The new coronavirus became a severe health issue for the world. This situation has motivated studies of different areas to combat this pandemic. In software engineering, we point out data visualization projects to follow the disease evolution, machine learning to estimate the pandemic behavior, and computer vision processing radiologic images. Most of these projects are stored in version control systems, and there are discussions about them in Question & Answer websites. In this work, we conducted a Mining Software Repository on a large number of questions and projects aiming to find trends that could help researchers and practitioners to fight against the coronavirus. We analyzed 1,190 questions from Stack Overflow and Data Science Q\&A and 60,352 GitHub projects. We identified a correlation between the questions and projects throughout the pandemic. The main questions about coronavirus are how-to, related to web scraping and data visualization, using Python, JavaScript, and R. The most recurrent GitHub projects are machine learning projects, using JavaScript, Python, and Java.
翻译：新的冠状病毒成为全世界一个严重的健康问题。这种情况促使人们研究不同领域以防治这一流行病。在软件工程中,我们指出数据可视化项目以跟踪疾病演变、机器学习以估计流行病行为和计算机视觉处理放射图像。这些项目大多储存在版本控制系统中,并在问答网站上讨论。在这项工作中,我们对许多问题和项目进行了采矿软件储存库,目的是找到有助于研究人员和从业者对抗冠状病毒的趋势。我们分析了1,190个来自Stack overflow and Data Science {A}和60,352 GitHub项目的问题。我们查明了整个大流行病中的问题和项目之间的关联。关于冠状病毒的主要问题是如何与网络剪切和数据视觉化有关,使用Python、JavaScript和R。 最经常的GitHub项目是机器学习项目,使用JavaScript、Python和Java。
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