Computational Method for Epidemic Detection in Multiple populations

Authors

  • Ekaterina Shatskikh
  • Michael Ludkovski

DOI:

https://doi.org/10.5210/ojphi.v7i1.5824

Abstract

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.

Downloads

Published

2015-02-26

How to Cite

Shatskikh, E., & Ludkovski, M. (2015). Computational Method for Epidemic Detection in Multiple populations. Online Journal of Public Health Informatics, 7(1). https://doi.org/10.5210/ojphi.v7i1.5824

Issue

Vol. 7 No. 1 (2015)

Section

Poster Presentations

License

Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.