Catching clouds: Simultaneous optimization of the parameters of biological agent plumes using Dirichlet processes to best estimate infection source location

James Thompson, Thomas Finnie, Ian Hall, Nina Dobrinkova

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We describe a stochastic method using Dirichlet processes to derive mixture models that allow the numerical description of outbreaks of diseases with multiple sources. We show that existing disease models may be extended using this method and how this may be used in a practical context to support the simulated response to a mass casualty public health emergency.
    Original languageEnglish
    Title of host publicationProceedings of the 2017 Federated Conference on Computer Science and Information Systems
    DOIs
    Publication statusPublished - 2017

    Fingerprint

    Dive into the research topics of 'Catching clouds: Simultaneous optimization of the parameters of biological agent plumes using Dirichlet processes to best estimate infection source location'. Together they form a unique fingerprint.

    Cite this