CAJ | 학술논문

目的了解2007年新疆和布克赛尔蒙古自治县人群棘球蚴病主要流行现状及其分布特征.方法采用整群抽样方法,在该县抽取铁布肯乌散乡、那仁和布克牧场2个地区的居民,用问卷调查、血清免疫学和B超检查等方法进行人群棘球蚴病流行病学现况调查.结果调查人群B超及手术史检出的棘球蚴病患病率为9.0%(64/712),血清学阳性率为15.6%(111/712),其中细粒棘球蚴病患病率为8.7%(62/712),多房棘球蚴病患病率为0.3%(2/712).不同职业、年龄、家庭屠宰牲畜和饮用水源的人群细粒棘球蚴病患病率,差异有统计学意义(P<0.05),其中职业以牧民患病率[13.4%(27/201)]最高,年龄以20～<40岁年龄组人群患病率最高(12.8%),但不同性别、民族及文化程度人群细粒棘球蚴病患病率和血清学阳性率差异无统计学意义(P>0.05).结论细粒棘球蚴病在该地区高度流行,职业、年龄及饮用水源可能是其主要的危险因素.
목적 료해2007년신강화포극새이몽고자치현인군극구유병주요류행현상급기분포특정.방법 채용정군추양방법,재해현추취철포긍오산향、나인화포극목장2개지구적거민,용문권조사、혈청면역학화B초검사등방법진행인군극구유병류행병학현황조사.결과 조사인군B초급수술사검출적극구유병환병솔위9.0%(64/712),혈청학양성솔위15.6%(111/712),기중세립극구유병환병솔위8.7%(62/712),다방극구유병환병솔위0.3%(2/712).불동직업、년령、가정도재생축화음용수원적인군세립극구유병환병솔,차이유통계학의의(P<0.05),기중직업이목민환병솔[13.4%(27/201)]최고,년령이20～<40세년령조인군환병솔최고(12.8%),단불동성별、민족급문화정도인군세립극구유병환병솔화혈청학양성솔차이무통계학의의(P>0.05).결론 세립극구유병재해지구고도류행,직업、년령급음용수원가능시기주요적위험인소.
Objective To investigate the characteristics and distribution of human eehinococcosis in Hobukesar Mongolian Autonomous County (HMAC) in Xinjiang. Methods Using cluster sampling methods, the 2 counties (Tiebukenwusa and Narenhebuke) in HMAC were chosen as focusing areas for investigation. A survey of human echinococcosis including questionnaire, serological test and abdominal ultrasonic scan was carried out. Results The prevalence of human echinococcosis was 9.0% (64/712) by ultrasound and surgical history, including 8.7% (62/712) for cystic eehinococcosis(CE), 0.3%(2/712) for alveolar echinococcosis(AE) and 15.6%(111/712) for total of serological positives in HMAC. CE prevalence rate of different occupations, age, family slaughtering livestock and drinking water source had significant differences(P<0.05). Herdsmen as the highest risk group showed a CE prevalence of the 13.4% (27/201) in comparison with other occupations. The ages between 20 to<40 year-old were at the highest risk stage with 12.8% incidence. But CE prevalence rate of different gender, ethnic and education groups had not significant differences(P>0.05). Conclusions HMAC could be considered as a high endemic human CE region in Xinjiang. The current study reported the main risk factors may include occupations, age difference and drinking water source.