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首页> 外文期刊>Parasitology >Location of active transmission sites of Schistosoma japonicum in lake and marshland regions in China.
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Location of active transmission sites of Schistosoma japonicum in lake and marshland regions in China.

机译：日本血吸虫在中国湖泊和沼泽地的主动传播场所的位置。

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摘要

Schistosomiasis control in China has, in general, been very successful during the past several decades. However, the rebounding of the epidemic situation in some areas in recent years raises concerns about a sustainable control strategy of which locating active transmission sites (ATS) is a necessary first step. This study presents a systematic approach for locating schistosomiasis ATS by combining the approaches of identifying high risk regions for schisotosmiasis and extracting snail habitats. Environmental, topographical, and human behavioural factors were included in the model. Four significant high-risk regions were detected and 6 ATS were located. We used the normalized difference water index (NDWI) combined with the normalized difference vegetation index (NDVI) to extract snail habitats, and the pointwise 'P-value surface' approach to test statistical significance of predicted disease risk. We found complicated non-linear relationships between predictors and schistosomiasis risk, which might result in serious biases if data were not properly treated. We also found that the associations were related to spatial scales, indicating that a well-designed series of studies were needed to relate the disease risk with predictors across various study scales. Our approach provides a useful tool, especially in the field of vector-borne or environment-related diseases.
机译：总体而言，过去几十年来，中国的血吸虫病控制非常成功。但是，近年来某些地区的疫情回升引起了人们对可持续控制策略的关注，在该策略中，确定主动传播地点（ATS）是必不可少的第一步。这项研究提出了一种结合血吸虫病高风险区域识别方法和蜗牛栖息地提取方法来定位血吸虫病ATS的系统方法。环境，地形和人类行为因素均包含在模型中。检测到四个重要的高风险区域，并找到了6个ATS。我们使用归一化差异水指数（NDWI）结合归一化差异植被指数（NDVI）来提取蜗牛栖息地，并使用逐点“ P值表面”方法来检验预测疾病风险的统计学意义。我们发现预测因素与血吸虫病风险之间存在复杂的非线性关系，如果数据处理不当，可能会导致严重的偏差。我们还发现关联与空间尺度相关，表明需要精心设计的一系列研究才能将疾病风险与跨各种研究尺度的预测因子相关联。我们的方法提供了有用的工具，尤其是在媒介传播或与环境有关的疾病领域。

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