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Analysis of optimal lockdown in integral economic-epidemic model
Natali Hritonenko1, Yuri Yatsenko2
1Department of Mathematics, Prairie View A&M University, Prairie View, TX 77446 USA.
Abstract:
We analyze the optimal lockdown in an economic-epidemic model with realistic infectiveness distribution. The model is described by Volterra integral equations and accurately depicts the COVID-19 infectivity pattern from clinical data. A maximum principle is derived, and a qualitative dynamic analysis of the optimal lockdown problem is provided over finite and infinite horizons. We analytically prove and economically justify the possibility of an endemic scenario when the infection rate begins to climb after the lockdown ends.
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