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2008年1~5月乌鲁木齐市麻疹疫情暴发的检测结果分析

Analysis of Detecting Result of Measles Epidemic Situation in Urumqi from January to May, 2008
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摘要 目的了解2008年1~5月乌鲁木齐市麻疹疫情爆发流行的原因,探讨控制策略。方法采用酶联免疫吸附试验(ELISA)检测血清麻疹IgM抗体,对麻疹阳性病例共分5个年龄组进行统计学分析。结果这次疫情共送检麻疹疑似病例3513例,实验室确诊麻疹病例1481例,阳性率为42.16%,其中男性813例,女性668例,男女性别比为1.22∶1,两组之间的差异具有统计学意义(χ2=13.25,P<0.005);从年龄组分布来看,发病主要集中在0~8月龄组,阳性率为56.97%。其次是9月~8岁和29岁~的成人组也占有相当大的比例,分别为50.97%和50.69%;9~18岁组阳性率最低为22.75%。0~8月龄组和9~18岁组麻疹发病率的差异具有统计学意义(χ2=170.78,P<0.005)。结论麻疹病例逐渐向未到免疫年龄人群和成人转移,给当前麻疹防治工作提出了新的挑战。另外,掌握麻疹的采血时间,才能更好的提高麻疹的检出率。 Objective To find out the reasons for the prevalence of measles epidemic situation in Urumqi from January to May, 2008 and discuss the control strategy. Methods ELISA was taken to examine the IgM antibody of measles in sera. The cases with positive measles were divided into 5 groups to carry out statistical analysis. Results There were totally 3 515 cases with suspected measles, 1 481 cases with final diagnosis of measles by laboratory with the positive rate of 42.16%. Out of the cases, there were 813 cases of the male and 668 cases of the female with the gender ratio of 1.22: 1. There was significant statistical difference between the male and female(Х^2 = 12.99, P 〈0.005). In the distribution of age group, the cases mainly centralized the age group of 0 to 8 month - old with the positive rate of 56.79% then, the age group of 9 months to 8 years old and 29 years old, which occupied 50.97% and 50.69% respectively. The positive rate was the lowest of 22.75% in age group of 9 year - old to 18 year - old. There were significant statistical differences between age group of 0 to 8 month - old and 9 months to 8 year - old ( Х^2 = 170.78, P 〈 0.005 ). Conclusions The measles cases gradually transfer to those non - immune age groups and adults. It brings forward new challenges to the current prevention and cure of measles. What's more, to control the time of blood collection can improve the detection rate of measles.
出处 《地方病通报》 2009年第1期27-29,共3页 Endemic Diseases Bulletin
关键词 麻疹 疫情 分析 Measles Epidemic situation Analysis
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