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This is a Bayesian python toolbox for inference and forecast of the spread of the Coronavirus.
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This is a Bayesian python toolbox for inference and forecast of the spread of the Coronavirus. We also provide a variety of data download utilities which allow quick and easy data exploration of Coronavirus related datasets.
The latest stable version is [v0.3.6](https://github.com/Priesemann-Group/covid19_inference/tree/v0.3.6)!
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The latest stable version is [v0.4.0](https://github.com/Priesemann-Group/covid19_inference/tree/v0.4.0)!
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The research article [is available on arXiv](https://arxiv.org/abs/2004.01105) (**updated on April 13 2020**).
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The code used to produce the figures is available in the other repository [here](https://github.com/Priesemann-Group/covid19_inference_forecast).
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## Please take notice of our [disclaimer](DISCLAIMER.md).
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If you are interested in our efforts and like to help us feel free to contact us. **We are looking for support** to help us with analyzing other countries and to extend to an hierarchical regional model.
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### Please take notice of our [disclaimer](DISCLAIMER.md).
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### Installation:
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## Installation:
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Can be installed from pypi with
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```
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pip install covid19_inference
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```
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## Related Publications
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These research articles use this package:
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-*Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions*
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- This research article [is available on arXiv](https://arxiv.org/abs/2004.01105) (**updated on April 13 2020**) and was published [in Science](https://www.science.org/doi/10.1126/science.abb9789).
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- The code used to produce the figures is available in the other repository [here](https://github.com/Priesemann-Group/covid19_inference_forecast).
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-*Mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants*
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- This research article [is available on arXiv](https://arxiv.org/abs/2108.10018) (**updated on August 21 2021**).
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If you are interested in our efforts and like to help us feel free to contact us. **We are looking for support**
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