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Updated: Jul 8, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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一个数据驱动的流行病模型,包括人类流动性和疫苗接种保护,用于COVID-19预测

Ruqi Li1, Yurong Song2, Hongbo Qu1

  • 1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

Journal of biomedical informatics
|December 13, 2023
PubMed
概括

这项研究引入了一种数据驱动的流行病学模型,使用物理信息神经网络 (PINNs) 来预测流行病动态. 该模型准确预测COVID-19趋势,并推断未观察到的数据,有助于评估缓解策略.

关键词:
数据驱动的流行病模型.人类流动性 人类流动性基于物理学的神经网络.接种疫苗可以提供保护.

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