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-...

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Hlavní autoři: Shinde, Gitanjali Rahul, Kalamkar, Asmita Balasaheb, Mahalle, Parikshit N., Dey, Nilanjan
Médium: E-kniha Kniha
Jazyk:angličtina
Vydáno: Boca Raton, Fla CRC Press 2021
Taylor & Francis Group
Vydání:1
Edice:Intelligent Signal Processing and Data Analysis
Témata:
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
ISBN:0367558467, 9780367564957, 0367564955, 9780367558468
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Popis
Shrnutí: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 discussions 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. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.
Bibliografie:Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)
Includes bibliographical references and index
Other authors: Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, Nilanjan Dey
ISBN:0367558467
9780367564957
0367564955
9780367558468
DOI:10.1201/9781003095415