Defining optimal vaccine features for pandemic preparedness: An individual-based model bridging within- and between-host dynamics.
by Xia Y., Alexandre M., Thiébaut R, Maheu-Giroux M, and Prague M.
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The Study Xia et al. 2026 highlights which vaccine feature can help stop the next "Disease X" respiratory pandemic before it spreads. Researchers developed a powerful simulation that links how viruses behave within-hosts to how they spread between-hosts. Technically, the model includes parameters like the antibody concentration needed for 50% protection, the effect on clinical outcome during infection and waning immunity. Results show that vaccines lasting longer and working at lower antibody levels are the most effective at cutting transmission. This work offers a roadmap for designing next-generation vaccines that could keep future outbreaks under control.
A framework to define optimal vaccine features for pandemic preparedness.
