niu, Qiang, Wu, Wanxian, Shen, Jie, Huang, Jiaxin, Zhou, Qiling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307935/
https://www.ncbi.nlm.nih.gov/pubmed/34300014
http://dx.doi.org/10.3390/ijerph18147563
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author Niu, Qiang
Wu, Wanxian
Shen, Jie
Huang, Jiaxin
Zhou, Qiling
author_facet Niu, Qiang
Wu, Wanxian
Shen, Jie
Huang, Jiaxin
Zhou, Qiling
author_sort Niu, Qiang
collection PubMed
description The outbreak of COVID-19 (coronavirus disease 2019) has become the focus of attention in the field of urban geography. Built environment, such as the layout of public spaces like transportation hubs and urban open spaces, is an important factor affecting the spread of the epidemic. However, due to the different behavior patterns of different age groups, the intensity and frequency of their use of various built environment spaces may vary. Based on this, we selected patients that were infected, with a non-manipulated time period, and the classification of human behavior patterns; we then conducted a regression analysis study on the spatial distribution and building environment of these COVID-19 patients. The results showed that the spatial distribution of young and middle-aged patients (18–59 years old) was more homogeneous, while the spatial distribution of elderly patients (60 years old and above) had a strong clustering characteristic. Moreover, the significant built environment factors exhibited in the two populations were extremely different. More diverse urban facilities and public spaces exhibited influential properties for older patients, while middle-aged and young adults were more influenced by commuting facilities. It can be said that the built environment shows different influences and mechanisms on the transmission of respiratory infectious diseases in different populations. Therefore, the results of this paper can inform decision makers who expect to reduce the occurrence of urban respiratory infectious diseases by improving the urban built environment.
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spelling pubmed-83079352021-07-25 Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan Niu, Qiang Wu, Wanxian Shen, Jie Huang, Jiaxin Zhou, Qiling Int J Environ Res Public Health Article The outbreak of COVID-19 (coronavirus disease 2019) has become the focus of attention in the field of urban geography. Built environment, such as the layout of public spaces like transportation hubs and urban open spaces, is an important factor affecting the spread of the epidemic. However, due to the different behavior patterns of different age groups, the intensity and frequency of their use of various built environment spaces may vary. Based on this, we selected patients that were infected, with a non-manipulated time period, and the classification of human behavior patterns; we then conducted a regression analysis study on the spatial distribution and building environment of these COVID-19 patients. The results showed that the spatial distribution of young and middle-aged patients (18–59 years old) was more homogeneous, while the spatial distribution of elderly patients (60 years old and above) had a strong clustering characteristic. Moreover, the significant built environment factors exhibited in the two populations were extremely different. More diverse urban facilities and public spaces exhibited influential properties for older patients, while middle-aged and young adults were more influenced by commuting facilities. It can be said that the built environment shows different influences and mechanisms on the transmission of respiratory infectious diseases in different populations. Therefore, the results of this paper can inform decision makers who expect to reduce the occurrence of urban respiratory infectious diseases by improving the urban built environment. MDPI 2021-07-16 /pmc/articles/PMC8307935/ /pubmed/34300014 http://dx.doi.org/10.3390/ijerph18147563 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Niu, Qiang
Wu, Wanxian
Shen, Jie
Huang, Jiaxin
Zhou, Qiling
Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan
title Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan
title_full Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan
title_fullStr Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan
title_full_unstemmed Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan
title_short Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan
title_sort relationship between built environment and covid-19 dispersal based on age stratification: a case study of wuhan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307935/
https://www.ncbi.nlm.nih.gov/pubmed/34300014
http://dx.doi.org/10.3390/ijerph18147563
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