The Science behind the COVID Pandemic and Healthcare Technology Solutions

Sasan Adibi, Abbas Rajabifard, Sheikh Mohammed Shariful Islam , Alireza Ahmadvand

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English

Springer International Publishing AG
30 October 2023

Public health & preventive medicine; Infectious & contagious diseases; Biomedical engineering; Health & safety aspects of computing

Series: Springer Series on Bio- and Neurosystems

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.

Edited by: Sasan Adibi, Abbas Rajabifard, Sheikh Mohammed Shariful Islam, Alireza Ahmadvand
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2022 ed.
Volume: 15
Dimensions: Height: 235mm, Width: 155mm,
Weight: 1.122kg
ISBN: 9783031100338
ISBN 10: 3031100336
Series: Springer Series on Bio- and Neurosystems
Pages: 731
Publication Date: 30 October 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Introduction.- Pandemic’s Behavior of One Year in Six Most Affected Countries using Polynomial Generated SIR Model.- Digital contact tracing for COVID 19: a missed opportunity or an expensive mess.- A Re-configurable Software-Hardware CNN Framework for Automatic Detection of Respiratory Symptoms.- A Comprehensive Telemedicine Service in Hong Kong Provided Through a Mobile Application.- Adapting to live in the global pandemic era: Case studies.- Towards QR code health systems amid COVID-19 - Lessons learnt from other QR code digital technologies.- Optimal testing strategies for infectious diseases.