id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-291638-oatrjbo3	Kang, Dayun	Spatial epidemic dynamics of the COVID-19 outbreak in China	2020-04-03		.txt	text/plain	2637	160	59	This study described the spatio-temporal pattern and measured the spatial association of the early stages of the COVID-19 epidemic in mainland China from 16 January–06 February 2020. The results showed that most of the models, except medical-care-based connection models, indicated a significant spatial association of COVID-19 infections from around 22 January 2020. There are 31 provinces in mainland China, and this study used 3 weeks' data from 16 January to 06 February 2020, which was during the early stages of COVID-19 in China. Because COVID-19 spread from Hubei Province, the epicentre of the outbreak, the number of newly confirmed cases in the provinces neighbouring Hubei was investigated. It used Moran's I statistic, a measure of spatial association, for the number of confirmed cases with different types of neighbourhoods. On 22 January Models 1-4 first detected a significant spatial dependency on the number of newly confirmed cases. Since approximately 24 January, the number of newly confirmed cases show significant spatial dependency in Models 1 and 2.	./cache/cord-291638-oatrjbo3.txt	./txt/cord-291638-oatrjbo3.txt