Alternating quarantine for sustainable epidemic mitigation.

Area of Science:

• Epidemiology
• Public Health Policy
• Mathematical Modeling

Background:

• Social distancing and lockdowns are primary responses to epidemics but have severe socioeconomic impacts.
• Existing interventions often fail to balance disease control with economic continuity.

Purpose of the Study:

• To propose and evaluate an alternating quarantine strategy to mitigate epidemic spread.
• To assess the strategy's effectiveness in reducing transmission while maintaining socioeconomic activity.

Main Methods:

• Simulated an alternating quarantine strategy with weekly population rotation between activity and lockdown.
• Modeled infectious interactions and transmission dynamics under this strategy.
• Compared outcomes to a full population lockdown scenario.

Main Results:

• The alternating quarantine strategy dramatically reduced transmission, comparable to a full lockdown.
• Socioeconomic continuity was sustained at approximately 50% capacity.
• Weekly alternations synchronized with disease timelines, improving isolation of infected individuals.

Conclusions:

• Alternating quarantine offers a viable public health intervention for epidemics.
• It effectively balances disease control with socioeconomic sustainability.
• The strategy shows particular promise for diseases like COVID-19 with specific disease timelines.