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Spatial analysis and identification of environmental risk factors affecting the distribution of Indoplanorbis and Lymnaea species in semi-arid and irrigated areas of Haryana India

机译:在印度哈里亚纳邦半干旱和灌溉区影响印第氏藻和林科物种分布的环境风险因素的空间分析和识别

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摘要

Fasciolosis, amphistomosis and schistosomosis, transmitted by the freshwater snail species Indoplanorbis and Lymnaea, are important snail-borne diseases in India as they affect the entire spectrum of domestic animals causing substantial mortality and economic loss. Identifying any heterogeneity in the spatial distribution of these snail-borne diseases will allow for targeted disease control and efficient use of resources. The objectives of this study were threefold: (i) to describe and explore the spatial distribution of Indoplanorbis and Lymnaea in Rohtak and Jhajjar districts of Haryana, India (ii) to identify factors associated with occurrence of these freshwater snail species and (iii) to produce a map showing the predicted risk of occurrence of Lymnaea and Indoplanorbis spp. in the study area. Snails were collected from water bodies of 99 settlements out of a total of 453 in the study area. Kernel smoothing was used to generate a kernel ratio map while Kulldorff's spatial scan statistic was used to detect clusters of settlements with a high/low risk. Multivariable logistic regression showed that snails were almost ten times more likely to be present in rice-growing areas than in those not growing rice (OR 9.24) and that snails were less likely to be present with each 1 km increase in distance from a canal (OR 0.86). The regression model was used to produce a map illustrating the predicted risk of snail occurrence. Since the distribution of vector snails mirrors the distribution of snail-borne parasitic diseases, such spatial analysis helps to determine the relative risk of snail-infestation as well as snail-borne diseases' distribution and planning of control activities.
机译:淡水蜗牛Indoplanorbis和Lymnaea传播的筋膜炎,扁豆体病和血吸虫病是印度重要的蜗牛传播疾病,因为它们影响整个家畜,造成大量死亡和经济损失。识别这些蜗牛传播疾病的空间分布中的任何异质性,都可以实现针对性的疾病控制和资源的有效利用。这项研究的目标是三方面的:(i)描述和探索印度哈里亚纳邦Rohtak和Jhajjar地区的Indoplanorbis和Lymnaea的空间分布(ii)识别与这些淡水蜗牛物种的发生有关的因素,以及(iii)产生一个地图,显示预测的Lymnaea和Indoplanorbis spp发生风险。在研究区域。从研究区域的453个定居点中的99个定居点的水体中收集了蜗牛。内核平滑用于生成内核比率图,而Kulldorff的空间扫描统计量用于检测具有高/低风险的住区群集。多变量logistic回归显示,与未种植水稻的地区相比,在水稻种植地区存在蜗牛的可能性几乎高出十倍(OR 9.24),并且距运河的距离每增加1公里,则蜗牛出现的可能性就较小(或0.86)。回归模型用于生成说明蜗牛发生的预测风险的图。由于矢量蜗牛的分布反映了蜗牛传播的寄生虫疾病的分布,因此这种空间分析有助于确定蜗牛侵染的相对风险以及蜗牛传播的疾病的分布和控制活动的计划。

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