Many people feel great uncertainty these days, because they do not know when they can return to their normal lives. Our model might help to guide political decision making and let individuals understand how the course of the disease might progress as the seasons change

What it does

Using case data from Johns Hopkins alongside various data on populations and meteorology, a model was built of the impact of temperature, humidity, and government controls on the spread of the virus. This model was then used to make predictions on future development of the virus.

How it was built

Models were built using python, and a shiny app was developed using r

What's next for Seasonal Change and SARS-CoV-2

More data and refined modelling! Improved accessibility by front-end programming

Try It out



python, r, shiny

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