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新型甲型H1N1流感潜伏期及其影响因素分析 被引量:6

The Analysis of Influenza A(H1N1) Incubation Period and its Influencing Factors
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摘要 目的估计新型甲型H1N1流感潜伏期并分析其影响因素,为新型甲型H1N1流感的防控提供决策参考。方法利用来源于一次封闭环境下的新型甲型H1N1流感暴发数据,采用失效数据的参数生存分析模型,对新型甲型H1N1流感的潜伏期进行估计,并分析其影响因素。结果新型甲型H1N1流感平均潜伏期为4.65天,95%可信区间为(4.02,5.27)天,72.34%病例在7天内发病,95%的病例在12.96天内发病。与指数分布、对数正态分布、威布尔分布比较,伽玛分布为更适合本研究的参数分布。广泛探索了41个可能的影响因素,单因素分析时未发现对潜伏期有影响的因素,多因素分析发现:出入公共场所佩戴口罩者的平均潜伏期为不戴者的1.21倍,经常打扫卫生者平均潜期为不经常打扫者的70%,经常前往人流密集不通风地方者的平均潜伏期为不经常前往者的45%。结论生存分析的参数模型能较好地描述新型甲型H1N1流感潜伏期的特点,密切接触者的医学观察或隔离以14天为最佳,佩戴口罩、打扫卫生、避免前往人流密集不通风地方等一般防护措施对新型甲型H1N1流感的预防有效。 Objective To estimate incubation period of Pandemic Influenza A(H1N1) and to analyze the influencing factors.Methods Data from a Pandemic Influenza A(H1N1) outbreak in a closed environment was analyze with parametric survival analysis model to estimate Pandemic Influenza A(H1N1) incubation period,describe its characteristics,and explore the influencing factors.Results The incubation period of Pandemic Influenza A(H1N1) is 4.65 days on average,whose 95% confidence interval is(4.02,5.27) days.After infection,72.34% of cases are onset in 7 days and 95% of cases are onset in 12.96 days.Comparing to Exponential,lognormal and weibull distribution,Gamma distribution is the best distribution to describe this outbreak,No factor had found that can affect the incubation period by univariate analysis of 41 factors.By multivariate analysis,we found that the average incubation period of those wearing a mask when accessing to public places is 1.21 times of those not wearing a mask,the average incubation period of those regularly cleaning the dormitory is 70% of those not regularly cleaning the dormitory,and the average incubation period of those often going to crowded places with poor ventilation is 45% of those not often going to this places.Conclusion Parametric survival analysis model can describe the characteristics of Pandemic Influenza A(H1N1) incubation period appropriately.The time of medical observation or isolation of close contacts is 14 days for the best.General non-ventilated protective measures,such as wearing masks,cleaning,avoid visiting crowded and poorly ventilated place,is effective in protecting vulnerable persons.
出处 《中国卫生统计》 CSCD 北大核心 2011年第4期357-360,共4页 Chinese Journal of Health Statistics
关键词 H1N1 流感 潜伏期 生存分析 Influenza H1N1 Incubation period Survival analysis
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  • 1Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the EM algorithm. J Roy Stat Soc B, 1977, 39 (1) :1-38.
  • 2Meng XL, Rubin DB. Using EM to Obtain Asymptotic Variance-Covariance Matrices:The SEM Algorithm. J Am Stat Assoc, 1991, 86(416):899-909.
  • 3Meng XL, Rubin DB. Maximum likelihood estimation via the ECM algorithm: A general framework. Biometrika, 1993, 80(2) :267-278.
  • 4Silverman BW, Jones MC, Wilson JD. A smoothed EM approach to indirect estimation problems, with particular reference to stereology and emission tomography. J Roy Stat Soc B, 1990; 52:271-324.
  • 5Centers for Disease Control and Prevention. Severe acute respiratory syndrome - Singapore, 2003. MMWR, 2003, 52(18) :406.
  • 6Varia M, Wilson S, Sarwal S, et al. Investigation of a nosocomial outbreak of severe acute respiratory syndrome (SARS) in Toronto, Canada. CMAJ, 2003, 169(4) :285-292.
  • 7WHO. Update 49 - SARS case fatality ratio, incubation period. (Accessed May 7, 2003, at http://www. who. int/csr/sars/archive/2003-05-07a/en/).
  • 8Donnelly CA, Ghani AC, Leung GM, et al. Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong. Lancet, 2003,361:1761-1766.
  • 9李灵辉,彭国文,梁文佳,谭小华,郭汝宁.广东省SARS聚集性病例流行病学分析[J].华南预防医学,2003,29(3):3-5. 被引量:9
  • 10刘于飞,浦少鸣,李新锐,陈小霜,李泽荣,王鸣.一起公共场所传染性非典型肺炎暴发的流行病学分析[J].华南预防医学,2003,29(3):40-41. 被引量:2

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  • 1宁芳,段玮,高培,松凯,周素梅,沈壮.流感样病例监测系统数据异常波动与预警分析[J].中国公共卫生,2007,23(10):1210-1211. 被引量:45
  • 2甲型H1N1流感诊疗方案.第3版.2009.
  • 3Lee VJ, Lye DC, Wilder-Smith A. Combination strategies for pandemic influenza response-a systematic review of mathematical modeling studies. BMC Medicine 2009,7:76.
  • 4Stone L, Olinky R, Huppert A. Seasonal dynamics of recurrent epidemics. Nature 2007,446:533-536.
  • 5Dushoff J, Plotkin JB, Levin SA, et al. Dynamical resonance can ac- count for seasonality of influenza epidemics. PNAS, 2004, 101 (48) : 16195-16196.
  • 6Nichol KL ,Tummers K, Hoyer-Leitzel A, et al. Modeling Seasonal Influenza Outbreak in a Closed College Campus: Impact of Pre-Season Vaccination,In-Season Vaccination and Holidays/Breaks. PLoS ONE, 2010,5(3) : e9548.
  • 7Boni MF, Manh BH, Thai PQ et al. Modelling the progression of pan- demic influenza A( H1N1 ) in Vietnam and the opportunities for reas- sortment with other influenza viruses. BMC Medicine ,2009,7:43.
  • 8Arino J,Brauer F,van den Driessche P,et al. Simple models for containment of a pandemic. J R Soc Interface. 2006,3 ( 8 ) :453-457.
  • 9Longini IM Jr, Nizam A, Xu S, et al. Containing pandemic influenza at the source. Science. 2005,309 ( 5737 ) : 1083-1087.
  • 10Chen SC, Liao CM. Modelling control measures to reduce the impact of pandemic influenza among schoolchildren. Epidemiol. Infect, 2008, 136 : 1035-1045.

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