id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-345695-5vi9wibk	Hicks, Lorin L.	A statistical approach to white-nose syndrome surveillance monitoring using acoustic data	2020-10-22		.txt	text/plain	5489	262	48	From these data, we developed site-specific prediction models for bat activity to account for seasonal and annual temperature variation prior to known occurrence of WNS. We propose this model-based method for future monitoring efforts that could be used to trigger targeted sampling of individual bats or hibernacula for WNS, in areas where traditional disease surveillance approaches are logistically difficult to implement or because of human-wildlife transmission concerns from COVID-19. We predicted that bat populations in the western U.S. would have low levels of activity during winter months, high levels of activity during the summer, and that acoustic monitoring could be used as an effective approach for disease surveillance in remote areas of the Intermountain West. The model was fit to data from all 41 sites to estimate among-site and among-year variation in activity, but we use the results to generate prediction intervals for four forest sites to depict how a landowner might implement this approach for WNS surveillance monitoring.	./cache/cord-345695-5vi9wibk.txt	./txt/cord-345695-5vi9wibk.txt