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延边地区某县2013—2018年肺结核流行病学特征分析

Analysis of epidemiological characteristics of tuberculosis in a county of Yanbian area from 2013 to 2018
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摘要 [目的]分析延边地区某县2013—2018年肺结核的流行病学特征.[方法]收集延边地区某县结核病防治所2013—2018年肺结核病例资料及延边地区某县人口资料进行统计分析.[结果]延边地区某县2013—2018年肺结核患者总计518例,整体发病率呈下降趋势;男性发病率高于女性(2.35∶1),45-54岁肺结核患者所占比例最高,为24.90%,不同年龄与性别构成间差异均有统计学意义(P<0.05);肺结核发病比例最高的职业是农民;2-6月份是肺结核高发月份,其中3月份患病率最高;初治患者以阴性肺结核为主,初治、复治患者涂阳率均呈逐年上升趋势;肺结核整体治愈率呈逐年升高趋势.[结论] 2013—2018年延边地区某县肺结核整体发病率呈下降趋势,重点发病人群集中在男性、45-54岁、农民、家务及待业群体. OBJECTIVE To analyze the epidemiological characteristics of tuberculosis(TB) in a county of Yanbian area from 2013 to 2018. METHODS The tuberculosis cases data of tuberculosis control institute from 2013 to 2018 and population data of a county in Yanbian were collected for statistical analysis. RESULTS A total of 518 patients were diagnosed with TB in a county of Yanbian area from 2013 to 2018, and the overall incidence was declining. The incidence was higher in males than in females(2.35∶1). The proportion of tuberculosis patients aged 45-54 was the highest, it was 24.90%, and there was statistical significance in different age and gender(P<0.05). The occupation with the highest incidence was peasant. February to June were the months with high incidence of TB, among which March was the highest. The patients with primary treatment were mainly negative TB, and the smear positive rates of the primary treatment and the retreatment patients were increasing year by year. The overall cure rate of tuberculosis was increasing year by year. CONCLUSION From 2013 to 2018, the overall incidence rate of tuberculosis in a county of Yanbian area showed a downward trend. The main disease groups were males, 45 to 54 years old, peasants, domestic workers and unemployed people.
作者 田莹 李医华 TIAN Ying;LI Yihua(Department of Preventive Medicine,Yanbian University College of Medicine,Yanji 133002,Jilin,China)
出处 《延边大学医学学报》 CAS 2020年第2期93-96,共4页 Journal of Medical Science Yanbian University
关键词 肺结核 流行病学特征 疾病分布 pulmonary tuberculosis epidemiological characteristics disease distribution
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