摘要
目的:了解宜春市2014-2018年五种监测的性传播疾病疫情的发病情况及流行病学特征,为有效制定防控策略与措施提供科学依据。方法:采用描述性流行病学方法对宜春市2014-2018年性病报病资料进行统计分析。结果:2014-2018年宜春市共报告性病病例12104例,年均发病率为43.90/105,各年发病率依次分别为40.55/105、39.74/105、39.46/105、48.88/105、50.79/105,先呈缓慢下降趋势后呈上升趋势;全市性病发病数排首位为梅毒,其次为尖锐湿疣、淋病;男女性病发病比值是1.10:1,男性略多于女性;报告病例主要集中在20-59岁(77.33%);职业以农民和无业为主;地区以袁州区、丰城市和高安市报告病例数较多。结论:宜春市性病流行趋势呈上升趋势,应加强性病的监测和干预,对高危人群开展健康教育,有针对性的对以梅毒为主的性病进行积极防治。
Objective: To understand the morbidity situation and the epidemic characteristics of sexually transmitted diseases(STDs) in Yichun city and provide scientific evidence for making preventive and control actions and strategies effectively in the future. Methods: Descriptive epidemiological analysis was conducted on the data of STDs collected from national disease reporting information system in Yichun city, 2014-2018. Results: Totally 12104 STDs cases were reported in Yichun from 2014 to 2018 and the average annual incidence rate was 43.90/10 5, the reported incidence of STDs in each year were 40.55/10 5,39.74/10 5,39.46/10 5,48.88/10 5,50.79/10 5 respectively. Among 5 monitored STDs, syphilis had highest reported incidence rate, the next are acuteness wet wart, gonorrhea. The ratio of male to female is 1.10:1 and the number of reported male diseases was higher than that of female. The most cases were people aged 20-59 years old, accounting for 77.33%. The famers and the housework and unemployed people were the main affected population. The areas with top three reported cases were Yuanzhou District, Fengcheng City, Gaoan City. Conclusion: The STDs epidemic trend in Yichun City has been increasing in total. The detection and intervention of the STDs should be strengthened, and high-risk group of STDs should be educated with the related knowledge in order to actively prevent and control STDs, especially syphilis.
作者
黄永真
吴静
邬秋林
杨云
HUANG Yong-zhen;WU Jing;WU Qiu-lin;YANG Yun(Medical School of Yichun University, Yichun 336000,China)
出处
《宜春学院学报》
2019年第6期44-48,共5页
Journal of Yichun University
关键词
性病
流行病学特征
疫情分析
Sexually transmitted diseases
Epidemiology
Analysis
