https://github.com/mtsokol/epidemic-modelling-workshop
An introduction to sensitivity analysis and 4D-Var data assimilation method in epidemic modelling setting
https://github.com/mtsokol/epidemic-modelling-workshop
4d-var data-assimilation seir-model sensitivity-analysis tensorflow
Last synced: over 1 year ago
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An introduction to sensitivity analysis and 4D-Var data assimilation method in epidemic modelling setting
- Host: GitHub
- URL: https://github.com/mtsokol/epidemic-modelling-workshop
- Owner: mtsokol
- Created: 2020-10-31T22:41:49.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-02-09T11:50:43.000Z (over 5 years ago)
- Last Synced: 2025-01-13T06:43:22.689Z (over 1 year ago)
- Topics: 4d-var, data-assimilation, seir-model, sensitivity-analysis, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 438 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Epidemic Modelling - SIR workshop
Workshop is comprised of two notebooks:
1. Introduction to the `SIR` model, sensitivity analysis (local with TensorFlow and global with SALib)
2. `4D-Var` methodology, epidemic modelling and prediction for New Zealand cases
Required dependencies in `requirements.txt`
`master` branch contains filled notebooks with solutions, where `class-version` branch is prepared with blank fields (tasks) to be completed by students.