Buchumschlag
Intelligent modeling, prediction, and diagnosis from epidemiological data: COVID-19 and beyond
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Bibliographische Detailangaben
Beteilige Person: Bhattacharyya, Siddhartha 1975- (VerfasserIn, HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Boca Raton, FL CRC Press 2022
Schriftenreihe:Chapman and Hall/CRC Computational Intelligence and Its Applications Ser
Links:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2939653
Abstract:Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Editor -- Contributors -- 1. Human Immune System and Infectious Disease -- 1.1 Introduction -- 1.2 Human Immune System -- 1.2.1 Components of the Immune System -- 1.2.2 Disease and Treatment of the Immune System -- 1.3 Infectious Diseases -- 1.3.1 Occurrences of Pandemic -- 1.4 Vaccines-Strengthening of the Adaptive Immune System: -- 1.4.1 Vaccine Manufacturing -- 1.4.2 Working of Vaccines -- 1.4.3 Vaccine Administration -- 1.4.4 Current Approved Vaccines against COVID-19 -- 1.5 Conclusion -- References -- 2. A Systematic Review of Predictive Models on COVID-19 with a Special Focus on CARD Modeling with SEI Formulation-An Indian Scenario -- 2.1 Introduction -- 2.2 Motivation of the Work -- 2.3 The Pandemics and Epidemics -- 2.4 COVID-19 in India -- 2.5 What Is Epidemiological Data? -- 2.6 Role of Predictive Modeling during COVID-19 -- 2.7 Predictive Models and India -- 2.7.1 Auto-Regressive Integrated Moving Average (ARIMA) -- 2.8 Brief of Prerequisite Concepts-CARD Model and SEI -- 2.8.1 Curve Fitting -- 2.8.2 Flattening the Curve -- 2.8.3 Analytical Hierarchical Process (AHP) -- 2.8.4 Cartogram -- 2.9 About the CARD Model -- 2.10 CARD Model: Pre- and Post Unlock in India -- 2.11 State-wise Evaluation Index (SEI) Model for Governance and Policy Making -- 2.12 Country-Wise Comparison of COVID-19 Scenario -- 2.13 Conclusion -- 2.13.1 From the Cartogram and State-Wise Indexing -- References -- 3. Data Analytics to Assess the Outbreak of the Coronavirus Epidemic: Opportunities and Challenges -- 3.1 Introduction -- 3.2 Background -- 3.2.1 Coronavirus -- 3.2.2 Data Analytics -- 3.3 Challenges and Opportunities -- 3.3.1 Historical Data -- 3.3.2 Biosensors -- 3.3.3 Challenge in the Process of Data -- 3.4 Application for Fighting COVID-19
Umfang:1 online resource (xvii, 213 Seiten) Illustrationen, Diagramme
ISBN:9781003158684

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