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Location of active transmission sites of Schistosoma japonicum in lake and marshland regions in China

Published online by Cambridge University Press:  06 May 2009

Z. J. ZHANG ,
T. E. CARPENTER ,
H. S. LYNN ,
Y. CHEN ,
R. BIVAND ,
A. B. CLARK ,
F. M. HUI ,
W. X. PENG ,
Y. B. ZHOU  and
G. M. ZHAO
...Show all authors
Z. J. ZHANG*
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, No. 138 Yi Xue Yuan Road, Shanghai 200032, China Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, China
T. E. CARPENTER
Affiliation:
Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, One Shields Avenue, Davis, CA 95616, USA
H. S. LYNN
Affiliation:
Department of Health Statistics, School of Public Health, Fudan University, No. 138 Yi Xue Yuan Road, Shanghai 200032, China
Y. CHEN
Affiliation:
Department of Epidemiology and Community Medicine, Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, Ontario, Canada
R. BIVAND
Affiliation:
Department of Economics, Norwegian School of Economics and Business Administration, Helleveien 3, N-5045 Bergen, Norway
A. B. CLARK
Affiliation:
School of Medicine, Health Policy and Practice, University of East Anglia, Norwich, UK
F. M. HUI
Affiliation:
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China
W. X. PENG
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, No. 138 Yi Xue Yuan Road, Shanghai 200032, China Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, China
Y. B. ZHOU
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, No. 138 Yi Xue Yuan Road, Shanghai 200032, China Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, China
G. M. ZHAO
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, No. 138 Yi Xue Yuan Road, Shanghai 200032, China Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, China
Q. W. JIANG
Affiliation:
Department of Epidemiology, School of Public Health, Fudan University, No. 138 Yi Xue Yuan Road, Shanghai 200032, China Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, China
*
*Corresponding author: Department of Epidemiology, School of Public Health, Fudan University, No. 138 Yi Xue Yuan Road, Shanghai 200032, China. Tel:/Fax: +86 21 54237410. E-mail: [email protected]
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Summary

Schistosomiasis control in China has, in general, been very successful during the past several decades. However, the rebounding of the epidemic situation in some areas in recent years raises concerns about a sustainable control strategy of which locating active transmission sites (ATS) is a necessary first step. This study presents a systematic approach for locating schistosomiasis ATS by combining the approaches of identifying high risk regions for schisotosmiasis and extracting snail habitats. Environmental, topographical, and human behavioural factors were included in the model. Four significant high-risk regions were detected and 6 ATS were located. We used the normalized difference water index (NDWI) combined with the normalized difference vegetation index (NDVI) to extract snail habitats, and the pointwise ‘P-value surface’ approach to test statistical significance of predicted disease risk. We found complicated non-linear relationships between predictors and schistosomiasis risk, which might result in serious biases if data were not properly treated. We also found that the associations were related to spatial scales, indicating that a well-designed series of studies were needed to relate the disease risk with predictors across various study scales. Our approach provides a useful tool, especially in the field of vector-borne or environment-related diseases.

Keywords

Schistosoma japonicumOncomelania hupensisspatial epidemiologyremote sensinggeographical information systemChina
Type
Research Article
Information
Parasitology , Volume 136 , Issue 7 , June 2009 , pp. 737 - 746
Copyright
Copyright © Cambridge University Press 2009

