id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-004060-nxw5k9y1	Zhang, Yewu	Spatiotemporal Analysis of Influenza in China, 2005–2018	2019-12-23		.txt	text/plain	5547	301	47	After adjusting for other covariates, a spatially unstructured random effect term (v i ), a spatially structured conditional autoregression term (υ i ), a first-order random walk-correlated time variable (γ 1j ), and an interaction term for time and place (δ ij ) in the multivariate adjusted spatiotemporal model, the flu vaccines (per million doses), flu surveillance protocols, rate of influenza A (H1N1)pdm09, latitude and longitude still remain statistically significant. Based on the incidence data of influenza gained from the Chinese Notifiable Infectious Disease Reporting System, we used the Bayesian spatiotemporal model in this study to assess the space-time patterns of the influenza epidemic at the prefecture level in mainland China from 2005 to 2018 and explored several factors that may be associated with the changing spatial and temporal patterns in the influenza incidence risk.	./cache/cord-004060-nxw5k9y1.txt	./txt/cord-004060-nxw5k9y1.txt