Bayesian Inference for Contact Networks Given Epidemic Data

DOI10.1111/j.1467-9469.2010.00721.xzbMath1246.62207OpenAlexW1749900216WikidataQ58648209 ScholiaQ58648209MaRDI QIDQ2911687

David R. Hunter, David Welch, Chris Groendyke

Publication date: 1 September 2012

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

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2010.00721.x

zbMATH Keywords

measlesMCMCErdős-Rényistochastic SEIR epidemic\texttt{R package epinet}\texttt{R package ergm}exponential random graph model (ERGM)

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Applications of graph theory (05C90) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Random graphs (graph-theoretic aspects) (05C80) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (15)

Inference for Epidemics with Three Levels of Mixing: Methodology and Application to a Measles Outbreak ⋮ The transmission process: a combinatorial stochastic process for the evolution of transmission trees over networks ⋮ Network-based analysis of a small Ebola outbreak ⋮ The stochastic SEIR model before extinction: computational approaches ⋮ Introduction to the special issue on Data Science for COVID-19 ⋮ A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015 ⋮ Unifying incidence and prevalence under a time-varying general branching process ⋮ Modeling and pricing cyber insurance. Idiosyncratic, systematic, and systemic risks ⋮ A network epidemic model for online community commissioning data ⋮ Model-based clustering of large networks ⋮ A Network‐based Analysis of the 1861 Hagelloch Measles Data ⋮ A dynamic individual-based model for high-resolution ant interactions ⋮ Epidemiologic network inference ⋮ Modifying the network-based stochastic SEIR model to account for quarantine: an application to COVID-19 ⋮ epinet

Uses Software

• R
• CRAN
• ergm

Cites Work

• SIR dynamics in random networks with heterogeneous connectivity
• Inference for Epidemics with Three Levels of Mixing: Methodology and Application to a Measles Outbreak
• Directly Transmitted Infections Diseases: Control by Vaccination
• Goodness of Fit of Social Network Models
• The estimation of latent and infectious periods
• Bayesian Inference for Stochastic Epidemics in Populations with Random Social Structure
• Statistical inference and model selection for the 1861 Hagelloch measles epidemic
• A SIMPLE STOCHASTIC EPIDEMIC
• Unnamed Item
• Unnamed Item

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