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Spatio-temporal Object-Oriented Bayesian Network modeling of the Covid-19 Italian outbreak data
Spatial Statistics ( IF 2.3 ) Pub Date : 2021-07-14 , DOI: 10.1016/j.spasta.2021.100529
Vincenzina Vitale 1 , Pierpaolo D'Urso 1 , Livia De Giovanni 2
Affiliation  

The spatial epidemic dynamics of Covid-19 outbreak in Italy were modelled by means of an Object-Oriented Bayesian Network in order to explore the dependence relationships, in a static and a dynamic way, among the weekly incidence rate, the intensive care units occupancy rate and that of deaths. Following an autoregressive approach, both spatial and time components have been embedded in the model by means of spatial and time lagged variables. The model could be a valid instrument to support or validate policy makers’ decisions strategies.



中文翻译:

Covid-19意大利爆发数据的时空面向对象贝叶斯网络建模

通过面向对象的贝叶斯网络对意大利 Covid-19 疫情的空间流行动态进行建模,以静态和动态的方式探索每周发病率、重症监护病房入住率之间的依赖关系和死亡。遵循自回归方法,空间和时间分量都通过空间和时间滞后变量嵌入到模型中。该模型可以成为支持或验证决策者决策策略的有效工具。

更新日期:2021-07-14
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