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Enhancing resilience in construction against infectious diseases using stochastic multi-agent approach.

Authors:
Nima Gerami Seresht

Autom Constr 2022 Aug 11;140:104315. Epub 2022 May 11.

Department of Mechanical and Construction Engineering, Northumbria University, Newcastle Upon Tyne NE1 8ST, United Kingdom.

To recover from the adverse impacts of COVID-19 on construction and to avoid further losses to the industry in future pandemics, the resilience of construction industry needs to be enhanced against infectious diseases. Currently, there is a gap for modelling frameworks to simulate the spread of infectious diseases in construction projects at micro-level and to test interventions' effectiveness for data-informed decision-making. Here, this gap is addressed by developing a simulation framework using stochastic agent-based modelling, which enables construction researchers and practitioners to simulate and limit the spread of infectious diseases in construction projects. This is specifically important, since the results of a building project case-study reveals that, in comparison to the general population, infectious diseases may spread faster among construction workers and fatalities can be significantly higher. The proposed framework motivates future research on micro-level modelling of infectious diseases and efforts for intervening the spread of diseases in construction projects.

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http://dx.doi.org/10.1016/j.autcon.2022.104315DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091540PMC
August 2022

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