[1]冯慧芬)△,赵秋民),段广才),等.应用时间序列分析气象因素对手足口病流行的影响*[J].郑州大学学报(医学版),2015,(02):171.
 FENG Huifen),ZHAO Qiumin),DUAN Guangcai),et al.Effects of meteorological factors on occurrence of HFMD using time series analysis[J].JOURNAL OF ZHENGZHOU UNIVERSITY(MEDICAL SCIENCES),2015,(02):171.
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应用时间序列分析气象因素对手足口病流行的影响*
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《郑州大学学报(医学版)》[ISSN:1671-6825/CN:41-1340/R]

卷:
期数:
2015年02期
页码:
171
栏目:
论著
出版日期:
2015-03-20

文章信息/Info

Title:
Effects of meteorological factors on occurrence of HFMD using time series analysis
作者:
冯慧芬1)△赵秋民2)段广才3)朱光1) 李树岭4)
1)郑州大学第五附属医院感染科 郑州 4500522)郑州大学学报编辑部 郑州 4500013)郑州大学公共卫生学院流行病学教研室 郑州 4500014)郑州市气象局 郑州 450052
Author(s):
FENG Huifen1) ZHAO Qiumin2) DUAN Guangcai3) ZHU Guang1) LI Shuling4)
1)Department of Infectious Diseases, the Fifth Affiliated Hospital, Zhengzhou University, Zhengzhou 4500522)Editorial Board of Journal of Zhengzhou University, Zhengzhou 4500013)Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 4500014)Zhengzhou Meteorological Administration, Zhengzhou 450052
关键词:
手足口病气象因素时间序列分析季节性自回归移动平均模型
Keywords:
handfootmouth diseasemeteorological variabletime series analysisseasonal autoregressive integrated moving average model
分类号:
R512.5
摘要:
目的:探讨气象因素对手足口病(HFMD)流行的影响,为该地区HFMD防控与政策制定提供依据。方法:收集河南省郑州市二七区2008年5月至2014年6月气象资料(气温、气压、相对湿度、平均风速、降雨量、平均日照时间)和HFMD疫情资料。采用Spearman秩相关分析气象参数与HFMD的相关性,采用互相关分析气象参数对HFMD流行的滞后效应,采用时间序列分析构建该地区HFMD季节性自回归移动平均(SARIMA)模型,比较引入气象参数前后模型的拟合优度和预测精度。结果:该地区HFMD流行集中于3~7月份,4~5月份达到高峰。HFMD周发病人数与每周日平均气温滞后2周(rS=0.248,P<0.05)、最高气温滞后2周(rS=0.170,P<0.05)、最低气温滞后2周(rS=-0.223,P<0.05)相关。每周日平均气温滞后2周纳入HFMD周发病人数SARIMA(1,1,0)(0,1,0)52预测模型。引入气象参数前、后模型的拟合度为0.797、0.833,预测精度为11.573、10.611。结论:平均气温可影响HFMD的流行,引入平均气温构建的SARIMA模型能较好地拟合和预测HFMD的流行。
Abstract:
Aim: To examine the potential effects of meteorological factors on the handfootmouth disease(HFMD) epidemic, so as to explore the method to prevent and control HFMD. Methods: The daily incidence and weather surveillance data were provided by Erqi Center for Disease Control and Prevention and Zhengzhou Meteorological Administration respectively. The correlation between the meteorological parameters and the weekly number of HFMD in Erqi District were analyzed with Spearman′s rank correlation tests with and without timelag. Time series modeling was carried out using multivariate SARIMA models when there was significant predictor meteorological variable. Results: HFMD was prevalent from March to July and peaks in April and May. Spearman′s rank correlation test indicated that average atmospheric temperature at lag 2 weeks (rS=0.248, P<0.05), maximum atmospheric temperature at lag 2 weeks (rS=0.170, P<0.05) and minimum atmospheric temperature at lag 2 weeks (rS=-0.223, P<0.05) were correlated with the weekly number of HFMD. Average atmospheric temperature at lag 2 weeks was identified as a significant predictor for the weekly number of HFMD. SARIMA(1,1,0) (0,1,0)52 associated with average atmospheric temperature at lag 2 weeks were developed and validated for description and predication of the weekly number of HFMD. The goodness of fit [stationary square R(R2)=0.797] and the predictive power [root mean square error(RMSE)=11.573] of the model were enhanced by the inclusion of climatic variable to forecast the number of HFMD in the year 2014 compared with the univariate model (R2=0.833, RMSE=10.611). Conclusion: Temperatures affect the occurrence of HFMD, and might be used as meteorological predictors for the epidemic of HFMD in this region.

