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Kauser Hameed (editor) - Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology ... for Pattern Analysis and Understanding)

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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 books 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.

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Contents
List of tables
  1. Tables in Chapter 2
  2. Tables in Chapter 4
  3. Tables in Chapter 6
List of figures
  1. Figures in Chapter 1
  2. Figures in Chapter 2
  3. Figures in Chapter 3
  4. Figures in Chapter 4
  5. Figures in Chapter 5
Landmarks
Researches and Applications of Artificial Intelligence to Mitigate Pandemics - photo 1
Researches and Applications of Artificial Intelligence to Mitigate Pandemics
History, Diagnostic Tools, Epidemiology, Healthcare, and Technology
Hybrid Computational Intelligence for Pattern Analysis and Understanding Series
Edited by
Kauser Hameed
Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia
Surbhi Bhatia
Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia
Syed Tousif Ahmed
Masters of Computer Science and Engineering, JNTU - Hyderabad, India
Series Editors
Siddhartha Bhattacharyya
Nilanjan Dey
Contents Copyright Academic Press is an imprint of Elsevier 125 London Wall - photo 2
Contents
Copyright

Academic Press is an imprint of Elsevier

125 London Wall, London EC2Y 5AS, United Kingdom

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Copyright 2021 Elsevier Inc. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.
Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.
To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.

Library of Congress Cataloging-in-Publication Data

A catalog record for this book is available from the Library of Congress

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library

ISBN: 978-0-323-90959-4

For information on all Academic Press publications visit our website at https://www.elsevier.com/books-and-journals

Publisher: Mara Conner

Acquisitions Editor: Fiona Geraghty

Editorial Project Manager: Joshua Mearns

Production Project Manager: Sojan P. Pazhayattil

Designer: Matthew Limbert

Typeset by Thomson Digital

Contributors Madiha Anjum College of Computer Science and Information - photo 3

Contributors

Madiha Anjum , College of Computer Science and Information, Technology King Faisal University, Al Ahsa, Saudi Arabia

Syed Tousif Ahmed , Masters of Computer Science and Engineering, JNTU - Hyderabad, India

Surbhi Bhatia , Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia

Ritika Dhaiya , Go Canvas, San Diego, CA, United States

Asma Fatima , Faith Chest and General Hospital, Hyderabad, India

Noor E. Hafsa , King Faisal University, Al Ahsa, Saudi Arabia

Kauser Hameed , Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia

Khutaija Maheen , Fairleigh Dickinson University, Teaneck, NJ, United States

Fatima Rubeena , Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia

Raazia Saher , College of Computer Science and Information, Technology King Faisal University, Al Ahsa, Saudi Arabia

Rameezunnisa , Osmania University, Hyderabad, India

Saneh Lata Yadav , Department of Computer Science and Engineering, K.R. Mangalam University, Gurgaon, India

Chapter 1: A case of 2019-nCoV novel coronavirus outbreak
Asma Fatima
Khutaija Maheen
Kauser Hameed
a Faith Chest and General Hospital, Hyderabad, India
b Fairleigh Dickinson University, Teaneck, NJ, United States
c Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Saudi Arabia
Abstract

This chapter reconnoiters various types of coronaviruses that cause zoonotic infection. Coronaviruses affecting the human population are known as human coronaviruses. Numerous coronaviruses exist that cause mild to severe ailments and fatalities, infection in the upper respiratory tract (URTI), acute respiratory syndrome, Middle East respiratory syndrome with varying degrees of severity may cause serious viral pneumonia, leading to hospitalization and death. SARS-CoV, transpired from China in late 2019, spread exponentially across the globe. World Health Organization stated this situation as a health emergency on March 11, 2020, and hence it was named as COVID-19.

The outbreak of COVID-19 has affected health and economy around the world on an unprecedented scale. It is having a devastating effect on education, jobs, employment, domestic life, and the well-being of kids, youth, and elderly inhabitants. The incubation period for coronavirus disease is 214 days. Infected people have different clinical outcomes. However, people with preexisting cardiovascular disease, hypertension, diabetes, and related conditions have worse health suffering consequences. The transmission rate of COVID-19 is relatively high as compared to other viruses, researches have proposed many strategies in combating the virus contagious behavior; hand hygiene practice, physical distancing, limiting contact with other people, tracing contacts, disinfecting the surfaces, and wearing the proper mask are few to name. At the moment, no vaccines or drugs with proven efficacy are available for the medical management of COVID-19 patients. Chloroquine/hydroxychloroquine, Remdesivir, and Tocilizumab are strongly recommended treatment options in COVID-19. The chapter also throws light on coping strategies to overcome claustrophobia during the lock-down and dispelling COVID-19 rumors.

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