id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-168710-a5pst4gf	Jalilian, Abdollah	A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany	2020-09-28		.txt	text/plain	4576	277	53	In this paper, we use a spatio-temporal stochastic model to explain the temporal and spatial variations in the daily number of new confirmed cases in Spain, Italy and Germany from late February to mid September 2020. To account for the underlying temporal and spatial autocorrelation structure in the spread of COVID-19, available data on the daily number of new cases and deaths in different countries/regions have already been analyzed in a considerable number of studies. Variations of the random rate Λ it relative to the expected number of cases E it provide useful information about the spatio-temporal risk of COVID-19 in the whole spatial domain of interest during the study period. For example, a histogram with heights Table 4 presents the Bayesian estimates (posterior means) for every parameter of the considered model fitted to the daily number of new COVID-19 cases in Spain, Italy and Germany.	./cache/cord-168710-a5pst4gf.txt	./txt/cord-168710-a5pst4gf.txt