Document Detail


Further shrinking the malaria map: how can geospatial science help to achieve malaria elimination?
MedLine Citation:
PMID:  23886334     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Malaria is one of the biggest contributors to deaths caused by infectious disease. More than 30 countries have planned or started programmes to target malaria elimination, often with explicit support from international donors. The spatial distribution of malaria, at all levels of endemicity, is heterogeneous. Moreover, populations living in low-endemic settings where elimination efforts might be targeted are often spatially heterogeneous. Geospatial methods, therefore, can help design, target, monitor, and assess malaria elimination programmes. Rapid advances in technology and analytical methods have allowed the spatial prediction of malaria risk and the development of spatial decision support systems, which can enhance elimination programmes by enabling accurate and timely resource allocation. However, no framework exists for assessment of geospatial instruments. Research is needed to identify measurable indicators of elimination progress and to quantify the effect of geospatial methods in achievement of elimination outcomes.
Authors:
Archie C A Clements; Heidi L Reid; Gerard C Kelly; Simon I Hay
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Review    
Journal Detail:
Title:  The Lancet. Infectious diseases     Volume:  13     ISSN:  1474-4457     ISO Abbreviation:  Lancet Infect Dis     Publication Date:  2013 Aug 
Date Detail:
Created Date:  2013-07-26     Completed Date:  2013-11-06     Revised Date:  2014-08-15    
Medline Journal Info:
Nlm Unique ID:  101130150     Medline TA:  Lancet Infect Dis     Country:  United States    
Other Details:
Languages:  eng     Pagination:  709-18     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 Elsevier Ltd. All rights reserved.
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MeSH Terms
Descriptor/Qualifier:
Decision Support Techniques
Disease Eradication*
Geographic Information Systems*
Geographic Mapping
Humans
Malaria / drug therapy,  prevention & control*
Resource Allocation
Spatio-Temporal Analysis
Grant Support
ID/Acronym/Agency:
095066//Wellcome Trust

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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