协调与中心宇宙合作的传染病建模项目
, Melissa Kerr1, Rebecca Borchering2
1University of Massachusetts Amherst, Amherst, MA, USA.
medRxiv : the preprint server for health sciences
|November 24, 2025
概括
协作建模中心可以提高预测可靠性. 该中心提供开源工具和标准,以简化各个领域的中心创建和运营,包括传染病预测.
科学领域:
- 计算科学是一种计算科学.
- 流行病学 流行病学
- 数据科学是数据科学.
背景情况:
- 决策者需要可靠的预测来应对威胁.
- 协作建模可以提高预测的相关性,透明度和稳定性.
- 集中式数据门户 (中心) 便于协作建模.
研究的目的:
- 介绍Hubverse,一个开源的标准和软件套件.
- 简化协作建模中心的创建和运行.
- 启用用于验证,聚合,可视化,评估和传达模型输出的共同工具.
主要方法:
- 开发了文件结构和模型输出的开源标准.
- 创建软件工具来支持枢纽运营.
- 促进了跨多个中心的共同工具的使用.
主要成果:
- 集线器实现了标准化的数据处理和分析.
- 全球近二十多个建模中心都在使用Hubverse.
- 支持主要公共卫生组织的传染病建模工作.
结论:
- 枢纽宇宙促进可复制和透明的协作建模.
- 它增强了模拟中心对各种应用的实用性.
- 促进全球在科学预测和预测方面的合作.
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