  Since two people came down a county of north Seattle with positive COVID-19
(coronavirus-19) in 2019, the current total cases in the United States (U.S.)
are over 12 million. Predicting the pandemic trend under effective variables is
crucial to help find a way to control the epidemic. Based on available
literature, we propose a validated Vector Autoregression (VAR) time series
model to predict the positive COVID-19 cases. A real data prediction for U.S.
is provided based on the U.S. coronavirus data. The key message from our study
is that the situation of the pandemic will getting worse if there is no
effective control.
