Aarhus COVID-19 datathon

Here, you will find some introductions to the main datasets we expect to be utilized during the Aarhus COVID-19 datathon (https://events.au.dk/coviddata).

Code examples and documentation

• Using data from SSI to calculate the reproduction number (R)

• Modelling Epidemics with Time Series Data and {Epidemia} This notebook is the basis for the Saturday morning workshop: How to model time series data from an epidemic

• Plotting Danish geographical regions

• Using mobility data from telecompanies

• HOPE questionaire

• Datasets for analyzing changes in SARS-CoV-2 incidence during and after the European Football Championship 2020

• Stringency index - Oxford Covid-19 Government Response Tracker (OxCGRT) The level of restrictions imposed by different governments at any time during the pandemic

• Social Compliance During High Stringency Periods Eciently Reduces COVID-19 Incidence: Evidence from Google Mobility Reports

• Genomic data from GISAID

• Code for working with Twitter data The data itself is available on request from https://sciencedata.dk/. Instructions will follow.

• Media data (Infomedia)

Other relevant data

• Official Danish COVID-19 surveillance data

• Google mobility data (Interactive dashboard)

• Apple mobility data