期刊文献+

中国主要法定报告传染病的“春节效应”研究 被引量:37

"Spring Festival effects" on the main notifiable communicable diseases in China
暂未订购
导出
摘要 目的探讨我国主要法定报告传染病疫情是否存在"春节效应"。方法首先根据每月天数和人口自然增长率,对卫生部全国传染病网络直报系统提供的2005年至2011年月报告病例数进行调整,然后利用时间序列分解法分解出传染病的季节性因素S和SRi(季节性因素和随机性因素),最后结合传染病的该两项指标的变化情况及对应的潜伏期、春节时间,推测其是否具有"春节效应"。结果发现甲肝、乙肝、丙肝、戊肝、百日咳、淋病和梅毒可能具有"春节效应"。结论该7种传染病之所以表现出"春节效应",可能原因是春节期间大规模人群流动等社会因素影响其传染源、传播途径和易感人群等方式而呈现出的结果。研究结果提示在春节期间应加强相关传染病的防治工作。 Objective To explore the "Spring Festival effects" of the notifiable communicable diseases in China.Methods Based on the monthly cases of each notifiable communicable disease provided by Web-based National Reporting System on Notifiable Communicable Diseases from the year of 2005 to 2011,seasonality S and SRi(including seasonality and randomness) of each disease were split out by using decomposition methods after adjustment of the days in each month and population growth rate.Then the "Spring Festival effects" were inferred via comprehensive analysis of the variations of S and SRi as well as the incubation period and the date of Spring Festival.Results Hepatitis A,B,C,E,whooping cough,gonorrhea and syphilis were found to exhibit "Spring Festival effects".Conclusions Possible reasons of "Spring Festival effects" are social factors,such as massive population migration during this period,which would affect infectious pathogen,transmission and susceptible populations of the studied diseases.In addition,it suggests that prevention and control of these diseases should be done during Spring Festival.
出处 《复旦学报(医学版)》 CAS CSCD 北大核心 2013年第2期153-158,共6页 Fudan University Journal of Medical Sciences
关键词 传染病 发病 感染 节日 季节 communicable diseases incidence infection holiday seasons
  • 相关文献

参考文献9

  • 1Dowell SF,Ho MS. Seasonality of infectious diseases andsevere acute respiratory syndrome-what we dor' t knowcan hurt us [J]. Lancet Infect Dis , 2004 ,4(11): 704-708.
  • 2Fisman DN. Seasonality of infectious diseases [J]. AnnuRev Public Health ,2007 ’28 : 127 - 143.
  • 3郭志武,蒲继红,滕国召.基于ARIMA模型的春节因素调整方法研究[J].中国卫生统计,2009,26(6):573-576. 被引量:9
  • 4Shi P,Keskinocak P,Swann JL,ei al. The impact of massgatherings and holiday traveling on the course of aninfluenza pandemic: a computational model C J ]. BMCPublic2010,10:788-789.
  • 5Peng X. China' s demographic history and futurechallenges[J]. Science,2011,333(6042) :581 - 587.
  • 6Vose D. Risk analysis; a quantitative guide[M]. America :John Wiley and Sons ,2003:325 - 327.
  • 7Mazick A,Howitz M, Rex S, et al. Hepatitis A outbreakamong MSM linked to casual sex and gay sanunas inCopenhagen* Denmark [ J ]. Eurosurveillan.ee? 2005 , 10(5):111-114.
  • 8崔树峰,马建新,李书明.时间序列分解法在北京市朝阳区细菌性痢疾周报告发病率预测中的应用[J].中国卫生统计,2009,26(6):583-585. 被引量:19
  • 9Zeger SL,Irizarry R,Peng RD. On time series analysis ofpublic health and biomedical data[J], Annu Rev PublicHealth,2006,27:57-79.

二级参考文献18

  • 1贾淑梅.货币供应量季节调整中消除春节因素的实证研究[J].统计研究,2005,22(10):63-68. 被引量:17
  • 2吴家兵,叶临湘,尤尔科.时间序列模型在传染病发病率预测中的应用[J].中国卫生统计,2006,23(3):276-276. 被引量:53
  • 3郭志武,滕国召,严吉祥.春节因素对医院业务收入的影响模型及调整方法研究[J].中国卫生统计,2006,23(4):330-332. 被引量:3
  • 4Box GEP,Jenkins GM著.顾岚译.时间序列分析:预测与控制.第3版.北京:中国统计出版社,1997:377-420.
  • 5U. S. Census Bureau. X-12-ARIMA Reference Manual Version 0.3. http://www. census, gov/srd/www/sapaper/sapaper.html.
  • 6Gomez V, Maravall A. Programs TRAMO and SEATS. Instructions for the User( Beta version: November 1997). http://www, bde. es/servicio/software/papers, hun.
  • 7Bell WR,Hillmer SC. Modeling time series with calendar variation. Journal of the American Statistical Association,1983,78:526-534.
  • 8Raymond JS, Findley DF. Modeling and model selection for moving holidays. http ://www. census. gov/srd/www/sapaper/sapaper.html.
  • 9Findley DF, Wills K, Monsell BC. Issues in estimating easter regressors using reg RIM models with X-12-ARIMA. http://www.census.gov/srd/www/sapaper/sapaper.html.
  • 10LinJL LiuTS.Model lunar calendar holiday effects in Taiwan[J].台湾经济政策与预测,2003,33(2):1-371.

共引文献26

同被引文献405

引证文献37

二级引证文献319

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部