  Multi-strain competition on networks is observed in many contexts, including
infectious disease ecology, information dissemination or behavioral adaptation
to epidemics. Despite a substantial body of research has been developed
considering static, time-aggregated networks, it remains a challenge to
understand the transmission of concurrent strains when links of the network are
created and destroyed over time. Here we analyze how network dynamics shapes
the outcome of the competition between an initially endemic strain and an
emerging one, when both strains follow a susceptible-infected-susceptible
dynamics, and spread at time scales comparable with the network evolution one.
Using time-resolved data of close-proximity interactions between patients
admitted to a hospital and medical health care workers, we analyze the impact
of temporal patterns and initial conditions on the dominance diagram and
coexistence time. We find that strong variations in activity volume cause the
probability that the emerging strain replaces the endemic one to be highly
sensitive to the time of emergence. The temporal structure of the network
shapes the dominance diagram, with significant variations in the replacement
probability (for a given set of epidemiological parameters) observed from the
empirical network and a randomized version of it. Our work contributes towards
the description of the complex interplay between competing pathogens on
temporal networks.
