沟通建模的视觉偏好:对COVID-19政策和决策者的全球分析
Liza Hadley1,2, Caylyn Rich3, Alex Tasker4
1Disease Dynamics Unit, University of Cambridge, Cambridge, UK.
Infectious Disease Modelling
|May 20, 2025
概括
在危机期间,有效地向政策制定者传染病建模的沟通至关重要. 这项研究综合了对视觉和图形的建议,以最好地支持COVID-19政策决策.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 数据可视化 数据可视化
背景情况:
- 在危机期间向政策制定者传递复杂的科学信息,特别是传染病建模,这给政策制定者带来了重大挑战.
- 模拟证据固有的不确定性进一步使有效的科学与政策沟通复杂化.
- 已经确定了将科学模型转化为可行的政策的研究不足的方面.
研究的目的:
- 为国家COVID-19政策和决策者评估传染病建模结果的沟通和可视化策略.
- 为政策制定者对COVID-19应对工作提供有用视觉元素的综合建议.
- 建立一个证据基础,以制定有关传染病的指导方针,为政策制定传播模式.
主要方法:
- 对传染病建模的沟通实践进行跨国评估.
- 对13个国家的政策制定者关于可视化有效性的反进行了定性综合.
- 分析各种通信格式,包括视觉图像,图表和图表.
主要成果:
- 识别了视觉,图表和情节的关键方面,这些对决策者来说最有益.
- 根据决策者报告的需求和偏好,综合了一系列建议.
- 强调了针对不同政策环境量身定制的沟通的重要性.
结论:
- 传染病建模的有效沟通需要仔细考虑与政策需求相适应的视觉呈现.
- 这项研究为创建科学转化为政策的最佳实践指南提供了基础证据.
- 改进的沟通策略可以加强在公共卫生危机响应中利用建模证据.
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