Author: Robert Moss; James Wood; Damien Brown; Freya Shearer; Andrew J Black; Allen Cheng; James M McCaw; Jodie McVernon
Title: Modelling the impact of COVID-19 in Australia to inform transmission reducing measures and health system preparedness Document date: 2020_4_11
ID: emodr41j_53
Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.07.20056184 doi: medRxiv preprint Figure 5A : Duration of excess demand by sector over the course of the epidemic, by sector, for quarantine and isolation (blue) scenarios, with overlaid social distancing measures to reduce transmission by 25% (green) and 33% (purple). ICU capacity exceedance for COVID-19 admissions is compared for baseline, 2, 3 and 5 x ICU capacity. The 'C.....
Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04.07.20056184 doi: medRxiv preprint Figure 5A : Duration of excess demand by sector over the course of the epidemic, by sector, for quarantine and isolation (blue) scenarios, with overlaid social distancing measures to reduce transmission by 25% (green) and 33% (purple). ICU capacity exceedance for COVID-19 admissions is compared for baseline, 2, 3 and 5 x ICU capacity. The 'COVID-19 clinics' scenario reflects an alternative triage pathway, and baseline capacity. Dots denote medians, lines range from 5 th to 95 th centiles of simulations. Figure 5B : Peak excess demand by sector expressed as % available capacity, for quarantine and isolation (blue) scenarios, with overlaid social distancing measures to reduce transmission by 25% (green) and 33% (purple). This excess is compared for baseline, 2, 3, and 5 x ICU capacity. The 'COVID-19 clinics' scenario reflects an alternative triage pathway, and baseline capacity. Dots denote medians, lines range from 5 th to 95 th centiles of simulations.
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