id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-299846-yx18oyv6	Amar, Patrick	Pandæsim: An Epidemic Spreading Stochastic Simulator	2020-09-18		.txt	text/plain	6358	332	56	The stochastic discrete version of Pandæsim showed very good correlations between the simulation results and the statistics gathered from hospitals, both on day by day and on global numbers, including the effects of the lockdown. The number of people of each age slice leaving their home sub-regions is a stochastic sample (or averaged value for the deterministic continuous solver) of a percentage of the population of this sub-region. Starting from an initial state (number of contagious people in each sub-region), the simulation algorithm iterates the following process at each timestep until either the epidemic ends or the maximum duration of the simulation is reached (defaults to 720 days). When the initial number of contagious people was relatively high, for example, in the Val-de-Marne sub-region (180), the results for both solvers were nearly identical: 5207 deaths for the average of 1000 stochastic runs and 5204 deaths for a deterministic run (Figures 2 and 3) .	./cache/cord-299846-yx18oyv6.txt	./txt/cord-299846-yx18oyv6.txt