id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-004006-tfp2idq2	Hale, Alison C.	A real-time spatio-temporal syndromic surveillance system with application to small companion animals	2019-11-28		.txt	text/plain	8150	384	48	In this paper we describe the first real-time syndromic surveillance system that conducts integrated spatio-temporal analysis of data from a national network of veterinary premises for the early detection of disease outbreaks in small animals. Here we propose a real-time syndromic surveillance system that uses a spatio-temporal model in conjunction with Bayesian inference for the early detection of health-event outbreaks. This is, to our knowledge, the first surveillance system that conducts integrated spatio-temporal analysis of data from a national network of veterinary practices so as to enable real-time detection of spatially and temporally localised changes in reporting patterns across the network. We use the actual SAVSNET total consultations for dogs during February 2016, together with their associated explanatory variables, to simulate a step increase in the proportion of GI disease cases affecting one or more premises from a given day t , 0 corresponding to 15 February 2016, by augmenting Eq.	./cache/cord-004006-tfp2idq2.txt	./txt/cord-004006-tfp2idq2.txt