ABSTRACT
BACKGROUND: Governments and health policymakers are now looking for strategies to lift the COVID-19 lockdown, while reducing risk to the public. METHODS: We propose the population attributable risk (PAR) as an established epidemiological tool that could support decision-making through quickly estimating the main benefits and costs of various exit strategies. RESULTS: We demonstrate the feasibility of use of PAR using pandemic data, that were publicly available in mid-May 2020 from Scotland and the US, to estimate the proportion of COVID-19 hospital admissions which might be avoided, and the proportion of adverse labour market effects - for various scenarios - based on maintaining the lockdown for those of certain ages with and without comorbidities. CONCLUSION: These calculations could be refined and applied in different countries to inform important COVID-19 policy decisions, using routinely collected data.