Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100468
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorLiu, Yen_US
dc.creatorShi, Wen_US
dc.creatorZhang, Aen_US
dc.creatorZhu, Xen_US
dc.date.accessioned2023-08-11T03:06:06Z-
dc.date.available2023-08-11T03:06:06Z-
dc.identifier.issn1827-1987en_US
dc.identifier.urihttp://hdl.handle.net/10397/100468-
dc.language.isoenen_US
dc.publisherPage Press Publicationsen_US
dc.rights©Copyright: the Author(s), 2022. Licensee PAGEPress, Italyen_US
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, pro-vided the original author(s) and source are crediteden_US
dc.rightsThe following publication Liu, Y., Shi, W., Zhang, A., & Zhu, X. (2022). The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view. Geospatial Health, 17(2), 1130 is available at https://doi.org/10.4081/gh.2022.1130.en_US
dc.subjectSARS-CoV-2en_US
dc.subjectSpatial point patternen_US
dc.subjectTwo-variable Ripley’s K functionen_US
dc.subjectPolicy effectivenessen_US
dc.subjectHong Kongen_US
dc.titleThe effectiveness of the restricted policy on specific venues in Hong Kong : a spatial point pattern viewen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume17en_US
dc.identifier.issue2en_US
dc.identifier.doi10.4081/gh.2022.1130en_US
dcterms.abstractAfter the fifth wave of the COVID-19 outbreak in May 2022, the Hong Kong government decided to ease the restrictions policy step by step. The main change was to re-open some venues that people like to visit and extend the hours of operation. With the implementation of the relaxed policy, however, the number of confirmed cases rose again. As a result, further relaxation was delayed. As an evaluation of the effectiveness of the restrictions policy could be a reference for future policies balancing viral spread and functionality of society, this paper aimed to respond to this question from the spatial point distribution view. The time, from late March 2020 to February 2021, during which the related policies took place was divided into six periods based on the policy trend (tightening or relaxing). The two-variable Ripley’s K-function was applied for each period to explore the spatial depen-dence between confirmed cases and venues as changes in the spatial pattern can reveal the effect of the policy. The results show that, as time passed, the clustering degree decreased and reached its lowest level from August to mid-November 2020, then signifi-cantly increased, with the extent of clustering becoming more remarkable and the significant cluster size widening. Our results indicate that the policy had a positive effect on suppressing the spread of the virus in mid-July 2020. Then, with the virus infiltrat-ing the community, the policy had little impact on containing the virus but likely contributed to avoid further infection.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationGeospatial health, 29 Aug. 2022, v. 17, no. 2, 1130en_US
dcterms.isPartOfGeospatial healthen_US
dcterms.issued2022-08-29-
dc.identifier.scopus2-s2.0-85143056710-
dc.identifier.pmid36468591-
dc.identifier.eissn1970-7096en_US
dc.identifier.artn1130en_US
dc.description.validate202308 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextOtto Poon Charitable Foundation Smart Cities Research Institute; Innovation and Technology Commission; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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