The science behind the COVID pandemic and healthcare technology solutions / Sasan Adibi, Abbas Rajabifard, Sheikh Mohammed Shariful Islam, Alireza Ahmadvand, editors.
Adibi, Sasan, 1970- editor.; Rajabifard, Abbas, editor.; Shariful Islam, Sheikh Mohammed, editor.; Ahmadvand, Alireza, editor.
2022
R855.3
Available Online

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Title The science behind the COVID pandemic and healthcare technology solutions / Sasan Adibi, Abbas Rajabifard, Sheikh Mohammed Shariful Islam, Alireza Ahmadvand, editors.
ISBN 9783031100314 (electronic bk.)
303110031X (electronic bk.)
3031100301
9783031100307
DOI https://doi.org/10.1007/978-3-031-10031-4
Published Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource (1 volume) : illustrations (black and white, and color).
Item Number 10.1007/978-3-031-10031-4 doi
Call Number R855.3
Dewey Decimal Classification 610.28
Summary 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.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Adibi, Sasan, 1970- editor.
Rajabifard, Abbas, editor.
Shariful Islam, Sheikh Mohammed, editor.
Ahmadvand, Alireza, editor.
Series Springer series on bio- and neurosystems ; v. 15.
Available in Other Form SCIENCE BEHIND THE COVID PANDEMIC AND HEALTHCARE TECHNOLOGY SOLUTIONS.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
Pandemics 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.

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