Data Analytics for Pandemics: A Covid-19 Case Study

ISBN-13: 9780367558468 / Angielski / Twarda / 2020 / 68 str.

Gitanjali Rahul Shinde; Asmita Balasaheb Kalamkar; Parikshit N. Mahalle

Opis

The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies.

Spis treści

1. COVID-19 Outbreak1.1 Introduction1.2 Epidemic, Pandemic Overview1.2.1 Stages of Disease1.2.2 Pandemic Phases1.3 Novel Coronavirus1.4 Medical Overview – Nature and Spread1.5 Vulnerability Index2. Data processing and knowledge Extraction2.1 Data Sources and Related Challenges2.2 Data Storage2.2.1 Storage Services/Platforms2.2.2 Big Data Analytics Services2.2.3 Data Warehousing Services2.3 Data Processing2.3.1 Data Preparation2.3.2 Data Cleaning2.4 knowledge Extraction2.4.1 knowledge Extraction based on Data Types2.4.2 knowledge Extraction Techniques3. Big Data Analytics for COVID-193.1 All You Need to Know3.2 Big Data Analytics and COVID-193.2.1 Statistical Parameters3.2.2 Predictive Analytics3.3 Data Modelling and Performance 3.3.1 Data Modelling Phases3.3.2 Ensemble Data Model3.3.3 Model Performance3.4 Big Data Technique 3.4.1 Association Rule Learning3.4.2 Classification Tree Analysis3.4.3 Genetic Algorithm3.4.4 Machine Learning3.4.5 Regression Analysis3.4.6 Social Network Analysis3.5 Big Data Tools and Technology4. Mitigation Strategiesand Recommendations4.1 Case Studies of Covid-19: Global Outbreak4.2 Mitigation Strategies and Discussion4.3 Issues and Challenges4.4 Recommendations4.5 Conclusions4.6 Future Outlook