  In countries with a severe outbreak of COVID-19, most governments are
considering whether anti-transmission measures are worth social and economic
costs. The seriousness of economic costs such as the closure of some
workplaces, unemployment, reduction in production, and social costs such as
school closures, disruptions in education could be observable. However, the
effect of the measures taken on the spread of the epidemic, such as the number
of delayed or prevented cases, could not be observed. For this reason, the
direct effects of the measures taken on health, that is, the effects on the
course of the epidemic, are important research subjects. For this purpose, in
this study, the breakpoint linear regression analysis is performed to analyze
the trends of daily active cases, recovered, and deaths in Turkey. The analysis
reveals that there has been a remarkable impact on lockdown and other
precautions. Using the breakpoint regression model, we also analyze the active
cases' trajectory for eight affected countries and compare the patterns in
these countries with Turkey.
