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Bayesian Spatio-Temporal Prediction and Counterfactual Generation: An Application in Non-Pharmaceutical Interventions in COVID-19

The spatio-temporal course of an epidemic (such as COVID-19) can be significantly affected by non-pharmaceutical interventions (NPIs) such as full or partial lockdowns. Bayesian Susceptible-Infected-Removed (SIR) models can be applied to the spatio-temporal spread of infectious diseases (STIFs) (suc...

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Principais autores: Andrew Lawson, Chawarat Rotejanaprasert
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-01-01
Serier:Viruses
Fag:
Bayesian
counterfactual
causal
nowcasting
spatio-temporal
prediction
Online adgang:https://www.mdpi.com/1999-4915/15/2/325
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