The use of social and contact networks to answer basic and applied questions about
infectious disease transmission in wildlife and livestock is receiving increased attention …

1. Heterogeneity in the ability of hosts to transmit pathogens is among the most fundamental
concepts in disease dynamics and has major implications for disease control strategies. 2 …

The scientific study of networks-computer, social, and biological-has received an enormous
amount of interest in recent years. However, the network approach has been applied to the …

Climate change and climate‐driven increases in infectious disease threaten wildlife
populations globally. Gut microbial responses are predicted to either buffer or exacerbate …

ABSTRACT A hallmark assumption of traditional approaches to disease modelling is that
individuals within a given population mix uniformly and at random. However, this …

Social structure can theoretically regulate disease risk by mediating exposure to pathogens
via social proximity and contact. Investigating the role of central individuals within a network …

Social network analysis has recently emerged as a popular tool for understanding disease
transmission in host populations. Although social networks have most extensively been …

The organism that causes tuberculosis in meerkats (Suricata suricatta) has been poorly
characterized. Our genetic analysis showed it to be a novel member of the Mycobacterium …

Classic aggregation operators in group decision making such as the ordered weighted
averaging (OWA), induced ordered weighted averaging (IOWA), C‐IOWA, P‐IOWA, and I …

Datasets from which wildlife contact networks of epidemiological importance can be inferred
are becoming increasingly common. A largely unexplored facet of these data is finding …