Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review

被引:68
作者
Alidadi, Mehdi [1 ]
Sharifi, Ayyoob [2 ,3 ]
机构
[1] Hiroshima Univ, Grad Sch Engn & Adv Sci, Hiroshima, Japan
[2] Hiroshima Univ, Grad Sch Humanities & Social Sci, Network Educ & Res Peace & Sustainabil NERPS, Hiroshima, Japan
[3] Hiroshima Univ, Ctr Peaceful & Sustainable Futures CEPEAS, Hiroshima, Japan
关键词
COVID-19; Built environment; Non -pharmacological factors; Density; Socio-economic factors; Urban planning; POPULATION-DENSITY; VULNERABILITY; DETERMINANTS; ASSOCIATION; DISPARITIES; SARS-COV-2; MORTALITY;
D O I
10.1016/j.scitotenv.2022.158056
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soon after its emergence, COVID-19 became a global problem. While different types of vaccines and treatments are now available, still non-pharmacological policies play a critical role in managing the pandemic. The literature is enriched enough to provide comprehensive, practical, and scientific insights to better deal with the pandemic. This re-search aims to find out how the built environment and human factors have affected the transmission of COVID-19 on different scales, including country, state, county, city, and urban district. This is done through a systematic literature review of papers indexed on the Web of Science and Scopus. Initially, these databases returned 4264 papers, and after different stages of screening, we found 166 relevant papers and reviewed them. The empirical papers that had at least one case study and analyzed the effects of at least one built environment factor on the spread of COVID-19 were se-lected. Results showed that the driving forces can be divided into seven main categories: density, land use, transpor-tation and mobility, housing conditions, demographic factors, socio-economic factors, and health-related factors. We found that among other things, overcrowding, public transport use, proximity to public spaces, the share of health and services workers, levels of poverty, and the share of minorities and vulnerable populations are major predictors of the spread of the pandemic. As the most studied factor, density was associated with mixed results on different scales, but about 58 % of the papers reported that it is linked with a higher number of cases. This study provides insights for policymakers and academics to better understand the dynamic roles of the non-pharmacological driving forces of COVID-19 at different levels.
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页数:13
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