Resource Allocation for COVID19
Note: this project has moved to a new repository (https://github.com/flixpar/covid-patient-redistribution-site).
One of the primary dangers of the COVID-19 pandemic in the United States is its potential to overwhelm the healthcare system. Hospital beds, nurses, PPE, ventilators, and other resources are required to take care of people infected with COVID-19 who require hospitalization, yet these are limited resources and many hospitals are short on some or all of them. While hospitals are able to create some additional capacity by converting beds and re-using PPE, these methods are often insufficient or unsustainable.
However, different areas are impacted with different severity, and experience their peaks in infected patients at different times. Therefore, while some hospitals are nearing capacity or running out of resources, other hospitals may have excess capacity or resources that they could share.
We are proposing a system to take advantage of any excess resources or capacity by optimally re-distributing resources and patients between regions. Using data on hospital capacity and resources, as well as forecasts of the number of COVID cases, our model can determine an optimal set of transfers so that the total number of patients who are properly cared for is maximized.
This work is being done by Felix Parker, Darius Irani, Hamilton Sawczuk, and Professor Kimia Ghobadi in the Center for Systems Science and Engineering at Johns Hopkins University.