Staggered release policies for COVID-19 control: Costs and benefits of relaxing restrictions by age and risk

Henry Zhao, Zhilan Feng

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

Lockdown and social distancing restrictions have been widely used as part of policy efforts aimed at controlling the ongoing COVID-19 pandemic. Since these restrictions have a negative impact on the economy, there exists a strong incentive to relax these policies while protecting public health. Using a modified SEIR epidemiological model, this paper explores the costs and benefits associated with the sequential release of specific groups based on age and risk from lockdown and social distancing measures. The results in this paper suggest that properly designed staggered-release policies can do better than simultaneous-release policies in terms of protecting the most vulnerable members of a population, reducing health risks overall, and increasing economic activity.

Original languageEnglish (US)
Article number108405
JournalMathematical Biosciences
Volume326
DOIs
StatePublished - Aug 2020

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Applied Mathematics

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