Spatial epidemiology of eastern equine encephalitis in Florida

被引:23
作者
Vander Kelen, Patrick T. [1 ]
Downs, Joni A. [2 ]
Stark, Lillian M. [3 ]
Loraamm, Rebecca W. [2 ]
Anderson, James H. [2 ]
Unnasch, Thomas R. [1 ]
机构
[1] Univ S Florida, Global Hlth Infect Dis Res Program, Tampa, FL 33612 USA
[2] Univ S Florida, Dept Geog Environm & Planning, Tampa, FL 33620 USA
[3] Bur Labs Tampa, Florida Dept Hlth, Tampa, FL 33612 USA
来源
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS | 2012年 / 11卷
关键词
Eastern equine encephalitis; GIS; Spatial epidemiology; Compositional analysis; Euclidean distance; WEST-NILE-VIRUS; HABITAT USE; HOME-RANGE; ENCEPHALOMYELITIS VIRUS; RISK; TRANSMISSION; OUTBREAK; AMPLIFICATION; ASSOCIATION; LANDSCAPES;
D O I
10.1186/1476-072X-11-47
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Eastern Equine Encephalitis virus (EEEV) is an alphavirus with high pathogenicity in both humans and horses. Florida continues to have the highest occurrence of human cases in the USA, with four fatalities recorded in 2010. Unlike other states, Florida supports year-round EEEV transmission. This research uses GIS to examine spatial patterns of documented horse cases during 2005-2010 in order to understand the relationships between habitat and transmission intensity of EEEV in Florida. Methods: Cumulative incidence rates of EEE in horses were calculated for each county. Two cluster analyses were performed using density-based spatial clustering of applications with noise (DBSCAN). The first analysis was based on regional clustering while the second focused on local clustering. Ecological associations of EEEV were examined using compositional analysis and Euclidean distance analysis to determine if the proportion or proximity of certain habitats played a role in transmission. Results: The DBSCAN algorithm identified five distinct regional spatial clusters that contained 360 of the 438 horse cases. The local clustering resulted in 18 separate clusters containing 105 of the 438 cases. Both the compositional analysis and Euclidean distance analysis indicated that the top five habitats positively associated with horse cases were rural residential areas, crop and pastureland, upland hardwood forests, vegetated non-forested wetlands, and tree plantations. Conclusions: This study demonstrates that in Florida tree plantations are a focus for epizootic transmission of EEEV. It appears both the abundance and proximity of tree plantations are factors associated with increased risk of EEE in horses and therefore humans. This association helps to explain why there is are spatially distinct differences in the amount of EEE horse cases across Florida.
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页数:10
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