Int. J. Environ. Res. Public Health 2014, 11(6), 6571-6585; doi:10.3390/ijerph110606571
Identifying Determinants of Oncomelania hupensis Habitats and Assessing the Effects of Environmental Control Strategies in the Plain Regions with the Waterway Network of China at the Microscale
Juan Qiu 1,2, Rendong Li 1,*
, Xingjian Xu 3, Chuanhua Yu 4
, Xin Xia 3, Xicheng Hong 3, Bianrong Chang 1,2, Fengjia Yi 1,2 and Yuanyuan Shi 1,2
, Xin Xia 3, Xicheng Hong 3, Bianrong Chang 1,2, Fengjia Yi 1,2 and Yuanyuan Shi 1,21
Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, Hubei Province, China
4
School of Public Health & Global Health Institute, Wuhan University, Wuhan 430072, Hubei Province, China
*
Author to whom correspondence should be addressed.
Received: 21 March 2014 / Revised: 4 June 2014 / Accepted: 5 June 2014 / Published: 23 June 2014
(This article belongs to the Special Issue Environmental Determinants of Infectious Disease Transmission)
Abstract
This study aims to identify the landscape ecological determinants related to Oncomelania hupensis distribution, map the potential high risk of O. hupensis habitats at the microscale, and assess the effects of two environmental control strategies. Sampling was performed on 242 snail sites and 726 non-snail sites throughout Qianjiang City, Hubei Province, China. An integrated approach of landscape pattern analysis coupled with multiple logistic regression modeling was applied to investigate the effects of environmental factors on snail habitats. The risk probability of snail habitats positively correlated with patch fractal dimension (FD), paddy farm land proportion, and wetness index but inversely correlated with categorized normalized difference vegetation index (NDVI) and elevation. These findings indicate that FD can identify irregular features (e.g., irrigation ditches) in plain regions and that a moderate NDVI increases the microscale risk probability. Basing on the observed determinants, we predicted a map showing high-risk areas of snail habitats and simulated the effects of conduit hardening and paddy farming land rotation to dry farming land. The two approaches were confirmed effective for snail control. These findings provide an empirical basis for health professionals in local schistosomiasis control stations to identify priority areas and promising environmental control strategies for snail control and prevention. View Full-TextKeywords:
Schistosoma japonicum; Oncomelania hupensis; landscape pattern analysis; environmental determinant; plain regions with waterway network; geographic information systems; microscale
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
Scifeed alert for new publications
Never miss any articles matching your research from any publisher- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Share & Cite This Article
MDPI and ACS Style
Qiu, J.; Li, R.; Xu, X.; Yu, C.; Xia, X.; Hong, X.; Chang, B.; Yi, F.; Shi, Y. Identifying Determinants of Oncomelania hupensis Habitats and Assessing the Effects of Environmental Control Strategies in the Plain Regions with the Waterway Network of China at the Microscale. Int. J. Environ. Res. Public Health 2014, 11, 6571-6585.
Related Articles
Article Metrics
Comments
[Return to top]
Int. J. Environ. Res. Public Health
EISSN 1660-4601
Published by MDPI AG, Basel, Switzerland
RSS
E-Mail Table of Contents Alert