Topic Modelling was used to analyze Swedish newspaper articles about Coronavirus using the Latent Dirichlet Allocation method. The researchers studied over 6500 articles from January 2020 to March 2021 to identify main topics and how they changed over time. This study aims to help with big data analytics and support research on the socio-economic and healthcare impacts of pandemics. The findings can be useful for similar studies in understanding the evolving topics related to Coronavirus in the media.