Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation
Published in Infect Dis Model., 2020
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
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].
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