Prof Mark Danson F.M.Danson@salford.ac.uk
Landscape dynamics and risk modeling of human alveolar echinococcosis
Danson, FM; Craig, PS; Man, W; Shi, DZ; Giraudoux, P
Authors
PS Craig
W Man
DZ Shi
P Giraudoux
Abstract
Human alveolar echinococcosis (AE) is a rare but fatal liver disease caused by a parasitic tapeworm. Between 1994 and 1997 a medical survey in a rural area in central China revealed the highest incidence rate of the disease recorded in the world to date, with 15.8 percent of the population infected in one village. Hypotheses on the nature of the transmission mechanisms from the natural to human environment focused on the effects of recent landscape change from forest to agricultural land. Archived Landsat MSS and TM data were used to examine relationships between landscape and human AE prevalence in 31 villages. The results showed a significant positive correlation between AE and the proximity of villages to forest, grassland, and shrubland vegetation, and a negative correlation with the area of cultivated land. A predictive model, based on spatial characteristics of the landscape, is now being developed with the aim of designing management tools for disease control.
Citation
Danson, F., Craig, P., Man, W., Shi, D., & Giraudoux, P. (2004). Landscape dynamics and risk modeling of human alveolar echinococcosis. Photogrammetric engineering and remote sensing, 70(3), 359-366. https://doi.org/10.1017/S0031182003003639
Journal Article Type | Article |
---|---|
Publication Date | Mar 1, 2004 |
Deposit Date | Sep 21, 2007 |
Journal | Photogrammetric Engineering and Remote Sensing |
Print ISSN | 0099-1112 |
Peer Reviewed | Peer Reviewed |
Volume | 70 |
Issue | 3 |
Pages | 359-366 |
DOI | https://doi.org/10.1017/S0031182003003639 |
You might also like
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research
(2024)
Journal Article
Stage 1 Validation of Plant Area Index from the Global Ecosystem Dynamics Investigation
(2023)
Journal Article
The terrestrial laser scanning revolution in forest ecology
(2018)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search