This project is based on the Finnish effective reproduction numner calculation for covid-19.
This projects contains a jupyter notebook to calculate and visualise Germany R_t based on current RKI data in germany.ipynb.
The other part of this project (prepare_cases_function, calculate_r_function, plot_r_function) contains the three AWS Lambda Functions that run every 12 h and write the results and graphs to S3 storage. To be able to run these functions, you need to install locally the required libraries (pandas, pytz, matplotlib) as described in this tutorial and use the AWSLambda-Python3x-SciPy1x provided layer. The workflow of running the 3 functions sequentially is built using AWS Step Functions.
The original notebook and explanation of the calculation is in the notebook Realtime R0.ipynb is by Kevin Systrom and is further explained in the following blog post
http://systrom.com/blog/the-metric-we-need-to-manage-covid-19/