id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-299363-y7o8ovf9	Guliyev, Hasraddin	Determining the spatial effects of COVID-19 using the spatial panel data model	2020-04-07		.txt	text/plain	3127	270	65	We examine the factors affecting COVID-19 together with the spatial effects, and use spatial panel data models to determine the relationship among the variables including their spatial effects. Using spatial panel models, we analyse the relationship between the rate of confirmed cases (R c ) of COVID-19, the rate of deaths (R d ), the rate of recovered cases (R r ) due to treatment, with spatial and temporal effects. This further suggests that it is necessary to construct spatial panel data models rather than SLMs, which do not consider spatial effects, if our objective is to explore the influencing factors of the rate of confirmed cases and their spatial spillover effects. Built on the spatial panel data of 31 regions in China from 22 January 2020 to 10 March 2020, we investigated the influencing variables (the rate of deaths and recovered cases) and their spatial spillover effects of COVID-19.	./cache/cord-299363-y7o8ovf9.txt	./txt/cord-299363-y7o8ovf9.txt