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 1...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-09-01
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| Series: | Frontiers in Veterinary Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fvets.2024.1428805/full |
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| author | Yingbo Dong Yingbo Dong Yingbo Dong Long Wang Long Wang Kai Zhang Haibin Zhang Dawei Guo Dawei Guo |
| author_facet | Yingbo Dong Yingbo Dong Yingbo Dong Long Wang Long Wang Kai Zhang Haibin Zhang Dawei Guo Dawei Guo |
| author_sort | Yingbo Dong |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0c36de7fcdcb428faaf0898ff3af2cc2 |
| institution | OA Journals |
| issn | 2297-1769 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Veterinary Science |
| spelling | doaj-art-0c36de7fcdcb428faaf0898ff3af2cc22025-08-20T01:54:46ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692024-09-011110.3389/fvets.2024.14288051428805Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in ChinaYingbo Dong0Yingbo Dong1Yingbo Dong2Long Wang3Long Wang4Kai Zhang5Haibin Zhang6Dawei Guo7Dawei Guo8MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, ChinaEngineering Center of Innovative Veterinary Drugs, Center for Veterinary Drug Research and Evaluation, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, ChinaNew Ruipeng Pet Healthcare Group Co., Ltd., Nanjing, ChinaMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, ChinaEngineering Center of Innovative Veterinary Drugs, Center for Veterinary Drug Research and Evaluation, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, ChinaPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, ChinaMOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, ChinaEngineering Center of Innovative Veterinary Drugs, Center for Veterinary Drug Research and Evaluation, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, ChinaCanine 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.https://www.frontiersin.org/articles/10.3389/fvets.2024.1428805/fullcanine atopic dermatitisclimatic factorregional factorsmodel predictionprevention of disease |
| spellingShingle | Yingbo Dong Yingbo Dong Yingbo Dong Long Wang Long Wang Kai Zhang Haibin Zhang Dawei Guo Dawei Guo Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China Frontiers in Veterinary Science canine atopic dermatitis climatic factor regional factors model prediction prevention of disease |
| title | Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China |
| title_full | Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China |
| title_fullStr | Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China |
| title_full_unstemmed | Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China |
| title_short | Prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in China |
| title_sort | prevalence and association with environmental factors and establishment of prediction model of atopic dermatitis in pet dogs in china |
| topic | canine atopic dermatitis climatic factor regional factors model prediction prevention of disease |
| url | https://www.frontiersin.org/articles/10.3389/fvets.2024.1428805/full |
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