疫情信息展示及预测可视化

Epidemic information display and prediction visualization

利用大数据技术,传染病SIR模型与机器学习预测疫情的拐点,对疫情的数据进行可视化展示。疫情期间,方便个人查询地点的疫情信息,充分发挥人民群众的力量,缩短寻找密接人员、高风险人员的时间,推测出拐点出现日期,对全球防疫起一定作用。

Using big data technology,infectious disease SIR model and machine learning to predict the inflection point of epidemic situation,and visually display the epidemic data.During the epidemic period,it is convenient for individuals to query the epidemic information of the location,give full play to the strength of the people,shorten the time to find close contacts and high-risk personnel,and speculate the occurrence date of the inflection point,which plays a certain role in global epidemic prevention.