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Social influencers reduce infection burden and modify epidemic lag in group-structured populations
Can digital (social media) influencers affect health behaviours enough to modify the course of an epidemic? For the first time, we test the hypothesis that their influence is sufficient to generate tangible effects on epidemics. We build computer simulations that incorporate small nudges from digital influencers into an epidemic to test how competing influence messages relating to health-protective behaviours affect the spread of those behaviours in a population during an epidemic, thus altering disease dynamics and infection outcomes. Digital influencers consistently affected peak and total infections. Health-protective influence flattened the epidemic curve despite equal anti-protective influence.