Technical Papers
Oct 20, 2022

Uncovering Construction Site–Specific Transmission Patterns of COVID-19: A Spatiotemporal Connectivity Analysis in Hong Kong

Publication: Journal of Management in Engineering
Volume 39, Issue 1

Abstract

To adapt to the prolonged pandemic, the construction industry, which has a high vulnerability to coronavirus disease 2019 (COVID-19) infection, has sought more sector-specific and individual-level nonpharmaceutical interventions (NPIs). Understanding infection transmission patterns can determine what, when, and how NPIs should be implemented. This study examined infection transmission proceeding from construction sites using spatiotemporal analysis with COVID-19 case cluster data from construction sites in Hong Kong. The study revealed that COVID-19 transmission diffuses from the workplace to residential neighborhoods where infected construction workers live but not to the surroundings of infected construction sites. The average number of offspring cases infected by each seed case in the first to fifth transmission generations were 7.8, 26.1, 10.6, 3.6, and 1.3, respectively. Around 18% of cases were responsible for 79.6% of all COVID-19 transmission, driven mainly by workplace and household settings. The study found that closing a workplace within two working days after a primary case is identified can help reduce the attack rate by 5.33%. Encouraging household members of infected construction workers to follow quarantines can reduce offspring cases by 15.84% on average. A priori identification of superspreaders can help remove half of COVID-19 cases.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 39Issue 1January 2023

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Received: Dec 23, 2021
Accepted: Aug 16, 2022
Published online: Oct 20, 2022
Published in print: Jan 1, 2023
Discussion open until: Mar 20, 2023

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Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., 181 Chatham Rd. South, Kowloon, Hong Kong. ORCID: https://orcid.org/0000-0003-0599-1694. Email: [email protected]
Ph.D. Candidate, School of Public Health and Primary Care, Chinese Univ. of Hong Kong, Shatin, Hong Kong. Email: [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., 181 Chatham Rd. South, Kowloon, Hong Kong (corresponding author). ORCID: https://orcid.org/0000-0002-7232-9839. Email: [email protected]
Senior Lecturer, School of Mechanical, Aerospace, and Civil Engineering, Univ. of Manchester, Pariser Bldg., Manchester M1 7JR, UK. ORCID: https://orcid.org/0000-0002-8996-7351. Email: [email protected]

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  • Identifying Potential Superspreaders of Airborne Infectious Diseases in Construction Projects, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-5497, 39, 6, (2023).

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