Predicting and controlling the Ebola infection
Amira Rachah, Delfim F. M. Torres
TL;DR
This paper compares two mathematical models of Ebola virus spread, using simulations and optimal control to improve prediction and control strategies, and analyzes their similarities and differences.
Contribution
It introduces a comparative analysis of two Ebola models with numerical simulations and optimal control, enhancing understanding of their predictive capabilities.
Findings
Models produce similar results under certain conditions
Optimal control strategies can effectively reduce infection spread
Numerical simulations validate model predictions
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.
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