# Evaluation of risk-based antigen and antibody surveillance strategies and their association with HPAI outbreaks in South Korean duck farms

**Authors:** Saleem Ahmad, Dae Sung Yoo

PMC · DOI: 10.3389/fvets.2025.1582269 · Frontiers in Veterinary Science · 2025-07-03

## TL;DR

This study evaluates South Korea's surveillance strategies for avian flu in duck farms and finds that testing frequency and location are mismatched with outbreak risks.

## Contribution

The study provides new insights into the spatial and temporal effectiveness of antigen and antibody testing in predicting and responding to HPAI outbreaks.

## Key findings

- Antigen testing frequency was significantly associated with HPAI outbreaks during high-risk periods.
- Cold spots received more testing than outbreak hotspots, indicating a misalignment in surveillance priorities.
- Increased testing during epidemic seasons did not reduce the time between tests and outbreak onset.

## Abstract

Highly pathogenic avian influenza (HPAI) continues to threaten the poultry industry, particularly in duck farms, where early detection is critical to preventing widespread outbreaks. In South Korea, risk-based antigen and antibody surveillance strategies have been implemented to enhance early warning capabilities. However, the effectiveness of these strategies—especially in terms of testing frequency, timing, and spatial alignment with outbreak risks—remains under-evaluated.

This study analyzed antigen and antibody surveillance data from South Korean duck farms between 2019 and 2022. Testing frequencies and intervals were assessed across high-risk (October–May) and low-risk (June–September) periods, as well as during non-epidemic (2019–2020) and epidemic (2020–2021 and 2021–2022) seasons. Spatial hotspot analysis (Getis-Ord Gi*) and negative binomial regression were applied to evaluate associations between test patterns and HPAI outbreak occurrence. Additionally, test-to-outbreak intervals were calculated to assess the timeliness of detection.

Antigen testing frequencies were significantly associated with HPAI outbreaks during high-risk periods (coefficient = 0.56, IRR = 1.75, p < 0.001). Hot-spot analysis revealed that cold spots received disproportionately more antigen testing than outbreak hotspots (p < 0.001), indicating a misalignment in surveillance priorities. Despite intensified testing during epidemic seasons, no significant reductions were observed in the time intervals between the last diagnostic test and outbreak onset (p > 0.05), suggesting limited improvement in early detection.

The findings highlight both the strengths and limitations of South Korea’s current HPAI surveillance strategy in duck farms. While antigen testing serves as a useful predictor of outbreak risk, the spatial and temporal mismatch between surveillance intensity and actual outbreak distribution undermines its effectiveness. A more adaptive and geographically targeted testing approach is needed to enhance outbreak preparedness and response. These results provide a foundation for optimizing future surveillance strategies to minimize the economic and public health impacts of HPAI.

## Full-text entities

- **Genes:** NEU1 (neuraminidase 1) [NCBI Gene 4758] {aka NANH, NEU, SIAL1}, IGKV5-2 (immunoglobulin kappa variable 5-2) [NCBI Gene 28907] {aka B2, IGKV52}
- **Diseases:** influenza (MESH:D007251), HPAI (MESH:D005585), infected (MESH:D007239), ID (MESH:C537985)
- **Species:** H5N6 subtype (serotype) [taxon 329376], H5N1 subtype (serotype) [taxon 102793], Harveylithon sp. 10 (species) [taxon 2934031], Anser (geese, genus) [taxon 8842], Influenza A virus (no rank) [taxon 11320], H3N8 subtype (serotype) [taxon 119211], Orthomyxoviridae (family) [taxon 11308], Homo sapiens (human, species) [taxon 9606], H9N2 subtype (serotype) [taxon 102796], H5N8 subtype (serotype) [taxon 232441], unidentified influenza virus (species) [taxon 11309], Anas platyrhynchos (duck, species) [taxon 8839]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12268706/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12268706/full.md

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Source: https://tomesphere.com/paper/PMC12268706