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Using Social Network Measures in Wildlife Disease Ecology, Epidemiology, and Management
Matthew J Silk1, Darren P Croft1, Richard J Delahay1
1Matthew J. Silk (matthewsilk@outlook.com) and Robbie A. McDonald (r.mcdonald@exeter.ac.uk) are affiliated with the Environment and Sustainability Institute at the University of Exeter, in Penryn, Cornwall, United Kingdom. Darren P. Croft is with the Centre for Research in Animal Behaviour at the University of Exeter, in the United Kingdom. Richard J. Delahay is affiliated with the National Wildlife Management Centre of the Animal and Plant Health Agency at Woodchester Park, in Gloucestershire, United Kingdom. David J. Hodgson, Mike Boots, and Nicola Weber are with the Centre for Ecology and Conservation at the University of Exeter, in Penryn, Cornwall, United Kingdom; MB is also affiliated with the Department of Integrative Biology at the University of California, Berkeley.
Abstract:
Contact networks, behavioral interactions, and shared use of space can all have important implications for the spread of disease in animals. Social networks enable the quantification of complex patterns of interactions; therefore, network analysis is becoming increasingly widespread in the study of infectious disease in animals, including wildlife. We present an introductory guide to using social-network-analytical approaches in wildlife disease ecology, epidemiology, and management. We focus on providing detailed practical guidance for the use of basic descriptive network measures by suggesting the research questions to which each technique is best suited and detailing the software available for each. We also discuss how using network approaches can be used beyond the study of social contacts and across a range of spatial and temporal scales. Finally, we integrate these approaches to examine how network analysis can be used to inform the implementation and monitoring of effective disease management strategies.
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