id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-347872-naz24vct	Rostal, Melinda K.	Wildlife: The Need to Better Understand the Linkages	2012-11-02		.txt	text/plain	10049	479	47	In the first attempt to classify the underlying drivers of disease emergence, the Institute of Medicine (IOM) identified six factors including: human demographics and behavior; technology and industry; economic development and land use; international travel and commerce; microbial adaptation and change; and breakdown of public health measures (Lederberg et al. Wildlife health surveillance can be used to better understand the pool of pathogens that may spillover into people or domestic animals; it can also be used to track the spread of wildlife diseases through populations. As zoonotic disease surveillance in wildlife clearly represents a great challenge (i.e., there are 5,000+ mammal species globally), predictive modeling and known patterns in host range can be used to focus the effort on the species and pathogens that pose the greatest risk of zoonotic emergence.	./cache/cord-347872-naz24vct.txt	./txt/cord-347872-naz24vct.txt