Journal
ELIFE
Volume 3, Issue -, Pages -Publisher
eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.02851
Keywords
cutaneous leishmaniasis; visceral leishmaniasis; niche based modelling; boosted regression trees; species distribution modelling; disease mapping
Categories
Funding
- Richard Southwood Graduate Scholarship from the Department of Zoology at the University of Oxford
- Senior Research Fellowship from the Wellcome Trust [095066]
- Bill & Melinda Gates Foundation [OPP1053338, OPP1068048]
- Medical Research Council (UK) Career Development [K00669X]
- BBSRC studentship
- International Research Consortium on Dengue Risk Assessment Management and Surveillance (IDAMS, European Commission 7th Framework Programme) [21803]
- NIH National Library of Medicine [R01LM010812]
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The leishmaniases are vector-borne diseases that have a broad global distribution throughout much of the Americas, Africa and Asia. Despite representing a significant public health burden, our understanding of the global distribution of the leishmaniases remains vague, reliant upon expert opinion and limited to poor spatial resolution. A global assessment of the consensus of evidence for leishmaniasis was performed at a sub-national level by aggregating information from a variety of sources. A database of records of cutaneous and visceral leishmaniasis occurrence was compiled from published literature, online reports, strain archives and GenBank accessions. These, with a suite of biologically relevant environmental covariates, were used in a boosted regression tree modelling framework to generate global environmental risk maps for the leishmaniases. These high-resolution evidence-based maps can help direct future surveillance activities, identify areas to target for disease control and inform future burden estimation efforts.
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