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References

REFERENCES

Aoki, Y., Sato, K., Muhoho, N. D., Noda, S. and Kimura, E. (2003). Cercariometry for detection of transmission sites for schistosomiasis. Parasitology International 52, 403–408.CrossRefGoogle ScholarPubMed
Beck-Wörner, C., Raso, G., Vounatsou, P., N'Goran, E. K., Rigo, G., Parlow, E. and Utzinger, J. (2007). Bayesian spatial risk prediction of schistosoma mansoni infection in western Cote d'Ivoire using a remotely-sensed digital elevation model. American Journal of Tropical Medicine and Hygiene 76, 956–963.CrossRefGoogle ScholarPubMed
Brooker, S. and Michael, E. (2000). The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections. Advances in Parasitology 47, 245–288.CrossRefGoogle ScholarPubMed
Brooker, S., Hay, S. I. and Bundy, D. A. (2002). Tools from ecology: useful for evaluating infection risk models? Trends in Parasitology 18, 70–74.CrossRefGoogle ScholarPubMed
Brooker, S., Clements, A. C., Bundy, D. A. P. (2006). Global epidemiology, ecology and control of soil-transmitted helminth infections. Advances in Parasitology 62, 221–261.CrossRefGoogle ScholarPubMed
Chen, H. G. and Lin, D. D. (2004). The prevalence and control of schistosomiasis in Poyang Lake region, China. Parasitology International 53, 115–125.CrossRefGoogle ScholarPubMed
Chen, X. Y. (2005). Schistosomiasis control strategy, administrative pattern, financial support and technological processes under different background in China. Ph.D. thesis, Fudan University, China.Google Scholar
Chen, X. Y., Wang, L. Y., Cai, J. M., Zhou, X. N., Zheng, J., Guo, J. G., Wu, X. H., Engels, D. and Chen, M. G. (2005). Schistosomiais control in China: the impact of a 10-year World Bank Loan Project (1992–2001). Bulletin of the World Health Organization 83, 43–48.Google Scholar
Clements, A. C., Brooker, S., Nyandindi, U., Fenwick, A. and Blair, L. (2008). Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East Africa. International Journal for Parasitology 38, 401–415.CrossRefGoogle ScholarPubMed
Guo, J. G., Vounatsou, P., Cao, C. L., Utzinger, J., Zhu, H. Q., Anderegg, D., Zhu, R., He, Z. Y., Li, D., Hu, F., Chen, M. G. and Tanner, M. (2005). A geographic information and remote sensing based model for prediction of Oncomelania hupensis habitats in the Poyang Lake area, China. Acta Tropica 96, 213–222.CrossRefGoogle ScholarPubMed
Hastie, T. and Tibshirani, R. (1990). Generalized Additive Models. Chapman and Hall, London, UK.Google Scholar
Hu, F., Lin, D. D., Liu, Y., Liu, Y. M., Huang, X. H., Gao, B., Li, Z. S., Li, J. Y. and Gao, Z. L. (2007). Studies on relationship between spatial distribution of people's behavior and infection of Schistosoma japonicum in Poyang Lake region. Chinese Journal of Schistosomiasis Control 19, 345–348.Google Scholar
Hu, G. H., Hu, J., Song, K. Y., Lin, D. D., Zhang, J., Cao, C. L., Xu, J., Li, D. and Jiang, W. S. (2005). The role of health education and health promotion in the control of schistosomiasis: experiences from a 12-year intervention study in the Poyang Lake area. Acta Tropica 96, 232–241.CrossRefGoogle ScholarPubMed
Jiang, Q. W., Wang, L. Y., Guo, J. G., Chen, M. G., Zhou, X. N. and Engels, D. (2002). Morbidity control of schistosomiasis in China. Acta Tropica 82, 115–125.Google Scholar
Kelsall, J. E. and Diggle, P. J. (1998). Spatial variation in risk of disease: a nonparametric binary regression approach. Applied Statistics 47, 559–573.Google Scholar
King, C. H., Dickman, K. and Tisch, D. J. (2005). Reassessment of the cost of chronic helmintic infection: a meta-analysis of disability-related outcomes in endemic schistosomiasis. Lancet 365, 1561–1569.CrossRefGoogle ScholarPubMed
King, C. H., Sturrock, R. F., Kariuki, H. C. and Hamburger, J. (2006). Transmission control for schistosomiasis – why it matters now. Trends in Parasitology 22, 575–582.CrossRefGoogle ScholarPubMed
Kulldorff, M. (2006). SaTScan™ User Guide for Version 7.0. http://www.satscan.org/Google Scholar
Li, Y. S., Sleigh, A. C., Williams, G. M., Ross, A. G. P., Li, Y., Forsyth, S. J., Tanner, M. and McManus, D. P. (2000 a). Measuring exposure to Schistosoma japonicum in China. III. Activity diaries, snail and human infection, transmission ecology and options for control. Acta Tropica 75, 279–289.CrossRefGoogle Scholar
Li, Y. S., Sleigh, A. C., Ross, A. G. P., Williams, G. M., Tanner, M. and McManus, D. P. (2000 b). Epidemiology of Schistosoma japonicum in China: morbidity and strategies for control in the Dongting Lake region. International Journal for Parasitology 30, 273–281.CrossRefGoogle Scholar
Muhoho, N. D., Katsumata, T., Kimura, E., Migwi, D. K., Mutua, W. R., Kiliku, F. M., Habe, S. and Aoki, Y. (1997). Cercarial density in the river of an endemic area of schistosomiasis haematobia in Kenya. American Journal of Tropical Medicine and Hygiene 57, 162–167.CrossRefGoogle ScholarPubMed
