Computational Modeling Of The Covid-19 Disease: Numerical Ode Analysis With R Programming

The book is intended for readers who are interested in learning about the use of computer-based modelling of the COVID-19 disease. It provides a basic introduction to a five-ordinary differential equation (ODE) model by providing a complete statement of the model, including a detailed discussion of the ODEs, initial conditions and parameters, followed by a line-by-line explanation of a set of R routines (R is a quality, scientific programming system readily available from the Internet). The reader can access and execute these routines without having to first study numerical algorithms and computer coding (programming) and can perform numerical experimentation with the model on modest computers.<b>Contents:</b> <ul><li>Single Area ODE Model</li><li>Detailed Analysis of the ODE Model</li><li>Variants of the Basic ODE Model</li><li>Postulated Vaccine/Therapeutic Drug Treatment</li><li>ODE Model with Delays</li></ul><br><b>Readership:</b> Graduate students and professionals in life sciences/biology, computer science and engineering.COVID-19 Disease;Disease Mathematical Model;Numerical Analysis;Ordinary Differential Equations;ODE;R Programming0<b>Key Features:</b><ul><li>A detailed discussion of the mathematical model equations, including all of the equations, initial condition and parameters, (2) documented, tested R routines that implement the mathematical model</li><li>The reader/analyst/researcher can proceed to numerical solutions of the model without having to first study numerical algorithms, computer coding (programming)</li></ul>