Mapping social distancing measures to the reproduction number for COVID-19

Background In the absence of a vaccine, SARS-CoV-2 transmission has been controlled by preventing person-to-person interactions via social distancing measures. In order to re-open parts of society, policy-makers need to consider how combinations of measures will affect transmission and understand the trade-offs between them. Methods We use age-specific social contact data, together with epidemiological data, to quantify the components of the COVID-19 reproduction number. We estimate the impact of social distancing policies on the reproduction number by turning contacts on and off based on context and age. We focus on the impact of re-opening schools against a background of wider social distancing measures. Results We demonstrate that pre-collected social contact data can be used to provide a time-varying estimate of the reproduction number ( R ). We find that following lockdown (when R= 0.7 (95% CI 0.6, 0.8)), opening primary schools as a modest impact on transmission ( R = 0.89 (95% CI 0.82 − 0.97)) as long as other social interactions are not increased. Opening secondary and primary schools is predicted to have a larger impact ( R = 1.22, 95% CI 1.02 − 1.53)). Contact tracing and COVID security can be used to mitigate the impact of increased social mixing to some extent, however social distancing measures are still required to control transmission. Conclusions Our approach has been widely used by policy-makers to project the impact of social distancing measures and assess the trade-offs between them. Effective social distancing, contact tracing and COVID-security are required if all age groups are to return to school while controlling transmission.