Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors.
Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors.
复制标题
江西省星子市血吸虫病空间格局：环境因素的影响
DOI：
10.1186/1756-3305-6-214
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发表时间：
2013-07-24
影响因子：
3.2
通讯作者：
Jiang Q
中科院分区：
文献类型：
--
作者：
Hu Y;Zhang Z;Chen Y;Wang Z;Gao J;Tao B;Jiang Q;Jiang Q
背景近年来长江中下游地区血吸虫病的回升对现有的控制策略提出了挑战。在本研究中，提出了在中国星子县进行潜在高风险蜗牛栖息地的识别，作为可替代的可持续控制策略。利用标准化调查的寄生虫学数据，对全县42个样本村36208名当地居民（6-65岁）进行调查，并结合环境数据调查血吸虫病风险的空间格局。方法采用logistic回归模型拟合血吸虫病发病风险，检验村一级环境因素是否可能是血吸虫病发病的危险因素。然后用普通克里格法预测全县血吸虫病流行情况。结果风险分析结果表明，与钉螺栖息地和湿地的距离、降雨量、地表温度、日照时数、植被等因素与钉螺感染有显著相关性，剩余感染空间格局不存在空间相关性。预测图显示，高风险区位于本湖、聊花池和石下湖附近。结论这些显著的环境因素可以很好地解释血吸虫感染的空间变异，血吸虫病风险预测图所描绘的血吸虫高危生境将有助于地方决策者制定更具可持续性的控制策略。
BackgroundThe recent rebounds of schistosomiasis in the middle and lower reaches of the Yangtze River pose a challenge to the current control strategies. In this study, identification of potential high risk snail habitats was proposed, as an alternative sustainable control strategy, in Xingzi County, China. Parasitological data from standardized surveys were available for 36,208 locals (aged between 6–65 years) from 42 sample villages across the county and used in combination with environmental data to investigate the spatial pattern of schistosomiasis risks.MethodsEnvironmental factors measured at village level were examined as possible risk factors by fitting a logistic regression model to schsitosomiasis risk. The approach of ordinary kriging was then used to predict the prevalence of schistosomiasis over the whole county.ResultsRisk analysis indicated that distance to snail habitat and wetland, rainfall, land surface temperature, hours of daylight, and vegetation are significantly associated with infection and the residual spatial pattern of infection showed no spatial correlation. The predictive map illustrated that high risk regions were located close to Beng Lake, Liaohuachi Lake, and Shixia Lake.ConclusionsThose significant environmental factors can perfectly explain spatial variation in infection and the high risk snail habitats delineated by the predicted map of schistosomiasis risks will help local decision-makers to develop a more sustainable control strategy.
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影响因子：
2.4
作者：
Clements, A. C. A.;Moyeed, R.;Brooker, S.
通讯作者：
Brooker, S.
影响因子：
3.7
作者：
SAMPSON, PD;GUTTORP, P
通讯作者：
GUTTORP, P
DOI：
10.1073/pnas.0700900104
发表时间：
2007-10-09
影响因子：
11.1
作者：
Singer, Burton H.;de Castro, Marcia Calclas
通讯作者：
de Castro, Marcia Calclas
影响因子：
4.4
作者：
Gelman, Andrew
通讯作者：
Gelman, Andrew
DOI：
10.2471/blt.05.025031
发表时间：
2006-02-01
期刊：
Bulletin of the World Health Organization: International Journal of Public Health
影响因子：
--
作者：
Liang, Song;Yang, Changhong;Qiu, Dongchuan
通讯作者：
Qiu, Dongchuan