Technical report: analyzing, predicting and controlling the Ebola disease by using SEIR model / Nurfatihah Asmadie and Nur Arina Shaifull Bahari

Ebola virus remarks as one of the most lethal pathogens for humans which lead to loss of many lives. In this project, a mathematical model of Susceptible-Exposed-Infectious-Recovered (SEIR) models are presented. The West Africa Ebola Virus Disease (EBV) is described as having the latest major outbreak by playing with the mathematical model and numerical sim­ulations. Discussion and study of the EBV along with SEIR models properties, validity of the models and gathering information is done to enable in analyzing more about EBV. With the help of maple software, verifying and validating is done through numerical simulations. More detailed case study of the real cases is discussed and investigation of vaccination role to con­trol and predict the virus in the population is put into action. Therefore, investigation on the strategies in order to predict and halt the spread of Ebola virus with the application of cor­rect measures in controlling it optimally by the model of SEIR so that the number of infected individual can be reduced. This is set as the goal of our study.