Novel machine-learning tool can predict PRRSV outbreaks and biosecurity effectiveness
In spite of advanced biosecurity protocols, the porcine reproductive and respiratory syndrome virus (PRRSV) continues to plague global pork producers with unpredictable, seasonal outbreaks. In the US, it ranks as the pork industry’s most costly disease at $1 billion annually. But imagine the improved outcome if a pig production company, producer or veterinarian could predict a PRRSV outbreak along with the key and ranked biosecurity measures to reduce the risk.