COVID-19: Causes, Transmission, Diagnosis, and Treatment

Editor: Mohammad Sufian Badar

COVID-19: Causes, Transmission, Diagnosis, and Treatment

ISBN: 978-981-5256-54-3
eISBN: 978-981-5256-53-6 (Online)

Introduction

COVID-19: Causes, Transmission, Diagnosis, and Treatment is a simple guide to COVID-19 for all readers to give a thorough perspective about the disease. It comprehensively covers information about SARS-CoV-2 biology, clinical treatment and associated problems. It starts with key introductory topics such as COVID-19 epidemiology and viral biology. Next, it covers basic COVID-19 treatments and the impact of the disease in public health and economies. The book concludes by providing information on advanced technologies for COVID-19 radiograph imaging with AI and other machine learning techniques. Overall, content equips readers with a basic understanding about COVID-19 and the role of new technologies in overcoming challenges posed by the viral pandemic.

Key Features

  • - An accessible resource on COVID-19 for all readers
  • - Introduces the reader to SARS-CoV-2 variants, transmission routes and replication
  • - Explains COVID-19 symptoms and treatment methods
  • - Covers a diverse range of issues surrounding the COVID-19 pandemic
  • - Highlights key risks and challenges associated with COVID-19
  • - Covers current and emerging computer technologies that are useful for COVID-19 infection control
  • - Includes references for advanced readers

Readership

General readers and scholars who want to understand everything about COVID-19.

Preface

Since the ongoing pandemic has affected every individual, we need a book that is simple, precise, and easy to comprehend. I feel that very few books are available in the market aimed at the common person. Most books are written for college-going students, academicians, or researchers. This book covers all the aspects required to understand the present situation.

Generally, books are written for students, academicians, or researchers. However, this book is intended for the ordinary person to raise awareness. Therefore, it is written in a way that is coherent and understandable to the average person. Furthermore, the chapters' names and the contents' language are straightforward.

As we have already mentioned, the primary audience is the general masses. This book is written to include the role of all emerging technologies like Artificial Intelligence and Machine Learning, for predicting and diagnosing COVID-19 infection. Therefore, this book takes care of the primary and secondary audiences, without compromising the need and availability of the required material.

Since the primary audience is the general masses, we need to design the content so they can understand it easily and not lose interest. Readers will also learn all they need to know about emerging technologies (Machine Learning, Artificial Intelligence, Blockchain), so they can understand how these technologies can be used to diagnose and fight COVID-19. Due to this coherency, the reader goes to a higher level of understanding without realizing it.

Three key features:

1. Generally, books are written for students, academicians, and researchers. This is the only book written based on the needs of the general masses of the population. Since this pandemic has affected every strata of society, many people want to learn more about the causative Coronaviruses, the viral agent that causes this disease. For that, they will need to learn about the basics of cause, epidemiology, pathogenicity, transmission, diagnosis, treatment, and challenges. The above-mentioned characteristics are explained in detail in the first few chapters.

2. The book is organized in a way that the reader acquires knowledge from basic to advanced levels. After learning about the biology of the coronaviruses, readers will learn how Machine Learning, a common buzzword that everyone uses, is used to diagnose and fight COVID-19 infection. This book will also discuss the challenges we face in using these technologies to carry out such a task.

3. Along with Machine Learning, Artificial Intelligence (AI) and the Internet of Things (IoT) can also be used in the fight against COVID-19. This book will also use Blockchain technology to find and control the socioeconomic and educational post-pandemic impacts of COVID-19.

Mohammad Sufian Badar
Department of Bioengineering University of California
Riverside, CA, 92507
USA