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

Published in arxiv, 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://arxiv.org/abs/2005.12441v1

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