  We consider a stochastic model of infection spread on the complete graph on
$N$ vertices incorporating dynamic partnerships, which we assume to be
monogamous. This can be seen as a variation on the contact process in which
some form of edge dynamics determines the set of contacts at each moment in
time. We identify a basic reproduction number $R_0$ with the property that if
$R_0<1$ the infection dies out by time $O(\log N)$, while if $R_0>1$ the
infection survives for an amount of time $e^{\gamma N}$ for some $\gamma>0$ and
hovers around a uniquely determined metastable proportion of infectious
individuals. The proof in both cases relies on comparison to a set of
mean-field equations when the infection is widespread, and to a branching
process when the infection is sparse.
