利用出入境国际旅行信息大数据建立口岸疫情预测平台探索

Using Big Data of Entry-Exit Travel Information to Establish Imported Epidemic Prediction Platform

利用输入性疫情随口岸出入境人群移动产生并分布在U网中巨大的国际旅行信息,运用网络爬虫技术、计算机存储技术处理,取得出入境海关卫生检疫语义关联信息,经过自然语义的文本动态分析技术处理建立预测平台,对口岸输入性疫情发生进行预测。

Based on using imported epidemic produced by moving entry-exit people and distributed in U huge international travel information,using the web crawler technology as well as the computer storage technology processing,getting the health and quarantine semantic correlation information of customs concerned,by natural semantic text processing,to establish the prediction platform of dynamic analysis technology,to forecast the imported epidemic.