Open Access Research article

Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China

Yi-Biao Zhou12*, Song Liang34, Geng-Xin Chen5, Chris Rea6, Shi-Min Han5, Zong-Gui He5, Yuan-Pei Li1, Jian-Guo Wei1, Gen-Ming Zhao1 and Qing-Wu Jiang12*

Author Affiliations

1 Department of Epidemiology, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China

2 Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China

3 Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32610, USA

4 Emerging Pathogens Institute, University of Florida, Gainesville, FL, 32610, USA

5 Guichi Anti-schistosomiasis Station, Anhui, China

6 College of Public Health, The Ohio State University, Columbus, OH, USA

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BMC Public Health 2013, 13:297  doi:10.1186/1471-2458-13-297

Published: 4 April 2013



Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies.


A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale.


The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous.


The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities.

Schistosomiasis; Intervention; Geographical information system; Spatial-temporal distribution; Spatial autocorrelation analysis; Spatial scan statistic; Schistosoma japonicum