Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada

Epidemiological features of influenza circulation in swine populations: A systematic review and meta-analysis

(2017) Eugénie Baudon et al.   PLoS One

The Molecular Determinants of Antibody Recognition and Antigenic Drift in the H3 Hemagglutinin of Swine Influenza A Virus

(2016) Eugenio J. Abente et al.   JOURNAL OF VIROLOGY

Investigation of an Outbreak of Variant Influenza A(H3N2) Virus Infection Associated With an Agricultural Fair—Ohio, August 2012

(2015) Adena Greenbaum et al.   JOURNAL OF INFECTIOUS DISEASES

Automatic Time Series Forecasting: TheforecastPackage forR

(2015) Rob J. Hyndman et al.   Journal of Statistical Software

Genetic Characterization of H1N1 and H1N2 Influenza A Viruses Circulating in Ontario Pigs in 2012

(2015) Helena Grgić et al.   PLoS One

Comparing Observed with Predicted Weekly Influenza-Like Illness Rates during the Winter Holiday Break, United States, 2004-2013

(2015) Hongjiang Gao et al.   PLoS One

Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks

(2014) Michael J Kane et al.   BMC BIOINFORMATICS

Assessment of seasonality of influenza in swine using field submissions to a diagnostic laboratory in Ontario between 2007 and 2012

(2014) Zvonimir Poljak et al.   Influenza and Other Respiratory Viruses

Molecular characterization of H3N2 influenza A viruses isolated from Ontario swine in 2011 and 2012

(2014) Helena Grgić et al.   Virology Journal

A Comparison of Univariate Time Series Methods for Forecasting Intraday Arrivals at a Call Center

(2007) James W. Taylor   MANAGEMENT SCIENCE