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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8307935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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