首页 | 本学科首页   官方微博 | 高级检索  
     

基于密切接触者人数推断新冠肺炎疫情发展趋势
引用本文:谭索怡,曹自强,秦烁,陈洒然,赛斌,郭淑慧,刘楚楚,蔡梦思,周涛,张伟,吕欣. 基于密切接触者人数推断新冠肺炎疫情发展趋势[J]. 电子科技大学学报(自然科学版), 2020, 49(5): 788-794. DOI: 10.12178/1001-0548.2020263
作者姓名:谭索怡  曹自强  秦烁  陈洒然  赛斌  郭淑慧  刘楚楚  蔡梦思  周涛  张伟  吕欣
作者单位:1.国防科技大学系统工程学院 长沙 410073
基金项目:国家自然科学基金(82041020);四川省科技厅科技攻关项目(2020YFS0007);国家自然科学基金重大研究计划集成项目(91846301);国家自然科学基金青年基金(71901067);湖南省自然科学基金(2020JJ5679, 2018JJ1034)
摘    要:密切接触者人数由于数据基数大且受统计口径变化影响较小,更能客观地反映新冠肺炎疫情的发展趋势。该文分析发现,2020年1月底-2月中旬北京市密切接触者转诊人数在新增确诊中的占比由50%提高接近100%,证实了严密筛查密切接触者并采取隔离措施对阻断新的传播风险的有效性。进一步对全国数据进行分析发现,全国累计密切接触人数逐步稳定在感染者数量的8倍左右,而新增密切接触者的增长率与5~6天后的新增确诊病例的增长率变化趋势一致。因此,追踪新增密切接触者的变化趋势,能提前一周左右推断新增确诊病例的变化,有利于各地医疗卫生机构做好应急准备工作,提前调度并储备相应救治物资,有效提升疫情防控效率。

关 键 词:COVID-19  密切接触者  疫情发展趋势  疾病传播
收稿时间:2020-06-16

Inferring the Trend of COVID-19 Epidemic with Close Contacts Counting
Affiliation:1.College of Systems Engineering, National University of Defense Technology Changsha 4100732.State Key Laboratory on Blind Signal Processing Chengdu 6100413.Big Data Research Center, University of Electronic Science and Technology of China Chengdu 6117134.West China Biomedical Big Data Center, West China Hospital, Sichuan University Chengdu 610041
Abstract:Close contacts with high-risk exposure to COVID-19 cases are more robust in statistics for inferring future development of COVID-19 epidemic. In Beijing, the proportion of close contact cases in newly confirmed cases had increased from about 50% at the end of January to nearly 100% in mid-February, indicating that contact tracing and quarantine measures are effective non-pharmaceutical interventions for containing the epidemic. In addition, we show at the national level that the cumulative number of close contacts was stabilized at about eight times as much as infected individuals, and the growth rate of daily close contacts was consistent with that of daily confirmed cases 5~6 days later. Consequently, tracking the daily change of close contacts is beneficial to predict the trend of the epidemic, based on which advanced medical supplies scheduling and effective epidemic prevention can be achieved.
Keywords:
点击此处可从《电子科技大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《电子科技大学学报(自然科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号