Computational Method for Epidemic Detection in Multiple populations
Author(s) -
Ekaterina Shatskikh,
Michael Ludkovski
Publication year - 2015
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v7i1.5824
Subject(s) - computer science , monte carlo method , epidemic model , state (computer science) , data mining , artificial intelligence , statistics , population , algorithm , mathematics , medicine , environmental health
We propose an epidemic detection algorithm that uses the information about the state of infection in multiple populations. Our method is based on the combination of the Quickest Detection and Sequential Regression Monte Carlo. As a result, we produce a detection map of the model states, where an epidemic is announced.
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