  Coinfection is the process by which a host that is infected with a pathogen
becomes infected by a second pathogen at a later point in time. An
immunosuppressant host response to a primary disease can facilitate spreading
of a subsequent emergent pathogen among the population. Social contact patterns
within the substrate populace can be modelled using complex networks and it has
been shown that contact patterns vastly influence the emergent disease
dynamics. In this paper, we consider the effect of contact clustering on the
coinfection dynamics of two pathogens spreading over a network. We use the
generating function formulation to describe the expected outbreak sizes of each
pathogen and numerically study the threshold criteria that permit the
coexistence of each strain among the network. We find that the effects of
clustering on the levels of coinfection are governed by the details of the
contact topology.
