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Code and data to accompany COVID19 prediction manuscript.

License: GNU General Public License v3.0

Jupyter Notebook 22.36% Shell 2.49% Makefile 0.32% C 18.08% Fortran 24.44% OpenEdge ABL 0.23% Python 32.08%

covid19-public's Introduction

Code to accompany the preprint:

Predicting the Trajectory of Any COVID19 Epidemic From the Best Straight Line Michael Levitt, Andrea Scaiewicz, Francesco Zonta medRxiv 2020.06.26.20140814; doi: https://doi.org/10.1101/2020.06.26.20140814

Contents

best-fit-method/
├── README.md
├── notebooks
│   ├── 00_processing : data scrapper notebook.
│   ├── 01_plotting
│   ├── 02_smoothing
│   ├── README.md
│   └── environment.yml
└── predictions
    ├── example_data : example input/output files
    ├── mortran-src : original MORTRAN code and compilers
    └── python : translated Python code

License

All code and files in this repository are made available under the GNU General Public License v3.0.

covid19-public's People

Contributors

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Stargazers

Dimitrios Dalagiorgos avatar Kai Schwabe avatar Lewis Bowes avatar C. Kevin Crow avatar  avatar

Watchers

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