id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-324035-43jy23ic	Fronterre, C.	COVID-19 in England: spatial patterns and regional outbreaks	2020-05-20		.txt	text/plain	3540	159	45	In determining a suitably "fine" spatial scale at which to perform surveillance, report the occurrence of disease cases, and be able to predict risk from continued outbreaks, it is necessary to consider the spatial variation of underlying population characteristics determining transmission of, and susceptibility to, COVID-19. In this section, we describe a spatiotemporal phenomenological approach to monitoring COVID-19 on a national scale, highlighting regions of higher than expected case incidence, regions that have high propensity for sustained transmission, and regions that are at risk from imported infection from other regions of the country. Although these data may be subject to temporal biases due to changing testing regimes, they appear to provide the most spatially resolved measure of number of COVID-19 cases available to modellers with cases attributed to each of 315 Lower Tier Local Authorities (LTLAs) in England consistent with our aim of spatial analysis of the outbreak (modified from statutory LTLAs, see following section).	./cache/cord-324035-43jy23ic.txt	./txt/cord-324035-43jy23ic.txt