The transmission of COVID-19 in construction: a systematic review of findings from statistical and modelling techniques

Ruifeng Cao, Clara Cheung, Akilu Yunusa-Kaltungo, Patrick Manu, Chunxue Liu, Qingyao Qiao

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The COVID-19 outbreak experienced in late 2019 continues to impact work patterns significantly. The construction sector has been severely affected because of the labour-intensiveness of typical construction sites. Recent studies, particularly in epidemiology, have shown how different modelling techniques can predict the spread of COVID-19. However, the approach for selecting the most appropriate modelling method for workers’ health and safety in the construction industry against COVID-19 is still unclear. This study aims to develop an awareness of how the construction industry could use the simulation and modelling techniques to manage the transmission risks at construction sites. A systematic literature review based on the PRISMA guidelines has been conducted focusing on modelling applications in the spread of COVID-19 in construction, with specific interest in the modelling purposes and limitations to guide researchers to select appropriate modelling techniques. Research identified five commonly used simulation and modelling techniques in construction industry for COVID-19 transmission: 1) SIR/SEIR modelling, 2) Agent-based modelling, 3) Statistical modelling, 4) Building information modelling, and 5) Artificial Intelligence approach. Nineteen relevant articles were included in the detailed review based on criteria, and a comprehensive comparison of these five modelling techniques was produced. The review reveals that each of these techniques have their unique characteristics/strengths that make them useful for modelling COVID-19 transmission risk in construction under various scenarios or stages of the pandemic.
Original languageEnglish
Title of host publicationConstruction Safety, Health and Well-being in the COVID-19 era
EditorsPatrick Manu, Clara Cheung, Akilu Yunusa-Kaltungo, Fidelis Emuze, Tarcisio Abreu Saurin, Bonaventura H. W. Hadikusumo
Place of PublicationAbingdon
PublisherRoutledge
Chapter2
Pages15-27
Number of pages13
ISBN (Electronic)9781003278368
ISBN (Print)9781032229157
DOIs
Publication statusPublished - 12 Sept 2023

Publication series

NameSpon Research
PublisherRoutledge
ISSN (Print)1940-7653
ISSN (Electronic)1940-8005

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