Every sample was considered as an individual event. Descriptive analysis was conducted with the central tendency, and dispersion statistics and pathogen-specific and diarrhea prevalence were calculated. Odds ratio (OR) and confidence interval (CI 95%) were calculated to estimate if there was a relationship between RVA and CoV shedding and the housing system. Fisher’s exact test and Pearson Chi-squared (χ2) test were used to establishing the degree of association. Geometric mean IgG1 antibody (Ab) titers (GMTs) to RVA and CoV determined by ELISA were log10-transformed before the statistical analysis. The IgG1 Ab titers to RVA and CoV were analyzed by a general linear mixed statistical model (GLMM) using the glm function (Epicalc packages 2.15.1.0) where the best-fit model was the one with the smallest Akaike information criterion (AIC), and the analysis was performed with RStudio 1.2.1335 (Bok et al. 2017). Statistical differences between the area under the curve (AUC) of diarrhea were calculated with the receiver operator characteristic (ROC) curve with the software Prism 5 version 5.01. Statistical significance was assessed at p < 0.05 for all comparisons.

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