Mechanics and Civil Engineering's Laboratory, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco. ORCID: https://orcid.org/0000-0002-6892-116X.
Mechanics and Civil Engineering's Laboratory, Faculty of Sciences and Techniques, Abdelmalek Essaadi University, Tangier, Morocco.
J Emerg Manag. 2021;18(7):161-176. doi: 10.5055/jem.0539.
The coronavirus COVID-19 pandemic is the worst health crisis of our time and the greatest challenge we are facing since World War II. It has caused a negative impact on engineering and construction industry, and huge uncertainty about the ability to anticipate a planned recovery for the industry. Waiting for an effective recovery that may take a long time, science has to provide solutions to coexist with this virus and resume the work on construction sites. In fact, it is not the first time that health and safety science deals with such a risk of infection, as many guidelines treat the manner to reduce the risk of infection to at-risk employees in construction, renovation, installation, and maintenance activities. This article aims to perform an infection risk analysis, taking into consideration COVID-19 particularities, and to identify control measures to ensure COVID-19 infection prevention and management on site. The study will be based on a probabilistic approach using the Fault Tree Analysis method.
冠状病毒 COVID-19 大流行是我们这个时代最严重的健康危机,也是自第二次世界大战以来我们面临的最大挑战。它对工程和建筑行业造成了负面影响,并对行业预期的恢复能力产生了巨大的不确定性。在等待可能需要很长时间的有效复苏的同时,科学必须提供解决方案,以与这种病毒共存并恢复建筑工地的工作。事实上,这并不是健康和安全科学第一次应对这种感染风险,因为许多指南都针对如何降低建筑、翻新、安装和维护活动中高危员工的感染风险。本文旨在进行感染风险分析,考虑到 COVID-19 的特殊性,并确定控制措施,以确保现场 COVID-19 的预防和管理。该研究将基于使用故障树分析方法的概率方法。