TY - JOUR
T1 - The effectiveness of the restricted policy on specific venues in Hong Kong
T2 - A spatial point pattern view
AU - Liu, Yijia
AU - Shi, Wenzhong
AU - Zhang, Anshu
AU - Zhu, Xiaosheng
N1 - Funding Information:
This study was supported by the Research Grants Council, HKSAR Government (C5079-21G), the Innovation and Technology Commission, HKSAR Government (ITP/041/21LP), and Otto Poon Charitable Foundation Smart Cities Research Institute, the Hong Kong Polytechnic University (CD03).
Funding Information:
Affected by the coronavirus 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), human society has not yet fully returned to normal. Since the first Funding: This study was supported by the Research Grants Council, case was confirmed on 23 January 2020 in Hong Kong, this area HKSAR Government (C5079-21G), the Innovation and Technology has suffered from five waves of severe outbreaks. World Health Commission, HKSAR Government (ITP/041/21LP), and Otto Poon Organization (WHO) has determined that the mode of transmis-Charitable Foundation Smart Cities Research Institute, the Hong Kong sion includes human close physical contact, long-range airborne Polytechnic University (CD03). and fomite contact (WHO, 2020). All these are more likely to hap-pen in poorly ventilated or crowded indoor settings. As a result, Conflict of interest: The authors declare no conflict of interest. such venues, e.g., restaurants, put people at risk. From March
Publisher Copyright:
© the Author(s), 2022 Licensee PAGEPress, Italy.
PY - 2022/8/29
Y1 - 2022/8/29
N2 - After 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.
AB - After 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.
KW - Hong Kong
KW - policy effectiveness
KW - SARS-CoV-2
KW - spatial point pattern
KW - two-variable Ripley’s K function
UR - http://www.scopus.com/inward/record.url?scp=85143056710&partnerID=8YFLogxK
U2 - 10.4081/gh.2022.1130
DO - 10.4081/gh.2022.1130
M3 - Journal article
C2 - 36468591
AN - SCOPUS:85143056710
SN - 1827-1987
VL - 17
JO - Geospatial health
JF - Geospatial health
IS - 2
M1 - 1130
ER -