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Fig. 8 | Applied Network Science

Fig. 8

From: A multi-layer network model to assess school opening policies during a vaccination campaign: a case study on COVID-19 in France

Fig. 8

Role of the negative exponent of the power-law distribution in the ADNs. In (a), we show the temporal evolution of the number of infected children and adults (averaged over 10 runs), for two different choices of the power-law exponent. In (b), we show the peak of the epidemic prevalence (estimated over 100 runs), for increasing values of the negative exponent of the power law. All simulations are performed in the absence of vaccination \(V=0\) for Scenario I (original strain). The parameters used in the simulations are listed in Table 2, \(q_a=0.25\), and \(q_c=0.12\)

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