Influenza A(H1N1) Evolutionary Trajectory and Co-Detection Records

11,848 publications were analyzed to map evidence on Influenza A(H1N1) from 2000 to 2025. Xinrui Cao integrated bibliometric analysis, expert curation, and sequence data to characterize HA mutational patterns and reported co-detections. The study identifies a post-2010 shift in the HA mutational landscape.

Use Cases

• Analyze recurrent HA substitutions like S13, S146, S160, and S202 to model viral evolution.
• Map literature-derived co-detection records to identify frequently reported co-pathogens such as RSV and SARS-CoV-2.
• Use expert-guided curation to prioritize specific mutations like G219A in Eurasian avian-like strains.
• Compare HA homology models to examine conformational flexibility in the aa190–aa226 segment.
• Evaluate bibliometric trends across 11,848 publications to identify research priorities and evidence gaps.

Strengths

• Analyzes 11,848 unique publications from PubMed, Web of Science, and Scopus.
• Integrates GenBank-derived HA sequences and Swiss-Model homology models.
• Covers a 25-year time range from 2000 to 2025.

Limitations

• Co-detection proportions reflect heterogeneous reporting composition, not population-level prevalence.
• Dataset size is 45.6 KB, indicating limited scope and likely aggregated summary data.
• Specific mutation prioritization (e.g., G219A) is based on protocol-constrained expert annotation, not algorithm-derived signals.

Provenance

Source

figshare

Collection Method

Evidence-mapping synthesis integrating bibliometric analysis, expert-guided curation, and sequence/structure-informed interpretation.

Time Range

2000–2025

Freshness

Last updated in March 2026.

Geography

Global focus with a China-specific module.