Note: Intro -- Preface -- Contents -- Editors and Contributors -- 1 Mitigate the Impact of Covid-19: Telehealth -- 1 Introduction -- 1.1 Healthcare Infrastructure in India -- 1.2 Telehealth -- 1.3 Telemedicine -- 1.4 Why Telehealth Has Come of Age Now -- 2 Telemedicine Solution eSanjeevaniOPD -- 2.1 Overview of Architecture -- 2.2 The Salient Features of Telehealth Facility -- 3 Detailed Architecture of Telehealth Model -- 3.1 Presentation Layer -- 3.2 Application Layer -- 3.3 Internal Storage -- 3.4 Allocation of Resources for the Developed Solution -- 3.5 eSanjeevani Uses Vertical Scalability -- 3.6 Importance of Cross Platform Testing -- 3.7 Interoperability -- 4 Comparative Strengths of Different Modes of Communications During Covid-19 -- 5 Conclusion -- References -- 2 Epidemic Models in Prediction of COVID-19 -- 1 Introduction -- 2 Time Series Models -- 2.1 ARMA Modeling -- 2.2 ARIMA Modeling -- 3 Epidemic Models with Mathematics -- 3.1 SEIR Compartmental Model -- 3.2 Models with Control Information -- 3.3 Spatial Models -- 3.4 Spatio-temporal Models -- 3.5 Markov Chain Models -- 4 Machine Learning and Deep Learning Models -- 4.1 Fb-Prophet Model -- 4.2 MIT Machine Learning Model to Predict Quarantine Outcome -- 4.3 Deep Learning Models for COVID-19 -- 4.4 Advantages of ML and Deep Learning Models in COVID-19 Prediction -- 5 Conclusions -- References -- 3 SIQRS Epidemic Modelling and Stability Analysis of COVID-19 -- 1 Introduction -- 2 Mathematical Model -- 3 Numerical Simulation and Discussion of the Results -- 4 Conclusion -- References -- 4 Mental Health Analysis of Students in Major Cities of India During COVID-19 -- 1 Introduction -- 2 Related Work -- 3 Details of Data -- 3.1 Study Location -- 3.2 Data Collection -- 3.3 Data Model -- 4 Sentimental Analysis of Tweets to Estimate the Severity of Psychological Stress. , 5 Analysis of Depressing Tweets -- 5.1 Depressing and Non-depressing Tweets -- 5.2 Depression Dynamics in Major Cities Along with Divisions of Rajasthan -- 5.3 Stress Level Versus Recovered COVID-19 Cases -- 5.4 Psychological Stress Level in Major Cities of India -- 6 Stress Dynamics in Students Due to COVID-19 and Lockdown -- 6.1 Dynamics of Students Tweets -- 6.2 Sentimental Analysis of Students Tweet -- 6.3 Stress Level Among Students in Different Cities of India -- 7 Conclusions -- References -- 5 Analyzing the Impact on Online Teaching Learning Process on Education System During New Corona Regime Using Fuzzy Logic Techniques -- 1 Introduction -- 1.1 Impact of COVID-19 in Education Sector -- 1.2 Fuzzy Logic -- 2 Methodology -- 2.1 Sample and Procedure -- 2.2 Normalized Weight of Skill Sets (NWS) and Synthesis of Preferences Using Analytic Hierarchy Process (AHP) -- 2.3 Fuzzy Logic in Evaluation Process -- 2.4 Implementation Process -- 3 Results and Discussion -- 4 Future Scope -- 5 Conclusion -- References -- 6 Healthcare 4.0 in Future Capacity Building for Pandemic Control -- 1 Introduction -- 2 Evolution of Healthcare -- 2.1 Digital Healthcare -- 2.2 Transition from Digital to Advanced Healthcare Systems -- 3 Healthcare in the Era of Pandemic -- 3.1 Challenges with Respect