Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
Department of Mathematics and Computing, Mount Royal University, Calgary, AB, Canada.
Front Public Health. 2024 Apr 26;12:1347862. doi: 10.3389/fpubh.2024.1347862. eCollection 2024.
The COVID-19 pandemic has necessitated the development of robust tools for tracking and modeling the spread of the virus. We present 'K-Track-Covid,' an interactive web-based dashboard developed using the R Shiny framework, to offer users an intuitive dashboard for analyzing the geographical and temporal spread of COVID-19 in South Korea. Our dashboard employs dynamic user interface elements, employs validated epidemiological models, and integrates regional data to offer tailored visual displays. The dashboard allows users to customize their data views by selecting specific time frames, geographic regions, and demographic groups. This customization enables the generation of charts and statistical summaries pertinent to both daily fluctuations and cumulative counts of COVID-19 cases, as well as mortality statistics. Additionally, the dashboard offers a simulation model based on mathematical models, enabling users to make predictions under various parameter settings. The dashboard is designed to assist researchers, policymakers, and the public in understanding the spread and impact of COVID-19, thereby facilitating informed decision-making. All data and resources related to this study are publicly available to ensure transparency and facilitate further research.
COVID-19 大流行需要开发强大的工具来跟踪和建模病毒的传播。我们展示了“K-Track-Covid”，这是一个使用 R Shiny 框架开发的交互式网络仪表板，为用户提供了一个直观的仪表板，用于分析韩国 COVID-19 的地理和时间传播。我们的仪表板采用动态用户界面元素，使用经过验证的流行病学模型，并集成区域数据，提供定制的可视化显示。仪表板允许用户通过选择特定的时间范围、地理区域和人口统计组来自定义数据视图。这种自定义功能可生成与 COVID-19 病例的日常波动和累积计数以及死亡率统计相关的图表和统计摘要。此外，仪表板提供了基于数学模型的模拟模型，使用户能够在各种参数设置下进行预测。该仪表板旨在帮助研究人员、政策制定者和公众了解 COVID-19 的传播和影响，从而促进明智的决策。与这项研究相关的所有数据和资源都是公开的，以确保透明度并促进进一步的研究。
