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How can age-based vaccine allocation strategies be optimized? A multi-objective optimization framework.

Hao Wu1, Kaibo Wang2, Lei Xu2

  • 1Department of Industrial Engineering, Tsinghua University, Beijing, China.

Frontiers in Public Health
|September 26, 2022
PubMed
Summary
This summary is machine-generated.

Optimizing vaccine allocation during epidemics is crucial. This study developed a framework showing that the best COVID-19 vaccine strategy depends on effectiveness and production capacity, prioritizing different age groups accordingly.

Keywords:
SEIR modelimproved Strength Pareto Evolutionary Algorithm (SPEA2)infectious diseasemulti-objective (MO) optimizationvaccine allocation

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Area of Science:

  • Epidemiology
  • Public Health
  • Computational Biology

Background:

  • Infectious diseases significantly impact human life, with vaccines being key to epidemic control.
  • Vaccine shortages and variable effectiveness complicate optimal allocation strategies.
  • Effective vaccine distribution is critical during the early stages of an epidemic.

Purpose of the Study:

  • To propose a multi-objective optimization framework for vaccine allocation among age groups during epidemics with vaccine scarcity.
  • To minimize total disease onsets and severe cases through optimized vaccine distribution.
  • To analyze the impact of vaccine effectiveness and production capacity on optimal allocation strategies.

Main Methods:

  • A multi-objective optimization framework was developed to guide vaccine allocation.
  • An improved Strength Pareto Evolutionary Algorithm (SPEA2) was employed to solve the optimization problem.
  • A deterministic, age-stratified extended SEIR model was used to evaluate allocation strategies and their outcomes.

Main Results:

  • Optimal COVID-19 vaccine allocation strategies are highly dependent on vaccine effectiveness and production capacity.
  • Low vaccine effectiveness necessitates prioritizing the 0-19 or 65+ age groups under low capacity, and 20-49 or 50-64 groups under high capacity.
  • High vaccine effectiveness suggests prioritizing the 65+ group with low capacity and the 20-49 group with high capacity.

Conclusions:

  • The study provides a framework for optimizing vaccine allocation considering real-world constraints like production capacity and effectiveness.
  • Age-specific allocation strategies are essential for maximizing public health benefits during vaccine shortages.
  • Findings offer data-driven insights for policymakers managing vaccine distribution during infectious disease outbreaks.