Abstract
The COVID-19 pandemic is still in its early stages and given the speed and magnitude of local outbreaks it is urgent to understand how mitigation measures translate into changes in key epidemiological and clinical outcomes. Here, we employ a mathematical model to explore the short-term consequences of lowering the reproduction number ℛ0 and delaying measures on total infections and fatalities. The positive implications of mitigation generally accrue as these measures are adopted early, with the most striking effects seen when the reproductive number is lowered to a level ℛC≈1.0. As the delay in adopting measures exceeds approximately the halfway point to the peak of an outbreak, the effects of lowering ℛ0 markedly decrease. Aiming for reproduction numbers close to 1.0 can substantially reduce fatality probabilities over short time scales, particularly for larger populations. We conclude that research is urgently needed on how mitigation measures impact ℛ0 and how these can be optimized so as to achieve ℛC≈1.0 whilst supporting individual freedoms, society and the economy.