A Bayesian Model of COVID-19 Cases Based on the Gompertz Curve

A Bayesian Model of COVID-19 Cases Based on the Gompertz Curve

The COVID-19 pandemic has highlighted the need for finding mathematical models to forecast the evolution of the contagious disease and evaluate the success of particular policies in reducing infections. In this work, we perform Bayesian inference for a non-homogeneous Poisson process with an intensi...

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Bibliographic Details
Main Authors: Ángel Berihuete, Marta Sánchez-Sánchez, Alfonso Suárez-Llorens
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Mathematics
Subjects:
Bayesian inference
modeling epidemics
non-homogeneous poisson process
Gompertz curve
inverse Gaussian
Online Access:https://www.mdpi.com/2227-7390/9/3/228

Internet

https://www.mdpi.com/2227-7390/9/3/228

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