Bayesian network and logistic regression analysis on clinical mastitis in dairy cows raised by small-holder farmers in western part of Thailand

Name: Wantida Horpiencharoen

LCSH: Kasetsart University -- Theses. M.S. (Veterinary Epidemiology) 2017

Classification :.LCCS: SF967.M3

LCSH: Kasetsart University. Department of Veterinary Public Health -- Theses

LCSH: Mastitis

LCSH: Cattle -- Diseases

LCSH: Bayesian statistical decision theory

LCSH: Logistic regression analysis

Abstract: The aim of this study was to identify the risk factors associated with causative pathogens, antimicrobial susceptibility and clinical signs of bovine mastitis using logistic regression and Bayesian network analysis. A structured questionnaire was used for data collection. For etiology findings, milk from cows with mastitis were sampled individually. One hundred forty-six samples were collected, for binary logistic regression (n = 116) and for Bayesian network analysis (n = 126). The common isolates were environmental mastitis pathogens (88.79%). In logistic regression, we found that cows stayed in a barn without bedding had a significantly higher risk (P < 0.05) for non – environmental mastitis infection (OR = 2.28; 95% CI =1.21 – 4.34) and the number of quarters that showed clinical signs of mastitis more than one quarter had a significantly lower risk (P < 0.05) for non – contagious mastitis infection (OR = 0.39, 95% CI = 0.17–0.90). In Bayesian network model, conditional probability results showed that the variables concrete and rubber floor, hand stripping residual milk after machine milking, and deep cleaning milking machine had the highest values effect to the occurrence probabilities of frequently isolated pathogens, which were Streptococcus spp. (8.73%; range, 7.86%–9.55%), Staphylococcus spp. (8.69%; range, 7.82%–9.50%), Enterococcus faecalis (7.37%; range, 6.76%–7.98%), and Streptococcus dysgalactiae (6.81%; range, 6.82%–7.42%). Conditional probability results indicated that these pathogens were most sensitive to enrofloxacin (89.55%), amoxicillin/clavulanic acid (78.43%), and sulfamethoxazole/trimethoprim (75.01%); and most (43.55%) pathogens were resistant to penicillin G. Implementing control measures based on these evidences would help farmers reduce the cost of mastitis prevention and control.

Kasetsart University. Office of the University Library

Address: Bangkok

Email: tdckulib@ku.ac.th

Name: Chaithep Poolkhet

Role: Thesis Advisor

Created: 2017

Modified: 2023-06-30

Issued: 2023-06-30

วิทยานิพนธ์/Thesis

application/pdf

URL: https://kasetsart.idm.oclc.org/login?url=https://www.lib.ku.ac.th/KUthesis/2560/wantida-hor-all.pdf

CallNumber: SF967.M3.W36

eng

DegreeName: Master of Science

Level: Master's Degree

Descipline: Veterinary Epidemiology

Grantor: Kasetsart University

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