In December 2019, the world was confronted with the outbreak of the respiratory disease COVID-19 . The COVID-19 epidemic evolved at the beginning of 2020 into a pandemic, which continues to this day . The incredible speed of the spread and the consequences of the infection had a worldwide impact on societies and health systems . Governments enforced many measures to control the COVID-19 pandemic: Restrictions (e.g . lockdown), medical care (e.g . intensive care) and medical prevention (e.g . hygiene concept). This leads to a different spreading behavior of the COVID-19 pandemic, depending on measures . Furthermore, the spreading behavior is influenced by culture and geographical impacts . The spreading behavior of COVID-19 related to short time intervals can be described by Weibull distribution models, common in reliability engineering, in a sound way . The interpretation of the model parameters allows the assessment of the COVID-19 spreading characteristics . This paper shows results of a research study of the COVID-19 spreading behavior depending on different pandemic time phases within Germany and Japan . Both countries are industrial nations, but have many differences with respect to historical development, culture and geographical conditions . Consequently, the chosen government measures have different impacts on the control of the COVID-19 pandemic . The research study contains the analyses of different pandemic time intervals in Germany and Japan: The breakout phase in spring 2020 and subsequently following waves until winter season 2020/2021.