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The Science behind the COVID Pandemic and Healthcare Technology Solutions

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  • © 2022

Overview

Editors:
  1. Sasan Adibi

    1. School of Information Technology, Deakin University, Burwood, Australia

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  2. Abbas Rajabifard

    1. Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia

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  3. Sheikh Mohammed Shariful Islam

    1. Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia

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  4. Alireza Ahmadvand

    1. Princess Alexandra Hospital, Queensland Health, Brisbane, Australia

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  • Reviews advanced technologies for managing pandemics
  • Covers contact tracing systems, data analytics methods and diagnostics strategies
  • Discusses privacy, policy and security issues

Part of the book series: Springer Series on Bio- and Neurosystems (SSBN, volume 15)

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About this book

This book offers a timely review of modern technologies for health, with a special emphasis on wireless and wearable technologies, GIS tools and machine learning methods for managing the impacts of pandemics. It describes new strategies for forecasting evolution of pandemics, optimizing contract tracing, and for detection and diagnosis of diseases, among others. Written by researchers and professionals with different backgrounds, this book offers a extensive information and a source of inspiration for physiologists, engineers, IT scientists and policy makers in the health and technology sector. 


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Table of contents (34 chapters)

  1. Front Matter

    Pages i-xii
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  2. Technology-Driven Pandemic Monitoring Applications

    1. Front Matter

      Pages 1-1
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    2. The Science behind the COVID Pandemic and Healthcare Technology Solutions: An Introduction

      • Sasan Adibi, Abbas Rajabifard, Sheikh Mohammed Shariful Islam, Alireza Ahmadvand
      Pages 3-11

    3. Pandemic’s Behavior of One Year in Six Most Affected Countries Using Polynomial Generated SIR Model

      • Monika Verma, Phalguni Gupta
      Pages 13-61

    4. Digital Contact Tracing for COVID 19: A Missed Opportunity or an Expensive Mess

      • Syed Imran Ahmed, Sheikh Mohammed Shariful Islam
      Pages 63-84

    5. A Re-configurable Software-Hardware CNN Framework for Automatic Detection of Respiratory Symptoms

      • Hasib-Al Rashid, Haoran Ren, Arnab Neelim Mazumder, Mohammad M. Sajadi, Tinoosh Mohsenin
      Pages 85-105

    6. A Comprehensive Telemedicine Service in Hong Kong Provided Through a Mobile Application

      • Zenon W. C. Yeung, Peter K. M. Ku, Victor Abdullah, Ryan H. W. Cho, Zion W. H. To, Monica Lee et al.
      Pages 107-117

    7. Adapting to Live in the Global Pandemic Era: Case Studies

      • James Jin Kang
      Pages 119-128

    8. Towards QR Code Health Systems Amid COVID-19: Lessons Learnt from Other QR Code Digital Technologies

      • Elliot Mbunge, Nduza Ndumiso, Tatenda Duncan Kavu, Kudakwashe Dandajena, John Batani, Stephen G. Fashoto
      Pages 129-143

    9. Optimal Testing Strategies for Infectious Diseases

      • Harris Georgiou
      Pages 145-170

    10. Contact Tracing for Healthcare Facilities Using Bluetooth

      • Piergiuseppe Di Marco, Pangun Park, Marco Pratesi, Fortunato Santucci
      Pages 171-188

  3. Non-invasive COVID-19 Detection and Diagnostic Systems

    1. Front Matter

      Pages 189-189
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    2. Monitoring the Health and Movement of Quarantined COVID-19 Patients with Wearable Devices

      • Muhammad Nazrul Islam, Nafiz Imtiaz Khan, Noor Nafiz Islam, Samuli Laato, A. K. M. Najmul Islam
      Pages 191-213

    3. Context-Aware and User Adaptive Smart Home Ecosystems Using Wearable and Semantic Technologies During and Post COVID-19 Pandemic

      • Elton Henry Savio Lobo, Mohamad Abdelrazek, Abbas Khosravi, Chandan Karmakar, Sheikh Mohammed Shariful Islam
      Pages 215-233

    4. Wearable Tracking: An Effective Smartwatch Approach in Distributed Population Tracking During Pandemics

      • Gurdeep Singh, Robin Doss, Sasan Adibi
      Pages 235-250

    5. Making the Invisible Visible: A Science and Society View of Developing Non-invasive Thermal Technology

      • N. Amini, M. Mann, C. Hempton, T. King, J. Loy
      Pages 251-269

  4. Decision-Making Analytics for COVID-19

    1. Front Matter

      Pages 271-271
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    2. EMD and Horizontal Visibility Graph Based Disease Tagging for Covid-Positive Chest Radiographs

      • Niranjan Chavan, Priya Ranjan, Kumar Dron Shrivastav, Rajiv Janardhanan
      Pages 273-303

    3. Mobility Analytics and COVID-19 in Greece

      • Harris Georgiou, Christos Theodoridis, Yannis Theodoridis
      Pages 305-327

    4. Dynamical Modeling of Outbreak and Control of Pandemics: Assessing the Resilience of Healthcare Infrastructure Under Mitigation Policies

      • Hamed Kashani, Shahab Valaei Sharif, Shiva Hosseini, Mohamad Ali Hekmatian
      Pages 329-351
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Editors and Affiliations

  • School of Information Technology, Deakin University, Burwood, Australia

    Sasan Adibi

  • Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia

    Abbas Rajabifard

  • Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia

    Sheikh Mohammed Shariful Islam

  • Princess Alexandra Hospital, Queensland Health, Brisbane, Australia

    Alireza Ahmadvand

Bibliographic Information

  • Book Title: The Science behind the COVID Pandemic and Healthcare Technology Solutions

  • Editors: Sasan Adibi, Abbas Rajabifard, Sheikh Mohammed Shariful Islam, Alireza Ahmadvand

  • Series Title: Springer Series on Bio- and Neurosystems

  • DOI: https://doi.org/10.1007/978-3-031-10031-4

  • Publisher: Springer Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-031-10030-7Published: 30 October 2022

  • Softcover ISBN: 978-3-031-10033-8Published: 30 October 2023

  • eBook ISBN: 978-3-031-10031-4Published: 29 October 2022

  • Series ISSN: 2520-8535

  • Series E-ISSN: 2520-8543

  • Edition Number: 1

  • Number of Pages: XII, 731

  • Number of Illustrations: 27 b/w illustrations, 151 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering, Health Informatics, Health Promotion and Disease Prevention

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