ArticleInfluenza and other respiratory viruses2025
Tracking Seasonal Influenza Trends in South Tyrol During 2022/2023 Using Genomic Surveillance Data.
Article in Influenza and other respiratory viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Post-Pandemic Genomic Diversity and Lineage Turnover of Influenza Viruses in Mexico During 2022-2023.Viruses · 2026Article
- Influenza virus research in an era of emerging respiratory threats: host-virus interactions, surveillance technologies, antiviral management and resistance, and vaccine preparedness.Frontiers in microbiology · 2026Review
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7 authors.
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Abstract
backgroundInfluenza seasons are characterized by a complex interplay of co-circulating strains with high spatial and temporal heterogeneities. Surveillance is crucial for monitoring the spread and evolution of the virus and design effective public health response strategies.
aimWe combined epidemiological, virological, and genomic surveillance data to provide a comprehensive analysis of influenza subtypes circulating in the South Tyrol region (Italy) during season 2022/2023, leveraging phylogenetic and phylodynamic approaches.
methodsClinical samples were collected from patients exhibiting influenza-like symptoms and evaluated by molecular diagnostics. Whole genome sequencing was conducted, and the hemagglutinin (HA) gene sequences were used for phylogenetic analysis. A birth-death skyline model was applied to estimate strain-specific effective reproduction numbers (Re) and attack rates.
resultsOut of 4891 samples tested, 862 tested positive for influenza, of which 224 genomes were sequenced. Phylogenetic analysis of HA gene revealed A(H3N2) strains predominantly clustering in clade 3C.2a1b.2a.2b, followed by 3C.2a1b.2a.1b. A(H1N1pdm09) strains predominantly clustered in clade 6B.1A.5a.2a. Exclusive circulation of B (Victoria) subtype strains aligned with the global trend, all falling within clade V1A.3a.2. Phylogenetic analyses indicate that the strains isolated in the South Tyrol region closely resembled those circulating in the rest of Italy and Austria. Re peaked at 1.16-1.35 (95%CI) for A(H3N2), 1.06-1.34 for A(H1N1pdm09) and 1.02-1.29 for B (Victoria). 95%CI of attack rates were 6.3%-33.5% for A(H3N2), 0.6%-5.0% for A(H1N1pdm09), and 0.8%-6.5% for B (Victoria).
conclusionEpidemiological estimates from traditional surveillance data can be corroborated by those derived from genomic sequencing, providing more robust assessments of viral transmissibility and attack rates with limited additional effort.
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