A Bayesian statistical model to predict stillbirth rate

The objective of this study was to build a predictive model of the stillbirth rate using field data that can be easily recorded on pig farms.

A high number of stillborn piglets has a negative impact on both production and animal welfare. It is a significant contributor to piglet mortality around farrowing and continues to rise with increasing prolificacy. The objective of this study was to build a predictive model of the stillbirth rate using field data that can be easily recorded on pig farms. This model highlights the impact of parity, previous prolificacy, and previous stillbirth rate on the probability of stillbirth.