to COVID Patients -- 3.2 Challenges with Respect to Non-COVID Patients -- 4 Technology-Driven Health Care-Preparing for the Next-Generation Health Care -- 4.1 Technological Solutions to Deal with COVID Patients -- 4.2 Technological Solutions to Deal with Non-COVID Patients -- 5 Telemedicine-A Priceless Boon for Healthcare System -- 5.1 Telemedicine for Tacking Pandemic -- 5.2 Telemedicine Initiative in Various Countries -- 5.3 Future of Telemedicine -- 6 Discussion -- 7 Conclusion -- References -- 7 Preventive Behavior Against COVID 19: Role of Psychological Factors. , 1 Introduction -- 1.1 Preventive Health Behavior and COVID 19 Pandemic -- 1.2 Risk Communication -- 1.3 Hygiene Practices -- 1.4 Social Distancing -- 2 Psychological Factors and Preventive Health Behavior -- 2.1 Health Belief Model -- 2.2 Protection Motivation Theory -- 2.3 Theory of Planned Behavior -- 3 Risk Perception and COVID 19 -- 3.1 Risk Perception and COVID 19 -- 4 Adherence to Preventive Behavior -- 4.1 Factors Associated with Non-adherence -- 5 Conclusion -- References -- 8 Impact of the COVID-19 on Consumer Behavior Towards Organic Food in India -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Survey Method and Research Design -- 3.2 Questionnaire Development -- 3.3 Reliability and Validity of Questionnaire -- 3.4 Respondents Profile -- 4 Analysis and Result -- 4.1 Factors Discussion -- 4.2 Demographic Impact on Consumer Behavior Towards Organic Food -- 4.3 Income (Refer Table 6) -- 4.4 Education (Refer Table 7) -- 4.5 Age (Refer Table 8) -- 4.6 Profession (Refer Table 9) -- 4.7 Overall Frequencies and Agreement & -- Non-agreement Percentage -- 4.8 Discussion -- 4.9 Managerial Implication -- 4.10 Limitation and Further Scope of Study -- 5 Conclusion -- References -- 9 Socioeconomic Impacts and Opportunities of COVID-19 for Nepal -- 1 Introduction -- 2 Impacts of COVID-19 on Socioeconomic and Health Sectors -- 2.1 Sectors of Gross Domestic Production (GDP) and Employment Situation -- 2.2 Workers in the Informal Sector -- 2.3 Tourism -- 2.4 Agriculture and Livestock Sector -- 2.5 Remittances -- 2.6 Inflation and Food Commodities -- 2.7 Poor, Vulnerable Community and Women -- 2.8 Education -- 2.9 Health Sector -- 2.10 Social and Mental Stress -- 3 Discussion for Opportunities in Terms of Rebuild and Reforms on Socioeconomic and Health Sectors -- 3.1 The Rebuilding of Agriculture and Tourism Sectors. , 3.2 Reforms of the Public Health System and Education -- 4 Conclusion and Implication -- References -- 10 Strategic Decision in Long and Short Run for Cross-Country Commodity Market in the Post-COVID 19 Era -- 1 Introduction -- 2 Research Methodologies -- 3 Data Analysis and Interpretation -- 4 Conclusion -- References -- 11 Prediction of Novel Coronavirus (nCOVID-19) Propagation Based on SEIR, ARIMA and Prophet Model -- 1 Introduction -- 2 Related Work -- 3 SEIR Mathematical Modeling Based on Social Distancing -- 3.1 Social Distancing Applied for Coronavirus -- 4 Time Series Analysis of Corona -- 4.1 ARIMA -- 4.2 Prophet Time Series -- 5 Discussion -- 6 Conclusion -- References -- 12 Innovative Strategies to Understand and