Artificial Intelligence (AI) in Battle Against COVID-19
Page: 1-25 (25)
Author: Sivakumar Vengusamy* and Hegan A.L. Rajendran
DOI: 10.2174/9789815080650123010003
PDF Price: $15
Abstract
In Wuhan China, the world’s most dangerous virus is discovered, which is
named COVID-19 by World Health Organization. Social distancing is one of the
powerful methods to control this virus as it is realized that lockdown is not a permanent
solution. This research chapter aims to identify the major activities influencing the
transmission of the coronavirus spread using Artificial Intelligence bound models. To
conduct this research in the right direction, movement control restriction,
meteorological parameters, and air pollution levels information are collected from
various valid websites. End-to-end data pre-processing steps are carried out in detail to
handle the outliers and missing values and investigate the correlation between
dependent and independent variables. Multiple linear regression, neural networks,
decision trees, and random forests are chosen to fulfil the objective of this research by
identifying the most influential activities and other parameters. Here, the model’s
performance evaluation is done using the R2
value, mean absolute error and mean
squared error. The predicted values are plotted against the actual value to illustrate the
error patterns. Among all models, random forest and decision tree models are proven to
give the highest accuracy of 93 percent and 91 percent respectively. Prescriptive
analysis has been further analyzed by performing feature importance extraction from
the highly accurate models to identify the most impactful parameters the government
authority and healthcare front-liners focus on to mitigate the number of COVID-19
cases daily.
Impact of 3D Printed Components and Ventilators on COVID-19
Page: 26-47 (22)
Author: K.T. Thomas*, Lija Jacob and Samiksha Shukla
DOI: 10.2174/9789815080650123010004
PDF Price: $15
Abstract
The disease caused by a virus known as the novel Coronavirus, also known
as “COVID-19” by the public, was classified as a major epidemic by the World Health
Organisation in 2019. Each country across the globe is affected by COVID-19. While
writing this, over 150 million people were affected by the fast-spreading deadly
pandemic, and over 3.5 million deaths due to COVID-19 were reported worldwide as
per WHO’s official COVID-19 dash panel-https://covid19.who.int/Economy and social
life of no territory on earth was left unaffected by the COVID-19. Now vaccines are
ready, it may take a reasonable amount of time to complete the vaccination process.
One major challenge was the need for more support equipment like Beds, Oxygen
Cylinders, and Ventilators. Improvisation in the mass production of many critical
components, especially those supporting 3D printing technology, has shown some
well-managed results in handling the shortage of many critical components. This
chapter examines and describes how 3D printing technologies were used during the
dangerous pandemic. It aims to describe many 3D-printed devices like face masks, face
shields, various valves, etc. It also makes an effort to point out the dominant drawbacks
of additive manufacturing technology in this area and examines the options for a future
pandemic.
IoT Innovation in COVID-19 Crisis
Page: 48-68 (21)
Author: T. Genish* and S. Vijayalakshmi
DOI: 10.2174/9789815080650123010005
PDF Price: $15
Abstract
The COVID-19 pandemic is a current global threat that surpasses provincial
and radical boundaries. Due to the onset of the pandemic disease, the whole world
turned entirely in a couple of weeks. Its consequences have come across the personal
and professional life of human beings. The current situation focuses on precautions
such as wearing a mask, maintaining social distancing, and sanitizing hands regularly.
An innovative platform, and smart and effective IoT technology may be applied to
follow these steps. This platform fulfills all critical challenges at the time of lockdown
situations. IoT technology is more helpful in capturing real-time patient data and other
essential information. IoT allows the tracing of infected people and suspicious cases
and helps diagnose and treat patients remotely. It also paves the way to deliver essential
medical devices and medicines to quarantined places. In the present ongoing crisis, IoT
technology is inevitable in monitoring patients infected with COVID-19 through
sensors and intertwined networks. The consultations are given to the patients digitally
through video conferencing without meeting the medical expert in person. After the
diagnosis is made digitally, IoT devices are used to track health data. Smart
thermometers are used instead of traditional ones to collect valuable health data and
share it with experts. The IoT robots are now a proven technology used for cleaning
hospitals, disinfecting medical devices, and delivering medicines, thus giving more
time to healthcare workers to treat patients.
Potential Applications of AI and IoT Collaborative Framework for Health Care
Page: 69-96 (28)
Author: Lija Jacob*, K.T. Thomas and Samiksha Shukla
DOI: 10.2174/9789815080650123010006
PDF Price: $15
Abstract
Digital technology has infiltrated the entire planet. Artificial Intelligence
(AI) and the Internet of Things (IoT) are the two buzzwords that became popular in the
current digital world, especially in recent decades. Both these technologies have their
contribution in various domains. The existing frameworks will benefit from the AI-IoT
collaborative system, which will assist them in having more intelligent or smart
responses. Furthermore, these collaborative systems can provide improved devices with
better decision-making capacity to facilitate the users. AI can work with IoT to increase
functional precision in the healthcare domain by automating and tracking, monitoring,
managing, optimizing, and predicting processes in 24x7 mode. Health professionals are
the people involved in activities whose primary commitment is to improve the
wellbeing of the community. They are a group of people who face various obstacles,
including their health and safety concerns, especially during pandemic outbreaks. This
book chapter aims to illustrate the impact of AI and IoT on the health care domain and
the challenges that healthcare professionals face, especially when dealing with such an
pandemic and suggests some potential health care advancements through AI and IoT.
