ABSTRACT

The outbreak of the unprecedented Coronavirus Disease 2019 (COVID-19) pandemic calls for innovative risk assessment and mapping approaches to prompt public messaging. Most of the existing approaches aim to present population risks associated with geographic areas (e.g., county), thus providing limited values to guide individuals to take proactive measures against COVID-19. To better facilitate the general public to make informed decisions on daily activity plans, we propose an activity-based spatiotemporal risk mapping approach to capture and represent exposure risk at a personal level. This approach leverages the classical space-time representations to capture personal activity space and measures exposure risk in such activity space. This approach further implements geovisualization designs to communicate measured exposure information. To illustrate the usability of the approach, we have conducted a case study in Denver, Colorado with COVID-19 data from October 2020 and four representative travel profiles.

摘要

史无前例的 2019 年冠状病毒病 (COVID-19) 大流行的爆发需要创新的风险评估和映射方法来提示公共信息。大多数现有方法旨在呈现与地理区域（例如，县）相关的人口风险，从而提供有限的价值来指导个人针对 COVID-19 采取主动措施。为了更好地促进公众对日常活动计划做出明智的决定，我们提出了一种基于活动的时空风险映射方法，以捕捉和表示个人层面的暴露风险。这种方法利用经典的时空表示来捕捉个人活动空间并测量此类活动空间中的暴露风险。该方法进一步实施地理可视化设计以传达测量的暴露信息。