Computer Science Protecting Human Society Against Epidemics - First IFIP TC 5 International Conference, ANTICOVID 2021, Virtual Event, June 28-29, 2021, Revised Selected Papers

This book constitutes the refereed post-conference proceedings of the First IFIP TC 5 International Conference on Computer Science Protecting Human Society Against Epidemics, ANTICOVID 2021, held virtually in June 2021.The 7 full and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are concerned with a very large spectrum of problems, ranging from linguistics for automatic translation of medical terms, to a proposition for a worldwide system of fast reaction to emerging pandemic.

List of contents

Bioinformatic and MD analysis of N501Y SARS-CoV-2 (UK) variant.- Ensuring interoperability of laboratory tests and results: A linguistic approach for mapping French laboratory terminologies with LOINC.- Volunteer computing project SiDock@home for virtual drug screening against SARS-CoV-2.- An empirical investigation of the pandemic impact on IT students' educational schedules.- How Newspapers Portrayed COVID-19: A Study Based on United Kingdom and Bangladesh.- Approximate Solutions of the RSIR Model of COVID-19 Pandemic.- Information entropy contribution to COVID-19 waves analysis.- Computing the Death Rate of COVID-19.- Towards a System to Monitor the Virus's Aerosol-Type Spreading.- Comparison between two systems for forecasting Covid-19 infected cases.- A Pandemic Digital Global Architecture.

Product details

• Assisted by: Aleksander Byrski (Editor), Tadeusz Czachórski (Editor), Erol Gelenbe (Editor), Erol Gelenbe et al (Editor), Krzysztof Grochla (Editor), Yuko Murayama (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 03.09.2022
• EAN: 9783030865849
• ISBN: 978-3-0-3086584-9
• No. of pages: 127
• Dimensions: 155 mm x 7 mm x 235 mm
• Illustrations: IX, 127 p. 11 illus.
• Series: IFIP Advances in Information and Communication Technology
• Subject: Natural sciences, medicine, IT, technology > Medicine > General