Identifying high-risk regions for schistosomiasis in Guichi, China: A spatial analysis

Zhijie Zhang, Tim Carpenter, Yue Chen, Allan B. Clark, Henry S. Lynn, Wenxiang Peng, Yibiao Zhou, Genming Zhao, Qingwu Jiang

Research output: Contribution to journalArticle

32 Scopus citations

Abstract

Schistosomiasis epidemic is reemerging in some areas of China. The extensive snail habitat is a major challenge for a sustainable schistosomiasis control. Direct surveillance on snails for the disease control is no longer a desirable disease control approach due to current low density of infected snails and reduced funding. In this study the benefit of indirect monitoring of acute schistosomiasis cases, using spatial methods including disease mapping and spatial clustering analysis was explored in Guichi, China. Significant global clustering existed for acute cases and two statistically significant spatial clusters were detected, and subsequently validated by field surveys. Our study indicates that the application of geographic information system (GIS) and spatial methods are useful in the epidemiologic surveillance and risk assessment for acute schistosomiasis, providing an alternative approach with minimal funds required.

Original languageEnglish (US)
Pages (from-to)217-223
Number of pages7
JournalActa Tropica
Volume107
Issue number3
DOIs
StatePublished - Sep 1 2008

    Fingerprint

Keywords

  • China
  • Epidemiology
  • Schistosomiasis
  • Spatial analysis
  • Surveillance

ASJC Scopus subject areas

  • Parasitology
  • Infectious Diseases

Cite this

Zhang, Z., Carpenter, T., Chen, Y., Clark, A. B., Lynn, H. S., Peng, W., Zhou, Y., Zhao, G., & Jiang, Q. (2008). Identifying high-risk regions for schistosomiasis in Guichi, China: A spatial analysis. Acta Tropica, 107(3), 217-223. https://doi.org/10.1016/j.actatropica.2008.04.027