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

International Journal of Environmental Research and Public Health

Esra Ozdenerol¹  Shlomit Paz¹ 

[1] Department of Earth Sciences, University of Memphis, Memphis, TN 38152, USA

关键词: Lyme disease;    tick habitat;    geographic distribution;    risk modeling;    spatiotemporal pattern;   

DOI  :  10.3390/ijerph121214971

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.