A paper titled “Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece“, authored by Marios Sekadakis, Eva Michelaraki, Christos Katrakazas and George Yannis is  published in Accident Analysis & Prevention. Three different Seasonal Autoregressive Integrated Moving Average (SARIMA) time series models were implemented on road casualties data for the period 2010-2020 in order to compare the observed measurements to forecasted values intended to depict assumed conditions; namely, without the appearance of the COVID-19 pandemic. The results demonstrate that fatalities and slightly injured rates were significantly increased during the lockdown period and the subsequent months. Overall, it can be concluded that a worse performance was identified in terms of road safety. Since subsequent waves of COVID-19 cases and other pandemics may reappear in the future, the outcomes of the current study may be exploited for the improvement of road safety from local authorities and policymakers.