A Bayesian nonparametric method for detecting rapid changes in disease transmission

DOI10.1016/j.jtbi.2022.111351zbMath1504.92125OpenAlexW4309047383MaRDI QIDQ2109324

Kris V. Parag, Chon Lok Lei, Richard Creswell, Martin Robinson, Ben Lambert, David J. Gavaghan

Publication date: 20 December 2022

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2022.111351

zbMATH Keywords

outbreaksBayesian nonparametricsepidemiologyreproduction numberchangepoint detectionCOVID-19

Mathematics Subject Classification ID

Epidemiology (92D30)

Related Items (1)

Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics

Uses Software

• EpiEstim

Cites Work

• Unnamed Item
• On a nonparametric change point detection model in Markovian regimes
• The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
• Inference from iterative simulation using multiple sequences
• Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
• A note on generation times in epidemic models
• The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends
• Bayesian non-parametrics and the probabilistic approach to modelling
• Advanced Lectures on Machine Learning

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