论文部分内容阅读
目的通过对2008~2012年1~2月份平顶山市传染病报告病例监测分析,探讨传染病网络直报工作中是否存在着春节效应以及对网络直报工作的影响。方法对2008~2012年1~2月份平顶山市传染病网络直报数据进行描述,对春节效应采用同比分析,发病率的检验采用z检验法。结果 2008~2012年平顶山市传染病春节期间日均报告病例数低于各年全年日均报告病例数,春节所在月份报告发病率低于非春节月份平均报告发病率(z=1.77,P=0.0384),历年2月份包含春节的传染病平均发病率同比低于往年不包含春节的传染病平均发病率(z=1.85,P=0.0322)。结论平顶山市传染病网络直报工作中存在着春节效应,可使春节所在月份的传染病报告发病率降低,采用移动平均法可在一定程度上解决春节效应对监测数据分析的影响。
Objective To monitor and analyze the reported cases of infectious diseases in Pingdingshan from January to February in 2008 ~ 2012 and discuss whether the Spring Festival effect exists in the network direct reporting of infectious diseases and the impact on the network direct reporting work. Methods The direct reporting data of infectious diseases in Pingdingshan from January to February in 2008 ~ 2012 were described. The effect of the Spring Festival was analyzed on a year - on - year basis. The incidence of the disease was tested by z test. Results The average daily reported cases of infectious diseases in Pingdingshan between 2008 and 2012 were lower than the average daily reported cases in each year. The incidence of monthly reports in the Spring Festival was lower than that of non-Chinese lunar new year (z = 1.77, P = 0.0384). The average incidence of infectious diseases including the Spring Festival in February over the previous year was lower than the average incidence of infectious diseases that did not include the Spring Festival in previous years (z = 1.85, P = 0.0322). Conclusion The Spring Festival effect exists in the network direct reporting of infectious diseases in Pingdingshan, which can reduce the incidence of infectious disease reports in the month of Spring Festival. The moving average method can solve the influence of the Spring Festival effect on the monitoring data analysis to a certain extent.