评论 长奥萨欣等人. 基于黑盒子的皮尔森相关性方法的COVID-19预测. 诊断 2023,13 ,1264 年的时间
Manuel Graña1, Goizalde Badiola-Zabala1, Guillermo Cano-Escalera1
1Computational Intelligence Group, Computer Science Faculty, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain.
Diagnostics (Basel, Switzerland)
|November 27, 2024
概括
2020年3月宣布的COVID-19大流行,刺激了科学出版物的大量激增. 研究迅速扩展到各种领域,包括流行病学和公共卫生.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 传染病研究 传染病研究
背景情况:
- 世界卫生组织在2020年3月宣布COVID-19为全球流行病.
- 这一宣言导致了前所未有的科学研究.
- 出版物涵盖了大流行病的许多方面,包括流行病学建模.
研究的目的:
- 分析与COVID-19大流行相关的科学出版物的范围和趋势.
- 了解从全球卫生危机中出现的研究环境.
- 在疫情期间确定科学调查的关键领域.
主要方法:
- 科学文献数据库的图书统计分析.
- 聚焦COVID-19的研究论文的内容分析.
- 随着时间的推移,对出版物输出的趋势分析.
主要成果:
- 2020年3月之后,COVID-19相关出版物的显著指数增长被观察到.
- 流行病学和公共卫生成为主要的研究领域.
- 研究成果表明,全球对疫情的反应迅速.
结论:
- COVID-19大流行刺激了科学研究的大规模和快速扩张.
- 出版的激增凸显了全球科学界对危机的参与.
- 持续分析对于理解长期研究影响至关重要.
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