Computer Science Protecting Human Society Against Epidemics: First IFIP TC 5 International Conference, ANTICOVID 2021, Virtual Event, June 28–29, 2021, ... and Communication Technology Book 616)

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. 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 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