Computational Method for Epidemic Detection in Multiple populations

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.