COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Researches and Applications of Artificial Intelligence to Mitigate Pandemics - 1st Edition - ISBN: 9780323909594, 9780323899963

Researches and Applications of Artificial Intelligence to Mitigate Pandemics

1st Edition

History, Diagnostic Tools, Epidemiology, Healthcare, and Technology

Editors: Kauser Hameed Surbhi Bhatia Syed Ahmed
eBook ISBN: 9780323899963
eBook ISBN:
Paperback ISBN: 9780323909594
Imprint: Academic Press
Published Date: 27th April 2021
Page Count: 183
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

1. A Case of 2019-nCoV Novel Coronavirus Outbreak

Asma Fatima, Khutaija Maheen and Kauser Hameed

2. Diagnostic Tools and Automated Decision Support Systems For COVID-19

Noor E. Hafsa

3. Epidemiology

Khutaija Maheen, Fatima Rubeena and Kauser Hameed

4. Social Media Sentiment Analysis And Emotional Intelligence

Rameez Unnisa and Khutaija Maheen

5. Role of Technology in COVID-19 Pandemic

RAAZIA SAHER and Madiha Anjum

6. Conclusions

SANEH LATA YADAV, Ritika Dahiya and Surbhi Bhatia


Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support.

Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage.

Key Features

  • Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics
  • Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods
  • Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety


Biomedical Engineers, Computer Scientists, Researchers in the fields of Statistics, Mathematics, AI, and Epidemiology


No. of pages:
© Academic Press 2021
27th April 2021
Academic Press
eBook ISBN:
eBook ISBN:
Paperback ISBN:

Ratings and Reviews

About the Editors

Kauser Hameed

Kauser Hameed, is a lecturer at King Faisal University –College of Computer Science - Information’s System department. She earned her Bachelor’s degree in Computer's Application from Osmania University, India in 2002 and completed her Master levels in Computer’s Application from the same campus in 2004. In more than a decade of her work experience, she hold promising and vivid work roles in multinational IT sectors such as GE Capitals and Sumtotal, while devoting her services in Academic later to that. Editing books, participating chapters and compiling academic videos is also one of her interesting diversions.

Affiliations and Expertise

Lecturer, King Faisal University, College of Computer Science, Inforamtion's System Department, Al-Ahsa, Saudi Arabia

Surbhi Bhatia

Dr. Bhatia is currently an Assistant Professor in the Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has eight years of teaching and academic experience. She is an editorial board member on the International Journal of Hybrid Intelligence and in SN Applied Sciences. She has published seven national and international patents. She has been granted an Australian patent titled "Dataset Discovery using Data Analytics using AI". She is currently serving as a Special Issue guest editor for the journals SN Applied Sciences, Computer, Materials and Continua, Internet of Things. She has successfully authored two books from Springer and Wiley. She has successfully completed funded research projects from the Deanship of Scientific Research at King Faisal University. Her research areas include data mining, machine learning, and information retrieval.

Affiliations and Expertise

Assistant Professor, College of Computer Science and Information Technology, King Faisal University, Riyadh, Saudi Arabia

Syed Ahmed

Syed Tousif Ahmed holds a Masters of Computer Science and Engineering; graduated from Jawaharlal Nehru Technological University Hyderabad, India. His expertise lend strong hands on to High Performance Computing, Artificial Intelligence, Cloud database, Python, Linux administration and Data Science. Holding over 10 plus years of work experience in the field of Information Technology, he played vivid roles as working in Academics as well as in the industry. In his career journey he worked as a Database Administrator in University of Dammam, Oracle HR consultant at Extra Zonic Dammam, R and D associate at various funded research projects at renowned universities internationally and proved to show distinguished results. Currently, he is aspiring to pursue doctorate in one of his engrossing areas.

Affiliations and Expertise

Masters of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad, India