COVID-19 Healthcare Demand Projections: Austin, Texas

dc.creatorPasco, Remy
dc.creatorWang, Xutong
dc.creatorPetty, Michaela
dc.creatorDu, Zhanwei
dc.creatorFox, Spencer J.
dc.creatorPignone, Michael
dc.creatorJohnston, Clay
dc.creatorMeyers, Lauren Ancel
dc.date.accessioned2024-07-30T20:36:54Z
dc.date.available2024-07-30T20:36:54Z
dc.date.issued2020-03
dc.descriptionTo support planning by the city of Austin, we analyzed the Austin-Round Rock module of our US COVID-19 Pandemic Model​ to project the number of hospitalizations under four different social distancing scenarios. Note that the results presented herein are based on multiple assumptions about the transmission rate and age-specific severity of COVID-19. There is still much we do not understand about the transmission dynamics of this virus, including the extent of asymptomatic infection and transmission. We update our model inputs on a daily basis, as our understanding of the virus improves. These results do not represent the full range of uncertainty. Rather, they are meant to serve as plausible scenarios for gauging the likely impacts of social distancing measures in the Austin-Round Rock Metropolitan Area. We are posting these results prior to peer review to provide intuition for both policy makers and the public regarding both the immediate threat of COVID-19 and the extent to which early social distancing measures can mitigate that threat. Our projections indicate that without extensive social distancing measures, the emerging outbreak will quickly surpass healthcare capacity in the region. Although these analyses are specific to the Austin-Round Rock metropolitan area, we expect that the impacts of the mitigation strategies will be qualitatively similar for cities throughout the US.
dc.description.departmentIntegrative Biology
dc.identifier.urihttps://hdl.handle.net/2152/126326
dc.identifier.urihttps://doi.org/10.26153/tsw/52863
dc.subjectCOVID-19
dc.subjecthealthcare demand
dc.subjectAustin, TX
dc.titleCOVID-19 Healthcare Demand Projections: Austin, Texas
dc.typeDataPaper

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