Author: Nicholas G Davies; Petra Klepac; Yang Liu; Kiesha Prem; Mark Jit; Rosalind M Eggo
Title: Age-dependent effects in the transmission and control of COVID-19 epidemics Document date: 2020_3_27
ID: 8f76vhyz_9
Snippet: To fully explore the effect of school closure we simulated 3 months of school closures with varying infectiousness of subclinical cases, at either 0, 0.25, 0.5 or 0.75 times the infectiousness of clinical cases ( Fig 3d) . We found that school closures decreased peak incidence slightly for influenza-like infections, and delayed the peak substantially. For COVID-19 epidemics, the delay and decrease of the peak was smaller, and this was especially .....
Document: To fully explore the effect of school closure we simulated 3 months of school closures with varying infectiousness of subclinical cases, at either 0, 0.25, 0.5 or 0.75 times the infectiousness of clinical cases ( Fig 3d) . We found that school closures decreased peak incidence slightly for influenza-like infections, and delayed the peak substantially. For COVID-19 epidemics, the delay and decrease of the peak was smaller, and this was especially the case in Bulawayo, which has the highest proportion of children (Fig 3e) .
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