Using neural networks to calibrate agent based models enables improved regional evidence for vaccine strategy and policy
Description
Distribution and administration strategy are critical to successful population immunization efforts. Agent-based modeling (ABM) can reflect the complexity of real-world populations and can experimentally evaluate vaccine strategy and policy. However
