Supplementary file 1_Molecular epidemiology and characterization of goose polyomavirus in

Molecular epidemiological data on Goose hemorrhagic polyomavirus (GHPV) collected from 83 farms across eight Chinese provinces between March 2023 and April 2025. The dataset includes results from PCR screening of 1,902 samples for nine waterfowl pathogens, virus isolation attempts, and full-genome sequencing of isolates. It was authored by Yadong Gao and released under a CC-BY-4.0 license in May 2026.

Use Cases

• Analyze GHPV prevalence and farm-level infection patterns based on nationwide surveillance data.
• Investigate co-infection dynamics, particularly with Goose circovirus (GoCV), based on adult goose infection rates.
• Study host-virus interactions and breed susceptibility based on experimental inoculation results across Landes, Sichuan White, and Sanhua Hybrid geese.
• Conduct genomic comparative analysis based on VP1 gene nucleotide homology data among global strains.

Strengths

• Nationwide surveillance covering 83 farms and 1,902 samples provides a substantial sample size.
• Clear temporal coverage from March 2023 to April 2025 allows for longitudinal analysis.
• Includes results from PCR screening for nine pathogens and full-genome sequencing, offering multi-faceted data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the eight surveyed Chinese provinces.

Provenance

Source

figshare

Collection Method

Nationwide epidemiological surveillance involving PCR screening, bacteriological culture, virus isolation, and genome sequencing.

Time Range

March 2023 to April 2025

Freshness

Last updated 2026-05-12 14:31:31; freshness should be verified.

Geography

Eight provinces in China