Literature DB >> 22164484

[Spatial analysis of Oncomelania snail information based on grid data-driven].

Gang Liu1, Qiong-Yao Huang, Yun-Ziang Liu, Jiang-Tao Wang, Fei Peng, Nian-Meng Liu.   

Abstract

OBJECTIVE: To explore the relationship between the Oncomelania snail situation and the distance to the water source, soil humidity, vegetation and water level in flood seasons in the islets of Changsha Section of the Xiang River.
METHODS: Combined with the NDVI and soil humidity of islets, the GIS spatial analysis based on grid data-driven was used to analyze the snail situation in Changsha Section of the Xiang River from 2005 to 2009. The relationship between the snail density and the water level in blood seasons was analyzed.
RESULTS: In 2005, the snails in Zengpi Islet were mainly distributed at the range of 40-240 m far away from the nearest water source, and the number at the spots with a distance of 60 m was the largest. There was an obvious positive correlation between the snail density and water level in flood seasons. The ranges of the Normalized Difference Vegetation Index and soil humidity of Zengpi Islet in 2005 were 0-0.982 and 0-0.298, respectively and the main vegetation in Changsha Section of the Xiang River were weed and sedge. The map of snail situation by year was drawn according to the standard water level, which reflected the snail situation intuitionistically.
CONCLUSIONS: By using spatial analysis based on grid data-driven, the situation of vegetation, soil humidity and snail accurately can be reflected, which can help us to understand the endemic situation timely. Even under the circumstance of human intervention, the water level in flood seasons is still an important factor influencing the change of snail situation.

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Year:  2011        PMID: 22164484

Source DB:  PubMed          Journal:  Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi        ISSN: 1005-6661


  1 in total

1.  Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control.

Authors:  Y Xie; W Wu; Y Zhang; Y Zhang; Z Peng; Y Hu; M Xu; X Tan
Journal:  Epidemiol Infect       Date:  2020-07-01       Impact factor: 2.451

  1 in total

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