Use of a multinomial logistic regression model to evaluate risk factors for porcine circovirus type 2 infection on pig farms in the Republic of Korea

초록

The current study identified risk factors associated with porcine circovirus type 2 (PCV2) infection on pig farms in the Republic of Korea using a multinomial logistic regression model to evaluate the PCV2 infection status of pigs at different growth stages. Compulsory disinfection of visitors (odds ratio [OR]: 0.019, 95% confidence interval [CI]: <0.001–0.378, p=0.0095), compulsory registration of visitors (OR: 0.002, 95% CI: <0.001–0.184, p=0.0070), regular blood testing (OR: 0.012, 95% CI: <0.001–0.157, p=0.0007), and running on-farm biosecurity learning programs for workers (OR: 0.156, 95% CI: 0.040 –0.604, p=0.0072 and OR: 0.201, 95% CI: 0.055–0.737, p=0.0155, respectively) were identified as factors which could reduce the risk of PCV2 infection. However, visitation by a regular veterinarian (OR: 32.733, 95% CI: 3.768–284.327, p=0.0016) was associated with PCV2 infection.

키워드

Porcine circovirus type 2; risk factor analysis; multinomial logistic regression model; biosecurity
제목
Use of a multinomial logistic regression model to evaluate risk factors for porcine circovirus type 2 infection on pig farms in the Republic of Korea
저자
김으뜸; 박선일
DOI
10.13041/jpvm.2017.41.3.129
발행일
2017-09
유형
Y
저널명
예방수의학회지
권
41
호
3
페이지
129 ~ 132