2021
DOI: 10.1016/j.scs.2020.102685
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Built environment and early infection of COVID-19 in urban districts: A case study of Huangzhou

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Cited by 108 publications
(101 citation statements)
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“…Eleven out of 13 studies (84.6%) reported positive associations. One plausible explanation is that people who lived in neighbourhoods with more commercial destinations and services are more likely to use these facilities [ 21 , 59 , 60 ], therefore their risk of exposure to the virus increased [ 30 , 38 ]. Besides, in some recreation and service facilities, such as restaurants, hotels, and bars, people tend to take off their masks to talk, drink, and dine [ 38 ].…”
Section: Discussionmentioning
confidence: 99%
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“…Eleven out of 13 studies (84.6%) reported positive associations. One plausible explanation is that people who lived in neighbourhoods with more commercial destinations and services are more likely to use these facilities [ 21 , 59 , 60 ], therefore their risk of exposure to the virus increased [ 30 , 38 ]. Besides, in some recreation and service facilities, such as restaurants, hotels, and bars, people tend to take off their masks to talk, drink, and dine [ 38 ].…”
Section: Discussionmentioning
confidence: 99%
“…The authors argued that patients can be scattered when there are more hospitals in one area, which may reduce the risk of transmission. Four studies found no significant relationship between hospital density and COVID-19 incidence [ 30 , 31 , 32 ]. Overall, the inconsistent evidence from these studies indicated that the effect of hospital density on COVID-19 is confounded by other factors, such as the health conditions of residents.…”
Section: Discussionmentioning
confidence: 99%
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“… 1 Only few papers to date examined spatial heterogeneity in COVID-19 spread and mortality ( Sannigrahi, Pilla, Basu, Basu, & Molter, 2020 ; Li, Ma, & Zhang, 2021 ; Mansour et al, 2021 ). Using spatial models, Li et al 2021 and Mansour et al, 2021 focused on the sociodemographic determinants of COVID-19 spread/infection in China and Oman, respectively.…”
mentioning
confidence: 99%
“…Al mismo tiempo, en la literatura internacional de los últimos seis meses es posible observar la relación entre el contagio por COVID-19 y diferentes condiciones urbanas y socioeconómicas, también desde una perspectiva caracterizada fuertemente por la desigualdad. Entre éstas, se pueden mencionar: características demográficas de edad, origen étnico u ocupación para el caso de Estados Unidos (Andersen et al, 2021), la infraestructura de transporte en el distrito urbano de Huangzhon, cercano a Wuhan (Li et al, 2021), la geometría urbana y la ocupación en Hong Kong (Kwok et al, 2021); las condiciones de vivienda y acceso a servicios sanitarios en India (Das et al, 2021); el porcentaje de viviendas bajo condiciones de hacinamiento y la tasa de mortalidad infantil, para las capitales regionales de Brasil (Dayrell et al, 2020) y la densidad poblacional para el caso específico de São Paulo (Nakada & Urban, 2020); también el hacinamiento (y no la densidad), junto con el tamaño de las viviendas para la ciudad de Nueva York (Hamidi & Hamidi, 2021); la población mayor de 65 años y finalmente, (en este caso sí) la densidad urbana en Omán (Mansour et al, 2021…”
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