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Article: Spatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong

TitleSpatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong
Authors
KeywordsCOVID-19 pandemic
Spatial analysis
Urban geometry
Socio-demographic characteristics
Issue Date2021
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/scitotenv
Citation
Science of the Total Environment, 2021, v. 764, p. article no. 144455 How to Cite?
AbstractThe World Health Organization considered the wide spread of COVID-19 over the world as a pandemic. There is still a lack of understanding of its origin, transmission, and treatment methods. Understanding the influencing factors of COVID-19 can help mitigate its spread, but little research on the spatial factors has been conducted. Therefore, this study explores the effects of urban geometry and socio-demographic factors on the COVID-19 cases in Hong Kong. For each patient, the places they visited during the incubation period before going to hospital were identified, and matched with corresponding attributes of urban geometry (i.e., building geometry, road network and greenspace) and socio-demographic factors (i.e., demographic, educational, economic, household and housing characteristics) based on the coordinates. The local cases were then compared with the imported cases using stepwise logistic regression, logistic regression with case-control of time, and least absolute shrinkage and selection operator regression to identify factors influencing local disease transmission. Results show that the building geometry, road network and certain socio-economic characteristics are significantly associated with COVID-19 cases. In addition, the results indicate that urban geometry is playing a more important role than socio-demographic characteristics in affecting COVID-19 incidence. These findings provide a useful reference to the government and the general public as to the spatial vulnerability of COVID-19 transmission and to take appropriate preventive measures in high-risk areas.
Persistent Identifierhttp://hdl.handle.net/10722/295328
ISSN
2023 Impact Factor: 8.2
2023 SCImago Journal Rankings: 1.998
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKwok, CYT-
dc.contributor.authorWong, MS-
dc.contributor.authorChan, KL-
dc.contributor.authorKwan, MP-
dc.contributor.authorNichol, JE-
dc.contributor.authorLiu, CH-
dc.contributor.authorWong, JYH-
dc.contributor.authorWai, AKC-
dc.contributor.authorChan, LWC-
dc.contributor.authorXu, Y-
dc.contributor.authorLi, H-
dc.contributor.authorHuang, J-
dc.contributor.authorKan, Z-
dc.date.accessioned2021-01-11T13:58:33Z-
dc.date.available2021-01-11T13:58:33Z-
dc.date.issued2021-
dc.identifier.citationScience of the Total Environment, 2021, v. 764, p. article no. 144455-
dc.identifier.issn0048-9697-
dc.identifier.urihttp://hdl.handle.net/10722/295328-
dc.description.abstractThe World Health Organization considered the wide spread of COVID-19 over the world as a pandemic. There is still a lack of understanding of its origin, transmission, and treatment methods. Understanding the influencing factors of COVID-19 can help mitigate its spread, but little research on the spatial factors has been conducted. Therefore, this study explores the effects of urban geometry and socio-demographic factors on the COVID-19 cases in Hong Kong. For each patient, the places they visited during the incubation period before going to hospital were identified, and matched with corresponding attributes of urban geometry (i.e., building geometry, road network and greenspace) and socio-demographic factors (i.e., demographic, educational, economic, household and housing characteristics) based on the coordinates. The local cases were then compared with the imported cases using stepwise logistic regression, logistic regression with case-control of time, and least absolute shrinkage and selection operator regression to identify factors influencing local disease transmission. Results show that the building geometry, road network and certain socio-economic characteristics are significantly associated with COVID-19 cases. In addition, the results indicate that urban geometry is playing a more important role than socio-demographic characteristics in affecting COVID-19 incidence. These findings provide a useful reference to the government and the general public as to the spatial vulnerability of COVID-19 transmission and to take appropriate preventive measures in high-risk areas.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/scitotenv-
dc.relation.ispartofScience of the Total Environment-
dc.subjectCOVID-19 pandemic-
dc.subjectSpatial analysis-
dc.subjectUrban geometry-
dc.subjectSocio-demographic characteristics-
dc.titleSpatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong-
dc.typeArticle-
dc.identifier.emailLiu, CH: chliu@hkucc.hku.hk-
dc.identifier.emailWong, JYH: janetyh@hku.hk-
dc.identifier.emailWai, AKC: awai@hku.hk-
dc.identifier.authorityLiu, CH=rp00152-
dc.identifier.authorityWong, JYH=rp01561-
dc.identifier.authorityWai, AKC=rp02261-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1016/j.scitotenv.2020.144455-
dc.identifier.pmid33418356-
dc.identifier.pmcidPMC7738937-
dc.identifier.scopuseid_2-s2.0-85099214394-
dc.identifier.hkuros320881-
dc.identifier.volume764-
dc.identifier.spagearticle no. 144455-
dc.identifier.epagearticle no. 144455-
dc.identifier.isiWOS:000614249600145-
dc.publisher.placeNetherlands-

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