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瑞典参保犬群中特应性皮炎病例的空间分布。

The spatial distribution of atopic dermatitis cases in a population of insured Swedish dogs.

作者信息

Nødtvedt Ane, Guitian Javier, Egenvall Agneta, Emanuelson Ulf, Pfeiffer Dirk U

机构信息

Department of Small Animal Clinical Sciences, Swedish University of Agricultural Sciences, P.O. Box 7037, 750 07 Uppsala, Sweden.

出版信息

Prev Vet Med. 2007 Mar 17;78(3-4):210-22. doi: 10.1016/j.prevetmed.2006.10.007. Epub 2006 Nov 16.

Abstract

Canine atopic dermatitis (CAD) is manifested by pruritus and inflammation of the skin, and most affected dogs have specific IgE against environmental allergens. Our aim was to evaluate whether in Sweden the incidence of CAD varies spatially, and to investigate possible environmental causes of such variation in a longitudinal study of CAD incidence among insured Swedish dogs. The dataset consisted of >220,000 individuals which had been covered by an insurance plan between January 1, 1995 and December 31, 2002. Out of these, 1235 CAD cases were identified and matched to postal-code areas based upon the address of the owner. Environmental risk factors we considered included averages of long-term annual rainfall, and of January and July temperatures. Initial visualization of the incidence rate of CAD (cases/dog-years at risk) expressed as empirical Bayes smoothed spatial rates indicated geographic variation. Moran's I, adjusted for population at risk, revealed significant global clustering. Both the spatial scan statistic and a local indicator of spatial autocorrelation revealed a higher incidence of CAD in the major cities. In a Poisson-regression model (with a spatial covariance structure), the incidence of CAD increased with increasing human population density, increasing average annual rainfall, living in the southern half of Sweden, and having a veterinary dermatologist in the county.

摘要

犬特应性皮炎(CAD)表现为皮肤瘙痒和炎症,大多数患病犬对环境过敏原具有特异性IgE。我们的目的是评估在瑞典CAD的发病率是否存在空间差异,并在一项针对瑞典参保犬CAD发病率的纵向研究中调查这种差异可能的环境原因。数据集包含1995年1月1日至2002年12月31日期间参加保险计划的超过220,000只犬。其中,识别出1235例CAD病例,并根据主人地址将其与邮政编码区域进行匹配。我们考虑的环境风险因素包括长期年平均降雨量以及1月和7月的平均气温。以经验贝叶斯平滑空间率表示的CAD发病率(病例数/风险犬年)的初步可视化显示出地理差异。经风险人群调整后的莫兰指数(Moran's I)显示出显著的全局聚集性。空间扫描统计量和局部空间自相关指标均显示大城市中CAD的发病率较高。在一个泊松回归模型(具有空间协方差结构)中,CAD的发病率随着人口密度增加、年平均降雨量增加、生活在瑞典南部以及所在县有兽医皮肤科医生而升高。

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