用于疫情检测评估的模板驱动时空疫情模拟
Template-driven spatial-temporal outbreak simulation for outbreak detection evaluation.
作者信息
Zhang Min, Wallstrom Garrick L
机构信息
Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
出版信息
AMIA Annu Symp Proc. 2008 Nov 6;2008:854-8.
We developed a non-disease specific template-driven spatial-temporal outbreak simulator for evaluating outbreak detection algorithms. With only a few outbreak parameter settings, our simulator can generate different patterns of outbreak cases either temporally or spatial-temporally using three different generation algorithms: deterministic, independent, Poisson process. Our simulator is flexible, easy to implement and provides case event times rather than aggregated counts. We provide examples of outbreak simulations using linear template functions. Our Template-Driven Simulator is a useful tool for evaluating of outbreak detection algorithms.
我们开发了一种用于评估疫情检测算法的非疾病特异性模板驱动的时空疫情模拟器。只需设置少量疫情参数，我们的模拟器就能使用三种不同的生成算法（确定性算法、独立算法、泊松过程）在时间上或时空上生成不同模式的疫情病例。我们的模拟器灵活、易于实现，并且提供病例事件时间而非汇总计数。我们提供了使用线性模板函数进行疫情模拟的示例。我们的模板驱动模拟器是评估疫情检测算法的有用工具。
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