Control COVID-19 Disease -- 1 Introduction -- 2 Potential Strategies for Study and Diagnosis of Disease -- 2.1 Bioelectronics and Biosensors -- 2.2 Artificial Intelligence -- 2.3 Mathematical Modeling -- 2.4 3D Printing -- 2.5 Big Data -- 2.6 Robotics -- 2.7 Theranostic Nanoparticles -- 3 Current Strategies Used for the Treatment of COVID-19 -- 3.1 Immunological Approaches -- 3.2 Treatment Based on Vaccination -- 3.3 Antiviral Drugs -- 3.4 Indian Medicinal Plants Against SARS-CoV-2 -- 4 Conclusion and Future Recommendations -- References -- 13 An Investigation on COVID 19 Using Big Data Analytics and Artificial Intelligence -- 1 Introduction -- 1.1 Big Data -- 1.2 Data Analytics -- 1.3 Covid-19 -- 2 Characteristics of Big Data -- 3 Big Data on COVID-19 -- 4 Data Analytics on COVID-19 -- 4.1 Logistic Regression Analysis -- 4.2 Kaplan-Meier Analysis -- 4.3 Compartmental Models -- 4.4 Other Applications of Big Data on COVID-19 -- 5 Comparative Summary -- 6 Challenges Faced -- 6.1 Big Data and Economic Challenges -- 7 Conclusion -- References -- 14 Rise of Online Teaching and Learning Processes During COVID-19 Pandemic. , 1 Introduction -- 2 A Brief Literature Survey -- 3 Features of Online Teaching and Learning Process: The Pros and Cons -- 3.1 Effectiveness of Online Teaching/Learning as Compared to Classroom Teaching/Learning -- 3.2 Infrastructure Requirements for Online Teaching/Learning -- 3.3 Challenges of Online Teaching/learning and How Do Deal with Them -- 3.4 Skills Required by a Teacher for the Online Teaching Process -- 3.5 Moral Duties of Students and Parents to Support Online Teaching Methodologies -- 3.6 Potential Consequences of Online Education Model on Health -- 3.7 Scope of Online Teaching/learning in the Post-Pandemic World -- 4 Comparative Analysis of Digital Tools Available to Aid Online Teaching and Learning Process -- 4.1 Google Classroom -- 4.2 Zoom App -- 4.3 Webex -- 4.4 Google Meet -- 4.5 Microsoft Teams -- 5 Online Teaching and Learning Practices During COVID-19 Pandemic in India: A Brief Online Survey -- 5.1 Data Sampling -- 5.2 Data Summarization and Analysis -- 6 Conclusions -- Appendix -- A.1 SHAGUN -- A.2 DIKSHA -- A.3 e-Pathshala -- A.4 National Repository of Open Educational Resources (NROER) -- A.5 SWAYAM -- A.6 NPTEL -- References -- 15 Robotic Technology for Pandemic Situation -- 1 Introduction -- 2 Robotic Technologies -- 3 Automatic Vacuum Cleaner Robots -- 3.1 Components of the Cleaning Robot System -- 4 Smart Wet Cleaning Robots -- 5 Robotic Nursing Assistant -- 5.1 Dinsow -- 5.2 Paro -- 5.3 Pepper -- 5.4 Trina -- 6 Hospi Robot -- 7 Helpmate Robot -- 8 Automated Guided Vehicle -- 9 Delivery Robots -- 10 Delivery Drone Robot -- 11 Sanitizing Drone Robot -- 12 Conclusion -- References -- 16 Face Mask Detection Using AI -- 1 Introduction -- 1.1 Application Areas of Face Mask Detection System -- 2 Artificial Intelligence (AI)-The Right Way Solution -- 3 Deep Learning -- 4 Deep Learning in Face Mask Detection. , 5 Face Mask Detection-A Simple Implementation Using OpenCV.

