Data Science Driven Analysis of the Impact of COVID-19

Serban Gabriel Timofte, Ioana Ruxandra Stroe, Daniel Tascu, Raluca Cristina Tertes and Radu Ioan Mogos
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Radu Ioan Mogos: The Bucharest University of Economic Studies, Romania

Database Systems Journal, 2023, vol. 14, issue 1, 31-45

Abstract: In the context of a pandemic that emerged with lightning speed, data science has become a cornerstone for governments decision-making processes. By analyzing numerous centralized databases, researchers have been able to identify trends, the spread of the virus, and run artificial intelligence (AI) simulations to anticipate crucial points of the COVID-19 pandemic. Data warehouses created during this period offer real-time monitoring of the global effects of the virus. The health databases are already common in national systems, but their usefulness rises above storing medical histories. The cross-disciplinary nature of the COVID-19 pandemic accentuates the need for collaboration between doctors, medical specialists and data analysts, data engineers, and Artificial Intelligence engineers. This article provides a comprehensive overview of how databases and data warehouses can offer different scenarios for citizens and health specialists alike.

Keywords: Data Science; Data Warehouses; COVID-19; Data Analytics (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:14:y:2023:i:1:p:31-45

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