globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0087916
论文题名:
Time Series Analysis of Hand-Foot-Mouth Disease Hospitalization in Zhengzhou: Establishment of Forecasting Models Using Climate Variables as Predictors
作者: Huifen Feng; Guangcai Duan; Rongguang Zhang; Weidong Zhang
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2014
发表日期: 2014-1-31
卷: 9, 期:1
语种: 英语
英文关键词: Hand ; foot and mouth disease ; Seasons ; China ; Humidity ; Time series analysis ; Pathogens ; Climate modeling ; Forecasting
英文摘要: Background Large-scale outbreaks of hand-foot-mouth disease (HFMD) have occurred frequently and caused neurological sequelae in mainland China since 2008. Prediction of the activity of HFMD epidemics a few weeks ahead is useful in taking preventive measures for efficient HFMD control. Methods Samples obtained from children hospitalized with HFMD in Zhengzhou, Henan, China, were examined for the existence of pathogens with reverse-transcriptase polymerase chain reaction (RT-PCR) from 2008 to 2012. Seasonal Autoregressive Integrated Moving Average (SARIMA) models for the weekly number of HFMD, Human enterovirs 71(HEV71) and CoxsackievirusA16 (CoxA16) associated HFMD were developed and validated. Cross correlation between the number of HFMD hospitalizations and climatic variables was computed to identify significant variables to be included as external factors. Time series modeling was carried out using multivariate SARIMA models when there was significant predictor meteorological variable. Results 2932 samples from the patients hospitalized with HFMD, 748 were detected with HEV71, 527 with CoxA16 and 787 with other enterovirus (other EV) from January 2008 to June 2012. Average atmospheric temperature (T{avg}) lagged at 2 or 3 weeks were identified as significant predictors for the number of HFMD and the pathogens. SARIMA(0,1,0)(1,0,0)52 associated with T{avg} at lag 2 (T{avg}-Lag 2) weeks, SARIMA(0,1,2)(1,0,0)52 with T{avg}-Lag 2 weeks and SARIMA(0,1,1)(1,1,0)52 with T{avg}-Lag 3 weeks were developed and validated for description and predication the weekly number of HFMD, HEV71-associated HFMD, and Cox A16-associated HFMD hospitalizations. Conclusion Seasonal pattern of certain HFMD pathogens can be associated by meteorological factors. The SARIMA model including climatic variables could be used as an early and reliable monitoring system to predict annual HFMD epidemics.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0087916&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/17992
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China;Department of Infectious Diseases, the Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China;Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China;Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China;Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China

Recommended Citation:
Huifen Feng,Guangcai Duan,Rongguang Zhang,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,2014-01-01,9(1)
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