Inspiration

What it does

-Forecasts regional spread of COVID-19 in the United States using global infection data, with consideration to state/federal regulations that slow the growth of the disease.

-Predicts hospitalizations and utilization of healthcare resources over time for infected regions in the United States.

-Maps healthcare capacity across regions with hospitalizations and models of regional COVID-19 infections to analyze the impacts of differently timed social distancing measures (i.e. no limitations, lockdown, shelter-in-place).

We used global data on COVID-19 from the World Health Organization and John's Hopkins to build a model that forecasts COVID-19 cases and recoveries over time for different states in the United States.

How I built it

Methodology

require 'redcarpet'
markdown = Redcarpet.new("Hello World!")
puts markdown.to_html

Challenges I ran into

-Incorporating how different degrees of "lockdown" procedures impacted the spread of cases. We decided to use "interaction rate," which defines the percent of regular interactions, as a proxy to adjust the spread of the virus given varying degrees of community interaction.

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Accomplishments that I'm proud of

What I learned

What's next for Forecasting Hospital

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