SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments
Submitted: 17 December 2014
Accepted: 17 December 2014
Published: 1 September 2012
Accepted: 17 December 2014
Abstract Views: 1901
PDF: 789
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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
Entomology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Entomology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Entomology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Entomology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Entomology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Entomology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Entomology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Entomology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
How to Cite
Foley, D. H., Wilkerson, R. C., Dornak, L. L., Pecor, D. B., Nyari, A. S., Rueda, L. M., Long, L. S., & Richardson, J. H. (2012). SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments. Geospatial Health, 6(3), S25-S30. https://doi.org/10.4081/gh.2012.119
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