_____________________________________________________________________________________________________ *Corresponding author: E-mail: joshuasunday2000@yahoo.com; Journal of Scientific Research & Reports 15(1): 1-10, 2017; Article no.JSRR.34427 ISSN: 2320-0227 Computational Model for the Prognosis, Control and Simulation of Ebola Virus Disease O. Sarjiyus 1 , J. Sunday 2* and I. Manga 1 1 Department of Computer Science, Adamawa State University, Mubi, Nigeria. 2 Department of Mathematics, Adamawa State University, Mubi, Nigeria. Authors’ contributions This work was carried out in collaboration between all authors. Author OS presented the prognosis of the EVD and also the model adopted. Author JS simulated the model and presented the results. Author IM presented the procedure for the control of the EVD. All authors read and approved the final manuscript. Article Information DOI: 10.9734/JSRR/2017/34427 Editor(s): (1) Khadiga Ahmed Ismail, Parasitology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt. Reviewers: (1) Grienggrai Rajchakit, Maejo University, Thailand. (2) Qiming Liu, Shijiazhuang Mechanical Engineering College, China. (3) Joel K. Weltman, Brown University, USA. Complete Peer review History: http://www.sciencedomain.org/review-history/20082 Received 27 th May 2017 Accepted 22 nd June 2017 Published 17 th July 2017 ABSTRACT Ebola Virus Disease (EVD) has garnered public interest mostly because of its low survival rate compared with most other modern epidemic diseases. This research is hinged on the Prognosis, Control and Simulation of the EVD. A model called the Susceptible-Latent-Infected-Recovered (SLIR) model was adopted in this research to study the trend of the disease. From the stability analysis, it was found that the necessary and sufficient condition for the control and possibly, total eradication of the disease in West Africa is that the product of total breakdown of the susceptible and latent classes most be less than the product of the total removal rates from both the latent and the infectious classes. The computational method adopted in this research also gives the values of parameters needed to hold the epidemic under control, reduce mortality rate arising from the EVD, reduce the rate of infected class and increase the rate of recovered class. Keywords: Control; EVD; prognosis; model and simulation. Original Research Article