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Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS.

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Pandemic management can balance health and economy using the DAEDALUS model. This strategy optimizes economic output while controlling infections, preventing hospital overload and allowing essential services to continue.

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Area of Science:

  • Epidemiology
  • Health Economics
  • Computational Modeling

Background:

  • Pandemic response requires balancing public health with economic stability.
  • Previous models often lacked detailed economic sector analysis and supply chain integration.
  • SARS-CoV-2 (COVID-19) highlighted the need for nuanced mitigation strategies.

Purpose of the Study:

  • To develop and apply the DAEDALUS model, integrating epidemiological and economic factors.
  • To identify pandemic mitigation strategies that optimize economic production and minimize health impact.
  • To assess the economic benefits of targeted versus blanket lockdown measures.

Main Methods:

  • Integrated dynamic epidemiological and multi-sector economic modeling (DAEDALUS).
  • Modeled SARS-CoV-2 transmission with sectoral heterogeneity and supply chain dynamics.
  • Differentiated economic sector closures based on transmission contribution and essential service provision.

Main Results:

  • The DAEDALUS model identified targeted mitigation strategies.
  • In a UK application, targeted strategies yielded economic gains of £161-£193 billion over six months compared to blanket lockdowns.
  • The model demonstrated that essential services and low-transmission sectors could remain active.

Conclusions:

  • DAEDALUS offers a framework for optimizing pandemic response by balancing health and economic outcomes.
  • Targeted mitigation strategies are economically superior to broad lockdowns.
  • The model's flexibility allows application to various pandemics with different characteristics.