Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Samir Bhatt
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Nick Golding
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Kirsten A Duda
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Katherine E Battle
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Oliver J Brady
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Jane P Messina
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Yves Balard
Laboratoire de Parasitologie–Mycologie, UFR Médecine, Université Montpellier 1 and UMR ‘MiVEGEC’, CNRS 5290/IRD 224, Montpellier, France
Patrick Bastien
Laboratoire de Parasitologie–Mycologie, UFR Médecine, Université Montpellier 1 and UMR ‘MiVEGEC’, CNRS 5290/IRD 224, Montpellier, France; Departement de Parasitologie–Mycologie, CHRU de Montpellier, Centre National de Référence des Leishmanioses, Montpellier, France
Francine Pratlong
Laboratoire de Parasitologie–Mycologie, UFR Médecine, Université Montpellier 1 and UMR ‘MiVEGEC’, CNRS 5290/IRD 224, Montpellier, France; Departement de Parasitologie–Mycologie, CHRU de Montpellier, Centre National de Référence des Leishmanioses, Montpellier, France
John S Brownstein
Department of Pediatrics, Harvard Medical School, Boston, United States; Children's Hospital Informatics Program, Boston Children's Hospital, Boston, United States
Clark C Freifeld
Children's Hospital Informatics Program, Boston Children's Hospital, Boston, United States; Department of Biomedical Engineering, Boston University, Boston, United States
Sumiko R Mekaru
Children's Hospital Informatics Program, Boston Children's Hospital, Boston, United States
Peter W Gething
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Dylan B George
Fogarty International Center, National Institutes of Health, Bethesda, United States
Monica F Myers
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
Richard Reithinger
Global Health Group, RTI International, Washington DC, United States
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom; Fogarty International Center, National Institutes of Health, Bethesda, United States
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.