收稿日期: 2015-10-20
网络出版日期: 2016-04-20
基金资助
国家科技重大专项课题(2012ZX10004-219)
Epidemic characteristics of endemic typhus in 2005-2014, Zhejiang province, China
Received date: 2015-10-20
Online published: 2016-04-20
Supported by
Supported by the National Science and Technology Major Project of China (No. 2012ZX 10004-219)
目的 了解浙江省2005-2014年地方性斑疹伤寒的流行特征。方法 以中国疾病预防控制信息系统中收集的浙江省2005-2014年地方性斑疹伤寒病例资料为对象,利用描述性流行病学方法进行分析。结果 浙江省2005-2014年共报告地方性斑疹伤寒39例,年平均发病率为0.0086/10万。高发月份在6-9月,病例分布于6个地市,18个县(区),主要分布在农村(87.18%)。男女性别比为1.05:1,年龄中位数是47岁。临床诊断平均时间是10.0 d,实验室诊断平均时间是14.5 d,临床诊断和实验室诊断病例的职业分布差异有统计学意义(χ2=7.257,P=0.006);性别构成差异无统计学意义(χ2=1.293,P=0.256)。结论 浙江省地方性斑疹伤寒的防控工作应以农村和城乡结合部为主,需加强旅游人员健康教育,提高实验室检测能力。
张蓉, 孙继民, 陆群英, 卢苗贵, 施旭光, 任江萍, 龚震宇 . 浙江省2005-2014年地方性斑疹伤寒流行特征分析[J]. 中国媒介生物学及控制杂志, 2016 , 27(2) : 133 -136 . DOI: 10.11853/j.issn.1003.8280.2016.02.010
Objective To understand the epidemic characteristics of endemic typhus nearly 10 years in Zhejiang province, and provide a scientific basis for prevention and control. Methods Through the National Disease Reporting Information system, typhus cases data were collected in Zhejiang province from 2005 to 2014, analyzed by descriptive epidemiological methods. Results In total 39 typhus cases were reported in Zhejiang province from 2005 to 2014, the average annual incidence rate was 0.0086/100000. The incidence of the high risk season was June to September, and the cases were distributed in 6 cities, 18 counties (districts), and mainly in rural areas (87.18%). The male to female ratio was (1.05:1), the median age was 47 years old. The average time of clinical diagnosis and laboratory diagnosis were 10.0 d and 14.5 d, two diagnosis regimens of occupational distribution had statistically significant difference (χ2=7.257, P=0.006); gender constitute no statistical difference (χ2=1.293, P=0.256). Conclusion The key area of prevention and control typhus were rural and rural-urban fringe zone of Zhejiang province, health education in tourists and enhanced detection are warranted and improve the ability to detect.
Key words: Typhus; Epidemic characteristics; Rickettsia mooseri
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