Adaptive Time-Dependent Priors and Bayesian Inference to Evaluate SARS-CoV-2 Public Health Measures Validated on 31 Countries

Adaptive Time-Dependent Priors and Bayesian Inference to Evaluate SARS-CoV-2 Public Health Measures Validated on 31 Countries

With the rapid spread of the SARS-CoV-2 virus since the end of 2019, public health confinement measures to contain the propagation of the pandemic have been implemented. Our method to estimate the reproduction number using Bayesian inference with time-dependent priors enhances previous approaches by...

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Bibliographic Details
Main Authors: Hugues Turbé, Mina Bjelogrlic, Arnaud Robert, Christophe Gaudet-Blavignac, Jean-Philippe Goldman, Christian Lovis
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Public Health
Subjects:
infectious diseases
reproductive number estimation
non-pharmaceutical interventions
Bayesian inference (BI)
health sciences
epidemiology
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2020.583401/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2020.583401/full

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