?:abstract
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Network scientists have proposed that infectious diseases involving person-to-person transmission could be effectively halted by interventions targeting a minority of highly connected individuals Could this strategy be effective in combating a virus partly transmitted in close-range contact, as many believe SARS-CoV-2 to be? Effectiveness critically depends on high between-person variability in the number of close-range contacts We analyzed population survey data showing that the distribution of close-range contacts across individuals is indeed characterized by a small proportion of individuals reporting very high frequency contacts Strikingly, we found that the average duration of contact is mostly invariant in the number of contacts, rein-forcing the criticality of hubs We simulated a population embedded in a network with empirically observed contact frequencies Simulations showed that targeting hubs robustly improves containment © 2020, University of Surrey All rights reserved
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