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

Author

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  • Qiang Niu

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Wanxian Wu

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Jie Shen

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430072, China)

  • Jiaxin Huang

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430072, China)

  • Qiling Zhou

    (School of Foreign Languages and Cultures, Chongqing University, Chongqing 400044, China)

Abstract

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.

Suggested Citation

  • Qiang Niu & Wanxian Wu & Jie Shen & Jiaxin Huang & Qiling Zhou, 2021. "Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7563-:d:595329
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    Cited by:

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    2. Yong Xu & Chunlan Guo & Jinxin Yang & Zhenjie Yuan & Hung Chak Ho, 2023. "Modelling Impact of High-Rise, High-Density Built Environment on COVID-19 Risks: Empirical Results from a Case Study of Two Chinese Cities," IJERPH, MDPI, vol. 20(2), pages 1-15, January.
    3. Kangwei Tu & Andras Reith, 2023. "Changes in Urban Planning in Response to Pandemics: A Comparative Review from H1N1 to COVID-19 (2009–2022)," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    4. Marija Jevtic & Vlatka Matkovic & Milica Paut Kusturica & Catherine Bouland, 2022. "Build Healthier: Post-COVID-19 Urban Requirements for Healthy and Sustainable Living," Sustainability, MDPI, vol. 14(15), pages 1-21, July.

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