edoc

Landscape pattern analysis and Bayesian modeling for predicting Oncomelania hupensis distribution in Eryuan County, People's Republic of China

Yang, Kun and Zhou, Xiao-Nong and Wu, Xiao-Hua and Steinmann, Peter and Wang, Xian-Hong and Yang, Guo-Jing and Utzinger, Jürg and Li, Hong-Jun. (2009) Landscape pattern analysis and Bayesian modeling for predicting Oncomelania hupensis distribution in Eryuan County, People's Republic of China. American journal of tropical medicine and hygiene, Vol. 81, H. 3. pp. 416-423.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A5843252

Downloads: Statistics Overview

Abstract

Detailed knowledge of how local landscape patterns influence the distribution of Oncomelania hupensis, the intermediate host snail of Schistosoma japonicum, might facilitate more effective schistosomiasis control. We selected 12 villages in a mountainous area of Eryuan County, Yunnan Province, People's Republic of China, and developed Bayesian geostatistical models to explore heterogeneities of landscape composition in relation to distribution of O. hupensis. The best-fitting spatio-temporal model indicated that the snail density was significantly correlated with environmental factors. Specifically, snail density was positively correlated with wetness and inversely correlated with the normalized difference vegetation index and mollusciciding, and snail density decreased as landscape patterns became more uniform. However, the distribution of infected snails was not significantly correlated with any of the investigated environmental factors and landscape metrics. Our enhanced understanding of O. hupensis ecology is important for spatial targeting of schistosomiasis control interventions
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Eco System Health Sciences > Health Impact Assessment (Utzinger)
UniBasel Contributors:Utzinger, Jürg and Steinmann, Peter
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Williams and Wilkins
ISSN:0002-9637
Note:Publication type according to Uni Basel Research Database: Journal article
Related URLs:
Identification Number:
Last Modified:04 Sep 2015 14:31
Deposited On:14 Sep 2012 06:46

Repository Staff Only: item control page