Data analytics for pandemics : a COVID-19 case study / Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, Nilanjan Dey.

By: Shinde, Gitanjali Rahul, 1983- [author.]Contributor(s): Kalamkar, Asmita Balasaheb [author.] | Mahalle, Parikshit N [author.] | Dey, Nilanjan, 1984- [author.]Material type: TextTextSeries: Publisher: Boca Raton, FL : CRC Press, [2021]Copyright date: ©2021Edition: First editionDescription: 1 online resource (xv, 68 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781000204414; 1000204413Subject(s): COVID-19 (Disease) -- Statistical methods | COVID-19 (Disease) -- Data processing | COVID-19 (Disease) -- Forecasting | Big dataDDC classification: 616.2/4140727 LOC classification: RA644.C67 | S55 2021Online resources: Taylor & Francis | OCLC metadata license agreement 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"-- Provided by publisher.
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"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"-- Provided by publisher.

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