H1N1 Influenza Evolutionary Trajectory and Co-detection Records (2000-2025)

An integrated evidence-mapping synthesis analyzes the evolutionary dynamics and reported co-detections of human influenza A(H1N1) virus from 2000 to 2025. The work integrates 11,848 unique publications with GenBank-derived hemagglutinin sequences and expert-guided curation. Xinrui Cao authored this study, which was last updated in March 2026.

Use Cases

• Analyze shifts in the HA mutational landscape, such as substitutions at sites S13, S146, S160, and S202, for evolutionary trajectory modeling.
• Identify frequently reported co-pathogens like RSV and SARS-CoV-2 from literature-derived co-detection records for multiplex diagnostic research.
• Investigate structurally flexible HA segments, like residues aa190-aa226, for insights into receptor-binding microenvironment changes.
• Examine expert-prioritized mutations, such as G219A in Eurasian avian-like H1N1 strains, for hypothesis generation in receptor-binding region studies.

Strengths

• Integrates 11,848 unique publications from major databases (PubMed, Web of Science, Scopus).
• Covers a 25-year temporal range (2000-2025) for longitudinal analysis.
• Combines bibliometric analysis with GenBank sequence data and expert-guided curation.

Limitations

• The dataset is a 264.5 KB document, offering a synthesized overview rather than raw, large-scale sequence or clinical data.
• Literature-derived co-detection records reflect heterogeneous study reporting composition, not population-level prevalence.
• Specific row counts for mutation or co-detection records are not provided within the document.

Provenance

Source

figshare, authored by Xinrui Cao.

Collection Method

Evidence-mapping synthesis integrating bibliometric analysis of 15,028 retrieved records, expert curation, and sequence/structure-informed interpretation.

Time Range

2000 to 2025.

Freshness

Last updated March 2026, covering literature through 2025.

Geography

Global scope with a specific China-focused module for certain strain analysis.