Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation

Published in Infect Dis Model., 2020

Recommended citation: Armstrong, E., Runge, M., Gerardin, J., 2020. Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation. arXiv:2005.12441 [q-bio]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605798/

This preprint demonstrates the ability of statistical data assimilation to identify the measurements required for accurate state and parameter estimation in an epidemiological model for the novel coronavirus disease COVID-19. Download paper here