Transmission Path Tracking of Maritime COVID-19 Pandemic via Ship Sailing Pattern Mining

Since the spread of coronavirus disease 2019 (COVID-19) pandemic, transportation cargo by ship has been seriously impacted. In order to prevent and control maritime COVID-19 transmission, it is great significance track predict sailing behavior. As nodes networks, ports call can reflect behavior ship. Accurate hierarchical division help clarify navigation law ships with different types scales. For typical ships, deadweight over 10,000 tonnages account for 95.77% total deadweight, 592,244 berthing ships’ records were mined from automatic identification system (AIS) January October 2020. Considering type scale, port hierarchy classification models are constructed divide these into three kinds specialized ports, including bulk, container, tanker ports. all (considering scale), probability corresponding higher than other positively correlated if scale bigger negatively smaller scale. Moreover, its while deadweight. Results indicate that a clustering algorithm structure calling an effective method transmission path pandemic.