id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-140839-rij8f137	Langfeld, Kurt	Dynamics of epidemic diseases without guaranteed immunity	2020-07-31		.txt	text/plain	2287	140	55	Conventional mathematical models consider cases for which a recovered individual either becomes susceptible again or develops an immunity. In the simplest version, the so-called compartmental models [7, 10] consider the fraction of the population which is either susceptible (S), infected (I) or removed (R) from the disease network. Compartmental models address global quantities such as the fraction of susceptible individuals S and assume that heuristic rate equations can describe the disease dynamics. In these cases, spatial disease spread patterns can be described by a stochastic network model with Monte-Carlo simulations a common choice for the simulation. At each time step (say 'day'), the probability that an individual gets infected (or recovers) depends on the status of the neighbours in the social network. For τ > t th , the peak infection rate is that of the asymptotic state of the corresponding model (i) and, hence, inherits the classification 'pandemic' or 'response' phase.	./cache/cord-140839-rij8f137.txt	./txt/cord-140839-rij8f137.txt