Department of Information and Communications Engineering, University of Murcia, Murcia 30100, Spain.
Department of Computer Engineering, University of Murcia, Murcia 30100, Spain.
J Biomed Inform. 2021 May;117:103760. doi: 10.1016/j.jbi.2021.103760. Epub 2021 Mar 30.
Since the first reported case in Wuhan in late 2019, COVID-19 has rapidly spread worldwide, dramatically impacting the lives of millions of citizens. To deal with the severe crisis resulting from the pandemic, worldwide institutions have been forced to make decisions that profoundly affect the socio-economic realm. In this sense, researchers from diverse knowledge areas are investigating the behavior of the disease in a rush against time. In both cases, the lack of reliable data has been an obstacle to carry out such tasks with accuracy. To tackle this challenge, COnVIDa (https://convida.inf.um.es) has been designed and developed as a user-friendly tool that easily gathers rigorous multidisciplinary data related to the COVID-19 pandemic from different data sources. In particular, the pandemic expansion is analyzed with variables of health nature, but also social ones, mobility, etc. Besides, COnVIDa permits to smoothly join such data, compare and download them for further analysis. Due to the open-science nature of the project, COnVIDa is easily extensible to any other region of the planet. In this way, COnVIDa becomes a data facilitator for decision-making processes, as well as a catalyst for new scientific researches related to this pandemic.
自 2019 年末武汉首例报告病例以来,COVID-19 已迅速在全球范围内传播,极大地影响了数百万人的生活。为应对大流行带来的严重危机,全球各机构被迫做出对社会经济领域产生深远影响的决策。在这方面,来自不同知识领域的研究人员正在争分夺秒地研究疾病的行为。在这两种情况下,缺乏可靠的数据都是准确完成这些任务的障碍。为了应对这一挑战,COnVIDa(https://convida.inf.um.es)被设计和开发为一个用户友好的工具,可以方便地从不同数据源中收集与 COVID-19 大流行相关的严格多学科数据。特别是,使用健康性质的变量,以及社会性质的变量、流动性等来分析大流行的扩展。此外,COnVIDa 允许平滑地加入这些数据,并对其进行比较和下载以进行进一步分析。由于该项目具有开放科学的性质,COnVIDa 可以轻松扩展到地球的任何其他地区。这样,COnVIDa 成为决策过程的数据促进者,也是与该大流行相关的新科学研究的催化剂。