Research

Working paper available on medrxiv [https://doi.org/10.1101/2020.06.12.20129551](https://doi.org/10.1101/2020.06.12.20129551 ) Summary - A collaborative research effort with researchers and clinicians at the University of Utah. We present a method for projecting COVID-19 post-acute care needs. Our model is designed to take the output from any of the numerous epidemiological models (hospital discharges) and estimate the flow of patients to post-acute care services, thus providing a similar surge planning model for post-acute care services. See my [my blog post about this project](/post/post-acute-care/).

Uncertainty has been defining our personal and professional lives since early March, when COVID-19 began spreading widely in the United States. Bayesian thinking can help formalize and manage this uncertainty. Read about my collaboration with researchers and clinicians at the University of Utah to help plan for COVID-19 post-acute care needs.