新冠肺炎疫情预测及可视化系统的设计与实现

Design and Implementation of COVID-19 Prediction and Visualization Systems

新型冠状病毒所引起的肺炎疫情至今仍余孽未消,世界人民的生命健康和安全仍处于无形的威胁下。本论文介绍了如何利用Python网页数据爬取和Pyecharts可视化技术实现对中国和全球疫情的数据可视化,并利用神经网络技术对中国疫情的发展趋势进行大致预测,使群众能够清楚地了解疫情信息并做好自身防护工作,以便早日消除疫情隐患。

The pneumonia epidemic caused by the new coronavirus is still unencumbered, and the life, health and safety of the people of the world are still under invisible threats. This paper describes how to use Python web data crawling and Pyecharts visualization technology to visualize the data of the epidemic situation in China and the world, and use neural network technology to make a rough prediction of the development trend of the epidemic in China, so that the masses can clearly understand the epidemic information and do a good job in self-protection, so as to eliminate the hidden dangers of the epidemic as soon as possible.