Time Series Analysis of COVID-19 Cases in Humboldt County

ABSTRACT

The time series of COVID-19 daily cases in the U.S is analyzed by utilizing the county-level temporal data, from January 22, 2020 to October 18, 2021. Autocorrelation and partial autocorrelation show that time series of daily cases in Humboldt county has a 7-day seasonal pattern. Visualization and augmented Dickey-Fuller test show that time series of daily cases in Humboldt county is non-stationary. The seven-order difference reveals that the time series is stationary. There is a moderate positive correlation between daily cases and fully vaccination rate. Clustering analysis describes 33 counties have similar daily case pattern with Humboldt County by standard deviation of 0.003. This analysis can be used for future time-series forecasting and planning. © 2021 IEEE.