New research from  North Carolina State Veterinary Medicine  may help predict outbreaks of the deadly porcine epidemic diarrhea virus (PEDV) that causes high mortality rates in preweaned piglets. Researchers created an algorithm that could give signal to pig farms when PEDV is expected to hit. 
“Our end goal is to have near real-time risk predictions so that farmers and veterinarians can provide preventative care to high-risk areas and make decisions based on data,” says Gustavo Machado, assistant professor of population health and pathobiology at NC State.

The proof-of-concept algorithm has potential for use in real-time prediction of other disease outbreaks in food animals, researchers say.
Machado, corresponding author of a paper describing the work, developed a pipeline utilizing machine-learning techniques to create an algorithm capable of predicting PEDV outbreaks in space and time.