Skip to main content
    • Aa
    • Aa
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 15
  • Cited by
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Gurarie, David Yoon, Nara Li, Emily Ndeffo-Mbah, Martial Durham, David Phillips, Anna E. Aurelio, H. Osvaldo Ferro, Josefo Galvani, Alison P. and King, Charles H. 2015. Modelling control of Schistosoma haematobium infection: predictions of the long-term impact of mass drug administration in Africa. Parasites & Vectors, Vol. 8, Issue. 1,

    Johansen, Maria Vang Lier, Tore and Sithithaworn, Paiboon 2015. Towards improved diagnosis of neglected zoonotic trematodes using a One Health approach. Acta Tropica, Vol. 141, p. 161.

    Mwinzi, Pauline N. M. Kittur, Nupur Ochola, Elizabeth Cooper, Philip J. Campbell, Carl H. King, Charles H. and Colley, Daniel G. 2015. Additional Evaluation of the Point-of-Contact Circulating Cathodic Antigen Assay for Schistosoma mansoni Infection. Frontiers in Public Health, Vol. 3,

    Wang, Shuo and Spear, Robert C. 2014. Exploring the impact of infection-induced immunity on the transmission of Schistosoma japonicum in hilly and mountainous environments in China. Acta Tropica, Vol. 133, p. 8.

    Xiao, Ning Remais, Justin V. Brindley, Paul J. Qiu, Dong-Chuan Carlton, Elizabeth J. Li, Rong-Zhi Lei, Yang and Blair, David 2013. Approaches to genotyping individual miracidia of Schistosoma japonicum. Parasitology Research, Vol. 112, Issue. 12, p. 3991.

    Lei, Jia-hui Guan, Fei Xu, Hong Chen, Lin Su, Bing-tao Zhou, Yan Wang, Ting Li, Yong-long and Liu, Wen-qi 2012. Application of an immunomagnetic bead ELISA based on IgY for detection of circulating antigen in urine of mice infected with Schistosoma japonicum. Veterinary Parasitology, Vol. 187, Issue. 1-2, p. 196.

    Lei, Jia-hui Liu, Wen-qi Sun, Cheng-song Tang, Chun-lian Li, Man-jun Chen, Yu-li and Li, Yong-long 2009. Detection of circulating antigen in serum of mice infected with Schistosoma japonicum by immunomagnetic bead ELISA based on IgY. Acta Tropica, Vol. 111, Issue. 1, p. 39.

    Zhang, Yuan-Yuan Luo, Jian-Ping Liu, Yue-Ming Wang, Qi-Zhi Chen, Jun-Hu Xu, Ming-Xing Xu, Jin-Mei Wu, Jing Tu, Xiao-Ming Wu, Guan-Ling Zhang, Zhao-Song and Wu, Hai-Wei 2009. Evaluation of Kato–Katz examination method in three areas with low-level endemicity of schistosomiasis japonica in China: A Bayesian modeling approach. Acta Tropica, Vol. 112, Issue. 1, p. 16.

    Leonardo, Lydia R. Rivera, Pilarita Saniel, Ofelia Villacorte, Elena Crisostomo, Bobby Hernandez, Leda Baquilod, Mario Erce, Edgardo Martinez, Ruth and Velayudhan, Raman 2008. Prevalence survey of schistosomiasis in Mindanao and the Visayas, The Philippines. Parasitology International, Vol. 57, Issue. 3, p. 246.

    Lin, Dan-Dan Liu, Jian-Xiang Liu, Yue-Min Hu, Fei Zhang, Yuan-Yuan Xu, Jin-Mei Li, Jian-Ying Ji, Min-Jun Bergquist, Robert Wu, Guan-Ling and Wu, Hai-Wei 2008. Routine Kato–Katz technique underestimates the prevalence of Schistosoma japonicum: A case study in an endemic area of the People's Republic of China. Parasitology International, Vol. 57, Issue. 3, p. 281.

    Zhou, Yi-Biao Yang, Mei-Xia Tao, Po Jiang, Qiu-Lin Zhao, Gen-Ming Wei, Jian-Guo and Jiang, Qing-Wu 2008. A longitudinal study of comparison of the Kato–Katz technique and indirect hemagglutination assay (IHA) for the detection of schistosomiasis japonica in China, 2001–2006. Acta Tropica, Vol. 107, Issue. 3, p. 251.

    Yu, J.M. de Vlas, S.J. Jiang, Q.W. and Gryseels, B. 2007. Comparison of the Kato-Katz technique, hatching test and indirect hemagglutination assay (IHA) for the diagnosis of Schistosoma japonicum infection in China. Parasitology International, Vol. 56, Issue. 1, p. 45.

    Gong, Peng Xu, Bing and Liang, Song 2006. Remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases. Science in China Series C: Life Sciences, Vol. 49, Issue. 6, p. 573.

    Tarafder, Mushfiqur R Balolong, Ernesto Carabin, Hélène Bélisle, Patrick Tallo, Veronica Joseph, Lawrence Alday, Portia Gonzales, Ryan O'Neil Riley, Steven Olveda, Remigio and McGarvey, Stephen T 2006. A cross-sectional study of the prevalence of intensity of infection with Schistosoma japonicumin 50 irrigated and rain-fed villages in Samar Province, the Philippines. BMC Public Health, Vol. 6, Issue. 1,

    Liang, Song Spear, Robert C. Seto, Edmund Hubbard, Alan and Qiu, Dongchuan 2005. A multi-group model of Schistosoma japonicum transmission dynamics and control: model calibration and control prediction. Tropical Medicine and International Health, Vol. 10, Issue. 3, p. 263.


Estimating the distribution of worm burden and egg excretion of Schistosoma japonicum by risk group in Sichuan Province, China

  • A. HUBBARD (a1), S. LIANG (a1) (a2), D. MASZLE (a1), D. QIU (a2), X. GU (a2) and R. C. SPEAR (a1)
  • DOI:
  • Published online: 01 January 2003

During autumn 2000 an extensive cross-sectional survey of the prevalence of Schistosomiasis japonicum was conducted among about 4000 villagers within 20 villages in the Anning River Valley located in the southwestern Sichuan Province. Two procedures were used to assess infection status, the Kato-Katz thick smear procedure and a miracidia hatch test. Whereas the Kato-Katz procedure provides information on both prevalence and intensity, the hatch test provides only prevalence data, albeit on a much larger volume of stool. In addition, we performed Kato-Katz smears for 15 consecutive samples on a subset of 15 individuals. The proportion of both hatch-test and Kato-Katz positive individuals in the larger cross-sectional survey was 25%. The goal of the study was to estimate both the egg and worm distributions among risk groups using both the hatch and Kato-Katz tests from the cross-sectional data and the repeated Kato-Katz smears from the longitudinal data sets. As a prelude to parameter estimation, individuals were classified into risk groups by natural village and occupation; the proportion of Kato-Katz positive subjects among the risk groups varied from 10% to 60%. We used the statistical model of de Vlas et al. (1992) and Bayesian techniques to derive both estimates of and inference about the worm and egg distribution parameters. The parameter estimates imply (1) similar eggs per gram stool (e.p.g.) per worm pair compared with earlier estimates, (2) a range of worm burdens among the risk groups and (3) estimates of risk heterogeneity within groups is sensitive to prior information on the within-person variability in egg excretion.

Corresponding author
Corresponding author: School of Public Health, 140 Warren Hall, University of California, Berkeley, CA 94720-7360, USA. Tel: +510 642 0761. Fax: +510 642 5815. E-mail:
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

  • ISSN: 0031-1820
  • EISSN: 1469-8161
  • URL: /core/journals/parasitology
Please enter your name
Please enter a valid email address
Who would you like to send this to? *