Cover for Leveraging Artificial Intelligence in Global Epidemics

Leveraging Artificial Intelligence in Global Epidemics

Book2021

Edited by:

Le Gruenwald, Sarika Jain and Sven Groppe

Leveraging Artificial Intelligence in Global Epidemics

Book2021

 

Cover for Leveraging Artificial Intelligence in Global Epidemics

Edited by:

Le Gruenwald, Sarika Jain and Sven Groppe

About the book

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Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disea ... read full description

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  2. Book chapterAbstract only

    1 - An overview of global epidemics and the challenges faced

    Nizam Uddin and Thamina Acter

    Pages 1-27

  3. Book chapterAbstract only

    2 - Leveraging artificial intelligence and digital tech to help citizens, societies, and economies survive and strive during pandemics

    Nikolaos Mavridis, Engelbert Quack and Kai Wussow

    Pages 29-69

  4. Book chapterAbstract only

    3 - Towards an alternative to lockdown: Pandemic management leveraging digital technologies and artificial intelligence

    Nikolaos Mavridis, Engelbert Quack and Kai Wussow

    Pages 71-106

  5. Book chapterAbstract only

    4 - Exploratory study of existing approaches for analyzing epidemics

    Neetu Sardana and Arpita Jadhav Bhatt

    Pages 107-131

  6. Book chapterAbstract only

    5 - A data science perspective of real-world COVID-19 databases

    Shivika Prasanna and Praveen Rao

    Pages 133-163

  7. Book chapterAbstract only

    6 - Preparing with predictions: forecasting epidemics with artificial intelligence

    David DeCaprio

    Pages 165-180

  8. Book chapterAbstract only

    7 - The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19

    Moawia E. Eldow

    Pages 181-201

  9. Book chapterAbstract only

    8 - The role of AI in digital contact tracing

    Sofiane Abbar and Mohamed Mokbel

    Pages 203-221

  10. Book chapterAbstract only

    9 - Covid-19 accelerating the dynamics of Artificial Intelligence disruption

    Esteve Almirall and Feichin Ted Tschang

    Pages 223-237

  11. Book chapterAbstract only

    10 - Use of artificial intelligence in pharmacovigilance for social media network

    Subash Nadar, Ajantha Devi, ... Fadi Al-Turjman

    Pages 239-259

  12. Book chapterAbstract only

    11 - System-level knowledge representation for artificial intelligence during pandemics

    Paola Di Maio

    Pages 261-283

  13. Book chapterNo access

    Index

    Pages 285-290

About the book

Description

Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations.

Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations.

Key Features

  • Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies
  • Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data
  • Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing
  • Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies
  • Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data
  • Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing

Details

ISBN

978-0-323-89777-8

Language

English

Published

2021

Copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Imprint

Academic Press

Editors

Le Gruenwald

School of Computer Science, The University of Oklahoma, Norman, OK, United States

Sarika Jain

National Institute of Technology, Kurukshetra, Haryana, India

Sven Groppe

University of Lübeck, Lübeck, Germany