论文标题
从瘟疫到冠状病毒：关于流行建模的船舶交通数据的价值
From plague to coronavirus: On the value of ship traffic data for epidemic modeling
论文作者
论文摘要
除了搬家和货物外，船还可以传播疾病。船舶交通可能会补充空中流量作为进口风险的来源，而游轮（乘客量较大且多个停靠点）是潜在的热点，特别是对于长期孵化期的疾病而言。来自船舶自动识别系统（AI）的船舶轨迹数据可在线获得，可以提取和分析此数据。在当前的冠状病毒流行病的情况下，我们说明了这一点，其中数百名被感染的人在AIS数据集中捕获的船只中旅行。该实时数据和历史数据应包括在疾病的流行病学模型中，以告知相应的操作反应。
In addition to moving people and goods, ships can spread disease. Ship traffic may complement air traffic as a source of import risk, and cruise ships - with large passenger volumes and multiple stops - are potential hotspots, in particular for diseases with long incubation periods. Vessel trajectory data from ship Automatic Identification Systems (AIS) is available online and it is possible to extract and analyze this data. We illustrate this in the case of the current coronavirus epidemic, in which hundreds of infected individuals have traveled in ships captured in the AIS dataset. This real time and historical data should be included in epidemiological models of disease to inform the corresponding operational response.
