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

@article{Armstrong2020IdentifyingTM, title={Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation}, author={Eve Armstrong and Jaline Gerardin and Manuela Runge}, journal={medRxiv}, year={2020} }

We demonstrate 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. Our context is an effort to inform policy regarding social behavior, to mitigate strain on hospital capacity. The model unknowns are taken to be: the time-varying transmission rate, the fraction of exposed cases that require hospitalization, and the time-varying detection… Expand

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