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某市暴雨洪涝对细菌性痢疾发病影响的时间序列分析

Effect of floods on morbidity of bacillary dysentery in Liuzhou, China: time series analysis
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摘要 目的定量评价广西省柳州市暴雨洪涝对细菌性痢疾发病的健康效应。方法运用时间序列分析,控制长期趋势、季节趋势、滞后效应和气象因素等混杂因素的基础上,采用季节性自回归移动平均模型(SARIMA)定量分析洪水历时与居民细菌痢疾发病的关系。结果研究发现发生洪水月份的细菌性痢疾发病率高于对照月份。SARIMA回归分析显示月洪水历时与细菌性痢疾月罹患率呈负相关,月洪水历时天数每增加1 d,其细菌性痢疾罹患率下降7.7%~8.0%。结论暴雨洪涝对细菌性痢疾的发病产生明显影响,特别是历时短的严重洪水相比历时长的一般洪水造成细菌性痢疾发病风险更高。 Objective To establish an appropriate quantitative model to evaluate the relationship between bacillary dysentery and floods in Liuzhou,China.Methods On the basis of time series analysis to control longterm trends,seasonal trends,lagged effect and meteorological factors,the seasonal autoregressive moving average(SARIMA)model was conducted to examine the relationship between bacillary dysentery and monthly flood days.Results This study showed that the morbidity of bacillary dysentery in the flood period was different to those in the control period.Multivariable SARIMA models showed that monthly flood days were negatively correlated to the monthly attack rate of bacillary dysentery.Conclusions The findings suggest that floods could have affected the transmission of bacillary dysentery.In addition,severe floods with a shorter duration may cause a higher risk of bacillary dysentery than the prolonged moderate floods.
作者 李晓梅 薛晓嘉 丁国永 李栋 侯海峰 刘起勇 姜宝法 Xiao-mei Li;Xiao-jia Xue;Guo-yong Ding;Dong Li;Hai-feng Hou;Qi-yong Liu;Bao-fa Jiang(School of Public Health,Taishan Medical University,Taian,Shandong 271026,China;National Institute for Communicable Disease Control and Prevention,China Center for Disease Control and Prevention,Beijing 102206,China;School of Public Health,Shandong University,Jinan,Shandong 250012,China)
出处 《中国现代医学杂志》 CAS 2018年第25期41-46,共6页 China Journal of Modern Medicine
基金 山东省医药卫生科技发展计划项目(No:2016WS0605 2016WS0602) 山东省自然科学基金(No:ZR2015HL100 ZR2014JL051) 泰安市科技发展计划(No:2016NS1206 2015NS2136) 泰山医学院高层次课题(No:2015GCC16 2016GCC05)
关键词 暴雨洪涝 细菌性痢疾 时间序列 季节性自回归移动平均模型 floods bacillary dysentery time series analysis SARIMA model
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