Moghadas Seyed M, Pizzi Nick J, Wu Jianhong, Yan Ping
Institute for Biodiagnostics, National Research Council Canada, Manitoba, Canada.
Influenza Other Respir Viruses. 2009 Mar;3(2):75-9. doi: 10.1111/j.1750-2659.2009.00081.x.
Given the enormity of challenges involved in pandemic preparedness, design and implementation of effective and cost-effective public health policies is a major task that requires an integrated approach through engagement of scientific, administrative, and political communities across disciplines. There is ample evidence to suggest that modeling may be a viable approach to accomplish this task.
To demonstrate the importance of synergism between modelers, public health experts, and policymakers, the University of Winnipeg organized an interdisciplinary workshop on the role of models in pandemic preparedness in September 2008. The workshop provided an excellent opportunity to present outcomes of recent scientific investigations that thoroughly evaluate the merits of preventive, therapeutic, and social distancing mechanisms, where community structures, priority groups, healthcare providers, and responders to emergency situations are given specific consideration.
This interactive workshop was clearly successful in strengthening ties between various disciplines and creating venues for modelers to effectively communicate with policymakers. The importance of modeling in pandemic planning was highlighted, and key parameters that affect policy decision-making were identified. Core assumptions and important activities in Canadian pandemic plans at the provincial and national levels were also discussed.
There will be little time for thoughtful and rapid reflection once an influenza pandemic strikes, and therefore preparedness is an unavoidable priority. Modeling and simulations are key resources in pandemic planning to map out interdependencies and support complex decision-making. Models are most effective in formulating strategies for managing public health crises when there are synergies between modelers, planners, and policymakers.
鉴于大流行防范涉及的挑战巨大,设计和实施有效且具成本效益的公共卫生政策是一项重大任务,需要通过跨学科的科学、行政和政治团体的参与采取综合方法。有充分证据表明建模可能是完成这项任务的可行方法。
为证明建模人员、公共卫生专家和政策制定者之间协同作用的重要性,温尼伯大学于2008年9月组织了一次关于模型在大流行防范中的作用的跨学科研讨会。该研讨会提供了一个绝佳机会,展示近期科学调查的成果,这些调查全面评估了预防、治疗和社交距离机制的优点,其中特别考虑了社区结构、优先群体、医疗保健提供者和应急响应者。
这次互动式研讨会显然成功加强了各学科之间的联系,并为建模人员与政策制定者有效沟通创造了场所。强调了建模在大流行规划中的重要性,并确定了影响政策决策的关键参数。还讨论了加拿大省级和国家级大流行计划中的核心假设和重要活动。
一旦流感大流行爆发,将几乎没有时间进行深思熟虑和快速反思,因此防范是不可避免的优先事项。建模和模拟是大流行规划中的关键资源,用于梳理相互依存关系并支持复杂的决策制定。当建模人员、规划人员和政策制定者之间存在协同作用时,模型在制定公共卫生危机管理策略方面最为有效。