id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-269559-gvvnvcfo	Kergaßner, Andreas	Memory-based meso-scale modeling of Covid-19: County-resolved timelines in Germany	2020-08-03		.txt	text/plain	4492	257	54	Here, we combine a spatially resolved county-level infection model for Germany with a memory-based integro-differential approach capable of directly including medical data on the course of disease, which is not possible when using traditional SIR-type models. Based on the history of S, other quantities and subgroups can be determined directly from including medical data on the various courses and infectiousness levels of the disease via corresponding integration weights: We distinguish between the states infectious γ I , symptomatic γ S , tested and quarantined γ Q , hospitalized γ H , in intensive care γ ICU , recovered γ R and deceased γ D . Figure 6 shows the model predicted spatial distribution at county resolution of infectious, symptomatic, hospitalized, and patients in intensive care, following from the individual disease courses in Fig. 1 .	./cache/cord-269559-gvvnvcfo.txt	./txt/cord-269559-gvvnvcfo.txt