1. BIG DATA ANALYTIC IN CONTACT TRACING FOR COVID-19 SURVEILLANCE: A SCOPING REVIEW.
- Author
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Aizzat bin Baharuddin, Muhammad Zul, Tahir, Fatin Athira, Zamri, Nurfarhana binti, Nagaraju, Aasha, Tangga Muthu, Kalahvathy A/p, and Ahmad Fauzi, Fatimah binti
- Subjects
PUBLIC health surveillance ,DIGITAL technology ,MOBILE apps ,CONTACT tracing ,DATA analytics ,SYSTEMATIC reviews ,QUARANTINE ,LITERATURE reviews ,MEDICAL screening ,COVID-19 - Abstract
Background: The use of big data in public health will facilitate more specialised, targeted research and clinical trials that will help stratify and separate groups of people who are at risk for various health issues. During the recent COVID-19 pandemic, big data was used to store enormous information about COVID-19 patients, which was used to identify cases and allocate public health resources appropriately. This also allowed scientists, health workers, and epidemiologists to make informed decisions and inspire medical innovation. Objectives: This scoping systematic review aimed to systematically describe the application of big data analytics in contact tracing for covid-19 surveillance. Materials and Methods: A systematic search was conducted in Scopus, ScienceDirect and EBSCOhost following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) guidelines, from November until December 2022. The following keywords were used for searching related articles: “big data analytic” AND “contact tracing” OR “closed contact*” AND “Covid19” OR “SARS-CoV2” AND “surveillance”. All included original articles were published in English from the year 2020 until 2022 were imported into EndNote20 for further storage, organization and review processes. Result: Upon rigorous searching and screening, a total of seven studies met the inclusion and exclusion criteria: 3 eligible articles were from China, 1 from Taiwan, 1 from Saudi Arabia, 1 from the United States, and 1 from Italy. Types of big data are digital technology using mobile apps and mobile Geo positioning, spatial-temporal GPS information, earth cognitive system satellites data and visualization tool data-driven documents. Conclusion: Big Data Analysis is essential because it can process and analyse large amounts of data quickly, allowing rapid reactions and timely solutions. Compared to traditional methods, it plays a substantial and effective role in the prevention and management of COVID-19. This analysis shows that this technology is a useful tool for contact tracing, breaking the chain of transmission, and guaranteeing quarantine compliance. [ABSTRACT FROM AUTHOR]
- Published
- 2023