Original Articles
Vol. 1 No. 2 (2007)
https://doi.org/10.4081/gh.2007.270

Strategy formulation for schistosomiasis japonica control in different environmental settings supported by spatial analysis: a case study from China

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Received: 23 December 2014
Published: 1 May 2007
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schistosomiasis, spatial analysis, kriging, prediction, geographical information systems, control strategy.

Authors

Zhao Chen
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Xiao-Nong Zhou
ipdzhouxn@sh163.net
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Kun Yang
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai; Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Xian-Hong Wang
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Zhen-Qi Yao
Dangtu Institute for Schistosomiasis Control, Dangtu, China.
Tian-Ping Wang
Anhui Institute of Parasitic Diseases, Wuhu, China.
Guo-Jing Yang
Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Ying-Jing Yang
Dangtu Institute for Schistosomiasis Control, Dangtu, China.
Shi-Qing Zhang
Anhui Institute of Parasitic Diseases, Wuhu, China.
Jian Wang
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Tie-Wu Jia
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Xiao-Hua Wu
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
With the aim of exploring the usefulness of spatial analysis in the formulation of a strategy for schistosomiasis japonica control in different environmental settings, a population-based database was established in Dangtu county, China. This database, containing the human prevalence of schistosomiasis at the village level from 2001 to 2004, was analyzed by directional trend analysis supported with ArcGIS 9.0 to select the optimum predictive approach. Based on the approach selected, different strata of prevalence were classified and the spatial distribution of human infection with Schistosoma japonicum was estimated. The second-order ordinary kriging approach of spatial analysis was found to be optimal for prediction of human prevalence of S. japonicum infection. The mean prediction error was close to 0 and the root-mean-square standardised error was close to 1. Starting with the different environmental settings for each stratum of transmission, four areas were classified according to human prevalence, and different strategies to control transmission of schistosomiasis were put forward. We conclude that the approach to use spatial analysis as a tool to predict the spatial distribution of human prevalence of S. japonicum infection improves the formulation of strategies for schistosomiasis control in different environmental settings at the county level.

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Strategy formulation for schistosomiasis japonica control in different environmental settings supported by spatial analysis: a case study from China. (2007). Geospatial Health, 1(2), 223-231. https://doi.org/10.4081/gh.2007.270

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