MATHEMATICAL MODEL FOR THE TRANSMISSION DYNAMICS OF EBOLA INCORPORATING OPTIMAL CONTROL STRATEGIES

Abstract

Ebola Virus Disease remains one of the most deadly infectious diseases affecting several African countries due to its high transmission and mortality rates. Understanding the transmission dynamics of the disease is essential for developing effective intervention and control strategies. In this study, a deterministic compartmental mathematical model for the transmission dynamics of Ebola Virus Disease is developed and analyzed. The total population is divided into six epidemiological compartments namely susceptible, exposed, infectious, hospitalized, recovered, and Ebola-induced death classes. The model incorporates important epidemiological factors such as hospitalization, recovery, disease-induced mortality, and quarantine-related interventions. The study concludes that timely intervention strategies and strict public health measures are effective tools for mitigating the spread of Ebola Virus Disease. The developed model provides useful insights for policymakers, epidemiologists, and public health authorities in planning and implementing effective disease control programs.