Authors: Félix Foutel-Rodier, Arthur Charpentier, Hélène Guérin

Published on: June 23, 2023

Impact Score: 8.0

Arxiv code: Arxiv:2306.13633

Summary

• What is new: This research introduces an individual-based model capturing memory effects for transmission rates and immunity, analyzing the impact of recurrent vaccination and waning immunity on disease endemic equilibrium.
• Why this is important: The challenge in understanding how different vaccination strategies affect the long-term establishment of diseases within populations.
• What the research proposes: An innovative individual-level stochastic model is developed to evaluate the effect of vaccination frequency and immunity duration, providing criteria for achieving an endemic equilibrium.
• Results: Identified optimal vaccination strategies involve evenly spaced booster doses. A critical population fraction for vaccination policy success is defined, highlighting the effectiveness of fair vaccine distribution.

Technical Details

Technological frameworks used: Individual-based modeling incorporating stochasticity and memory effects

Models used: Stochastic models for endemic equilibrium with criteria for vaccine policy outcomes

Data used: Simulations based on population dynamics, immunity waning, and vaccination schedules

Potential Impact

Pharmaceutical, healthcare policy, and public health sector could benefit or need to adapt based on these findings. Companies involved in vaccine distribution and scheduling software may also see new opportunities.

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