Big Data COVID-19 Systematic Literature Review: Pandemic Crisis



Haafza, Laraib Aslam, Awan, Mazhar Javed, Abid, Adnan, Yasin, Awais, Nobanee, Haitham ORCID: 0000-0003-4424-5600 and Farooq, Muhammad Shoaib
(2021) Big Data COVID-19 Systematic Literature Review: Pandemic Crisis. ELECTRONICS, 10 (24). p. 3125.

Access the full-text of this item by clicking on the Open Access link.

Abstract

<jats:p>The COVID-19 pandemic has frightened people worldwide, and coronavirus has become the most commonly used phrase in recent years. Therefore, there is a need for a systematic literature review (SLR) related to Big Data applications in the COVID-19 pandemic crisis. The objective is to highlight recent technological advancements. Many studies emphasize the area of the COVID-19 pandemic crisis. Our study categorizes the many applications used to manage and control the pandemic. There is a very limited SLR prospective of COVID-19 with Big Data. Our SLR study picked five databases: Science direct, IEEE Xplore, Springer, ACM, and MDPI. Before the screening, following the recommendation, Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) were reported for 893 studies from 2019, 2020 and until September 2021. After screening, 60 studies met the inclusion criteria through COVID-19 data statistics, and Big Data analysis was used as the search string. Our research’s findings successfully dealt with COVID-19 healthcare with risk diagnosis, estimation or prevention, decision making, and drug Big Data applications problems. We believe that this review study will motivate the research community to perform expandable and transparent research against the pandemic crisis of COVID-19.</jats:p>

Item Type: Article
Uncontrolled Keywords: Big Data applications, Big Data, pandemic crisis, machine learning, artificial intelligence, deep learning, COVID-19, environment, public health, crisis identification, pandemic
Divisions: Faculty of Humanities and Social Sciences > School of Histories, Languages and Cultures
Depositing User: Symplectic Admin
Date Deposited: 14 Feb 2023 10:43
Last Modified: 15 Mar 2024 18:12
DOI: 10.3390/electronics10243125
Open Access URL: https://doi.org/10.3390/electronics10243125
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3168400