High-resolution remote sensing-based spatial modeling for the prediction of potential risk areas of schistosomiasis in the Dongting Lake area, China.

Abstract:

:The geographical distribution of snail (i.e., the intermediate host of schistosomiasis) is consistent with that of endemic areas. The suitable snail habitus requires necessary environmental conditions for snail population. The high-resolution remote sensing provides an important tool for the spatio-temporal analysis of disease monitoring and prediction. This study conducted a typical schistosomiasis epidemic area in the marshland and lake regions along the Yangtze River, Yueyang City, Hunan Province of China. And three types of environmental factors, i.e., NDVI, soil moisture, and shortest distance to water body, associated with the geographical distribution of snail population, were extracted from the high-resolution remoting sensing data. The predicted distribution of snail habitus from the high-resolution environmental factors were compared with the data of annual program of snail survey. The results have shown that the application of high-resolution remote sensing can improve the accuracy of the modeled and predicted the potential risk areas of schistosomiasis, and may become an important tool for the ongoing national schistosomiasis control program.

journal_name

Acta Trop

journal_title

Acta tropica

authors

Xue JB,Xia S,Zhang LJ,Abe EM,Zhou J,Li YY,Hao YW,Wang Q,Xu J,Li SZ,Zhou XN

doi

10.1016/j.actatropica.2019.105077

subject

Has Abstract

pub_date

2019-10-01 00:00:00

pages

105077

eissn

0001-706X

issn

1873-6254

pii

S0001-706X(18)31095-7

journal_volume

198

pub_type

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