Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran
Submitted: 9 December 2014
Accepted: 9 December 2014
Published: 1 November 2014
Accepted: 9 December 2014
Abstract Views: 6845
PDF: 1290
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Lund University GIS Centre, Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Lund University GIS Centre, Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Lund University GIS Centre, Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Infectious and Tropical Diseases Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran, Islamic Republic of.
How to Cite
Rajabi, M., Mansourian, A., Pilesjö, P., & Bazmani, A. (2014). Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran. Geospatial Health, 9(1), 179–191. https://doi.org/10.4081/gh.2014.15
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