Data analytics for pandemics: a COVID-19 case study
"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…
Read More ↓Title Statements
- Full title :Data analytics for pandemics : a COVID-19 case study / Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, Nilanjan Dey.
Summary
"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"--
Read More ↓Edition Statements
- Publication Date:©2021
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:©2021
The Physical Object
- Description:1 online resource (xv, 68 pages) : : illustrations.
Edition Identifiers
- ISBN:9781000204414, 1000204413, 9781003095415, 1003095410, 9781000204452, 1000204456
- oclc:on1154861973
- LC Classification:RA644.C67
- Dewey Decimal:616.2/4140727
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