Controlling Epidemics With Mathematical and Machine Learning Models

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This book makes a mathematical model for epidemic diseases, specifically COVID-19. The model will mainly focus on quarantine, isolation and vaccine effects for the control of the disease. The model is a compartmental model, an extension of SIR models which consist of a number of differential equations depending on the number of compartment chosen. The book will give mathematical proof of the steady, stability and pandemic level of the disease. It also computes the basic production number which predicts the pandemic level of the disease. The simulation of the model will also be done with the help of python/matlab. The purpose of the the book is to give the readers an overall idea about the mathematics behind the social distancing and lock down efforts to control disease. It also focuses on a machine learning model to predict the severity of the disease.

This book will interest researchers and lectures from university and colleges, health professionals, doctors, nurses, scientists, engineers, students, and anyone interested in the epidemiology.