Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93526
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | en_US |
dc.contributor | Research Institute for Sustainable Urban Development | en_US |
dc.contributor | Department of Health Technology and Informatics | en_US |
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.contributor | Research Institute for Sustainable Urban Development | - |
dc.contributor | Department of Health Technology and Informatics | - |
dc.creator | Kwok, CYT | en_US |
dc.creator | Wong, MS | en_US |
dc.creator | Chan, KL | en_US |
dc.creator | Kwan, MP | en_US |
dc.creator | Nichol, JE | en_US |
dc.creator | Liu, CH | en_US |
dc.creator | Wong, JYH | en_US |
dc.creator | Wai, AKC | en_US |
dc.creator | Chan, LWC | en_US |
dc.creator | Xu, Y | en_US |
dc.creator | Li, H | en_US |
dc.creator | Huang, J | en_US |
dc.creator | Kan, Z | en_US |
dc.date.accessioned | 2022-07-08T01:02:56Z | - |
dc.date.available | 2022-07-08T01:02:56Z | - |
dc.identifier.issn | 0048-9697 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93526 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2020 Elsevier B.V. All rights reserved. | en_US |
dc.rights | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Kwok, C. Y. T., Wong, M. S., Chan, K. L., Kwan, M. P., Nichol, J. E., Liu, C. H., ... & Kan, Z. (2021). Spatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong. Science of the Total Environment, 764, 144455 is available at https://doi.org/10.1016/j.scitotenv.2020.144455 | en_US |
dc.subject | COVID-19 pandemic | en_US |
dc.subject | Socio-demographic characteristics | en_US |
dc.subject | Spatial analysis | en_US |
dc.subject | Urban geometry | en_US |
dc.title | Spatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 764 | en_US |
dc.identifier.doi | 10.1016/j.scitotenv.2020.144455 | en_US |
dcterms.abstract | The 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. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Science of the total environment, 10 Apr. 2021, v. 764, 144455 | en_US |
dcterms.isPartOf | Science of the total environment | en_US |
dcterms.issued | 2021-04-10 | - |
dc.identifier.scopus | 2-s2.0-85099214394 | - |
dc.identifier.pmid | 33418356 | - |
dc.identifier.eissn | 1879-1026 | en_US |
dc.identifier.artn | 144455 | en_US |
dc.description.validate | 202207 bcfc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | LSGI-0039 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | the Research Institute for Sustainable Urban Development, the Hong Kong Polytechnic University; the Research Committee on Research Sustainability of Major RGC Funding Schemes of the Chinese University of Hong Kong | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 42729321 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Kwok_Spatial_Analysis_Impact.pdf | Pre-Published versions | 2.89 MB | Adobe PDF | View/Open |
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