This is an interactive, quantitative model that forecasts demand for COVID-19 related hospitalization based on county-level population characteristics, data from the literature on COVID-19, and data from online repositories. The model estimates a time series of demand for intensive care beds and acute care beds as well as the availability of those beds due to COVID-19 using the initial numbers, the doubling time, and the population-specific rates and then compares these to the numbers of relevant beds derived from data from the American Hospital Association. The tool is only designed to project hospitalizations when a small proportion of the overall population has been infected (<20%) and does not account for community immunity. The output of the model can be viewed in a graphic or in a table and is downloadable in a CSV format.
This site was available on the date of the last automated link check. (2025/06/16)
Identifier | URL:https://surfcovid19.shinyapps.io/pop_prod/ |
Type | software |
Biological Scale | population |
Collection End Date | |
Language | English |
Topics | |
Geographical Scope | United States |
Geographical Resolution | County, State |
Start Date | |
End Date | |
Version | unspecified |
Accessible For Free | TRUE |
License | unspecified |
Rights | unspecified |
HTTP Status Code | 200 |
HTTP Checked On | 2025/06/16 |