COVID-19 Epidemiological Scenario Analysis

Our interactive, user-driven interface forecasts the impact of a disease outbreak on the population. The epidemiological models allow health care professionals to run different virus projection scenarios in order to follow the flow of a population through the four stages of an epidemic (Susceptible, Exposed, Infected and Recovered), and better understand medical resource needs.

How can the free environment be used?

• Run different scenarios of an epidemic, and provide projections of the peak and numbers of individuals by stage.
• Include key parameters such as disease contagiousness, or average number of people who will catch the disease from one infected person.
• Adjust projections for the effect of interventions such as social distancing or other policies implemented.
• Download scenario projections for further analysis.

The COVID-19 Epidemiological Scenario Analysis was developed to provide a user driven experience for the public GitHub models that were developed jointly by SAS and Cleveland Clinic.  Read more about the project.