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Creating a SEIR modell to fit it to cases per capita vs time or deaths per capita versus time. Datasets needed:
Timeseries of cases per country or deaths per country
Technical approach: Create a SEIR modell, which with defined params and fit it with data using least squares.
To do: Fit the modell using real data to update the params. Then predict the evolution of cases using the modell
The text was updated successfully, but these errors were encountered:
Please include the URL https://trello.com/c/fdGGQzxh in the issue description. Discuss organizational aspects only in the Trello card –https://trello.com/c/fdGGQzxh.
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The model is here https://colab.research.google.com/drive/1mWB38jVZ2yjj5ENyRnOMU2yiLXSrMm3w#scrollTo=5zZ0Uvnw6686 However currently the data are csv files and I would like to use the data like it is intented in the repo, can someone help me adapt the code so that it can use data in our repo? The data I am currently using is https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases
sammerpuranpost
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Creating a SEIR modell to fit it to cases per capita vs time or deaths per capita versus time.
Datasets needed:
Timeseries of cases per country or deaths per country
Technical approach: Create a SEIR modell, which with defined params and fit it with data using least squares.
To do: Fit the modell using real data to update the params. Then predict the evolution of cases using the modell
The text was updated successfully, but these errors were encountered: