Yingbo Dong, Long Wang, Kai Zhang, Haibin Zhang, Dawei Guo
{"title":"中国宠物犬特应性皮炎的患病率及其与环境因素的关系，以及特应性皮炎预测模型的建立。","authors":"Yingbo Dong, Long Wang, Kai Zhang, Haibin Zhang, Dawei Guo","doi":"10.3389/fvets.2024.1428805","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":12772,"journal":{"name":"Frontiers in Veterinary Science","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461458/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China.\",\"authors\":\"Yingbo Dong, Long Wang, Kai Zhang, Haibin Zhang, Dawei Guo\",\"doi\":\"10.3389/fvets.2024.1428805\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":12772,\"journal\":{\"name\":\"Frontiers in Veterinary Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461458/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Veterinary Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.3389/fvets.2024.1428805\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"VETERINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Veterinary Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3389/fvets.2024.1428805","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China.
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.
期刊介绍：
Frontiers in Veterinary Science is a global, peer-reviewed, Open Access journal that bridges animal and human health, brings a comparative approach to medical and surgical challenges, and advances innovative biotechnology and therapy.
Veterinary research today is interdisciplinary, collaborative, and socially relevant, transforming how we understand and investigate animal health and disease. Fundamental research in emerging infectious diseases, predictive genomics, stem cell therapy, and translational modelling is grounded within the integrative social context of public and environmental health, wildlife conservation, novel biomarkers, societal well-being, and cutting-edge clinical practice and specialization. Frontiers in Veterinary Science brings a 21st-century approach—networked, collaborative, and Open Access—to communicate this progress and innovation to both the specialist and to the wider audience of readers in the field.
Frontiers in Veterinary Science publishes articles on outstanding discoveries across a wide spectrum of translational, foundational, and clinical research. The journal''s mission is to bring all relevant veterinary sciences together on a single platform with the goal of improving animal and human health.
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