Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model

MLA

Phillip Sundin, et al. “Pandemic Velocity: Forecasting COVID-19 in the US with a Machine Learning & Bayesian Time Series Compartmental Model.” PLoS Computational Biology, vol. 17, no. 3, Mar. 2021. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....61bf722494279ffbde138f19f5f397c7&authtype=sso&custid=ns315887.

APA

Phillip Sundin, Marc A. Suchard, Joseph A. Zoller, Gregory L. Watson, Lu Zhang, Teresa Bufford, Di Xiong, John Shamshoian, Anne W. Rimoin, & Christina M. Ramirez. (2021). Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model. PLoS Computational Biology, 17(3).

Chicago

Phillip Sundin, Marc A. Suchard, Joseph A. Zoller, Gregory L. Watson, Lu Zhang, Teresa Bufford, Di Xiong, John Shamshoian, Anne W. Rimoin, and Christina M. Ramirez. 2021. “Pandemic Velocity: Forecasting COVID-19 in the US with a Machine Learning & Bayesian Time Series Compartmental Model.” PLoS Computational Biology 17 (3). http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....61bf722494279ffbde138f19f5f397c7&authtype=sso&custid=ns315887.