If Long-Term Suppression is not Possible, how do we Minimize Mortality for Infectious Disease Outbreaks?

Area of Science:

• Epidemiology
• Computational modeling
• Public health policy

Background:

• Emerging pathogens necessitate rapid containment strategies, ideally through non-pharmaceutical interventions (NPIs) or until medical countermeasures are available.
• If containment is not feasible, the objective shifts to managing transmission for population immunity with minimal harm.

Purpose of the Study:

• To explore optimal NPI strategies in non-containment scenarios.
• To minimize mortality when pathogen risk varies across age groups.

Main Methods:

• A simple computational model was employed.
• Simulations focused on NPI selection in a non-containment setting with age-stratified mortality risk.

Main Results:

• Sustained, strong NPIs are superior if achievable.
• Unsustainable strong NPIs may be less effective than weaker, sustained interventions.
• Targeting NPIs by age can significantly alter mortality outcomes, even with similar infection rates.

Conclusions:

• Prioritize strong, sustainable NPIs for infection and mortality prevention.
• In scenarios where interventions are unsustainable, selectively allowing infections in lower-risk populations may reduce overall mortality.
• Age-targeted NPIs are crucial for optimizing public health outcomes when universal containment fails.