Ferret Challenge Trial Meta-Analysis for H5N1 Vaccine Cross-Protection

A 2025 systematic review and meta-analysis synthesizing data from 35 studies comprising 157 ferret challenge trials. The dataset, authored by IShin Tseng and published on figshare, evaluates the cross-protective efficacy of seasonal influenza vaccines against lethal H5N1 infection. It includes meta-analysis results comparing vaccine efficacy for different vaccine types against H5N1-related mortality.

Use Cases

• Assessing cross-protection potential of seasonal vaccines based on meta-analysis of ferret challenge trials.
• Comparing vaccine efficacy (VE) between N1-containing and non-N1-containing vaccines based on reported VE percentages and confidence intervals.
• Evaluating the relationship between seroprotection (neutralizing antibody titre ≥1:40) and mortality outcomes based on the described trial groupings.

Strengths

• Includes data from 35 studies and 157 individual ferret trials.
• Reports specific vaccine efficacy percentages with 95% confidence intervals for different vaccine groups.
• Conducted systematic search across PubMed, Embase, and Web of Science with a defined protocol (PROSPERO #CRD42024520346).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is derived from animal (ferret) models; direct applicability to humans requires further study.

Provenance

Source

figshare

Collection Method

Systematic review and meta-analysis of published ferret studies.

Time Range

Studies published up to 5 July 2025.

Freshness

Last updated 2026-04-15 19:18:41; freshness should be verified.