论文标题
交互式流行病学图中的时间和空间元素
Temporal and Spatial Elements in Interactive Epidemiological Maps
论文作者
论文摘要
自这些学科的开始以来，地图在流行病学和公共卫生中发挥了重要作用。随着地理信息系统和高级信息可视化技术的出现，互动图已成为分析疾病发生率和流行率的地理模式的重要工具，以及公共卫生知识的交流，这是通过基于Web的基于Web的地图和疾病监测的``dashboardance''在COVID9 pandepic''''在基于Web的地图和疾病监视的增殖所描述的。尽管这种互动图通常可以有效地支持静态空间分析，但对涉及分布式和动态数据源的空间流行病学可视化和建模的支持，并且证明对疾病传播时间方面的分析的支持已被证明更具挑战性。在流行病学和公共卫生工作中的互动图应用中，将这两个方面结合起来至关重要。在本文中，我们在偏远地区支持疾病监测的背景下讨论了这些问题，包括用于分布式数据收集，仿真和分析的工具，并启用了多学科协作。
Maps have played an important role in epidemiology and public health since the beginnings of these disciplines. With the advent of geographical information systems and advanced information visualization techniques, interactive maps have become essential tools for the analysis of geographical patterns of disease incidence and prevalence, as well as communication of public health knowledge, as dramatically illustrated by the proliferation of web-based maps and disease surveillance ``dashboards'' during the COVID-19 pandemic. While such interactive maps are usually effective in supporting static spatial analysis, support for spatial epidemiological visualization and modelling involving distributed and dynamic data sources, and support for analysis of temporal aspects of disease spread have proved more challenging. Combining these two aspects can be crucial in applications of interactive maps in epidemiology and public health work. In this paper, we discuss these issues in the context of support for disease surveillance in remote regions, including tools for distributed data collection, simulation and analysis, and enabling multidisciplinary collaboration.
