Author: Vitale, Vincenzina; D’Urso, Pierpaolo; De Giovanni, Livia
Title: Spatio-temporal Object-Oriented Bayesian Network modeling of the Covid-19 Italian outbreak data Cord-id: py5l91rc Document date: 2021_7_14
ID: py5l91rc
Snippet: 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 va
Document: 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.
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