Context
The context of this dataset is that of the COVID-19 forecasting competition. By enriching the original dataset with metereological features I hope to help other researchers in their job.
Content
In this dataset I have added weather informations, such as temperature and precipitations, to the training set of the COVID-19 forecasting competition, in order to determine whether there is any correlation with the growth of confirmed cases. Weather data is imported from the NOAA GSOD dataset, continuously updated to include recent measurments.
Acknowledgements
My gratitude goes to all who worked to both the NOAA GSOD dataset and the COVID-19 forecasting competition.
Inspiration
This dataset was built in order to investigate possible relationships between the spread and resistance of COVID-19, and climatical features such as temperature and humidity.