2022
DOI: 10.1016/j.healthplace.2022.102827
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Compact cities and the Covid-19 pandemic: Systematic review of the associations between transmission of Covid-19 or other respiratory viruses and population density or other features of neighbourhood design

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Cited by 24 publications
(15 citation statements)
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“…Figure 4 illustrates the summarised findings among the housing type, COVID-19 infection, mental health and optional shopping or outing trips. While previous studies have suggested the associations between built environments and COVID-19 infection based on summarised data (eg, population density or house density, 31 COVID-19 transmission rate at the zip code scale 16 ), the current study employed large-scale individualised data with stringent control of various confounding factors, such as sex, age and social behaviours. Thus, associations between the housing environment and COVID-19 transmission are supported by stronger scientific evidence, demonstrating the significance and the novelty of the study.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Figure 4 illustrates the summarised findings among the housing type, COVID-19 infection, mental health and optional shopping or outing trips. While previous studies have suggested the associations between built environments and COVID-19 infection based on summarised data (eg, population density or house density, 31 COVID-19 transmission rate at the zip code scale 16 ), the current study employed large-scale individualised data with stringent control of various confounding factors, such as sex, age and social behaviours. Thus, associations between the housing environment and COVID-19 transmission are supported by stronger scientific evidence, demonstrating the significance and the novelty of the study.…”
Section: Discussionmentioning
confidence: 99%
“…Meanwhile, two-bedroom or one-bedroom apartments showed inconsistent and underpowered results in some age groups likely due to lower household occupancy. Although contributions from confounding factors that were not modelled may Open access play a role (eg, population density 17 or spatial crowding 31 at aggregated scales or interactions with visitors and workers 17 ), the possibility of association with the built environment is high due to the stringent controls and reproducibility of the results in the stratified analyses. Concerning mental health, people who are homeless and participants who lived in apartments with shared living spaces were at a higher rate of reporting anxiety than inhabitants in free-standing homes.…”
Section: Discussionmentioning
confidence: 99%
“…They can, for instance, reduce cardiovascular disease and diabetes by providing more opportunities for physical activity and walking, reduce the rate of respiratory diseases if designed properly to integrate green and open spaces, and contribute to the formation of local public spaces and places for formal and informal public interaction (that strengthens social capital) ( Sharifi, 2019b ). Compact cities could also provide positive mental health benefits by lower stress levels from long trips ( Zhang et al, 2022 ). In contrast, a compact city may induce some adverse outcomes, such as increased urban air pollution and limited availability and accessibility to green spaces in high-density areas, leading to fewer outdoor physical and recreational opportunities.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Urban planners and health professionals have explored these concerns at various scales and in different parts of the world (e.g., the United States and China). Researchers have assessed the association between compact city indicators such as population density, building density, residential density, the density of commercial facilities, road density, school density, distance to the city center, mixed land use, green space ratio, and access to services with COVID-19 transmission risks and reported contradictory observations ( Li et al, 2020 ; Mouratidis & Yiannakou, 2022 ; Sharifi & Khavarian-Garmsir, 2020 ; Wang, Wu, et al, 2021 ; Zhang et al, 2022 ).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…These measures increased the economic disparity within and among countries, however, different economicabilities to comply with the measures between high- and low-income individuals are likely related to the risk of COVID-19 infection [ 4 , 6 ]. Crowded and high socioeconomic areas are strongly associated with a higher incidence of COVID-19 [ 7 , 8 ], coupled with severely impacted health systems [ 9 , 10 ].…”
Section: Introductionmentioning
confidence: 99%