id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-314837-5nnlyavp	Verhagen, Mark D.	Forecasting spatial, socioeconomic and demographic variation in COVID-19 health care demand in England and Wales	2020-06-29		.txt	text/plain	4146	189	44	METHODS: Combining census estimates and hospital capacity data from ONS and NHS at the Administrative Region, Ceremonial County (CC), Clinical Commissioning Group (CCG) and Lower Layer Super Output Area (LSOA) level from England and Wales, we calculate the number of individuals at risk of COVID-19 hospitalization. Combining multiple sources, we produce geospatial risk maps on an online dashboard that dynamically illustrate how the pre-crisis health system capacity matches local variations in hospitalization risk related to age, social deprivation, population density and ethnicity, also adjusting for the overall infection rate and hospital capacity. Static maps are shown in this study, with an online companion dashboard available (https://covid19.demographicscience.ox.ac.uk/demrisk), that allows users and policy-makers to examine different geographic levels (region, CC, CCG, LSOA) and adapt estimates by the overall infection rate and hospital capacity relative to normal circumstances.	./cache/cord-314837-5nnlyavp.txt	./txt/cord-314837-5nnlyavp.txt