COVID-19 is an acute respiratory disease that has been classified as a
pandemic by the World Health Organization. Information regarding this
particular disease is limited, however, it is known to have high mortality
rates, particularly among individuals with preexisting medical conditions.
Creating models to identify individuals who are at the greatest risk for severe
complications due to COVID-19 will be useful to help for outreach campaigns in
mitigating the diseases worst effects. While information specific to COVID-19
is limited, a model using complications due to other upper respiratory
infections can be used as a proxy to help identify those individuals who are at
the greatest risk. We present the results for three models predicting such
complications, with each model having varying levels of predictive
effectiveness at the expense of ease of implementation.
Dave DeCaprio, Joseph Gartner, Thadeus Burgess, Sarthak Kothari, Shaayan Sayed, Carol J. McCall PSA. MPH