参考文献/References:

[1]Wang JF,Xu CD,Tong SL,et al.Spatial dynamic patterns of handfootmouth disease in the People's Republic of China[J].Geospat Health,2013,7(2):381 [2]郑跃杰,王文建.儿童手足口病[J].中华实用儿科临床杂志,2013,28(22):1692 [3]Feng H,Duan G,Zhang R,et al.Time series analysis of handfootmouth disease hospitalization in Zhengzhou: establishment of forecasting models using climate variables as predictors[J].PLoS One,2014,9(1):e87916 [4]Ali M,Kim DR,Yunus M,et al.Time Series Analysis of Cholera in Matlab, Bangladesh, during 19882001[J].J Health Popul Nutr,2013,31(1):11 [5]Yu DS,Zhang Y,Chen JH,et al.Epidemiological features and pathogenic characteristics of hand, foot and mouth disease in Gansu Province, China during 20082012[J].Bing Du Xue Bao,2014,30(1):25 [6]Lu J,Zeng H,Zheng H,et al.Hand, foot and mouth disease in Guangdong, China, in 2013: new trends in the continuing epidemic[J].Clin Microbiol Infect,2014,20(7):O442 [7]冯慧芬,段广才,张卫东.郑州市二七区2008~2012年住院手足口病患者病原、临床特征及流行因素调查[J].郑州大学学报:医学版,2014,49(2):184 [8]Wang JJ,Cao ZD,Zeng DD,et al.Epidemiological analysis, detection, and comparison of spacetime patterns of beijing handfootmouth disease (20082012)[J].PLoS One,2014,9(3):e92745 [9]Fares A.Factors influencing the seasonal patterns of infectious diseases[J].Int J Prev Med,2013,4(2):128 [10]Garske T,Ferguson NM,Ghani AC.Estimating air temperature and its influence on Malaria transmission across Africa[J].PLoS One,2013,8(2):e56487 [11]Huang Y,Deng T,Yu S,et al.Effect of meteorological variables on the incidence of hand, foot, and mouth disease in children: a timeseries analysis in Guangzhou, China[J].BMC Infect Dis,2013,13:134 [12]Zhuang DF,Hu WS,Ren HY,et al.The influences of temperature on spatiotemporal trends of handfootandmouth disease in mainland China[J].Int J Environ Health Res,2014,24(1):1 [13]Bo YC,Song C,Wang JF,et al.Using an autologistic regression model to identify spatial risk factors and spatial risk patterns of hand, foot and mouth disease (HFMD) in Mainland China[J].BMC Public Health,2014,14:358 [14]Onozuka D,Hashizume M.The influence of temperature and humidity on the incidence of hand, foot, and mouth disease in Japan[J].Sci Total Environ,2011,410411:119 [15]Brown JD,Goekjian G,Poulson R,et al.Avian influenza virus in water:infectivity is dependent on pH,salinity and temperature[J].Vet Microbiol,2009,136(1/2):20 [16]Kim SJ,Si J,Lee JE,et al.Temperature and humidity influences on inactivation kinetics of enteric viruses on surfaces[J].Environ Sci Technol,2012,46(24):13303 [17]Bashiardes S,Koptides D,Pavlidou S,et al.Analysis of enterovirus and adenovirus presence in swimming pools in Cyprus from 20072008[J].Water Sci Technol,2011,63(11):2674 [18]Viau EJ,Lee D,Boehm AB.Swimmer risk of gastrointestinal illness from exposure to tropical coastal waters impacted by terrestrial dryweather runoff[J].Environ Sci Technol,2011,45(17):7158

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备注/Memo

备注/Memo:
*国家自然科学基金面上项目81473030
更新日期/Last Update: 1900-01-01