Spatial Analysis of Schistosomiasis in Hubei Province, China: A GIS-Based Analysis of Schistosomiasis from 2009 to 2013

Yan-Yan Chen, Xi-Bao Huang, Ying Xiao, Yong Jiang, Xiao-wei Shan, Juan Zhang, Shun-Xiang Cai and Jian-Bing Liu

PLOS ONE, 2015, vol. 10, issue 4, 1-14

Abstract: Background: Schistosomiasis remains a major public health problem in China. The major endemic areas are located in the lake and marshland regions of southern China, particularly in areas along the middle and low reach of the Yangtze River. Spatial analytical techniques are often used in epidemiology to identify spatial clusters in disease regions. This study assesses the spatial distribution of schistosomiasis and explores high-risk regions in Hubei Province, China to provide guidance on schistosomiasis control in marshland regions. Methods: In this study, spatial autocorrelation methodologies, including global Moran’s I and local Getis–Ord statistics, were utilized to describe and map spatial clusters and areas where human Schistosoma japonicum infection is prevalent at the county level in Hubei province. In addition, linear logistic regression model was used to determine the characteristics of spatial autocorrelation with time. Results: The infection rates of S. japonicum decreased from 2009 to 2013. The global autocorrelation analysis results on the infection rate of S. japonicum for five years showed statistical significance (Moran’s I > 0, P

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0118362

DOI: 10.1371/journal.pone.0118362

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