Visual Analytics COVID19

Leonie Engemann
Leonie Engemann

December 22, 2022

Visual Analytics COVID19

Development of a dashboard for the investigation of COVID19 and age structure

Since December 2019, the world has been facing the SARS-CoV-2 virus and its associated disease COVID-19, its consequences and also fatal outcomes. This paper analyses, on the basis of freely available datasets, a possible connection between the regional ageing of German districts and the severity of COVID-19 courses there in the form of hospitalisation. This correlation is examined and presented by using different

visualisation methods. Based on the data and generated visualisations, no clear correlation between the regional ageing of a district and its hospitalisation could be established.


Github: https://github.com/Leonieen/COVID19

Also see under: https://www.leonieengemann.de/bachelorthesis


Demo

Tools used

JupyterLabPython

Plug-ins used

foliummatlabPlotly

tags

agage structureCOVID-19hospithospitalization

You might also like

Join the community!

We're a place where geospatial professionals showcase their works and discover opportunities.