首页 | 本学科首页   官方微博 | 高级检索  
     

新型冠状病毒肺炎的流行病学参数与模型
引用本文:李盈科,赵时,楼一均,高道舟,杨琳,何岱海. 新型冠状病毒肺炎的流行病学参数与模型[J]. 物理学报, 2020, 0(9): 15-24
作者姓名:李盈科  赵时  楼一均  高道舟  杨琳  何岱海
作者单位:新疆农业大学数理学院;香港中文大学赛马会公共卫生及基层医疗学院;香港理工大学应用数学系;上海师范大学数学系;香港理工大学护理学院
基金项目:香港研究资助局普通研究基金(批准号:15205119);阿里巴巴(中国)-香港理工大学合作研究计划;新疆维吾尔自治区高校科研计划(批准号:XJEDU2018Y021)资助的课题.
摘    要:一种新型冠状病毒感染导致的肺炎自2019年12月至今在我国以及200多个国家和地区传播.本文旨在介绍近期关于新型冠状病毒肺炎的几个重要流行病学参数的研究进展和估计方法,包括基本再生数、潜伏期和代间隔,同时还介绍两个动力学模型及其结果.这些参数刻画了新型冠状病毒肺炎的传播特点,影响控制策略的制定和有效性.简要来说,新型冠状病毒肺炎的基本再生数R0的中位数为2.6,潜伏期均值约为5.0 d,代间隔均值约为5.5 d.这表明新型冠状病毒肺炎传播速度快.诸如对确诊病人的隔离治疗、对疑似病例的隔离、对密切接触者的追踪、对疾病信息的宣传和采取自我防护等防控措施能有效降低疾病暴发的风险和规模.

关 键 词:新型冠状病毒肺炎  基本再生数  潜伏期  代间隔  动力学模型

Epidemiological parameters and models of coronavirus disease 2019
Li Ying-Ke,Zhao Shi,Lou Yi-Jun,Gao Dao-Zhou,Yang Lin,He Dai-Hai. Epidemiological parameters and models of coronavirus disease 2019[J]. Acta Physica Sinica, 2020, 0(9): 15-24
Authors:Li Ying-Ke  Zhao Shi  Lou Yi-Jun  Gao Dao-Zhou  Yang Lin  He Dai-Hai
Affiliation:(College of Mathematics and Physics,Xinjiang Agriculture University,Urumqi 830052,China;JC School of Public Health and Primary Care,The Chinese University of Hong Kong,Hong Kong 999077,China;Department of Applied Mathematics,Hong Kong Polytechnic University,Hong Kong 999077,China;Department of Mathematics,Shanghai Normal University,Shanghai 200234,China;School of Nursing,Hong Kong Polytechnic University,Hong Kong 999077,China)
Abstract:The coronavirus disease 2019(COVID-19)has become a major public health concern internationally.To capture the epidemic growing patterns and quantify the transmissibility,some key epidemiological parameters and dynamic models are of significance for helping us to understand the features of COVID-19 and thus informing the strategic decision-making in combating the outbreak.In this study,we review and summarize the recently released research results about the reproduction numbers,incubation period and serial interval of COVID-19.We summarize the estimates as well as estimation approaches adopted to calculate these epidemiological parameters in the existing literature.These studies found that the basic reproduction number is estimated at 2.6,the mean incubation period at about 5.0 days,and the mean serial interval at about 5.5 days.The COVID-19 infections can increase rapidly if it is not controlled.The control measures including the isolation,quarantine,contact tracing,improvement of public awareness,and adoption of self-protection measures can effectively mitigate the COVID-19 outbreak.
Keywords:coronavirus disease 2019  basic reproduction number  incubation period  serial interval  dynamic model
本文献已被 CNKI 维普 等数据库收录!
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