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
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.