id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-252705-o02505rt	Brockmann, Dirk	Understanding and predicting the global spread of emergent infectious diseases	2014-09-30		.txt	text/plain	1653	87	40	One of the key features that nearly all modern computational models predict is that, unlike historic pandemics that advanced in regular wave like patterns, modern diseases spread in spatially incoherent ways due to the complexity of underlying mobility networks (see Fig. 1c ). Given the increasing availability of data on human mobility and human interactions modern computational and network-theoretic models for disease dynamics will become a central tool for understanding and predicting disease dynamics on local, intermediate and global scales and will aid policy makers and public health research in mitigating their negative effects on society. Combining theoretical insights from nonlinear dynamics, stochastic processes and complex network theory these computational models are becoming increasingly important in the design of efficient mitigation and control strategies and for public health in general. Combining theoretical insights from nonlinear dynamics, stochastic processes and complex network theory these computational models are becoming increasingly important in the design of efficient mitigation and control strategies and for public health in general.	./cache/cord-252705-o02505rt.txt	./txt/cord-252705-o02505rt.txt