This repository contains Group 2's contribution to the Centre for Urban Science and Progress London Data Dive 2022. The group consisted of @samuelhoenle (University of Glasgow), @WilkesZhu (University of Glasgow), @Elika-Sinha (UCL), and @Siricvbl (UCL).
We tackled challenge C 'Correlations and COVID-19', which tasked us to look for patterns in England's open data about the COVID-19 pandemic. The focus of our work was to identify policy changes that might have led to an increase in infections in early 2022, as London was recovering from the first Omicron wave. The target audience were policy-makers deciding on policy changes after a hypothetical future COVID-19 wave.
Our work was awarded with the Best Technical Contribution award by the event's jury.
The main output of our work is the presentation held on day 4 of the Data Dive. You can find it here: presentation.pdf
We only used openly available data in our analysis. See the data folder for data processing.
The code underlying the presentation is collected in this Jupyter notebook: The Effects of Policy Interventions on COVID-19 - Group 2 Challenge C.ipynb