Computer science protecting human society against epidemics : first IFIP TC 5 international conference, ANTICOVID 2021, virtual event, June 28-29, 2021 : revised selected papers / / Aleksander Byrski [and four others] editors

• Record Nr.: UNINA9910495163403321
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2021]; ©2021
• ISBN: 3-030-86582-7
• Descrizione fisica: 1 online resource (135 pages)
• Collana: IFIP Advances in Information and Communication Technology ; ; Volume 616
• Disciplina: 610.285
• Soggetti: Medical informatics; COVID-19 Pandemic, 2020- - Data processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Bioinformatic and MD Analysis of N501Y SARS-CoV-2 (UK) Variant -- 1 Introduction -- 2 Methods and Results -- 2.1 FoldX Calculations - Mutagenesis Study -- 2.2 Model Preparation -- 2.3 Molecular Dynamics -- 3 Discussion -- 4 Conclusions -- References -- Ensuring Interoperability of Laboratory Tests and Results: A Linguistic Approach for Mapping French Laboratory Terminologies with LOINC -- 1 Background and Significance -- 1.1 LOINC: A Closer Look -- 1.2 Related Work -- 2 Objective -- 3 Materials and Methods -- 3.1 Input Data: Structural and Linguistic Analyses -- 3.2 Linguistic Markers: The Contributing Factor in the Mapping Process -- 3.3 Enriched Linguistic Model for Mapping LOINC Data -- 3.4 Mapping Strategy -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Results -- 4.3 Discussion -- 5 Conclusion -- References -- Volunteer Computing Project SiDock@home for Virtual Drug Screening Against SARS-CoV-2 -- 1 Introduction -- 2 BOINC-Based Projects Targeting SARS-CoV-2 -- 2.1 BOINC Middleware -- 2.2 BOINC Projects -- 3 SiDock@home Project -- 3.1 Setup of a BOINC Project -- 3.2 High-Throughput Virtual Screening in SiDock@home -- 4 Conclusion -- References -- An Empirical Investigation of Pandemic ; Impact on IT Students' Educational Schedule -- 1 Introduction -- 2 Brief Publication Analysis -- 3 Student Survey Results -- 4 Conclusion -- References -- How Newspapers Portrayed COVID-19 -- 1 Introduction -- 2 Background Study -- 3 Data Description -- 4 Data Analysis -- 4.1 Validation of Covid Related Handpicked Features -- 4.2 Guardian (UK) and Daily Star (BD) Discussed Almost Similar Types of Issues -- 4.3 Initial Highlight over Covid and Gradual Degrade in Focus -- 4.4 Propensity of Warning vs Comforting Sentences -- 5 Summary -- 6 Conclusion -- References.; Approximate Solutions of the RSIR Model of COVID-19 Pandemic -- 1 Introduction -- 2 Basic Definitions -- 3 Investigation of the RSIR Model -- 4 Examples of Current Situation Analysis -- 5 Conclusion -- References -- Information Entropy Contribution to COVID-19 Waves Analysis -- 1 Introduction -- 2 Information Entropy -- 2.1 Competition Evolutionary Model for Shannon Entropy -- 2.2 Maximal and Normalized of Cumulative Entropy -- 3 Selecting Data for COVID-19 Entropy Dynamics -- 4 Nominal and Normalized COVID-19 Entropy -- 5 Increased Entropy in 2nd and 3rd COVID-19 Waves -- 6 Conclusions and Further Research -- References -- Computing the Death Rate of COVID-19 -- 1 Introduction -- 1.1 Challenges in Estimating the Death Rate -- 1.2 Prior Approaches to Estimating the Death Rate -- 1.3 Drawbacks of the Prior Approaches -- 1.4 A New Data-Driven Approach to Estimating the Death Rate -- 1.5 Synopsis of Our Findings -- 1.6 Road Map for the Rest of the Paper -- 2 Prior Work and How We Differ -- 3 Definitions and Notation -- 4 Estimating the Infections Sequence -- 5 Inferring IFR and Lag Using the Infections Sequence and Deaths Sequence -- 6 Inferring IFR in Smaller Time Intervals -- 7 Evaluation -- 8 Conclusions and Future Work -- References -- Towards a System to Monitor the Virus's Aerosol-Type Spreading -- 1 Introduction -- 2 Infection Risk Modelling -- 3 System Design -- 3.1 Architecture -- 3.2 Information Visualisation -- 4 Prototype -- 4.1 Initial View -- 4.2 Building Plan Reports -- 4.3 Room Reports -- 5 Conclusions -- References -- Comparison Between Two Systems for Forecasting Covid-19 Infected Cases -- 1 Introduction -- 2 The Review of Two System for Forecasting Covid-19 -- 3 Computational Experiments -- 3.1 Covid-19 Datasets -- 3.2 Analysing the Obtained Results by Using the Two Different Systems -- 4 Conclusion -- References.; A Pandemic Digital Global Architecture -- 1 Introduction -- 2 Background on Readiness -- 3 What Is Needed? -- 3.1 Status and Outcome Trusted Information -- 3.2 The Skills Needed -- 4 The Pandemic Dashboard Information System (PDIS) -- 4.1 The Purpose of the PDIS -- 4.2 Operational Phase 1. Regular Monitoring and Predicting -- 4.3 Operational Phase 2. Pandemic Reporting -- 4.4 Data -- 4.5 Information -- 4.6 Infrastructure -- 5 Key Design Points -- 5.1 Timeliness -- 5.2 Ownership, Sponsorship, and Funding -- 6 The High-Level PDIS Architecture Model -- 6.1 Functional Components -- 6.2 The Physical Model -- 7 Key Decisions -- 8 Conclusion and Proposal -- References -- Author Index.