Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Complex vaccination strategies prevent the emergence of vaccine resistance

Simón A. Rella, Yuliya Kulikova, Aygul R. Minnegalieva, Fyodor A. Kondrashov

Evolution · 2024

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Summary

This modelling study examines how vaccination strategy design can prevent the emergence of vaccine-resistant pathogen variants. The authors find that single-epitope vaccines fail to prevent vaccine escape, full-epitope vaccines work only when pathogen evolution is slow, and a bet-hedging strategy of randomly rotating between epitope-specific vaccines is most effective for controlling pathogens with low infection rates and high evolutionary rates. The findings suggest that complex, adaptive vaccination strategies may be superior to single-vaccine approaches for long-term disease control in livestock populations with near-universal vaccination coverage.

UK applicability

The findings are potentially relevant to UK livestock vaccination policy, particularly for endemic or emerging diseases where high vaccination coverage is achievable. The recommendation for complex vaccination strategies could inform future guidance on livestock immunisation programmes, though practical implementation would depend on the availability of multiple epitope-specific vaccines and administrative feasibility.

Key measures

Efficacy of vaccine resistance prevention under different vaccination strategies, pathogen evolution rates, and infection rates; applicability to livestock vaccination programmes

Outcomes reported

The study modelled the effectiveness of different vaccination strategies in preventing vaccine resistance evolution in pathogens with multiple epitopes. It compared single-epitope vaccines, full-epitope vaccines, and bet-hedging strategies (random rotation of epitope-specific vaccines) across varying pathogen evolution and infection rates.

Theme
General food systems / other
Subject
Antimicrobial resistance
Study type
Research
Study design
Mathematical modelling study
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Intensive livestock
DOI
10.1093/evolut/qpae106
Catalogue ID
SNmov0h47n-rvg26i

Topic tags

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