elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook

Walz, Yvonne and Wegmann, Martin and Dech, Stefan and Raso, Giovanna and Utzinger, Jürg (2015) Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook. Parasites and Vectors, 8 (1), pp. 1-16. Springer. DOI: 10.1186/s13071-015-0732-6 ISSN 1756-3305

[img] PDF
716kB

Official URL: http://parasitesandvectors.biomedcentral.com/articles/10.1186/s13071-015-0732-6

Abstract

Background: Schistosomiasis is a water-based disease that affects an estimated 250 million people, mainly in sub-Saharan Africa. The transmission of schistosomiasis is spatially and temporally restricted to freshwater bodies that contain schistosome cercariae released from specific snails that act as intermediate hosts. Our objective was to assess the contribution of remote sensing applications and to identify remaining challenges in its optimal application for schistosomiasis risk profiling in order to support public health authorities to better target control interventions. Methods: We reviewed the literature (i) to deepen our understanding of the ecology and the epidemiology of schistosomiasis, placing particular emphasis on remote sensing; and (ii) to fill an identified gap, namely interdisciplinary research that bridges different strands of scientific inquiry to enhance spatially explicit risk profiling. As a first step, we reviewed key factors that govern schistosomiasis risk. Secondly, we examined remote sensing data and variables that have been used for risk profiling of schistosomiasis. Thirdly, the linkage between the ecological consequence of environmental conditions and the respective measure of remote sensing data were synthesised. Results: We found that the potential of remote sensing data for spatial risk profiling of schistosomiasis is – in principle – far greater than explored thus far. Importantly though, the application of remote sensing data requires a tailored approach that must be optimised by selecting specific remote sensing variables, considering the appropriate scale of observation and modelling within ecozones. Interestingly, prior studies that linked prevalence of Schistosoma infection to remotely sensed data did not reflect that there is a spatial gap between the parasite and intermediate host snail habitats where disease transmission occurs, and the location (community or school) where prevalence measures are usually derived from. Conclusions: Our findings imply that the potential of remote sensing data for risk profiling of schistosomiasis and other neglected tropical diseases has yet to be fully exploited.

Item URL in elib:https://elib.dlr.de/104485/
Document Type:Article
Title:Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Walz, YvonneUNSPECIFIEDUNSPECIFIED
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Dech, StefanStefan.Dech (at) dlr.deUNSPECIFIED
Raso, GiovannaUNSPECIFIEDUNSPECIFIED
Utzinger, JürgUNSPECIFIEDUNSPECIFIED
Date:17 March 2015
Journal or Publication Title:Parasites and Vectors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
DOI :10.1186/s13071-015-0732-6
Page Range:pp. 1-16
Publisher:Springer
ISSN:1756-3305
Status:Published
Keywords:Ecology, Epidemiology, Geographical information system, Intermediate host snail, Remote sensing, Risk profiling, Scale, Schistosomiasis, Spatial modelling
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Wöhrl, Monika
Deposited On:28 Jun 2016 11:12
Last Modified:08 Mar 2018 18:39

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.