id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-016238-bs1qk677	Venkatachalam, Sangeeta	An Infectious Disease Outbreak Simulator Based on the Cellular Automata Paradigm	2006		.txt	text/plain	4210	263	52	The simulator facilitates the study of dynamics of epidemics of different infectious diseases, and has been applied to study the effects of spread vaccination and ring vaccination strategies. Our efforts to design and implement a Cellular Automata based simulator has been necessitated by the need to study the dynamic of spread of a vast number of infectious diseases. Di Stefano et al [8] have developed a lattice gas cellular automata model to analyze the spread of epidemics of infectious diseases. However, this approach does not consider the infection time-line of latency, incubation period, and recovery which have been shown to be important to model a disease epidemic. In our model the basic unit of cellular automata is a cell, which may represent an individual or a small sub-population. While modeling a disease epidemic, few parameters that are considered important are neighborhood radius, contact between individuals, infection probability (variable susceptibility), immunity, latency, infectious period and recovery period.	./cache/cord-016238-bs1qk677.txt	./txt/cord-016238-bs1qk677.txt