摘要
新冠疫情的发展,给全球多个国家都造成了重大的影响。非洲人口虽然只占全球人口的0.76%,但感染人数却占到了全球确诊人数的4.00%。文章提出了结合倒数欧氏距离,综合相似性分析度量方法来进行多维度时间序列相似性分析的方法,并用全球最新的疫情数据进行了验证。通过实验,文章找到了和南非疫情发展相似的两个大国:中国和英国,这两个国家的疫情治理经验可以供南非参考。
The development of COVID-19 has had a major impact on countries around the world.Although the population of Africa accounts for only 0.76 percent of the global population,its total confirmed cases accounts for 4.00 percent of the world’s confirmed cases.In this paper,for the research of multi-dimensional time series,a similarity analysis method combining reverse Euclidean distance and integrated similarity analysis measurement is proposed,which is verified by the latest global epidemic data.Through experiments,this paper identifies two large countries,China and the United Kingdom,with similar development of the epidemic in South Africa.The prevention strategies of these two countries can be a reference for South Africa.
作者
张卓妮
ZHANG Zhuoni(Department of Computing,Imperial College London,London SW72AZ,UK)
出处
《现代信息科技》
2020年第17期9-12,共4页
Modern Information Technology
