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Int. J. Environ. Res. Public Health 2015, 12(12), 15182-15203; doi:10.3390/ijerph121214971

GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology

Department of Earth Sciences, University of Memphis, Memphis, TN 38152, USA
Academic Editors: Shlomit Paz and Paul B. Tchounwou
Received: 25 March 2015 / Revised: 9 September 2015 / Accepted: 21 October 2015 / Published: 1 December 2015
(This article belongs to the Special Issue Climate Change Impacts on Vector-borne Diseases)
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Given the relatively recent recognition of Lyme disease (LD) by CDC in 1990 as a nationally notifiable infectious condition, the rise of reported human cases every year argues for a better understanding of its geographic scope. The aim of this inquiry was to explore research conducted on spatiotemporal patterns of Lyme disease in order to identify strategies for implementing vector and reservoir-targeted interventions. The focus of this review is on the use of GIS-based methods to study populations of the reservoir hosts, vectors and humans in addition to the spatiotemporal interactions between these populations. New GIS-based studies are monitoring occurrence at the macro-level, and helping pinpoint areas of occurrence at the micro-level, where spread within populations of reservoir hosts, clusters of infected ticks and tick to human transmission may be better understood. View Full-Text
Keywords: Lyme disease; tick habitat; geographic distribution; risk modeling; spatiotemporal pattern Lyme disease; tick habitat; geographic distribution; risk modeling; spatiotemporal pattern

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ozdenerol, E. GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology. Int. J. Environ. Res. Public Health 2015, 12, 15182-15203.

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