GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology
Identifieur interne : 000043 ( Main/Merge ); précédent : 000042; suivant : 000044GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology
Auteurs : Esra OzdenerolSource :
- International Journal of Environmental Research and Public Health [ 1661-7827 ] ; 2015.
Abstract
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.
Url:
DOI: 10.3390/ijerph121214971
PubMed: 26633445
PubMed Central: 4690907
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 000038
- to stream Pmc, to step Curation: 000038
- to stream Pmc, to step Checkpoint: 000036
- to stream Ncbi, to step Merge: 000298
- to stream Ncbi, to step Curation: 000298
- to stream Ncbi, to step Checkpoint: 000298
Links to Exploration step
PMC:4690907Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>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.</p>
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