<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>31</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Gross, John E.</AUTHOR>
		<AUTHOR>Miller, Michael W.</AUTHOR>
		<AUTHOR>Kreeger, Terry J.</AUTHOR>
	</AUTHORS>
	<YEAR>1998</YEAR>
	<TITLE>Simulating Dynamics of Brucellosis in Elk and Bison</TITLE>
	<SECONDARY_AUTHORS>
		<SECONDARY_AUTHOR>USGS</SECONDARY_AUTHOR>
	</SECONDARY_AUTHORS>
	<PAGES>17</PAGES>
	<TERTIARY_TITLE>Final report to the United States Geological Survey, Biological Resources Division</TERTIARY_TITLE>
	<ACCESSION_NUMBER>2</ACCESSION_NUMBER>
	<CALL_NUMBER>2</CALL_NUMBER>
	<KEYWORDS>
		<KEYWORD>brucellosis,</KEYWORD>
		<KEYWORD>brucella</KEYWORD>
		<KEYWORD>abortus,</KEYWORD>
		<KEYWORD>elk,</KEYWORD>
		<KEYWORD>bison,</KEYWORD>
		<KEYWORD>modeling,</KEYWORD>
		<KEYWORD>brucella,</KEYWORD>
		<KEYWORD>bacteria</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>We developed a stochastic, individual-based model to simulate the dynamics of brucellosis in elk and bison. To do so, we evaluated published and unpublished information to identify processes most central to the biology of Brucella abortus, the causative agent of brucellosis, and to transmission of brucellosis among ungulates. Our analysis resulted in a new flow diagram that encapsulated key processes and identified parameters necessary to forecast rates of change in the prevalence of brucellosis. We incorporated these processes into our model and estimated model parameters from field observations and studies of captive animals. We then applied the model to situations analogous to winter-fed elk and free-ranging bison. </ABSTRACT>
	<NOTES>Found in Bison LibraryNatureBib ID: 652210</NOTES>
</RECORD>
</RECORDS></XML>
