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Updated: Jul 22, 2025

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对贝叶斯空间时空传染病模型的评估,用于前性监测分析

Joanne Kim1, Andrew B Lawson2,3, Brian Neelon2

  • 1Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA. Joanne.Kim@osumc.edu.

BMC medical research methodology
|July 22, 2023
PubMed
概括

贝叶斯传染病监测的时空模型表明,负二项式概率提供了更好的数据,而Poisson概率则提供了有限数据的强大短期预测. 这些发现指导了未来的疫情模型.

关键词:
贝叶斯空间时间分析传染病爆发模拟传染病爆发模型公共卫生监督是对公共卫生的监督.

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