Author
Listed:
- Juan Qiu
(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
University of Chinese Academy of Sciences, Beijing 100049, China)
- Rendong Li
(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)
- Xingjian Xu
(Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, Hubei Province, China)
- Chuanhua Yu
(School of Public Health & Global Health Institute, Wuhan University, Wuhan 430072, Hubei Province, China)
- Xin Xia
(Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, Hubei Province, China)
- Xicheng Hong
(Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, Hubei Province, China)
- Bianrong Chang
(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
University of Chinese Academy of Sciences, Beijing 100049, China)
- Fengjia Yi
(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
University of Chinese Academy of Sciences, Beijing 100049, China)
- Yuanyuan Shi
(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
University of Chinese Academy of Sciences, Beijing 100049, China)
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.
Suggested Citation
Juan Qiu & Rendong Li & Xingjian Xu & Chuanhua Yu & Xin Xia & Xicheng Hong & Bianrong Chang & Fengjia Yi & Yuanyuan Shi, 2014.
"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,"
IJERPH, MDPI, vol. 11(6), pages 1-15, June.
Handle:
RePEc:gam:jijerp:v:11:y:2014:i:6:p:6571-6585:d:37387
Download full text from publisher
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Juan Qiu & Rendong Li & Ying Xiao & Jing Xia & Hong Zhu & Yingnan Niu & Duan Huang & Qihui Shao & Ying Cui & Yong Wang, 2019.
"Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China,"
IJERPH, MDPI, vol. 16(12), pages 1-11, June.
- Yuanyuan Shi & Juan Qiu & Rendong Li & Qiang Shen & Duan Huang, 2017.
"Identification of Potential High-Risk Habitats within the Transmission Reach of Oncomelania hupensis after Floods Based on SAR Techniques in a Plane Region in China,"
IJERPH, MDPI, vol. 14(9), pages 1-13, August.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:11:y:2014:i:6:p:6571-6585:d:37387. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.