摘要
目的分析迁安市2011-2018年艾滋病疫情流行特征和规律,评价目前防治工作效果,为今后制定防治策略和措施提供科学依据。方法收集迁安市2011-2018年新报告的艾滋病疫情资料,采用SPSS 22.0软件和描述性流行病学方法进行统计分析。结果全市2011-2018年共报告艾滋病病例111例,人群发病率为1.84/10万,死亡率0.23/10万;男性发病明显高于女性,男女比例为14.86∶1;发病年龄集中在21~50岁;农民发病最多(36.04%)。以男男性接触传播为主,占77.48%。来源于医疗机构检测病例占52.25%,检测咨询占27.93%。结论迁安市艾滋病疫情呈波动中上升状态,男男同性恋人群、农民、青壮年是艾滋病防治的重点人群,医疗机构就诊病例检测和疾控中心检测咨询是发现病例的主要途径。
Objective This paper analyzes the epidemic characteristics and regularity of HIV/AIDS in Qian’an City from 2011 to 2018,evaluates the effectiveness of current prevention and control work,and provides a scientific basis for formulating prevention and control strategies and measures in the future.Methods The newly reported AIDS epidemic data in the city from 2011 to 2018 were collected,and SPSS 22.0 software and descriptive epidemiological methods were used for statistical analysis.Results A total of 111 cases of AIDS were reported in the whole city from 2011 to 2018,with a population incidence of 184/100000 and a population mortality rate of 0.23/100000.The incidence of the male was significantly higher than that of the female,with a ratio of 14.86∶1.The highest incidence occurred in the group of 21 to 50 years old.Farmers had the most disease(36.04%).The male-to-male contact transmission was dominant,accounting for 77.48%.The detected cases from medical institutions and the detection consultation accounted for 52.25%and 27.93%respectively.Conclusion The AIDS epidemic in Qian′an shows a fluctuating and rising state.Gay men,farmers and young adults are the key groups of AIDS prevention and treatment.The detection of cases in medical institutions and the center for disease control and prevention are the main ways to find cases.
作者
王志永
张丽艳
王智慧
王建欣
王欣
王翠玲
WANG Zhi-yong;ZHANG Li-yan;WANG Zhi-hui;WANG Jian-xin;WANG Xin;WANG Cui-ling(Qian’an County Center for Disease Control and Prevention,Hebei 064400,China;不详)
出处
《医学动物防制》
2021年第7期667-669,共3页
Journal of Medical Pest Control
基金
2014年度河北省医学科学研究重点课题计划(ZD20140018)。
关键词
HIV
AIDS
疫情
流行特征
分析
HIV
Acquired immune deficiency syndrome
Epidemic
Epidemiological characteristics
Analysis