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Review on the Application of Big Data Algorithms to Understand a Pandemic Virus
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Author(s): Angélica Guzmán-Ponce (Universitat Jaume I, Spain), J. Leonardo González-Ruíz (Universidad Autónoma del Estado de México, Mexico)and Iván Francisco-Valencia (Universidad Autónoma del Estado de México, Mexico)
Copyright: 2023
Pages: 23
Source title:
Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes
Source Author(s)/Editor(s): David Valle-Cruz (Universidad Autónoma del Estado de México, Mexico), Nely Plata-Cesar (Universidad Autónoma del Estado de México, Mexico)and Jacobo Leonardo González-Ruíz (Universidad Autónoma del Estado de México, Mexico)
DOI: 10.4018/978-1-6684-5624-8.ch010
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Abstract
The COVID-19 pandemic is an ever-evolving and accumulating public health crisis affecting global populations. Scientist worldwide have generated proposal through big data technics due to the massive amount of data that provide valuable and relevant knowledge; these include clinical and treatment information. This chapter first defines the related concepts of big data and analyzes the technical advantages of the state of the art. At the same time, it discusses challenges and issues associated with the review works. Big data applications focused on the COVID-19 disease can fight the pandemic.
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