Note: Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Authors -- 1. Introduction to Bioinformatics -- 1 Introduction to Bioinformatics -- 1.1 Importance of Bioinformatics -- 1.2 DNA, RNA and Protein Sequences -- 1.2.1 DNA -- 1.2.2 RNA -- 1.2.3 Protein -- 1.3 Central Dogma of Molecular Biology -- 1.4 The Folding Problem -- 1.5 Genomics and Proteomics -- 1.5.1 Genomics -- 1.5.2 Proteomics -- Appendix -- 2. Computational Biology -- 2.1 Sequence Alignment -- 2.2 Global Sequence Alignment -- 2.3 Local Sequence Alignment -- 2.4 Multiple Sequence Alignment -- Appendix -- Appendix -- 3. Phylogenetics -- 3.1 Introduction to Phylogenetics -- 3.1.1 Rooted Phylogenetic Tree -- 3.1.2 Unrooted Phylogenetic Tree -- 3.2 Molecular Phylogenetics -- 3.3 Phylogenetic Trees and Their Construction -- 3.4 Distance Matrix Methods of Phylogenetic Tree Construction -- 3.4.1 Unweighted Pair Group Method with Arithmetic Mean (UPGMA) - Distance Matrix Method -- 3.4.2 Neighbor Joining Method - Distance Matrix Method -- 3.5 Maximum Likelihood - Character-Based Method for Phylogenetic Tree Construction -- Appendix -- 4. RNA -- 4.1 Structure of RNA -- 4.1.1 Primary Structure of RNA -- 4.1.2 Secondary Structure of RNA -- 4.1.3 Tertiary Structure of RNA -- 4.2 Types of RNA -- 4.3 Functions of RNA -- Appendix -- 5. Pseudoknot -- 5.1 Definition -- 5.1.1 Pseudoknot vs Knot -- 5.1.2 Example of Pseudoknot -- 5.2 Biological Significance of RNA Pseudoknot -- 5.3 Representations of a Pseudoknot -- 5.3.1 Planar Graph Representation -- 5.3.2 Circular Representation -- 5.3.3 Dot Bracket Representation -- 5.3.4 Arc Representation -- 5.4 Types of Pseudoknots -- 5.4.1 H-Type Pseudoknot -- 5.4.2 H-H Type Pseudoknot -- 5.4.3 H-L Type Pseudoknot -- 5.4.3.1 H-Lout Type Pseudoknot -- 5.4.3.2 H-Lin Type Pseudoknot -- 5.4.4 L-L Type Pseudoknot. , 5.4.5 Kissing Hairpin Pseudoknot or H-H-H Type Pseudoknot -- 5.4.6 Three-Knot Pseudoknot -- 5.4.7 Closed Five-Chain Pseudoknot -- 5.4.8 Multiloop Pseudoknot -- 5.4.9 I-Type Pseudoknot -- 5.4.10 B-Type Pseudoknot -- Appendix -- 6. Pseudoknot Prediction Techniques -- 6.1 Dynamic Programming Technique -- 6.2 Comparative Sequence Analysis Technique -- 6.3 Heuristics -- 6.4 Formal Grammar Technique -- 6.5 Integer Programming Technique -- 6.6 Inverse Folding Technique -- Appendix -- 7. Pseudoknot Grammar -- 7.1 Chomsky Hierarchy of Grammars -- 7.2 Context Free Grammar -- 7.3 Parallel Communicating Grammar System -- 7.4 Context Sensitive Grammar -- 7.5 Pair Stochastic Tree Adjoining Grammar -- 7.5.1 Substitution -- 7.5.2 Adjunction -- 7.6 Multiple Context Free Grammar -- 7.7 Path Controlled Grammar -- Appendix -- 8. New Areas of Bioinformatics -- 8.1 Drug Target Identification -- 8.1.1 Target Identification and Validation -- 8.1.2 Tools for Target Identification and Validation -- 8.1.3 Target Validation -- 8.2 Nutrigenomics -- 8.2.1 Prospects and Applications of Nutrigenomics -- 8.3 Toxicogenomics -- 8.4 Bioterrorism -- 8.4.1 Category A Bioterrorism Agents -- 8.4.2 Category B Bioterrorism Agents -- 8.4.3 Category C Bioterrorism Agents -- 8.4.4 Why Are Biological Weapons or Bioterrorism Agents So Disruptive? -- 8.4.5 Effects of Biological Attack -- Appendix -- Glossary -- Important Databases -- References -- Index.