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ORIGINAL RESEARCH article

Front. Vet. Sci.
Sec. Zoological Medicine
Volume 11 - 2024 | doi: 10.3389/fvets.2024.1428805

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

Provisionally accepted
Yingbo Dong Yingbo Dong 1*Long Wang Long Wang 1*Kai Zhang Kai Zhang 2Haibin Zhang Haibin Zhang 1Dawei Guo Dawei Guo 1*
  • 1 Nanjing Agricultural University, Nanjing, China
  • 2 First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China

The final, formatted version of the article will be published soon.

    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 autoregressive 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.

    Keywords: Canine atopic dermatitis, Climatic factor, Regional factors, Model prediction, Prevention of disease

    Received: 07 May 2024; Accepted: 03 Sep 2024.

    Copyright: © 2024 Dong, Wang, Zhang, Zhang and Guo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yingbo Dong, Nanjing Agricultural University, Nanjing, China
    Long Wang, Nanjing Agricultural University, Nanjing, China
    Dawei Guo, Nanjing Agricultural University, Nanjing, China

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