id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-340131-refvewcm	Kache, Tom	How Simulations May Help Us to Understand the Dynamics of COVID‐19 Spread. – Visualizing Non‐Intuitive Behaviors of a Pandemic (pansim.uni‐jena.de)	2020-06-04		.txt	text/plain	2452	168	62	Exponential-like growth can be observed only in the beginning of the spread, where the number of people that do not have the disease is a lot bigger in comparison to the infectious individuals. When the pandemic runs through the population a key figure is the maximum number of active cases. That means that any measure that leads to the reduction of that probability would reduce the maximum number of active cases and hence would help to reduce the risk of pushing the health care system to its limit. The model makes it possible to explore the effects of the different parameters on the behaviour of the spread and key outcomes such as peak number of active cases or total number of affected individuals. The fraction of the population that got infected and the maximum fraction of active cases is displayed in the control panel of pansim to allow users to compare different simulation outcomes.	./cache/cord-340131-refvewcm.txt	./txt/cord-340131-refvewcm.txt