More australian modelling, this time sydney uni
https://arxiv.org/pdf/2003.10218v2....GWC9Ew9iBEWRSJwAWVPpU9KgfB736ev8D5-zeATNC5e7c
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baseline assumption that R0 = 2.4, while examining values between 2.0 and 2.6 [26]. In our model, R0 was investigated in the range between 1.6 and 2.8, by varying a scaling factor κ responsible for setting the contagiousness of the simulated epidemic, as explained in Appendix C [14, 16]. The value of
R0 = 2.27 κ = 2.75)
School closures: SC Adding school closures to the case isolation approach also does not achieve a significant reduction in the overall attack rate (Fig. 3). While the peaks of both incidence and prevalence are delayed by about two weeks (15 days for both incidence and prevalence), due to a slower growth rate of cumulative incidence, their magnitudes remain practically the same. We also traced the dynamics resulting from SC strategy for two specific age groups: children and individuals over 65 years old, shown by Fig. 4 and 5. The two-week delays in occurrence of the peaks are observed across both age groups, suggesting that there is a strong concurrence in the disease spread across these age groups. We also observe that, under this strategy, there is no difference in the magnitude of the incidence peak for the older age group. Interestingly, for children, the magnitude of the incidence peak increases by about 8% under the SC strategy coupled with case isolation, shown by Fig. 4. This may be explained by increased interactions of children during various household and community social mixing, when schools are closed. In short, the only tangible benefit of school closures, coupled with case isolation, is
in delaying the epidemic peak by two weeks, at the expense of a slight increase in the contribution of children to the incidence peak. Given other societal costs of school closures (e.g., drawing their parents employed in healthcare and other critical infrastructure away from work), this strategy may be less effective than previously suggested (e.g., school closures are considered an important part of pandemic influenza response). There is, nevertheless, one more possible benefit of school closures, discussed in the context of the overall social distancing, as described below.
Australian context, early April publication 24 million software agent model based upon the Australian census.
Unlike flu, it seems school closure would slightly increase child covid19 infection. (Again, australian scenario)