Table 1.
Values used to calculate sample size in order to estimate farm-level prevalence.
Fig 1.
Conceptual diagram depicting the variables hypothesised to be associated with seropositivity in i) dairy farms ii) livestock and iii) persons in direct contact with livestock in the dairy farms.
Data on these variables was gathered in the questionnaires and used in the statistical analysis.
Table 2.
Farm-level univariate analysis for associations between farm demographics and at least one animal in the herd testing seropositive using logistic regression with village included as a random effect.
Table 3.
Herd-level univariate analysis for associations between herd management and at least one animal in the herd testing seropositive, using logistic regression with village included as a random effect.
Table 4.
Herd-level multivariate GLMM for associations between farm-level risk factors farms testing seropositive for Brucella spp. using logistic regression with village included as a random effect.
Table 5.
Individual livestock multivariate GLMM for associations between individual level variables and cattle testing seropositive using logistic regression with village and farm included as a random effect.
Table 6.
Comparison of IgG ELISA and RBT results in persons in direct contact with large ruminants.
Table 7.
SAT results of 57 persons in direct contact with large ruminants, classified as seropositive for Brucella spp.
Table 8.
Final multivariate model for all variables associated with Brucella seropositivity in people in direct contact with livestock, including farm status, using logistic regression with village included as a random effect.