Many progresses in the understanding of epidemic spreading models have beenobtained thanks to numerous modeling efforts and analytical and numericalstudies, considering host populations with very different structures andproperties, including complex and temporal interaction networks. Moreover, anumber of recent studies have started to go beyond the assumption of an absenceof coupling between the spread of a disease and the structure of the contactson which it unfolds. Models including awareness of the spread have beenproposed, to mimic possible precautionary measures taken by individuals thatdecrease their risk of infection, but have mostly considered static networks.Here, we adapt such a framework to the more realistic case of temporal networksof interactions between individuals. We study the resulting model by analyticaland numerical means on both simple models of temporal networks and empiricaltime-resolved contact data. Analytical results show that the epidemic thresholdis not affected by the awareness but that the prevalence can be significantlydecreased. Numerical studies highlight however the presence of very strongfinite-size effects, in particular for the more realistic synthetic temporalnetworks, resulting in a significant shift of the effective epidemic thresholdin the presence of risk awareness. For empirical contact networks, theawareness mechanism leads as well to a shift in the effective threshold and toa strong reduction of the epidemic prevalence.
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