Assessment and Communication of COVID-19 Barrier Effectiveness

COVID-19 屏障有效性的评估和沟通

• 批准号: 554642-2020
• 负责人: Amyotte, Paul
• 金额: $ 3.6万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705330
• 关键词: Assessment; Communication; COVID; 19; Barrier

The current proposal describes a unique partnership among Dalhousie University, Memorial University, and the Nova Scotia Health Authority, which utilizes the research team's significant expertise in hazard analysis and risk assessment and management. Generally speaking, one cannot assess the risk from hazards that have not been thoroughly identified and analyzed. Only then can an effective risk reduction approach be designed to prevent the likelihood of contact with an identified hazard, as well as to mitigate the severity of the consequences arising from unintentional contact. Because not all prevention and mitigation techniques will be of equal effectiveness for a given situation, due consideration to a preferred order of implementation is advisable. Once hazards and health and safety measures have been identified and selected, clear and explicit communication with various at-risk groups is critical in achieving actual reduction of risk to a level deemed tolerable. With respect to the current pandemic, the coronavirus is the hazard of global concern. The risk of contracting COVID-19 is driving unprecedented measures worldwide to prevent contact with the virus and to protect against the potentially severe consequences of infection. Against this background, we are proposing the use of two complementary graphical techniques (bowtie analysis and Bayesian network analysis) as well as a systems modeling approach. Research objectives are to identify virus threats and likelihood of infection, evaluate the prevention and mitigation measures (or barriers) currently in place, and explore whether additional measures based on a hierarchical framework might be helpful for specific groups such as healthcare workers (among others). Additional research goals consist of efficient and straightforward communication of the project findings, and provision of guidance for making risk-based decisions on the selection of the most effective safety measures (barriers) for various scenarios. The proposed project therefore has significant potential to aid both the technical science and the social communication aspects of COVID-19 research.

目前的提案描述了达尔豪西大学、纪念大学和新斯科舍省卫生局之间的独特伙伴关系，该伙伴关系利用了研究小组在危害分析、风险评估和管理方面的重要专业知识。一般来说，人们无法评估未被彻底识别和分析的危害的风险。只有这样，才能设计出有效的风险减少方法，以防止与已确定的危险接触的可能性，并减轻无意接触造成的后果的严重性。由于并非所有的预防和缓解技术在特定情况下都具有同等效力，因此最好适当考虑一个优先的实施顺序。一旦确定和选择了危害和健康与安全措施，与各种风险群体进行明确和明确的沟通对于将风险实际降低到可容忍的水平至关重要。 就目前的大流行而言，冠状病毒是全球关注的危害。感染COVID-19的风险正在推动全球采取前所未有的措施，以防止接触病毒并防止感染的潜在严重后果。在此背景下，我们提出使用两个互补的图形技术（领结分析和贝叶斯网络分析）以及系统建模方法。研究目标是确定病毒威胁和感染的可能性，评估目前采取的预防和缓解措施（或障碍），并探索基于分层框架的其他措施是否对特定群体（如医疗工作者）有帮助。其他研究目标包括项目结果的有效和直接的沟通，并提供指导，为各种情况下选择最有效的安全措施（障碍）做出基于风险的决策。因此，拟议项目具有重大潜力，可帮助COVID-19研究的技术科学和社会传播方面。