Hak Francini, Abelha António, Santos Manuel
Algoritmi Research Center, University of Minho, Braga, Portugal.
Procedia Comput Sci. 2020;177:552-555. doi: 10.1016/j.procs.2020.10.077. Epub 2020 Nov 11.
In late 2019, a new SARS-Cov-2 class virus originally appeared in the city of Wuhan in China. It quickly spread through human contact, reaching more than 100,000 confirmed daily cases worldwide by the end of May 2020. The results of some previous outbreaks have revealed that data sharing is critical in the effectiveness of its treatment, as well as in early warnings of future crises. In this sense, this literature review article aims to identify open approaches and their advantages and disadvantages in the context of health emergencies. Thus, an overview of the impact of Open Science for the current pandemic is presented, leaving open questions and suggestions for future work.
2019年末，一种新型的严重急性呼吸综合征冠状病毒2（SARS-CoV-2）类病毒最初在中国武汉市出现。它通过人际接触迅速传播，到2020年5月底，全球每日确诊病例超过10万例。先前一些疫情的结果表明，数据共享对于其治疗效果以及未来危机的早期预警至关重要。从这个意义上讲，这篇文献综述文章旨在确定在卫生紧急情况背景下的开放方法及其优缺点。因此，本文概述了开放科学对当前大流行的影响，并提出了未解决的问题和对未来工作的建议。
