Data driven computing by the morphing fast Fourier transform ensemble Kalman filter in epidemic spread simulations

https://doi.org/10.1016/j.procs.2010.04.136Get rights and content
Under a Creative Commons license
open access

Abstract

The FFT EnKF data assimilation method is proposed and applied to a stochastic cell simulation of an epidemic, based on the S-I-R spread model. The FFT EnKF combines spatial statistics and ensemble filtering methodologies into a localized and computationally inexpensive version of EnKF with a very small ensemble, and it is further combined with the morphing EnKF to assimilate changes in the position of the epidemic.

MSC

65C05
62L12
60G35

Keywords

Data assimilation
FFT
EnKF
Epidemic spread
Cell model
Covariogram

Cited by (0)