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Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city

Respiratory infection is the main route for the transmission of coronavirus pneumonia, and the results have shown that the urban spatial environment significantly influences the risk of infection. Based on the Wells-Riley model of respiratory infection probability, the study determined the human res...

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Autores principales: Li, Sui, Li, Zhe, Dong, Yixin, Shi, Tiemao, Zhou, Shiwen, Chen, Yumeng, Wang, Xun, Qin, Feifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tsinghua University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364280/
https://www.ncbi.nlm.nih.gov/pubmed/35968515
http://dx.doi.org/10.1007/s12273-022-0918-8
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author Li, Sui
Li, Zhe
Dong, Yixin
Shi, Tiemao
Zhou, Shiwen
Chen, Yumeng
Wang, Xun
Qin, Feifei
author_facet Li, Sui
Li, Zhe
Dong, Yixin
Shi, Tiemao
Zhou, Shiwen
Chen, Yumeng
Wang, Xun
Qin, Feifei
author_sort Li, Sui
collection PubMed
description Respiratory infection is the main route for the transmission of coronavirus pneumonia, and the results have shown that the urban spatial environment significantly influences the risk of infection. Based on the Wells-Riley model of respiratory infection probability, the study determined the human respiratory-related parameters and the effective influence range; extracted urban morphological parameters, assessed the ventilation effects of different spatial environments, and, combined with population flow monitoring data, constructed a method for assessing the risk of Covid-19 respiratory infection in urban-scale grid cells. In the empirical study in Shenyang city, a severe cold region, urban morphological parameters, population size, background wind speed, and individual behavior patterns were used to calculate the distribution characteristics of temporal and spatial concomitant risks in urban areas grids under different scenarios. The results showed that the correlation between the risk of respiratory infection in urban public spaces and the above variables was significant. The exposure time had the greatest degree of influence on the probability of respiratory infection risk among the variables. At the same time, the change in human body spacing beyond 1 m had a minor influence on the risk of infection. Among the urban morphological parameters, building height had the highest correlation with the risk of infection, while building density had the lowest correlation. The actual point distribution of the epidemic in Shenyang from March to April 2022 was used to verify the evaluation results. The overlap rate between medium or higher risk areas and actual cases was 78.55%. The planning strategies for epidemic prevention and control were proposed for the spatial differentiation characteristics of different risk elements. The research results can accurately classify the risk level of urban space and provide a scientific basis for the planning response of epidemic prevention and control and the safety of public activities.
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spelling pubmed-93642802022-08-10 Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city Li, Sui Li, Zhe Dong, Yixin Shi, Tiemao Zhou, Shiwen Chen, Yumeng Wang, Xun Qin, Feifei Build Simul Research Article Respiratory infection is the main route for the transmission of coronavirus pneumonia, and the results have shown that the urban spatial environment significantly influences the risk of infection. Based on the Wells-Riley model of respiratory infection probability, the study determined the human respiratory-related parameters and the effective influence range; extracted urban morphological parameters, assessed the ventilation effects of different spatial environments, and, combined with population flow monitoring data, constructed a method for assessing the risk of Covid-19 respiratory infection in urban-scale grid cells. In the empirical study in Shenyang city, a severe cold region, urban morphological parameters, population size, background wind speed, and individual behavior patterns were used to calculate the distribution characteristics of temporal and spatial concomitant risks in urban areas grids under different scenarios. The results showed that the correlation between the risk of respiratory infection in urban public spaces and the above variables was significant. The exposure time had the greatest degree of influence on the probability of respiratory infection risk among the variables. At the same time, the change in human body spacing beyond 1 m had a minor influence on the risk of infection. Among the urban morphological parameters, building height had the highest correlation with the risk of infection, while building density had the lowest correlation. The actual point distribution of the epidemic in Shenyang from March to April 2022 was used to verify the evaluation results. The overlap rate between medium or higher risk areas and actual cases was 78.55%. The planning strategies for epidemic prevention and control were proposed for the spatial differentiation characteristics of different risk elements. The research results can accurately classify the risk level of urban space and provide a scientific basis for the planning response of epidemic prevention and control and the safety of public activities. Tsinghua University Press 2022-08-10 2023 /pmc/articles/PMC9364280/ /pubmed/35968515 http://dx.doi.org/10.1007/s12273-022-0918-8 Text en © Tsinghua University Press 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Li, Sui
Li, Zhe
Dong, Yixin
Shi, Tiemao
Zhou, Shiwen
Chen, Yumeng
Wang, Xun
Qin, Feifei
Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city
title Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city
title_full Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city
title_fullStr Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city
title_full_unstemmed Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city
title_short Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city
title_sort temporal-spatial risk assessment of covid-19 under the influence of urban spatial environmental parameters: the case of shenyang city
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364280/
https://www.ncbi.nlm.nih.gov/pubmed/35968515
http://dx.doi.org/10.1007/s12273-022-0918-8
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