Forecasting herd-level porcine epidemic diarrhea (PED) frequency trends in Ontario (Canada).

ABSTRACT: Porcine Epidemic Diarrhea Virus (PEDV) emerged in North America in 2013. The first case of PEDV in Canada was identified on an Ontario farm in January 2014. Surveillance was instrumental in identifying the initial case and in minimizing the spread of the virus to other farms. With recent advances in predictive analytics showing promise for health and disease forecasting, the primary objective of this study was to apply machine learning predictive methods (random forest, artificial neural networks, and classification and regression trees) to provincial PEDV incidence data, and in so doing determine their accuracy for predicting future PEDV trends. Trend was defined as the cumulative number of new cases over a four-week interval, and consisted of four levels (zero, low, medium and high). Pro

SUBMITTER: Ajayi T 

PROVIDER: S-EPMC7125872 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature