Modelling geographic variations in West Nile virus

被引:17
作者
Yiannakoulias, Nikolaos W.
Schopflocher, Donald P.
Svenson, Lawrence W.
机构
[1] Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E3, Canada
[2] Alberta Hlth & Wellnes, Publ Hlth Surveillance & Environm Hlth, Edmonton, AB, Canada
[3] Univ Alberta, Dept Publ Hlth Sci, Edmonton, AB T6G 2M7, Canada
[4] Univ Calgary, Dept Community Hlth Sci, Calgary, AB T2N 1N4, Canada
来源
CANADIAN JOURNAL OF PUBLIC HEALTH-REVUE CANADIENNE DE SANTE PUBLIQUE | 2006年 / 97卷 / 05期
关键词
D O I
10.1007/BF03405345
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: This paper applies a method for modelling the spatial variation of West Nile virus (WNv) in humans using bird, environmental and human testing data. Methods: We used data collected from 503 Alberta municipalities. In order to manage the effects of residual spatial autocorrelation, we used generalized linear mixed models (GLMM) to model the incidence of infection. Results: There were 275 confirmed cases of WNv in the 2003 calendar year in Alberta. Our spatial model indicates that living in the grasslands natural region and levels of human testing are significant positive predictors of WNv; living in an urban area is a significant negative predictor. Conclusion: Infected bird data contribute little to our model. The variability of West Nile virus incidence in Alberta may be partly confounded by the variations in the rate of testing in different parts of the province. However, variation in infection is also associated with known environmental risk factors. Our findings are consistent with existing knowledge of WNv in North America.
引用
收藏
页码:374 / 378
页数:5
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