Epidemiology of pseudorabies in intensive pig farms in Shanghai, China: Herd-level prevalence and risk factors
| Autor: | Yaxian Yan, Sufang Shen, Hongjin Zhao, Peihong Liu, Zhu Jiuchao, Jianhe Sun, Chen Qi, Ricardo J. Soares Magalhães, Quanyun Sun, Luming Xia, Quzhi Wang, Chaojian Shen, Jingjing Wang, Baolong Li, Yiping Tu, Jun Tao, Chang Cai |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Veterinary medicine China 040301 veterinary sciences Cross-sectional study Swine animal diseases Pseudorabies Disease Logistic regression 0403 veterinary science 03 medical and health sciences Food Animals Risk Factors Epidemiology medicine Prevalence Animals Animal Husbandry Pig farms Swine Diseases biology 04 agricultural and veterinary sciences biology.organism_classification 030104 developmental biology Cross-Sectional Studies Herd Enzootic Animal Science and Zoology Female |
| Zdroj: | Preventive veterinary medicine. 159 |
| ISSN: | 1873-1716 |
| Popis: | Pseudorabies (PR), also known as Aujeszky's disease, is a highly contagious disease affecting pigs and a wide range of animals. Pseudorabies is enzootic in many countries. In China, it is a priority animal disease for control and eradication, however the data on disease frequency in intensive pig farms and the information on associated risk factors is inadequate. A cross-sectional study of intensive pig farms (≥350 sows) in Shanghai was conducted to determine herd-level prevalence of PRV and associated risk factors. Following a two-stage random sampling design, a total of 1349 sow serum samples were tested by gpI-ELISA from a total of 91 intensive pig farms in Shanghai. A herd was classified as positive if at least one PRV test-positive sow was present. Information on putative risk/protective factors was collected using questionnaires to pig farm owners or veterinarians. A logistic regression model was built to identify risk/protective factors for herd positivity. The results indicated that the herd-level true prevalence was 67.6% (95% CI：57.0–77.0). In the multivariable logistic regression model using backward stepwise procedure, two risk factors were found to be significantly associated with herd positivity: ‘Breeding with introduced sows in the last 12 months’ (OR = 3.5, 95%CI:1.2, 10.3) and ‘Presence of stray dogs or cats’ (OR = 4.0, 95%CI: 1.2, 12.6). The multivariable logistic model fitted the data well. Hosmer-Lemeshow goodness of fit test showed χ2 = 10.86 (df = 8, p = 0.21 > 0.05) and the predictability (area under the ROC curve) was 0.86. This study suggested that PR was highly endemic in intensive pig farms in Shanghai. The risk and protective factors identified in this study could be useful to improve the prevention policy of PR in Shanghai and other areas of China. |
| Databáze: | OpenAIRE |
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