Person:

Mina, Michael

The role of children in the transmission of SARS-CoV-2 remains unclear, and existing data are yet to provide a consistent explanation for the markedly skewed age distribution of COVID-19 cases. Whereas early data from symptomatic case confirmations suggested a lack of disease in children, subsequent contact tracing studies have found that children are likely to be infected. Governments are now facing immense pressure to weigh the public health benefit of interventions such as school closure against the significant economic disruption they impose. To motivate the discussion of age-stratified social distancing measures, we discuss potential biological mechanisms by which a skewed age distribution of cases may be generated and show through mathematical modelling how different age-targeted interventions are likely to affect the epidemic final size. We propose that identifying age-dependent transmissibility, in addition to susceptibility, will be essential to understand which social distancing measures are likely to be the most impactful going forward.