We introduce a trans-disciplinary collaboration between researchers, healthcare practitioners, and community health partners in the Southwestern U.S. to enable improved management, response, and recovery to our current pandemic and for future health emergencies. Our Center work enables effective and efficient decision-making through interactive, human-guided analytical environments. We discuss our PanViz 2.0 system, a visual analytics application for supporting pandemic preparedness through a tightly coupled epidemiological model and interactive interface. We discuss our framework, current work, and plans to extend the system with exploration of what-if scenarios, interactive machine learning for model parameter inference, and analysis of mitigation strategies to facilitate decision-making during public health crises.

中文翻译：

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大流行期间决策的可视化分析

我们在美国西南部的研究人员、医疗保健从业者和社区卫生合作伙伴之间引入了跨学科合作，以改善对当前流行病和未来突发卫生事件的管理、响应和恢复。我们的中心工作通过交互式、人工指导的分析环境实现有效和高效的决策。我们讨论了我们的 PanViz 2.0 系统，这是一个可视化分析应用程序，用于通过紧密耦合的流行病学模型和交互式界面来支持大流行的防范。我们讨论了我们的框架、当前工作以及扩展系统的计划，包括探索假设情景、用于模型参数推断的交互式机器学习以及分析缓解策略以促进公共卫生危机期间的决策。