  In this article, we deal with COVID-19 data to study the trend of the
epidemic at the global situation. Choosing the mortality rate as an appropriate
metric which measures the relative relation between the cumulative confirmed
cases and death cases, we utilize the modified kernel estimator for random
density function (Petersen and Muller, 2016) to obtain the density of the
mortality rate, and apply Frechet change point detection (Dubey and Muller,
2020) to check if there is any significant change on the dynamic pattern of
COVID-19 deaths. The analysis shows that the pattern of global COVID-19
mortality rate seems to have an obvious change at 104 days after first day when
the reported death cases exceed 30. Then we discuss the reasons of abrupt
change of mortality rate trend from aspects both subjective and objective.
