Identifying high-risk areas of schistosomiasis and associated risk factors in the Poyang Lake region, China

Identifying high-risk areas of schistosomiasis and associated risk factors in the Poyang Lake region, China
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DOI:
10.1017/s003118200999206x
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发表时间:
2010-06-01
期刊:
影响因子:
2.4
通讯作者:
Jiang, Q. W.
Jiang, Q. W.
中科院分区:
医学2区
文献类型:
--
作者:
Peng, W. X.;Tao, B.;Jiang, Q. W.

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日本血吸虫病在小区域的流行病学仍然知之甚少,这在中国尤其如此。我们的目的是确定中国鄱阳湖地区血吸虫病的高风险地区和相关的危险因素。对920人进行了横断面调查,发现60人(6.5%)感染日本血吸虫。使用手持全球定位系统确定家庭和蜗牛栖息地的位置。我们将数据映射到地理信息系统中,并使用空间扫描统计来探索感染的聚类,逻辑回归和贝叶斯地质统计模型来确定每个人感染状态的风险因素,并使用多项逻辑回归来确定居住在集群区域的风险因素。血吸虫病的风险在空间上是聚集的,渔民和男性的风险更高,而不是居住在靠近蜗牛栖息地和受感染水源的人。这项研究表明,在一个小的空间尺度上的血吸虫病流行的显着的空间变异。结果表明,人口因素(性别,职业),而不是距离受感染的水是在小规模的空间水平上推动人类传播。这些信息可用于规划以驱虫药物管理、控制蜗牛和改善卫生设施为基础的针对当地的干预措施。
The epidemiology of schistosomiasis japonicum over small areas remains poorly understood, and this is particularly true in China. We aimed to identify high-risk areas for schistosomiasis and associated risk factors in the Poyang Lake region, China. A cross-sectional study was conducted and 60 of 920 persons (6.5%) were found to be infected with Schistosoma japonicum. Locations of households and snail habitats were determined using a hand-held global positioning system. We mapped the data in a geographical information system and used spatial scan statistics to explore clustering of infection, logistic regression and Bayesian geostatistical models to identify risk factors for each individual's infection status and multinomial logistic regression to identify risk factors for living in a cluster area. The risk of schistosomiasis was spatially clustered and higher in fishermen and males, not in persons who lived in close proximity to snail habitats and infected water sources. This study has demonstrated significant spatial variation in the prevalence of schistosomiasis at a small spatial scale. The results suggest that demographic factors (gender, occupation) rather than the distance to infected water are driving human transmission at small-scale spatial levels. Such information can be used to plan locally targeted interventions based on anthelminthic drug administration, snail control and sanitation improvement.