Editors: S. Vijayalakshmi, Naveen Chilamkurti, Savita , Rajesh Kumar Dhanaraj, Balamurugan Balusamy

The Role of AI, IoT, and Blockchain in Mitigating the Impact of COVID-19

eBook: US $49 Special Offer (PDF + Printed Copy): US $90
Printed Copy: US $65
Library License: US $196
ISBN: 978-981-5080-66-7 (Print)
ISBN: 978-981-5080-65-0 (Online)
Year of Publication: 2023
DOI: 10.2174/97898150806501230101

Introduction

In the wake of the global COVID-19 pandemic, humanity faced unprecedented challenges that necessitated innovative technological solutions. The Role of AI, IoT, and Blockchain in Mitigating the Impact of COVID-19 explores the transformative influence of Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain technologies in combating the pandemic's effects.

Key themes:

⚬   Data Precision: Accurate and reliable data are essential for tracking virus spread. The book demonstrates how AI, IoT, and Blockchain can establish digital databases that ensure data accuracy, accessibility, and real-time monitoring, addressing the challenges faced by public healthcare systems.

⚬   Innovative Applications: Chapters in this book cover a wide array of applications, from AI-driven models for COVID-19 analysis and prediction to the use of 3D printing technologies, IoT tools for virus control, and the impact of AI and IoT in healthcare. It also explores the role of social media in promoting social distancing.

⚬   Advanced AI Techniques: Readers gain insights into cutting-edge AI techniques applied to COVID-19 in areas such as treatment, diagnosis, prognosis, chest X-ray and CT analysis, pandemic prediction, and pharmaceutical research.

⚬   Industry 4.0: The book discusses Industry 4.0 technologies and their contribution to sustainable manufacturing, efficient management strategies, and their response to the challenges posed by the pandemic.

Contributed by a distinguished panel of national and international researchers, with multidisciplinary backgrounds specializing in Artificial Intelligence, biomedical engineering, machine learning, and healthcare technology, public health and industrial automation. Each contribution includes derailed references to encourage scholarly research.

This book serves as a valuable resource for academic and professional readers seeking to understand how modern computing technology has been harnessed to address the unique challenges posed by the COVID-19 pandemic. It offers insights into technological innovations and their potential for the betterment of society, especially in times of crisis. Readers will be introduced to computing techniques and methods to measure and monitor the impacts of medical emergencies similar to viral outbreaks and implement the necessary infection control protocols.

Audience

Academic and professional readers interested in healthcare automation and infection control.

Preface

Almost every country has been affected by the COVID-19 pandemic, which has had a significant impact on human lives and economic activity. The pandemic of COVID-19 was still significant in 2022, when millions of people around the world were getting sick. There has been an enormous and widespread impact on healthcare due to the COVID-19 pandemic; this has resulted in a significant and rapid increase in digital technology adoption. Luckily, digital technologies like Artificial Intelligence, the Internet of Things, and blockchain have unique characteristics such as immutability, decentralization, and transparency and can be used in many different fields like maintaining records, maintaining social distance, record maintenance, measuring mental health, and clinical analysis of infected people. Chap. 1 discusses artificial intelligence models in the battle against covid -19, with data preprocessing of three different datasets like weather dataset, air pollution dataset, and movement restriction dataset. Chap. 2 examines and describes how 3D printing technologies can be used as a weapon in the dangerous pandemic situation. Chap 3 discusses Iot, and Iot tools in preventing and controlling the virus. The chapter discusses several technologies that can be used in conjunction with IoT to combat the COVID-19 pandemic. The human society benefits from technologies during coronavirus outbreaks in terms of symptoms’ diagnosis, contact tracing, quarantine monitoring, and social distancing. Numerous applications utilizing artificial intelligence in conjunction with the Internet of Things have been discussed. Chapter 4 illustrates the impact of artificial intelligence and the Internet of Things (IoT) in the healthcare domain, as well as the challenges that healthcare professionals face, particularly when dealing with a pandemic situation, and proposes some potential healthcare developments through the use of AI and IoT. The purpose of Chapter 5 is to raise awareness about the importance and role of social media platforms in preserving social distance between people. When discussing social media and the COVID-19 pandemic, there are usually three main points made: the importance of social media platforms in establishing and improving social distancing, the importance of social media platforms in maintaining social connections and interactions among individuals, and finally the impact of Coronavirus on social media use. Chapter 6 looks at AI techniques that are up to date in terms of COVID-19 in a number of different areas of interest. Treatment, diagnosis, prognosis of recovery, severity, and death of patients, chest X-Ray and CT-based analysis, pandemic prediction, control and management, pharmaceutical research and COVID-19 text corpus processing and virus detection are all performed with AI. A better understanding of various applications is needed to shed light on the current state of artificial intelligence in this pandemonium. Some suggestions and remarks about how to deal with the disaster are discussed in a better way. A better society can be achieved through the use of Industry 4.0 technologies and applications, which are explained in Chapter 7. Also, how Industry 4.0 contributes to sustainable manufacturing and the management strategies used to increase the company's efficiency, as well as COVID-19's impact are discussed.

S. Vijayalakshmi
Department of Data Science
CHRIST (Deemed to be University)
Pune Lavasa Campus - The Hub of Analytics
Maharashtra 412112
India