Spatio-Temporal Modelling of Progression of the COVID–19 Pandemic

DOI10.1007/978-3-030-84596-4_7zbMath1504.92133OpenAlexW4205452740MaRDI QIDQ5048322

Jennifer L. Matthews, Hueiwang Anna Jeng, Norou Diawara, Dilini Gamage

Publication date: 16 November 2022

Published in: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-84596-4_7

zbMATH Keywords

Bayesian analysisconditional autoregressive modelcoronavirus pandemicMoran values

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• WinBUGS
• spBayes
• BayesDA
• CARBayesST

Cites Work

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• Stein's method and normal approximation of Poisson functionals
• Fitting multiple change-point models to data
• Comparison of Hierarchical Bayesian Models for Overdispersed Count Data using DIC and Bayes' Factors
• Gaussian Predictive Process Models for Large Spatial Data Sets
• Bayesian Disease Mapping
• Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study
• NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
• Space‐time areal mixture model: relabeling algorithm and model selection issues

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