Journal article
Global database of leishmaniasis occurrence locations, 1960-2012
DM Pigott, N Golding, JP Messina, KE Battle, KA Duda, Y Balard, P Bastien, F Pratlong, JS Brownstein, CC Freifeld, SR Mekaru, LC Madoff, DB George, MF Myers, SI Hay
Scientific Data | NATURE PORTFOLIO | Published : 2014
Abstract
The leishmaniases are neglected tropical diseases of significant public health importance. However, information on their global occurrence is disparate and sparse. This database represents an attempt to collate reported leishmaniasis occurrences from 1960 to 2012. Methodology for the collection of data from the literature, abstraction of case locations and data processing procedures are described here. In addition, strain archives and online data resources were accessed. A total of 12,563 spatially and temporally unique occurrences of both cutaneous and visceral leishmaniasis comprise the database, ranging in geographic scale from villages to states. These data can be used for a variety of m..
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Awarded by U.S. National Library of Medicine
Funding Acknowledgements
D.M.P. is funded by a Sir Richard Southwood Graduate Scholarship from the Department of Zoology at the University of Oxford. S.I.H. is funded by a Senior Research Fellowship from the Wellcome trust (095066) which also supports K.A.D. and K.E.B., N.G. is funded by a grant from the Bill & Melinda gates Foundation (#OPP1053338). J.P.M. is funded by, and S.I.H. acknowledges the support of, the International Research Consortium on Dengue Risk Assessment Management and Surveillance (IDAMS, European Commission 7th Framework Programme (#21803) http://www.idams.eu). Y.B., F.P. and P.B. acknowledge financial support by the French Institut de Veille Sanitaire (InVS). J.S.B., S.R.M. and C.F. acknowledge the funding from NIH National Library of Medicine (R01LM010812). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. S.I.H. had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.