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Fig. 6 | Applied Network Science

Fig. 6

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

Fig. 6

Effect of testing and different home-isolation policies. We show the Monte Carlo estimation (over 100 independent simulations) of the cumulative fraction of infections among adults (blue) and children (orange) at the end of the pandemic outbreak as a function of the children detection rate \(q_c\) and for three different values of adult detection rate, representative of low testing \(q_a=0.25\) (solid), moderate testing \(q_a=0.5\) (dashed), and massive testing \(q_a=0.8\) (dash-dotted). In (a), we utilize the family-isolation policy (Policy A). In (b), we consider a scenario in which also the class-isolation policy (Policy B) is present. The comparison of the two panels shows that the application of both policies (dashed) sensibly outperforms utilizing only A (solid). The parameters used in the simulations are listed in Table 2 and \(V=0.6\). All the simulations are done in Scenario III (Alpha variant), utilizing the average infectiousness reported in Table 2

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