Quantifying direct and indirect contacts for the potential transmission of infection between species using a multilayer contact network

Silk, M J; Drewe, J A; Delahay, R J; Weber, N; Steward, L C; Wilson-Aggarwal, J; Boots, M; Hodgson, D J; Croft, D P; McDonald, R A

Abstract

Detecting opportunities for between-species transmission of pathogens can be challenging, particularly if rare behaviours or environmental transmission are involved. We present a multilayer network framework to quantify transmission potential in multi-host systems, incorporating environmental transmission, by using empirical data on direct and indirect contacts between European badgers Meles meles and domestic cattle. We identify that indirect contacts via the environment at badger latrines on pasture are likely to be important for transmission within badger populations and between badgers and cattle. We also find a positive correlation between the role of individual badgers within the badger social network, and their role in the overall badger-cattle-environment network, suggesting that the same behavioural traits contribute to the role of individual badgers in within- and between-species transmission. These findings have implications for disease management interventions in this system, and our novel network approach can provide general insights into transmission in other multi-host disease systems.

Citation

Silk, M., Drewe, J., Delahay, R. J., Weber, N., Steward, L., Wilson-Aggarwal, J., …McDonald, R. (2018). Quantifying direct and indirect contacts for the potential transmission of infection between species using a multilayer contact network. Behaviour, 155(7-9), https://doi.org/10.1163/1568539X-00003493

• Journal Article Type: Article
• Acceptance Date: Apr 12, 2018
• Publication Date: Jun 1, 2018
• Deposit Date: May 17, 2018
• Publicly Available Date: Nov 21, 2020
• Journal: Behaviour
• Print ISSN: 0005-7959
• Publisher: Brill Academic Publishers
• Peer Reviewed: Peer Reviewed
• Volume: 155
• Issue: 7-9
• DOI: https://doi.org/10.1163/1568539X-00003493
• Public URL: https://rvc-repository.worktribe.com/output/1387009