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.
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