《抗击新冠肺炎疫情的中国行动》白皮书（双语全文）(81)

运用大数据、人工智能等新技术开展防控。充分利用大数据、人工智能等新技术，进行疫情趋势研判，开展流行病学调查，努力找到每一个感染者、穷尽式地追踪密切接触者并进行隔离。建立数据库，依法开展疫情防控风险数据服务，对不同风险人群进行精准识别，预判不同地区疫情风险，为促进人员有序流动和复工复产提供服务。通过5G视频实时对话平台，偏远山区的流行病学调查团队可以与几千公里之外的高级别专家实时互动交流。经公民个人授权，推广个人“健康码”“通信大数据行程卡”作为出行、复工复产复学、日常生活及出入公共场所的凭证，根据查询结果进行管控通行和分类处置，实现分区分级的精准识别、精准施策和精准防控。利用大数据技术绘制“疫情地图”，通过社区名称、地址和位置，标明疫情传播具体地点、距离、人数等，为公众防范传染提供方便。Big data and artificial intelligence have been used in epidemic control.China has fully utilized big data, artificial intelligence, and other new technologies in research and analysis to forecast the trend of Covid-19 developments. These tools have also been exhaustively applied in epidemiological investigations to find every infected person and track every close contact for quarantine. A database has been set up in accordance with the law to provide data services for virus risk control, precisely identify different groups at risk, predict risk factors in different areas, and facilitate the orderly flow of people and the resumption of business operations. Via online platforms based on 5G technology, epidemiological teams in remote mountainous areas have been able to engage in real-time discussion with top experts thousands of miles away. With authorization from the public, health QR codes and digital travel records have been employed as permits for making trips, going to school or work, and accessing certain public venues, and for other daily errands. The results shown on the codes and records provide a base for travel control and differentiated response measures, which has made risk identification and targeted control possible in different areas and at different levels. Applying big data technology, an “epidemic map” has been created to display the specific names and locations of the communities where cases have been reported and the number of infections that has been ascertained. The map has made it easier for the public to guard against infection.