Data Science Driven Analysis of the Impact of COVID-19

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) s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Database systems journal 2024-05, Vol.XIV, p.24-32
Hauptverfasser: Serban Gabriel TIMOFTE, Ioana Ruxandra STROE, Daniel TASCU, Raluca Cristina TERTES, Radu Ioan MOGOS
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:2069-3230