English

Predicting and controlling the Ebola infection

Populations and Evolution 2017-11-06 v1 Optimization and Control Physics and Society

Abstract

We present a comparison between two different mathematical models used in the description of the Ebola virus propagation currently occurring in West Africa. In order to improve the prediction and the control of the propagation of the virus, numerical simulations and optimal control of the two models for Ebola are investigated. In particular, we study when the two models generate similar results.

Keywords

Cite

@article{arxiv.1511.06323,
  title  = {Predicting and controlling the Ebola infection},
  author = {Amira Rachah and Delfim F. M. Torres},
  journal= {arXiv preprint arXiv:1511.06323},
  year   = {2017}
}

Comments

This is a preprint of a paper whose final and definite form will be published in Mathematical Methods in the Applied Sciences, ISSN 0170-4214. Submitted 31-Aug-2015; revised 16-Nov-2015; accepted 19-Nov-2015

R2 v1 2026-06-22T11:49:44.936Z