Journal
BMC ECOLOGY
Volume 18, Issue -, Pages -Publisher
BMC
DOI: 10.1186/s12898-018-0188-6
Keywords
Cluster analysis; Culicoides midges; Hemorrhagic disease; Missouri; SaTScan; White-tailed deer
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Funding
- University of Missouri-Kansas City startup fund MOcode [KCS21]
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Background: Outbreaks of deer hemorrhagic disease (HD) have been documented in the USA for many decades. In the year 2012, there was a severe HD outbreak in Missouri with mortalities reaching approximately 6.9 per thousand. Moreover, Missouri accounted for more than 43% of all reported epizootic HD cases in captive white-tailed deer. Using the data of suspected HD occurrence in Missouri, the primary goal of this paper was to determine if HD in Missouri's white-tailed deer occurs in spatial clusters. Results: The main results of the cluster analysis are as follows. First, the spatial clusters of years 1980, 1988, 20052007, 2010, 2012, and 2013 suggest patterns of outbreaks every 6-8 years, with a potential outbreak in years 2018-2020. Secondly, these spatial clusters were more frequent in the central and southern counties. Conclusions: The clustering analyses employed in this study have potential applications for improving surveillance programs and designing early warning systems for effective deer population management and potentially reducing the number of HD cases.
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