
#19,372
In 2025
a Chinese research study reported on testing environmental samples collected from southern and northern Chinese live poultry markets during 2019–2023 for evidence of avian influenza viruses.
They examined > 64,000 samples, and found the incidence of H5, H7, and H9 influenza A detections substantially higher in southern provinces. Jiangxi, Yunnan, and Guangxi showed the highest level of environmental contamination, with positive rates of 82.3%, 49.41%, and 45.47%.
Today we have a research study into the seroprevalence of influenza A viruses among occupationally exposed individuals in the Poyang Lake area - located in Jiangxi province - which reported the highest environmental readings in the above report.
Poyang Lake is the largest freshwater lake in China, and lies beneath the East Asian-Australasian Flyway. Poyang Lake also provides a habitat for more than a million migratory birds, including endangered Siberian cranes.
Researchers tested blood from 2,437 poultry-exposed people around Poyang Lake, China, from 2018 to 2025 using hemagglutination inhibition assays. Predefined HI positivity thresholds were ≥ 1:20 for H3N8, H5N8, H5N1, H7N9, and H10N3 and ≥ 1:40 for H5N6 and H9N2.
Participants were mostly backyard poultry keepers and their households (90.3%) and live-market workers (9.7%). The median age was 62.
While HI reactivity can't conclusively prove that an individual was previously infected by a specific virus (there's always a possibility of cross-reactivity with other viruses), it does suggest that a subject might have had a mild, or subclinical, infection with that virus sometime in the past.
Admittedly, it would have been nice to see confirmatory Microneutralization (MN) testing of these samples, but they are considerably more resource intensive and technically demanding. HI titers also tend to fall faster than MN titers, and may drop below the positive cutoff within the span of a couple of years, which means that HI assays may miss older infections.
With those limitations in mind, the authors found samples meeting the study's HI thresholds were 4.43% for H5N6 and 4.39% for H9N2, with lower rates for H7N9 (2.74%), H3N8 (1.44%), H5N8 (1.27%) and H10N3 (0.26%).
First the link and abstract from the open-access study, after which I'll return with a postscript:
2018–2025 Serological study on avian influenza among occupationally exposed populations in the Poyang Lake area — the region with the highest environmental surveillance positive rate in ChinaResearch Open access
Published: 14 October 2026 Cite this article
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Chuang Nie, Yawei Li,Wenjing Xie, Ke Qian, Ting Xu, Fenglan He, Zhiqiang Deng, Wanting Wei, Yujie Hou, Xiang Tu, Tianxin Xiang & Wentao Song
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
Abstract
Background
An avian influenza virus positivity rate as high as 82.3% has been reported in Jiangxi Province, China, underscoring this region as a potential hotspot for avian influenza virus circulation. As a crucial hub for migratory birds and a region where wild birds, domestic poultry, and humans frequently overlap, Poyang Lake provides favorable ecological conditions for cross-species transmission of avian influenza viruses. This study aimed to describe the seroprevalence of antibodies against selected avian influenza virus subtypes among occupationally exposed populations at surveillance sites around Poyang Lake from 2018 to 2025, and to provide data to inform ongoing surveillance and risk assessment.
Methods
A cross-sectional serological surveillance was conducted annually during winter and spring from 2018 to 2025 in Nanchang County (Nanchang) and Duchang and Wuning Counties (Jiujiang), Jiangxi Province. Serum samples were collected from occupationally exposed individuals, including backyard poultry keepers and their household members and live poultry market workers with direct poultry contact.
Hemagglutination inhibition assays were performed by the National Influenza Center to assess antibody reactivity against the test antigens representing H5N6, H9N2, H7N9, H3N8, H10N3, H5N8, and H5N1. Predefined HI positivity thresholds were ≥ 1:20 for H3N8, H5N8, H5N1, H7N9, and H10N3 and ≥ 1:40 for H5N6 and H9N2.
Results
A total of 2,437 valid serum samples were analyzed (1,599 from Jiujiang and 838 from Nanchang). Overall, 108 samples (4.43%) met the predefined HI positivity threshold for H5N6, and 107 (4.39%) met the threshold for H9N2. During 2018–2020, 25 of 914 samples (2.74%) met the threshold for H7N9.
During 2021–2025, 22 of 1,523 samples (1.44%) met the threshold for H3N8, including 9 of 100 samples (9.00%) collected in Nanchang in the 2024 surveillance year. Four of 1,523 samples (0.26%) met the threshold for H10N3; all four were from Jiujiang in the 2024 surveillance year. Four of 314 samples (1.27%) met the threshold for H5N8 in 2020. None of the 600 samples tested for H5N1 in the 2024 and 2025 surveillance years met the predefined threshold.
Conclusions
HI antibody reactivity varied across subtypes, surveillance locations, and years among occupationally exposed participants around Poyang Lake. The H3N8 finding in Nanchang and the H10N3 finding in Jiujiang in the 2024 surveillance year warrant further investigation. H5N6 peaks in Jiujiang in 2021 and in Nanchang in 2022; H9N2 peaks in 2021 in Jiujiang and 2023 in Nanchang. HI reactivity alone does not establish subtype-specific human infection or local virus circulation. Continued serological surveillance, interpreted alongside poultry and environmental virological data, may inform risk assessment.
(Continue . . . )
We've previously looked at a number of human seroprevalence studies which have also suggested more human spillovers occur than have been reported, including:
The good news is, this strongly suggests the
50% CFR (
Case fatality rate) of H5N1 is badly overstated, since many mild infections are never counted.
Conversely, it also suggests that novel flu infections may occur far more often than previously thought, which increases the risks of viral adaptation to a human host, and provides additional opportunities for
novel/seasonal coinfection, which could lead to a reassortment.
Either way, this is a reminder that a lot more goes on with the evolution and spread of novel flu viruses than our limited surveillance might suggest.