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Updated: Aug 31, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Optimal interventions in networks during a pandemic
Roland Pongou1,2, Guy Tchuente3,4, Jean-Baptiste Tondji5
1Department of Economics, University of Ottawa, 120 University Private, Social Sciences Building, Ottawa, K1N 6N5 Ontario Canada.
Optimal lockdown policies balance health and wealth. Laissez-faire approaches boost GDP but increase COVID-19 deaths, especially in vulnerable nursing homes. Political affiliation correlates with higher infection tolerance.
Area of Science:
- Public Health
- Epidemiology
- Health Economics
Background:
- Balancing public health and economic activity during pandemics is a critical challenge.
- Nursing homes represent high-risk environments for severe COVID-19 outcomes.
- Understanding the impact of policy decisions on vulnerable populations is essential.
Purpose of the Study:
- To develop and calibrate a model for optimal lockdown policies.
- To quantify the trade-offs between population health and economic growth.
- To analyze the differential impact of policies on nursing homes based on network structure and socioeconomic factors.
Main Methods:
- Developed an optimal lockdown policy model for a social planner.
- Utilized unique data on US nursing home networks for model calibration.
- Employed comparative statics analyses and empirical validation.
Main Results:
- Laissez-faire policies increase GDP growth but also COVID-19 deaths in nursing homes.
- Detrimental effects are amplified in peripheral, poorer, and for-profit nursing homes.
- States with Republican governors show higher tolerable incidence, leading to increased deaths.
Conclusions:
- Policy choices significantly impact both economic indicators and public health outcomes.
- Network structure and socioeconomic factors mediate the effectiveness and consequences of public health policies.
- Political factors influence the acceptable level of infection spread, with associated mortality risks.
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