Data Analytics for Pandemics A COVID-19 Case Study

• Main Authors: Shinde, Gitanjali Rahul, Kalamkar, Asmita Balasaheb, Mahalle, Parikshit N., Dey, Nilanjan
• Format: eBook Book
• Language: English
• Published: Boca Raton, Fla CRC Press 2021; Taylor & Francis Group
• Edition: 1
• Series: Intelligent Signal Processing and Data Analysis
• Subjects: Big Data; big data analytics; BIOMEDICALSCIENCEnetBASE; BIOSCIENCEnetBASE; COMPUTERSCIENCEnetBASE; COVID-19; COVID-19 (Disease); COVID-19 (Disease) > Data processing; COVID-19 (Disease) > Forecasting; COVID-19 (Disease) > Statistical methods; Data Preparation & Mining; Data Processing; epidemic trend analysis; Epidemiology; Infectious Diseases; INFORMATIONSCIENCEnetBASE; Knowledge Extraction; Mitigation; Pandemic; Prediction; SCI-TECHnetBASE; Statistical methods; STATSnetBASE; STMnetBASE; timeline progression; Object Storage; Infant Feeding Options; Big Data Analytics; Cluster Transmission; Data Preprocessing; Amazon S3; ASOS; Pregnant Ladies; Ml Model; NTT; Cloud Platforms; Semi-supervised Learning; Hybrid Neural Network Models; Block Storage; Data Preprocessing Techniques; Knowledge Extraction; Object Storage Service; Community Mitigation; Big Data; NTT DOCOMO; Situational Awareness; Storage Service; Big Data Tools; Data Cleaning Tools; MERS

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-...