Raso, G., Vounatsou, P., Singer, B. H., N'Goran, E. K., Tanner, M. and Utzinger, J. (2006). An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni-hookworm coinfection. Proceedings of the National Academy of Sciences, USA 103, 6934–6939.CrossRefGoogle ScholarPubMed
Rudge, J. W., Stothard, J. R., Basanez, M. G., Mgeni, A. F., Khamis, I. S., Khamis, A. N. and Rollinson, D. (2008). Micro-epidemiology of urinary schistosomiasis in Zanzibar: Local risk factors associated with distribution of infections among schoolchildren and relevance for control. Acta Tropica 105, 45–54.CrossRefGoogle ScholarPubMed
Singer, B. H. and de Castro, M. C. (2007). Bridges to sustainable tropical health. Proceedings of the National Academy of Sciences, USA 104, 16038–16043.CrossRefGoogle ScholarPubMed
Steinmann, P., Keiser, J., Bos, R., Tanner, M. and Utzinger, J. (2006). Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at risk. The Lancet Infectious Diseases 6, 411–425.CrossRefGoogle ScholarPubMed
Sturrock, R. F. (1986). Snail collection to detect schistosome transmission sites. Parasitology Today 2, 59–61.CrossRefGoogle ScholarPubMed
Utzinger, J., Mayombana, C., Mez, K. and Tanner, M. (1997). Evaluation of chemical and physical-morphological factors as potential determinants of Biomphalaria pfeifferi (Krauss, 1848) distribution. Memórias do Instituto Oswaldo Cruz 92, 323–328.CrossRefGoogle ScholarPubMed
Utzinger, J., Bergquist, R., Xiao, S. H., Singer, B. H. and Tanner, M. (2003). Sustainable schistosomiasis control – the way forward. Lancet 362, 1932–1934.CrossRefGoogle ScholarPubMed
Utzinger, J., Zhou, X. N., Chen, M. G. and Bergquist, R. (2005). Conquering schistosomiasis in China: the long march. Acta Tropica 96, 69–96.Google Scholar
Wang, L. D., Chen, H. G., Guo, J. G., Zeng, X. J., Hong, X. L., Xiong, J. J., Wu, X. H., Wang, X. H., Wang, L. Y., Xia, G., Hao, Y., Chin, D. P. and Zhou, X. N. (2009). A strategy to control transmission of Schistosoma japonicum in China. The New England Journal of Medicine 360, 121–128.CrossRefGoogle ScholarPubMed
Webster, T., Vieira, V., Weinberg, J. and Aschengrau, A. (2006). Method for mapping population-based case-control studies: an application using generalized additive models. International Journal of Health Geographics 5, 26. Doi: 10.1186/1476-072X-5-26.CrossRefGoogle ScholarPubMed
Yang, G. J., Vounatsou, P., Zhou, X. N., Tanner, M. and Utzinger, J. (2005). A Bayesian-based approach for spatio-temporal modeling of county level prevalence of Schistosoma japonicum infection in Jiangsu province, China. International Journal for Parasitology 35, 155–162.CrossRefGoogle ScholarPubMed
Yang, K., Wang, X. H., Yang, G. J., Wu, X. H., Qi, Y. L., Li, H. J. and Zhou, X. N. (2008). An integrated approach to identify distribution of Oncomelania hupensis, the intermediate host of Schistosoma japonicum, in a mountainous region in China. International Journal for Parasitology 38, 1007–1016.CrossRefGoogle Scholar
Zhang, Z. J., Clark, A. B., Bivand, R., Chen, Y., Carpenter, T. E., Peng, W. X., Zhou, Y. B., Zhao, G. M. and Jiang, Q. W. (2008 a). Nonparametric spatial analysis to detect high risk regions for schistosomiasis in Guichi, China. Transactions of the Royal Society of Tropical Medicine and Hygiene (in the Press). doi:10.1016/j.trstmh.2008.11.012Google ScholarPubMed
Zhang, Z. J., Carpenter, T. E., Chen, Y., Clark, A. B., Lynn, H. S., Peng, W. X., Zhou, Y. B., Zhao, G. M. and Jiang, Q. W. (2008 b). Identifying high-risk regions for schistosomiasis in Guichi, China: A spatial analysis. Acta Tropica 107, 217–223.CrossRefGoogle Scholar
Zhang, Z. J., Ong, S. H., Peng, W. X., Zhou, Y. B., Zhuang, J. L., Zhao, G. M. and Jiang, Q. W. (2008 c). A model for the prediction of Oncomelania hupensis in the lake and marshland regions, China. Parasitology International 57, 121–131.CrossRefGoogle Scholar
Zhang, Z. Y., Xu, D. Z., Zhou, X. N., Zhou, Y. and Liu, S. J. (2005). Remote sensing and spatial statistical analysis to predict the distribution of Oncomelania hupensis in the marshlands of China. Acta Tropica 96, 205–212.CrossRefGoogle Scholar
Zhou, X. N., Malone, J. B., Kristensen, T. K. and Bergquist, N. R. (2001). Application of geographic information systems and remote sensing to schistosomiasis control in China. Acta Tropica 79, 97–106.CrossRefGoogle ScholarPubMed
Zhou, X. N., Wang, L. Y., Chen, M. G., Wu, X. H., Jiang, Q. W., Chen, X. Y., Zheng, J. and Utzinger, J. (2005). The public health significance and control of schistosomiasis in China – then and now. Acta Tropica 96, 97–105.CrossRefGoogle Scholar
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