Modeling robust COVID-19 intensive care unit occupancy thresholds for imposing mitigation to prevent exceeding capacities

Published in medRXiv, 2021

Recommended citation: Runge, M., Richardson, R.A.K., Clay, P., Eagan, A., Holden, T.M., Singam, M., Tsuboyama, N., Arevalo, P., Fornoff, J., Patrick, S., Ezike, N.O., Gerardin, J., 2021. Modeling robust COVID-19 intensive care unit occupancy thresholds for imposing mitigation to prevent exceeding capacities. medRxiv 2021.06.27.21259530. https://doi.org/10.1101/2021.06.27.21259530 https://www.medrxiv.org/content/10.1101/2021.06.27.21259530v1

Systematic methods for identifying relatively under-tested geographic regions and demographic groups may enable policymakers to regularly monitor and evaluate the shifting landscape of diagnostic testing Download paper here

Recommended citation: Runge, M., Richardson, R.A.K., Clay, P., Eagan, A., Holden, T.M., Singam, M., Tsuboyama, N., Arevalo, P., Fornoff, J., Patrick, S., Ezike, N.O., Gerardin, J., 2021. Modeling robust COVID-19 intensive care unit occupancy thresholds for imposing mitigation to prevent exceeding capacities. medRxiv 2021.06.27.21259530. https://doi.org/10.1101/2021.06.27.21259530