Healey Christopher G, Simmons Susan J, Manivannan Chandra, Ro Yoonchul
Department of Computer Science, North Carolina State University, Raleigh, North Carolina, USA.
Institute for Advanced Analytics, North Carolina State University, Raleigh, North Carolina, USA.
Big Data. 2022 Apr;10(2):95-114. doi: 10.1089/big.2021.0023. Epub 2022 Jan 18.
The coronavirus disease COVID-19 was first reported in Wuhan, China, on December 31, 2019. The disease has since spread throughout the world, affecting 227.2 million individuals and resulting in 4,672,629 deaths as of September 9, 2021, according to the Johns Hopkins University Center for Systems Science and Engineering. Numerous sources track and report information on the disease, including Johns Hopkins itself, with its well-known Novel Coronavirus Dashboard. We were also interested in providing information on the pandemic. However, rather than duplicating existing resources, we focused on integrating sophisticated data analytics and visualization for region-to-region comparison, trend prediction, and testing and vaccination analysis. Our high-level goal is to provide visualizations of predictive analytics that offer policymakers and the general public insight into the current pandemic state and how it may progress into the future. Data are visualized using a web-based jQuery+Tableau dashboard. The dashboard allows both novice viewers and domain experts to gain useful insights into COVID-19's current and predicted future state for different countries and regions of interest throughout the world.
2019年12月31日,中国武汉首次报告了新型冠状病毒肺炎(COVID-19)。据约翰·霍普金斯大学系统科学与工程中心的数据,自那以后,该疾病已蔓延至全球,截至2021年9月9日,已感染2.272亿人,导致4672629人死亡。包括约翰·霍普金斯大学在内的众多机构通过其著名的新型冠状病毒数据仪表盘追踪和报告该疾病的信息。我们也希望提供有关这场大流行的信息。然而,我们没有重复现有的资源,而是专注于整合复杂的数据分析和可视化,以进行地区间比较、趋势预测以及检测和疫苗接种分析。我们的高层次目标是提供预测分析的可视化,让政策制定者和公众了解当前的大流行状况以及它未来可能如何发展。数据通过基于网络的jQuery + Tableau数据仪表盘进行可视化展示。该数据仪表盘使新手观众和领域专家都能深入了解COVID-19在全球不同感兴趣国家和地区的当前及预测的未来状况。