Bayesian inference for epidemics with two levels of mixing

DOI10.1111/j.1467-9469.2005.00420.xzbMath1091.62114OpenAlexW2079848860WikidataQ61928964 ScholiaQ61928964MaRDI QIDQ5467692

Nikolaos Demiris, Philip D. O'Neill

Publication date: 24 May 2006

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2005.00420.x

zbMATH Keywords

Markov chain Monte CarloMetropolis-Hastings algorithmstochastic epidemic modelfinal severity

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items

Simulation-based Bayesian inference for epidemic models ⋮ Inference for Epidemics with Three Levels of Mixing: Methodology and Application to a Measles Outbreak ⋮ Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms ⋮ Bayesian parameter inference for stochastic SIR epidemic model with hyperbolic diffusion ⋮ Bayesian inference for stochastic multitype epidemics in structured populations using sample data ⋮ Bayesian inference of spreading processes on networks ⋮ Efficient likelihood-free Bayesian computation for household epidemics ⋮ Optimal vaccination schemes for epidemics among a population of households, with application to variola minor in Brazil ⋮ Bayesian inference for nonlinear stochastic SIR epidemic model ⋮ Bayesian Inference for Stochastic Multitype Epidemics in Structured Populations Via Random Graphs ⋮ Analysis of household data on influenza epidemic with Bayesian hierarchical model

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