id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-288342-i37v602u	Wang, Zhen	Coupled disease–behavior dynamics on complex networks: A review	2015-07-08		.txt	text/plain	15810	776	38	Incorporating adaptive behavior into a model of disease spread can provide important insight into population health outcomes, as the activation of social distancing and other nonpharmaceutical interventions (NPIs) have been observed to have the ability to alter the course of an epidemic [50] [51] [52] . The authors studied their coupled "disease-behavior" model in well-mixed populations, in square lattice populations, in random network populations, and in SF network populations, and found that population structure acts as a "double-edged sword" for public health: it can promote high levels of voluntary vaccination and herd immunity given that the cost for vaccination is not too large, but small increases in the cost beyond a certain threshold would cause vaccination to plummet, and infections to rise, more dramatically than in well-mixed populations. The first mathematical models studied the adaptive dynamics of disease-behavior responses in the homogeneously mixed population, assuming that individuals interact with each other at the same contact rate, without restrictions on selecting potential partners.	./cache/cord-288342-i37v602u.txt	./txt/cord-288342-i37v602u.txt