Objective From May 2009-January 2010,a total of 3768 biosamples were tested for influenza A ( H1N1 ) infection at Zhengzhou center for disease control and prevention,China.1452 cases were laboratory confirmed H1N1 infection and 2316 were considered suspected victims.To evaluate the current protocol of influenza A (H1N1) based on the epidemic situations of Zhengzhou,relationships among features were explored and whether additional clinical characteristics should be part of H1N1 diagnosis protocols were determined.Methods Both clinical and epidemiologic findings as well as statistical analyses were described in this article.Test for independence between features related to the disease diagnosis has been proposed.Furthermore,logistic regression was carried out to measure the association among features and latent class analysis was performed to identify additional crucial features in laboratory confirmed H1N1 by building various latent models with different combinatorial features.Results The mean generation time for H1N1 was estimated as 3.59 ± 1.41 days (range =2.01 -7.26).The estimated infection rate was 0.258 ±0.088 3,and reproduction number was 1.94 (95％ CI =1.12 - 3.18 ).Our results revealed that the six features,including molecular detections using three separate primer/probe sets,gender,age and temperature,are all associated with clinical diagnosis of H1N1,and that three separate primer/probe sets for laboratory confirmed H1N1,age and temperature are associated with each other.Conclusion Additional clinical features applied into the H1N1 diagnosis with current three primers/probe sets can increase the diagnostic efficiency.%目的 基于郑州市2009年5月至2010年1月甲型H1N1流感疫情来评估甲型H1N1流感诊断标准.方法 对疫情进行流行病学分析,使用卡方检验检测数据中所记录特征间的关联,通过Logistics回归、潜在类别分析分别评估了甲型H1N1流感病毒检测试剂盒三组探针和除其以外是否需额外的特征用于临床诊断.结果 流行病学分析表明平均世代时间为(3.59±1.41)d([2.01,7.26]),感染率为0.258±0.088 3,再生数为1.94([1.12,3.18]).统计模型结果表明,三组探针、性别、年龄、体温均与甲型H1N1流感相关并且加入性别等特征,预测结果有显著性的提高.结论 甲型H1N1流感诊断中,试剂盒三组探针和其他额外特征应一起作为标准来诊断甲型H1N1流感.
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