A global map of dominant malaria vectors.
Ontology highlight
ABSTRACT: Background
Global maps, in particular those based on vector distributions, have long been used to help visualise the global extent of malaria. Few, however, have been created with the support of a comprehensive and extensive evidence-based approach.Methods
Here we describe the generation of a global map of the dominant vector species (DVS) of malaria that makes use of predicted distribution maps for individual species or species complexes.Results
Our global map highlights the spatial variability in the complexity of the vector situation. In Africa, An. gambiae, An. arabiensis and An. funestus are co-dominant across much of the continent, whereas in the Asian-Pacific region there is a highly complex situation with multi-species coexistence and variable species dominance.Conclusions
The competence of the mapping methodology to accurately portray DVS distributions is discussed. The comprehensive and contemporary database of species-specific spatial occurrence (currently available on request) will be made directly available via the Malaria Atlas Project (MAP) website from early 2012.
SUBMITTER: Sinka ME
PROVIDER: S-EPMC3349467 | biostudies-literature | 2012 Apr
REPOSITORIES: biostudies-literature
Publications
A global map of dominant malaria vectors.
Sinka Marianne E ME Bangs Michael J MJ Manguin Sylvie S Rubio-Palis Yasmin Y Chareonviriyaphap Theeraphap T Coetzee Maureen M Mbogo Charles M CM Hemingway Janet J Patil Anand P AP Temperley William H WH Gething Peter W PW Kabaria Caroline W CW Burkot Thomas R TR Harbach Ralph E RE Hay Simon I SI
Parasites & vectors 20120404
<h4>Background</h4>Global maps, in particular those based on vector distributions, have long been used to help visualise the global extent of malaria. Few, however, have been created with the support of a comprehensive and extensive evidence-based approach.<h4>Methods</h4>Here we describe the generation of a global map of the dominant vector species (DVS) of malaria that makes use of predicted distribution maps for individual species or species complexes.<h4>Results</h4>Our global map highlights ...[more]
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