tetano
Editor, Senior Moderator
Open Forum Infect Dis
. 2026 Mar 23;13(4)
fag144.
doi: 10.1093/ofid/ofag144. eCollection 2026 Apr.
Serological Surveillance of Avian Influenza Virus H9N2 Subtype in Occupational Populations Exposed to Poultry Environment in China During 2018-2023
Hong Bo[SUP] 1 [/SUP], Ye Zhang[SUP] 1 [/SUP], Jie Dong[SUP] 1 [/SUP], Xiyan Li[SUP] 1 [/SUP], Weijuan Huang[SUP] 1 [/SUP], Yanhui Cheng[SUP] 1 [/SUP], Zi Li[SUP] 1 [/SUP], Hejiang Wei[SUP] 1 [/SUP], Ning Xiao[SUP] 1 [/SUP], Dayan Wang[SUP] 1 [/SUP]
Affiliations
Background: Avian influenza virus (AIV) H9N2 has a major role in the emergence of influenza pandemic. We assessed the risk of AIV H9N2 to the human population and public health.
Method: The hemagglutination inhibition method was used to screen for hemagglutinin antibodies. Microneutralization tests were performed to confirm neutralizing antibodies against the AIV H9N2 subtype. Real-time polymerase chain reaction was conducted to detect the H9 subtype in environmental samples. GraphPad Prism software was used for mapping, and STATA software was used for statistical analysis.
Results: The nationwide seroprevalence among these populations was 0.76%. Seroprevalence was compared across regions, genders, and occupational exposure sites. The seroprevalence rates for males and females showed no significant difference. Significant differences were found across regions and occupational exposure environments (P < .05). The south and southwest regions had the highest seroprevalence rates at 1.58% and 1.38%, respectively. The highest seroprevalence was observed in individuals exposed to live poultry market (1.51%). Significant regional differences in H9 nucleic acid positive rates (NAPRs) were found (P < .05), with the southwest and central regions showing the highest rates at 25.99% and 24.35%, respectively. H9 NAPR in live poultry markets (LPMs), farms, and slaughterhouses varied significantly by region (P < .05).
Conclusions: Poultry-related environments have become a key factor in AIV H9N2 infection among occupational populations. Exposure to LPM showed the highest seroprevalence among occupational groups. The distribution characteristics of H9N2 across different poultry environments increased the risk of infection in occupationally exposed populations.
Keywords: H9N2; environment; occupational populations; poultry; seroprevalence.
. 2026 Mar 23;13(4)
fag144.doi: 10.1093/ofid/ofag144. eCollection 2026 Apr.
Serological Surveillance of Avian Influenza Virus H9N2 Subtype in Occupational Populations Exposed to Poultry Environment in China During 2018-2023
Hong Bo[SUP] 1 [/SUP], Ye Zhang[SUP] 1 [/SUP], Jie Dong[SUP] 1 [/SUP], Xiyan Li[SUP] 1 [/SUP], Weijuan Huang[SUP] 1 [/SUP], Yanhui Cheng[SUP] 1 [/SUP], Zi Li[SUP] 1 [/SUP], Hejiang Wei[SUP] 1 [/SUP], Ning Xiao[SUP] 1 [/SUP], Dayan Wang[SUP] 1 [/SUP]
Affiliations
- PMID: 41923892
- PMCID: PMC13037758
- DOI: 10.1093/ofid/ofag144
Background: Avian influenza virus (AIV) H9N2 has a major role in the emergence of influenza pandemic. We assessed the risk of AIV H9N2 to the human population and public health.
Method: The hemagglutination inhibition method was used to screen for hemagglutinin antibodies. Microneutralization tests were performed to confirm neutralizing antibodies against the AIV H9N2 subtype. Real-time polymerase chain reaction was conducted to detect the H9 subtype in environmental samples. GraphPad Prism software was used for mapping, and STATA software was used for statistical analysis.
Results: The nationwide seroprevalence among these populations was 0.76%. Seroprevalence was compared across regions, genders, and occupational exposure sites. The seroprevalence rates for males and females showed no significant difference. Significant differences were found across regions and occupational exposure environments (P < .05). The south and southwest regions had the highest seroprevalence rates at 1.58% and 1.38%, respectively. The highest seroprevalence was observed in individuals exposed to live poultry market (1.51%). Significant regional differences in H9 nucleic acid positive rates (NAPRs) were found (P < .05), with the southwest and central regions showing the highest rates at 25.99% and 24.35%, respectively. H9 NAPR in live poultry markets (LPMs), farms, and slaughterhouses varied significantly by region (P < .05).
Conclusions: Poultry-related environments have become a key factor in AIV H9N2 infection among occupational populations. Exposure to LPM showed the highest seroprevalence among occupational groups. The distribution characteristics of H9N2 across different poultry environments increased the risk of infection in occupationally exposed populations.
Keywords: H9N2; environment; occupational populations; poultry; seroprevalence.