Spatial and Temporal Emergence Pattern of Lyme Disease in Virginia

被引:21
|
作者
Li, Jie [1 ]
Kolivras, Korine N. [2 ]
Hong, Yili [1 ]
Duan, Yuanyuan [1 ]
Seukep, Sara E. [2 ]
Prisley, Stephen P. [3 ]
Campbell, James B. [2 ]
Gaines, David N. [4 ]
机构
[1] Virginia Tech, Dept Stat, Blacksburg, VA 24061 USA
[2] Virginia Tech, Dept Geog, Blacksburg, VA 24061 USA
[3] Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA 24061 USA
[4] Virginia Dept Hlth, Off Epidemiol, Richmond, VA USA
来源
基金
美国国家科学基金会;
关键词
GEOGRAPHIC INFORMATION-SYSTEMS; UNITED-STATES; SCAN; SURVEILLANCE; CLUSTERS; COUNTY; RISK;
D O I
10.4269/ajtmh.13-0733
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The emergence of infectious diseases over the past several decades has highlighted the need to better understand epidemics and prepare for the spread of diseases into new areas. As these diseases expand their geographic range, cases are recorded at different geographic locations over time, making the analysis and prediction of this expansion complicated. In this study, we analyze spatial patterns of the disease using a statistical smoothing analysis based on areal (census tract level) count data of Lyme disease cases in Virginia from 1998 to 2011. We also use space and space-time scan statistics to reveal the presence of clusters in the spatial and spatiotemporal distribution of Lyme disease. Our results confirm and quantify the continued emergence of Lyme disease to the south and west in states along the eastern coast of the United States. The results also highlight areas where education and surveillance needs are highest.
引用
收藏
页码:1166 / 1172
页数:7
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