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2006-2017年郑州市梅毒流行病学特征 被引量:2

Epidemiological characteristics of syphilis in Zhengzhou, 2006-2017
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摘要 目的了解郑州市梅毒的流行病学特征及趋势,为梅毒防治对策制定提供科学依据。方法通过"中国疾病预防控制信息管理系统"收集2006-2017年郑州市梅毒报告病例,采用描述性流行病学方法进行分析。结果2006-2017年梅毒的发病率呈先升后降的趋势(χ趋势2=9.647,P<0.001),年平均发病率为34.83/10万。以隐性梅毒为主,占总数的70.97%;梅毒各年龄组发病率差异有统计学意义(χ趋势2=125.824,P<0.001),最高为356.36/10万;城区发病率高于农村(χ2=5066.911,P<0.001);职业以农民、家务及待业、离退人员为主,分别占29.33%、23.86%、13.83%。结论继续加强梅毒防控工作力度,提高检测技术,规范梅毒诊治,全面实施健康教育、行为干预等综合防治措施。 Objective To understand the syphilis epidemiological characteristics and tendency in Zhengzhou so as to provide scientific evidence for formulating the strategy of prevention and treatment in the future.Methods Data of syphilis cases reported in Zhengzhou from 2006 to 2017 were extracted from"China Information System for Disease Control and Prevention".The descriptive epidemiological methods were used to analyze.Results From 2006 to 2017,the incidence rate of syphilis increased first and then decreased(χtrend2=9.647,P<0.001)with the average annual incidence rate of 34.83/105.Recessive syphilis was the common type of the disease,accounting for 70.97%of the total cases.Syphilis incidence rates among all age groups were statistically significantly different(χtrend2=125.824,P<0.001),and the highest incidence rate was 356.36/105;The incidence rate in urban areas was higher than that in rural areas(χ2=5066.911,P<0.001).The occupations were mainly farmers,domestic workers,unemployed and retired people,accounting for 29.33%,23.86%and 13.83%,respectively.Conclusion It should continue to strengthen efforts to prevent and control syphilis,improve testing techniques,and standardize the diagnosis and treatment of syphilis.Comprehensive prevention and control measures such as health education,behavioral intervention and so on should be fully implemented.
作者 武恩平 刘柃吱 李倩 WU Enping;LIU Lingzhi;LI Qian(Zhengzhou Center for Diseases Control and Prevention,Zhengzhou,Henan 450007,China;不详)
出处 《河南预防医学杂志》 2021年第6期440-442,446,共4页 Henan Journal of Preventive Medicine
关键词 梅毒 流行趋势 特征 发病率 Syphilis Prevalence trends Characteristics Incidence
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