论文标题
巴西圣保罗州的COVID-19传播的视觉分析
Visual analytics of COVID-19 dissemination in São Paulo state, Brazil
论文作者
论文摘要
视觉分析技术是支持决策并应对增加数据的有用工具，这在监视自然或人工现象时尤其重要。在监测疾病进展时，视觉分析方法可以帮助决策者选择理解甚至防止传播路径。在本文中，我们提出了一种新的视觉分析工具，用于监视Covid-19的传播。我们使用城市的K-Neart邻居来模仿邻近城市，并根据正在考虑的城市及其社区的比较来分析Covid-19-19-19。此外，基于时期进行了这种分析，这有助于评估隔离政策。我们通过分析巴西圣保罗州邻近城市Covid-19的进展来验证我们的工具。
Visual analytics techniques are useful tools to support decision-making and cope with increasing data, which is particularly important when monitoring natural or artificial phenomena. When monitoring disease progression, visual analytics approaches help decision-makers choose to understand or even prevent dissemination paths. In this paper, we propose a new visual analytics tool for monitoring COVID-19 dissemination. We use k-nearest neighbors of cities to mimic neighboring cities and analyze COVID-19 dissemination based on the comparison of a city under consideration and its neighborhood. Moreover, such analysis is performed based on periods, which facilitates the assessment of isolation policies. We validate our tool by analyzing the progression of COVID-19 in neighboring cities of São Paulo state, Brazil.
