DocumentCode
576454
Title
Schistosomiasis risk assessment from space using high resolution Rapid Eye data
Author
Walz, Yvonne ; Wegmann, Martin ; Dech, Stefan
Author_Institution
Dept. of Remote Sensing, Univ. of Wuerzburg, Wurzburg, Germany
fYear
2012
fDate
22-27 July 2012
Firstpage
7224
Lastpage
7227
Abstract
This study presents a risk assessment of the schistosomiasis disease transmission for a study site in eastern Burkina Faso. Environmental parameters derived from high resolution Rapid Eye data and SRTM data are weighted and integrated into a suitability index using an additive priority function. The spatial risk assessment of schistosomiasis transmission is calculated based on the snail habitat suitability, human settlement density and the distance between settlements and potential transmission areas. The risk assessment on the local scale presents a heterogeneous pattern of disease transmission risk, which could guide public health workers to hotspots of disease transmission and apply prevention and intervention measures more efficient.
Keywords
diseases; health and safety; health care; remote sensing; risk management; SRTM data; additive priority function; disease transmission hotspot; disease transmission risk; eastern Burkina Faso; environmental parameter; high resolution Rapid Eye data; human settlement density; intervention measure; potential transmission area; prevention measure; public health workers; schistosomiasis disease transmission; schistosomiasis risk assessment; settlement distance; snail habitat suitability; space; spatial risk assessment; suitability index; Diseases; Humans; Indexes; Remote sensing; Risk management; Spatial resolution; Vegetation mapping; Rapid Eye; habitat suitability; human health; risk assessment; schistosomiasis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351995
Filename
6351995
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