Role of Social Media Platforms to Maintain Social Distancing in COVID-19 Pandemic
Page: 97-122 (26)
Author: Sivakumar Vengusamy* and Danapriya Visvanathan
DOI: 10.2174/9789815080650123010007
PDF Price: $15
Abstract
Though it has been some time since the outbreak of the novel COVID-19
disease, it still poses a threat to many people worldwide. Connections have been lost
due to the practice of social distancing, both on a personal and a societal level. Due to
the global prohibitions on large-scale face-to-face meetings and activities, social media
platforms have emerged as a lifesaver for humanity. The role of social media platforms
has grown increasingly important for people to express themselves and communicate
with others. Besides, the world has also witnessed large-scale events being organized
on social media platforms, making connections and interactions with friends, family,
and the community via social media networks, as well as the transformation of
educational activities into digital activities. Thus, it is pertinent to comprehend the role
of social media platforms in maintaining social distancing and online connections
during the COVID-19 pandemic. This research aims to generate a discussion on the
importance and role of social media platforms to maintain social distancing among
individuals. It typically emphasizes three main themes: (1) the importance of social
media platforms in establishing as well as improving social distancing during the
COVID-19 crisis, (2) the role of social media platforms in maintaining social
connections and interactions among individuals during the pandemic, and (3) the
impact of Coronavirus towards the use of social media.
AI based Clinical Analysis of COVID-19 Infected Patients
Page: 123-167 (45)
Author: Mohamed Yousuff*, Rajasekhara Babu, R. Anusha and M.A. Matheen
DOI: 10.2174/9789815080650123010008
PDF Price: $15
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is an
unknown beta coronavirus that comes under the B genus, which causes Coronavirus
Disease 2019 (COVID-19), a declared universal epidemic, posing a serious menace to
human health irrespective of the nationality. According to the World Health
Organization (WHO) statistics, as of September 10, 2021, there were 223,022,539
positive cases of COVID-19 with 4,602,883 fatalities reported worldwide. A total of
5,352,927,297 vaccine doses have been facilitated since September 5, 2021. This
pandemic has become a ravaging illness because of its highly contractible nature and
mutations. Many types of research in diverse fields of science have been initiated to
suppress the effects and manage the havoc. Artificial Intelligence (AI) is classified as a
subdomain of science, which most certainly contributed to numerous applications in
confronting the present state at a broader level. In this chapter, we have tried to explore
state-of-the-art AI techniques implemented in the perspective of COVID-19 across
multiple subjects of concern. The AI approaches are utilized in the treatment,
diagnosis, prediction of recovery, severity and mortality of patients, chest X-Ray and
computed tomography-based analysis, pandemic prediction, its control and
management, pharmaceutical research, COVID-19 text corpus processing, and virus
apprehension. Thus, the comprehension of various applications is meant to enlighten
the status of AI in this pandemonium. Finally, we conclude with some suggestions and
remarks to tackle the disaster in an improved way.
Case Study: Impact of Industry 4.0 and Its Impact on Fighting COVID–19
Page: 168-198 (31)
Author: N. Hari Priya*, S. Rajeswari and R. Gunavathi
DOI: 10.2174/9789815080650123010009
PDF Price: $15
Abstract
The emerging development in industrial technology for automation and data
sharing is known as Industry 4.0. It incorporates the Internet of Things, Cyber-physical
systems, and Cloud computing, all of which contribute to the development of a “smart
factory”. Customers, distributors, vendors, and stakeholders in the supply chain would
be capable of connecting and can exchange data easily through Industry 4.0. The
COVID-19 pandemic is quickly spreading and posing a threat to people all over the
world. Employment and activities in all markets have been disrupted, putting
economies all over the world in serious jeopardy. To combat the pandemic, retailers
will benefit from Industry 4.0 because it will help to mitigate the impact of identified
risks. I4.0 executives were focused on gaining a competitive edge, rising efficiency,
lowering prices, and, ensuring profitability as their primary aim was to enhance the
productivity of business during the time before the COVID-19 crisis. Our Government
has imposed new behavioral trends including social distancing, isolation and,
lockdown. The Government needs additional financial resources to combat pandemics
as a result of these actions, there has been a global economic slowdown. This chapter
enlightens the significance and technologies of Industry 4.0, showing how those
technologies and applications help in attaining a better society. It also explains how
Industry 4.0 helps in accomplishing sustainable manufacturing and the management
tactics it used to boost the company's efficiency, as well as the effects of COVID-19.
Subject Index
Page: 199-203 (5)
Author: S. Vijayalakshmi, Naveen Chilamkurti, Savita, Rajesh Kumar Dhanaraj and Balamurugan Balusamy
DOI: 10.2174/9789815080650123010010
PDF Price: $15
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: Technological Pandemic Response: This book delves into how technology played a pivotal role in enabling social distancing, remote monitoring, contact minimization, telecommuting, online education, virus analysis, and predictive modeling, effectively aiding the fight against the coronavirus. 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.