
During a pandemic, there are conflicting demands arising from public health and economic cost. Lockdowns are a common way of containing infections, but they adversely affect the economy. We study the question of how to minimise the economic damage of a lockdown while still containing infections. Our analysis is based on the SIR model, which we analyse using a clock set by the virus. This use of the "virus time" permits a clean mathematical formulation of our problem. We optimise the economic cost for a fixed health cost and arrive at a strategy for navigating the pandemic. This involves adjusting the level of lockdowns in a controlled manner so as to minimise the economic cost.
5 pages, 4 figures, revised in light of referee's comments, To appear as a Letter in PRE
FOS: Biological sciences, Quarantine, Populations and Evolution (q-bio.PE), Humans, COVID-19, Quantitative Biology - Populations and Evolution, Pandemics
FOS: Biological sciences, Quarantine, Populations and Evolution (q-bio.PE), Humans, COVID-19, Quantitative Biology - Populations and Evolution, Pandemics
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