Mathematical modeling and control of MERS-CoV epidemics
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Abstract
Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a viral infectious disease that can be transmitted to humans through interaction with infected animals or humans. In this thesis, we will investigate the basic compartment models for infectious diseases qualitatively and quantitatively. The equilibrium points and their stability will be explored by using differential equations methods. Based on the available data on the Middle East Respiratory Syndrome, this research study will clarify the model of MERS-CoV analytically and numerically. Additionally, this proposed study will explore the optimal control to reduce the spread of MERS-CoV disease as well as its threshold. Mathematical software, such as MAPLE, will be used to investigate the model.