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

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 spatiotempo...

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Autor principal: Ozdenerol, Esra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690907/
https://www.ncbi.nlm.nih.gov/pubmed/26633445
http://dx.doi.org/10.3390/ijerph121214971
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author Ozdenerol, Esra
author_facet Ozdenerol, Esra
author_sort Ozdenerol, Esra
collection PubMed
description 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.
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spelling pubmed-46909072016-01-06 GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology Ozdenerol, Esra Int J Environ Res Public Health Review 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. MDPI 2015-12-01 2015-12 /pmc/articles/PMC4690907/ /pubmed/26633445 http://dx.doi.org/10.3390/ijerph121214971 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ozdenerol, Esra
GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology
title GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology
title_full GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology
title_fullStr GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology
title_full_unstemmed GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology
title_short GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology
title_sort gis and remote sensing use in the exploration of lyme disease epidemiology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690907/
https://www.ncbi.nlm.nih.gov/pubmed/26633445
http://dx.doi.org/10.3390/ijerph121214971
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