This repository contains the source code for the RShiny app providing pilot predictions of incomplete organismal recovery from SARS-CoV-2 infection. The tool can be accessed here: http://shiny.mrc-bsu.cam.ac.uk/apps/covid-19-systemic-recovery-prediction-app/.
The study and methodology behind the development of this tool are described in the following publication:
Ruffieux, H., Hanson, A. L., Lodge, S., Lawler, N. G., Whiley, L., Gray, N., ... & Hess, C. A patient-centric modeling framework captures recovery from SARS-CoV-2 infection. Nature Immunology. 2023.
To report an issue, please use the issue tracker at github.com.