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中国安徽省日本血吸虫病的时空传播及环境决定因素

Spatio-temporal transmission and environmental determinants of Schistosomiasis Japonica in Anhui Province, China.

作者信息

Hu Yi, Li Rui, Bergquist Robert, Lynn Henry, Gao Fenghua, Wang Qizhi, Zhang Shiqing, Sun Liqian, Zhang Zhijie, Jiang Qingwu

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China; Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China.

Ingerod, Brastad, Sweden.

出版信息

PLoS Negl Trop Dis. 2015 Feb 6;9(2):e0003470. doi: 10.1371/journal.pntd.0003470. eCollection 2015 Feb.

Abstract

BACKGROUND

Schistosomiasis japonica still remains of public health and economic significance in China, especially in the lake and marshland areas along the Yangtze River Basin, where the control of transmission has proven difficult. In the study, we investigated spatio-temporal variations of S. japonicum infection risk in Anhui Province and assessed the associations of the disease with key environmental factors with the aim of understanding the mechanism of the disease and seeking clues to effective and sustainable schistosomiasis control.

METHODOLOGY/PRINCIPAL FINDINGS: Infection data of schistosomiasis from annual conventional surveys were obtained at the village level in Anhui Province, China, from 2000 to 2010 and used in combination with environmental data. The spatio-temporal kriging model was used to assess how these environmental factors affected the spatio-temporal pattern of schistosomiasis risk. Our results suggested that seasonal variation of the normalized difference vegetation index (NDVI), seasonal variation of land surface temperature at daytime (LSTD), and distance to the Yangtze River were negatively significantly associated with risk of schistosomiasis. Predictive maps showed that schistosomiasis prevalence remained at a low level and schistosomiasis risk mainly evolved along the Yangtze River. Schistosomiasis risk also followed a focal spatial pattern, fluctuating temporally with a peak (the largest spatial extent) in 2005 and then contracting gradually but with a scattered distribution until 2010.

CONCLUSION

The fitted spatio-temporal kriging model can capture variations of schistosomiasis risk over space and time. Combined with techniques of geographic information system (GIS) and remote sensing (RS), this approach facilitates and enriches risk modeling of schistosomiasis, which in turn helps to identify prior areas for effective and sustainable control of schistosomiasis in Anhui Province and perhaps elsewhere in China.

摘要

背景

日本血吸虫病在中国仍具有公共卫生和经济意义,特别是在长江流域的湖泊和沼泽地区,那里的传播控制已被证明很困难。在本研究中,我们调查了安徽省日本血吸虫感染风险的时空变化,并评估了该疾病与关键环境因素的关联,目的是了解疾病机制并寻找有效和可持续控制血吸虫病的线索。

方法/主要发现:从2000年到2010年在中国安徽省村级层面获取了年度常规调查的血吸虫病感染数据,并将其与环境数据结合使用。利用时空克里金模型评估这些环境因素如何影响血吸虫病风险的时空格局。我们的结果表明,归一化植被指数(NDVI)的季节变化、白天地表温度(LSTD)的季节变化以及与长江的距离与血吸虫病风险呈显著负相关。预测地图显示,血吸虫病患病率保持在较低水平,血吸虫病风险主要沿长江演变。血吸虫病风险也呈现出局灶性空间格局,随时间波动,在2005年达到峰值(最大空间范围),然后逐渐收缩,但呈分散分布直至2010年。

结论

拟合的时空克里金模型能够捕捉血吸虫病风险在空间和时间上的变化。结合地理信息系统(GIS)和遥感(RS)技术,这种方法有助于并丰富了血吸虫病风险建模,进而有助于确定安徽省乃至中国其他地区有效和可持续控制血吸虫病的优先区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e408/4319937/c3e04f306a8c/pntd.0003470.g001.jpg

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