id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-309319-si5c14e8	Cao, Chunxiang	Analysis of Spatiotemporal Characteristics of Pandemic SARS Spread in Mainland China	2016-08-15		.txt	text/plain	4693	255	44	Using detailed mainland China epidemiological data, we study spatiotemporal aspects of this person-to-person contagious disease and simulate its spatiotemporal transmission dynamics via the Bayesian Maximum Entropy (BME) method. The Bayesian Maximum Entropy (BME) approach of modern geostatistics incorporates higher-order statistical estimation for space-time epidemic phenomena and has shown more accurate mapping results than those derived from linear kriging geostatistics [19] . BME provides an effective stochastic method, based on a cogent theoretical and technological strategy, to analyze relationships of SARS outbreaks in the composite space-time domain. (2) BME considers spatial heterogeneity in SARS outbreaks, which broadens the traditional epidemic research field from the temporal to space-time domain. In the case of the SARS outbreaks, we used the observations to explore general structural characteristics of the SARS S/TRF, that is, the existence of mean (or surface) trends in the space-time domain, and to explore the underlying temporal and spatial structure of the S/TRF with suitable covariance functions.	./cache/cord-309319-si5c14e8.txt	./txt/cord-309319-si5c14e8.txt