Hansen, Andreas Alexander Dafnopulos

Johannsen, Magnus

This humanistic technology bachelor project report seeks to examine the connection between machine learning and epidemiological mathematical models, and how these can contribute to an understanding of the current COVID-19 epidemic in a selection of northern European countries. The report is a result of a CRISP-DM process, which contributed to the structure of the project. Processing of data from John Hopkins University as well as the implementation of the model was done in the programming language Python with the following libraries: NumPy, Pandas, Matplotlib, Plotly, SciPy and SciKitLearn. The project resulted in quantitative insight into the COVID-19 epidemic, and machine learning models contributed to simulations of the epidemic. It was discussed which possibilities and limitations these insights include. <br/

Simulation of Covid-19 in Danmark using Python

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Roskilde Universitet