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流感传播的影响因素 被引量:3

Influencing factors of influenza transmission
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摘要 以广东某地2015年4月至9月流感实际病例数据为例,通过易感者-感染者(susceptible-infected, SI)传染病模型以及改进的易感者-感染者-环境中病毒数(susceptible-infected-the number of viruses in the environment, SIV)传染病模型,考察环境中病毒数和温度等因素对流感传播的影响,并利用最小二乘法拟合得出相关参数.结果表明:流感传播与环境中病毒数、温度等因素有关,且此次广东地区流感传播的最适温度约为24.9℃. Taking the actual cases infected by influenza in some places in Guangdong from April to September in 2015 as an example,the susceptible-infected(SI)infectious disease model and the improved susceptible-infected-the number of viruses in the environment(SIV)model are used to investigate the impacts of factors such as the number of viruses in the environment and temperature on the spreading of influenza.The relevant parameters are given by the least squares method.The results show that the spreading of influenza is related to the number of viruses in the environment and temperature,and the optimum temperature for the transmission of the influenza in Guangdong is about 24.9℃.
作者 瞿佳怡 姚沁依 陈韵婷 林支桂 QU Jiayi;YAO Qinyi;CHEN Yunting;LIN Zhigui(School of Mathematical Science,Yangzhou University,Yangzhou 225002,China)
出处 《扬州大学学报(自然科学版)》 CAS 北大核心 2019年第3期6-8,共3页 Journal of Yangzhou University:Natural Science Edition
基金 国家自然科学青年基金资助项目(11771381) 江苏省大学生实践创新计划资助项目(201811117044Z)
关键词 SI传染病模型 SIV传染病模型 流感传播 病毒 最适温度 SI infectious disease model SIV infectious disease model spread of influenza virus optimum temperature
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  • 1王拉娣,李建全.一类带有非线性传染率的SEIS传染病模型的定性分析[J].应用数学和力学,2006,27(5):591-596. 被引量:22
  • 2Castillo-Chavez C, Yakubu A-A. Dispersal, disease and life-history evolution[J]. Math Biosci,2001, 173(1) :35-53.
  • 3Castillo-Chavez C, Yakubu A-A. Discrete-time S-I-S models with complex dynamics[J]. Nonlinear Analysis ,2001,47(7) :4753-4752.
  • 4Zhou Y, Fergola P. Dynamics of a discrete age-structured SIS models[J]. Discrete and Continuous Dynamical System-Series B ,2004,4(3) :841-850.
  • 5Li X,Wang W.A discrete epidemic model with stage structure[J].Chaos,Solitons and fractals,2005,26(3):947-958.
  • 6Cull P. Local and global stability for population models[ J ]. Biol Gybern, 1986,54 ( 1 ) : 141- 149.
  • 7Anderson R M, may R M. Infectious Diseases of Humans, Dynamics and Control [M]. Oxford: Univ Press Oxford, 1991.
  • 8Allen L J S. Some discrete-time SI, SIR, and SIS epidemic models[ J ]. Math Biosci, 1994,124( 1 ):83- 105.
  • 9Allen L J S, Burgin A M. Comparison of deterministic and stochastic SIS and SIR models in discrete time[ J]. Math Biosci, 2000,163( 1 ) : 1-33.
  • 10流感样病例暴发疫情处置指南(2012年版)[J].传染病信息,2012,25(6):321-323. 被引量:44

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