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中国宠物犬特应性皮炎的患病率、与环境因素的关联及预测模型的建立

Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China.

作者信息

Dong Yingbo, Wang Long, Zhang Kai, Zhang Haibin, Guo Dawei

机构信息

MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.

Engineering Center of Innovative Veterinary Drugs, Center for Veterinary Drug Research and Evaluation, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.

出版信息

Front Vet Sci. 2024 Sep 25;11:1428805. doi: 10.3389/fvets.2024.1428805. eCollection 2024.

Abstract

Canine atopic dermatitis (CAD) is a common skin disease in dogs. Various pathogenic factors contribute to CAD, with dust mites, environmental pathogens, and other substances being predominant. This research involved comprehensive statistical analysis and prediction of CAD in China, using data from 14 cities. A distributed lag nonlinear model (DLNM) was developed to evaluate the impact of environmental factors on CAD incidence. Additionally, a seasonal auto-regressive moving average (ARIMA) model was used to forecast the monthly number of CAD cases. The findings indicated that CAD mainly occurs during June, July, August, and September in China. There was a positive correlation found between CAD incidence and temperature and humidity, while a negative correlation was observed with CO, PM2.5, and other pollutants.

摘要

犬特应性皮炎(CAD)是犬类常见的皮肤病。多种致病因素导致CAD,其中尘螨、环境病原体和其他物质最为主要。本研究利用来自中国14个城市的数据,对CAD进行了全面的统计分析和预测。开发了一种分布滞后非线性模型(DLNM)来评估环境因素对CAD发病率的影响。此外,还使用了季节性自回归移动平均(ARIMA)模型来预测每月CAD病例数。研究结果表明,CAD在中国主要发生在6月、7月、8月和9月。发现CAD发病率与温度和湿度呈正相关,而与一氧化碳、细颗粒物(PM2.5)和其他污染物呈负相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11461458/83325d706748/fvets-11-1428805-g001.jpg

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