Identifying the Issue
COVID -19 pandemic has caused the most severe health problems to adults over 60 years of age, with particularly fatal consequences for those over 80. In this case, age-structured mathematical modelling could be useful to determine the spread of the disease and to develop a better control strategy for different age groups. In this study, we first propose an age-structured model considering two different age groups, the first group with population age below 30 years and the second with population age above 30 years, and discuss the stability of the equilibrium points and the sensitivity of the model parameters. In the second part of the study, we propose an optimal control problem to understand the age-specific role of treatment in controlling the spread of COVID -19 infection.
Objective of the Research
- We propose to study the stability analysis of an age-structured model incorporating the saturation in medical treatment
- We propose to study the optimal control problem to study the effectiveness of treatment in reducing COVID-19 infection
Who should read this?
Academics, Mathematics, Bio-Mathematics, Mathematical Modelling, Doctors-Physicians, Research