TY  - BOOK
AU  - Shinde,Gitanjali Rahul
AU  - Kalamkar,Asmita Balasaheb
AU  - Mahalle,Parikshit N.
AU  - Dey,Nilanjan
TI  - Data analytics for pandemics: a COVID-19 case study 
T2  - CRC focus series
SN  - 9781000204414
AV  - RA644.C67 S55 2021
U1  - 616.2/4140727 23
PY  - 2021///]
CY  - Boca Raton, FL
PB  - CRC Press
KW  - COVID-19 (Disease)
KW  - Statistical methods
KW  - Data processing
KW  - Forecasting
KW  - Big data
N2  - "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-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. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies"--
UR  - https://www.taylorfrancis.com/books/9781003095415
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -