10.5061/DRYAD.05F5H
Pigott, David M.
University of Oxford
Bhatt, Samir
University of Oxford
Golding, Nick
University of Oxford
Duda, Kirsten A.
University of Oxford
Battle, Katherine E.
University of Oxford
Brady, Oliver J.
University of Oxford
Messina, Jane P.
University of Oxford
Balard, Yves
French National Centre for Scientific Research
Bastien, Patrick
French National Centre for Scientific Research
Pratlong, Francine
French National Centre for Scientific Research
Brownstein, John S.
Children's Hospital
Freifeld, Clark C
Boston University
Mekaru, Sumiko R.
Children's Hospital
Gething, Peter W.
University of Oxford
George, Dylan B.
National Institutes of Health
Myers, Monica F.
University of Oxford
Reithinger, Richard
RTI International
Hay, Simon I.
National Institutes of Health
Data from: Global distribution maps of the Leishmaniases
Dryad
dataset
2015
Leishmania braziliensis
Leishmania infantum
Disease mapping
Leishmania venezuelensis
Niche based modelling
Leishmania donovani
Population at risk
Leishmania mexicana
Cutaneous leishmaniasis
Leishmania panamensis
Leishmania peruviana
Visceral leishmaniasis
Leishmania
Leishmania aethiopica
Leishmania tropica
Leishmania guyanensis
Holocene
Leishmania amazonensis
Leishmania major
2015-06-27T00:00:00Z
2015-06-27T00:00:00Z
en
https://doi.org/10.7554/eLife.02851
1708330 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
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.
Global Evidence Consensus for Visceral LeishmanisisA survey of the
evidence for the presence or absence of visceral leishmaniasis in each
province/state in the world (Admin 1)Evidence Consensus for Visceral
Leishmanisis 0321.docxGlobal Evidence Consensus for Cutaneous
LeishmaniasisA survey of the evidence for the presence or absence of
cutaneous leishmaniasis in each province/state in the world (Admin
1)Evidence Consensus for Cutaneous Leishmaniasis 0321.docxDatabase of
cutaneous leishmaniasis occurrencesA database containing cutaneous
leishmaniasis occurrences used in the boosted regression trees
analysisCL_final_dataset.xlsxDatabase of visceral leishmaniasis
occurrencesA database containing visceral leishmaniasis occurrences used
in the boosted regression trees analysisVL_final_dataset.xlsxPopulations
living in areas of environmental risk of LeishmaniasisThese data tables
reported the estimated populations living in areas of environmental risk
of cutaneous leishmaniasis (CL) or visceral leishmaniasis (VL). For a full
methodology and indications of geographic range of these populations,
please consult the full publication that this dataset is associated with:
Pigott et al. (2014) “Global distribution maps of the
leishmaniases”Populations_at_risk_CLVL.docx
Global