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长沙市某校甲型H1N1流感暴发过程及其防控策略效果的Logistic模型模拟 被引量:8

Simulation of influenza A( H1N1) outbreak and the effect of interventions with Logistic model in a school in Changsha City
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摘要 目的采用Logistic模型模拟甲型H1N1流感的暴发过程,并评估暴发疫情防控措施的效果。方法使用Logistic模型对长沙市某校甲型H1N1流感暴发疫情进行拟合,确定模型的参数,并进行拟合优度检验,探讨模型的适用性;推导模型的3个关键点,对暴发疫情进行定量分期;利用拟合后获得的模型进行暴发疫情预测,将预测结果与实际防控结果进行比较,评价防控效果。结果无干预情况下,甲型H1N1流感暴发疫情病例数与Logistic模型仿真的病例数差异无统计学意义(χ2=3.94,P=0.786)。模型预测结果显示,暴发疫情分为3个阶段:渐增期(第1~14天),在该时期,疫情发展缓慢,是采取防控措施的最佳时期;快增期(第14~20天),此时期的防控难得较大,付出的防控成本可能收不到预期的效果;缓增期(第20天以后),在该时期,免疫屏障逐步建立,采取防控措施无较大意义。Malthusian模型模拟结果也显示,疾控部门越早干预,取得的防控效果越好。实际联防联控的综合防控措施能减少92.62%病例的发生,干预取得了很好的效果。结论甲型H1N1流感暴发疫情的发展迅速,在疫情渐增期采取综合防控措施能取得较好效果。 Objective To simulate influenza A( H1N1) outbreaks and the effect of intervention with the Logistic model. Methods A school influenza A( H1N1) outbreak of Changsha was employed for simulation. Parameters of the model were determined,and Chi square test was conducted to assess the fit of the model. The outbreak was divided into different stages by using 3 deduced strategic points of the model. At last,the outbreak were predicted,and the predict results were compared with reported data for assessing effect of measures. Results Without interventions,there was no significant difference between cases from influenza A( H1N1) outbreaks and cases from Logistic model( χ2= 3. 94,P = 0. 786). The predictive results of model showed that the outbreak was expected to experience three phrases: increasingly growing stage( 1-14 days) in which the epidemic developed slowly and could be intervened easily; rapidly growing stage( 14-20 days) in which it was difficult to take preventive measures and might not receive expected effect although it might cost a lot; and slowly growing stage( after 20 days) in which adaptive immunity was built up,and there was no significant difference to take measures. The simulated result of Malthusian model revealed that the desivable effects are coherent with early intervention. The incidence of cases could be reduced by 92. 62% via joint comprehensive prevention and control measures,suggesting a good effect by interventions. Conclusions Influenza A( H1N1) transmits quickly in the school outbreak. The effect can be achieved when the interventions are taken in increasingly growing stage of the outbreak.
出处 《中华疾病控制杂志》 CAS 北大核心 2014年第4期330-335,共6页 Chinese Journal of Disease Control & Prevention
基金 湖南省卫生厅科研项目(B2012-138) 长沙市科技局科研项目(K1205028-31)
关键词 Logistic模型 流感病毒A型 H1N1亚型 疾病暴发流行 Logistic model Influenza A virus H1N1 subtype Disease outbreaks
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  • 1World Health Organization. World now at the start of 2009 influen- za pandemic [EB/OL] ( 2009-06-11 ) [ 2013-06-11 ]. http:// www. who. int/mediacentre/news/statements/2009/hlnl- pan- demic_phase6_20090611/en/index, html.
  • 2中华人民共和国卫生部.甲型H1N1流感诊疗方案(2009年第三版)[EB/OL].(2009-10-13)[2009-10-22].http://61.49.18.65/publicfiles/business/htmlfiles/mohyzs/s3586/200910/43111.htm.
  • 3周晓峰,王晓红,陈翠婷.学校甲型流感防控工作的几点思考[J].中国校医,2010,24(12):952-953. 被引量:2
  • 4Tang S, Xiao Y, Yang Y, et al. Community-based measures for mitigating the 2009 H1N1 pandemic in China [J-. PLoS One, 2010,5(6) :e10911.
  • 5胡建利,刘文东,梁祁,吴莹,李媛,戴启刚,鲍倡俊,朱叶飞,汤奋扬,彭志行,陈峰.季节指数法和ARIMA模型在感染性腹泻周发病数预测中的应用研究[J].中华疾病控制杂志,2013,17(8):718-721. 被引量:24
  • 6Cruz-Pacheco G, Duran L, Esteva L, et al. Modelling of the influenza A ( H1N1 ) v outbreak in Mexico city, April-May 2009, with control sanitary measures [J]. Euro Surveill, 2009,14(26): 1-3.
  • 7Sypsa V, Hatzakis A. School closure is currently the main strategy to mitigate influenza A ( H1N1 ) v. a modeling study [J]. Euro Surveill, 2009, 14( 24) : 1-7.
  • 8Eggo RM, Cauchemez S, Ferguson NM. Spatial dynamics of the 1918 influenza pandemic in England, Wales and the United States [J]. J R Soc Interface, 2011,8(55) :233-243.
  • 9李燕婷,张宏伟,任宏,陈健,王晔.上海市流感样病例发病趋势的时间序列分析和预测模型研究[J].中华预防医学杂志,2007,41(6):496-498. 被引量:33
  • 10Lee BY, Bedford VL, Roberts MS, et al. Virtual Epidemic in a virtual city: simulating the spread of influenza in a US metropolitan area [J]. Transl Res, 2008,151(6): 275-287.

二级参考文献74

共引文献367

同被引文献79

  • 1刘新凤,刘建地,杨建军,蓝弘,魏孔福,杨筱婷.甘肃省首起甲型H1N1流感暴发疫情分析和防控措施[J].中国病毒病杂志,2010,12(5):388-389. 被引量:1
  • 2易静,杜昌廷,王润华,刘琍.应用灰色预测模型GM(1,1)对结核病发病率进行预测[J].重庆医科大学学报,2007,32(3):275-278. 被引量:16
  • 3吴家兵,张新平,张琴,马龙飞.基于人工神经网络方法对流感分级的判别[J].中国预防医学杂志,2007,8(5):655-656. 被引量:6
  • 4Huang X,Wei H,Wu S,et al.Epidemiological and etiological characteristics of hand,foot,and mouth disease in henan,china,2008-2013[J].Sci Rep,2015,5:8904.
  • 5Zhao YY,Jin H,Zhang XF,et al.Case-fatality of hand,foot and mouth disease associated with EV71:a systematic review and meta-analysis[J].Epidemiol Infect,2015,27:1-9.[Epub ahead of print].
  • 6Liu SL,Pan H,Liu P,et al.Comparative epidemiology and virology of fatal and nonfatal cases of hand,foot and mouth disease in China's Mainland from 2008 to 2014[J].Rev Med Virol,2015,25(2):115-128.
  • 7Song Y,Wang F,Wang B,et al.Time series analyses of hand,foot and mouth disease integrating weather variables[J].PLoS One,2015,10(3):0117296.
  • 8Verhulst P.F.Recherches mathématiques sur la loi d'accroissement de la population[J].Nouveaux mémoires de l'Academie Royale des Science et Belles-Lettres de Bruxelles,1845,18:1-41.
  • 9Heydari J,Lawless C,Lydall DA,et al.Fast Bayesian parameter estimation for stochastic logistic growth models[J].Biosystems,2014,122:55-72.
  • 10Malthus TR.An Essay on the Principle of Population[J].J.Johnson,London,1798:19-21.

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