TY - CHAP
T1 - The transmission of COVID-19 in construction
T2 - a systematic review of findings from statistical and modelling techniques
AU - Cao, Ruifeng
AU - Cheung, Clara
AU - Yunusa-Kaltungo, Akilu
AU - Manu, Patrick
AU - Liu, Chunxue
AU - Qiao, Qingyao
PY - 2023/9/12
Y1 - 2023/9/12
N2 - 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.
AB - 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.
U2 - 10.1201/9781003278368-3
DO - 10.1201/9781003278368-3
M3 - Chapter
SN - 9781032229157
T3 - Spon Research
SP - 15
EP - 27
BT - Construction Safety, Health and Well-being in the COVID-19 era
A2 - Manu, Patrick
A2 - Cheung, Clara
A2 - Yunusa-Kaltungo, Akilu
A2 - Emuze, Fidelis
A2 - Saurin, Tarcisio Abreu
A2 - Hadikusumo, Bonaventura H. W.
PB - Routledge
CY - Abingdon
ER -