Exploration of how using epidemiological models to simulate the COVID-19 pandemic's dynamics affects its development in a community. The model used for this analysis was developed by the Neherlab group. It is a deterministic SEIR comparimental moment, with the ability for the user to input specific intervention measures.
This code was created for the University of Edinburgh's Senior Honours Group project in my 4th year. The title of our report is: "Testing Covid-19 intervention measures against epidemiological models".
Data is downloaded from https://covid19-scenarios.org as a .tsv file.
python plots.py --models <directory of model 1 .tsv file> <directory of model 2 .tsv file>
Note: Multiple models can be added and run with a single run.
Example: python plots.py --models lock_5m_simlarge
| Folder | Description |
|---|---|
| Data | exported data (.tsv) |
| Notebooks | Trial stage of code |
| Plots | exported plots from model |
| Tables | results from runs |
I want to thank Tom Bramwell for his contribution in this analysis.