The Impact of the Closure of the Live Poultry Market due to COVID-19 on the Avian Influenza Virus in Nanchang, Jiangxi Province, China

Guo, Jin; Song, Wentao; Ni, Xiansheng; Zhou, Kun; Liu, Wei; Wen, Xin; He, Fenglan; Tong, Xiaoqin; Fan, Guoyin; Deng, Zhiqiang; Liao, Zheng; Chen, Haiying; Chen, Shengen

doi:10.4269/ajtmh.21-0732

Cited by 4 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because of the large number of live birds kept together, the virus spread rapidly among the birds. Similar results were also found by Guo, Song ( 38 ) in LBMs in China. On the other hand, in 2020, the Government of Bangladesh approved an H9N2 vaccination (CEVAC NEW FLU H9K) ( 39 ).…”

Section: Discussionsupporting

confidence: 90%

Patterns and risk factors of avian influenza A(H5) and A(H9) virus infection in pigeons and quail at live bird markets in Bangladesh, 2017–2021

Islam

Amin

et al. 2022

Front. Vet. Sci.

View full text Add to dashboard Cite

The avian influenza virus (AIV) impacts poultry production, food security, livelihoods, and the risk of transmission to humans. Poultry, like pigeons and quail farming, is a growing sector in Bangladesh. However, the role of pigeons and quails in AIV transmission is not fully understood. Hence, we conducted this study to investigate the prevalence and risk factors of AIV subtypes in pigeons and quails at live bird markets (LBMs) in Bangladesh. We collected oropharyngeal and cloacal swab samples from 626 birds in 8 districts of Bangladesh from 2017 to 2021. We tested the swab samples for the matrix gene (M gene) followed by H5, H7, and H9 subtypes using real-time reverse transcriptase-polymerase chain reaction (rRT-PCR). We then used exploratory analysis to investigate the seasonal and temporal patterns of AIV and a mixed effect logistic model to identify the variable that influences the presence of AIV in pigeons and quails. The overall prevalence of AIV was 25.56%. We found that the prevalence of AIV in pigeons is 17.36%, and in quail is 38.75%. The prevalence of A/H5, A/H9, and A/H5/H9 in quail is 4.17, 17.92, and 1.67%, respectively. Furthermore, the prevalence of A/H5, A/H9, and A/H5/H9 in pigeons is 2.85, 2.59, and 0.26%. We also found that the prevalence of AIV was higher in the dry season than in the wet season in both pigeons and quail. In pigeons, the prevalence of A/untyped (40%) increased considerably in 2020. In quail, however, the prevalence of A/H9 (56%) significantly increased in 2020. The mixed-effect logistic regression model showed that the vendors having waterfowl (AOR: 2.13; 95% CI: 1.04–4.33), purchasing birds from the wholesale market (AOR: 2.96; 95% CI: 1.48–5.92) instead of farms, mixing sick birds with the healthy ones (AOR: 1.60; 95% CI: 1.04–2.45) and mingling unsold birds with new birds (AOR: 3.07; 95% CI: 2.01–4.70) were significantly more likely to be positive for AIV compared with vendors that did not have these characteristics. We also found that the odds of AIV were more than twice as high in quail (AOR: 2.57; 95% CI: 1.61–4.11) as in pigeons. Furthermore, the likelihood of AIV detection was 4.19 times higher in sick and dead birds (95% CI: 2.38–7.35) than in healthy birds. Our study revealed that proper hygienic practices at the vendors in LBM are not maintained. We recommend improving biosecurity practices at the vendor level in LBM to limit the risk of AIV infection in pigeons and quail in Bangladesh.

show abstract

Section: Discussionsupporting

confidence: 90%

Patterns and risk factors of avian influenza A(H5) and A(H9) virus infection in pigeons and quail at live bird markets in Bangladesh, 2017–2021

Islam

Amin

et al. 2022

Front. Vet. Sci.

View full text Add to dashboard Cite

show abstract

“… 2 , 3 , 4 , 5 Since the local H7N9‐ and H10N8‐associated cases were reported during 2013–3014, multiple measures including temporary shutdown of wild‐bird markets and enhanced monthly monitoring were implemented in Nanchang, China. 6 , 7 After the outbreak of COVID‐19, the ILI surveillance network also functioned to monitor SARS‐Cov‐2 for all ILI cases from the local sentinel hospitals.…”

mentioning

confidence: 99%

Persistent predominance of the Victoria lineage of influenza B virus during COVID‐19 epidemic in Nanchang, China

Zhou,

Lin,

et al. 2023

Influenza Resp Viruses

View full text Add to dashboard Cite

The sentinel hospital‐based influenza‐like illness (ILI) surveillance network was established in China since the 2009 H1N1 pandemic. This network plays important roles in monitoring influenza virus variation and identifying novel respiratory pathogens. In this study, we characterized the pathogen spectrum pattern (PSP) of ILI based on three sentinel hospitals and analyzed the significant change of PSP during the COVID‐19 epidemic. The notable change of influenza virus spectrum was observed since the beginning of COVID‐19 outbreak, and we found persistent domination of Victoria lineage of influenza B virus and “extinction” of A/H1N1, A/H3N2, and B/Yamagata during the dynamic Zero‐COVID‐19 pandemic in Nanchang, China. However, these strains intermittently co‐circulated before the COVID‐19.

show abstract

Effect of Nonpharmaceutical Interventions in Preventing COVID-19 on the Circulation of Avian Influenza Virus in Wuhan, Hubei Province, China

Wu,

Kong,

Zhang

et al. 2024

Transboundary and Emerging Diseases

View full text Add to dashboard Cite

Background. In late 2019, several medical institutions in Wuhan, Hubei Province, China, reported cases of unexplained pneumonia. A novel coronavirus was isolated from human airway epithelial cells causing coronavirus disease-2019 (COVID-19). In recent years, many nonpharmaceutical interventions (NPIs) have been implemented to stop COVID-19 epidemic. This study aimed to explore the effect of NPIs on the circulation of avian influenza virus (AIV) in Wuhan. Materials and Methods. External environmental samples were collected and subjected to viral RNA extraction. Real-time quantitative polymerase chain reaction was used to detect the H5, H7, and H9 subtypes of AIV. Statistical analyses were performed using the chi-square test and binary logistic regression in SPSS 20.0 software. Results. A total of 2,451 external environmental samples were collected from seven districts from 2018 to 2022 in Wuhan, comprising 1,041 samples collected before COVID-19 and 1,410 samples after COVID-19. After COVID-19, the positive rate of AIV decreased significantly with the implementation of NPIs. The dominant subtype was the H9 subtype, followed by the H5 subtype. The positive rates of AIV in live poultry markets and poultry free-range sites were reduced significantly through the implementation of NPIs. Among the different sample types, higher positive rates of AIV were found in chopping boards, sewage, and cages. The positive rate of AIV was higher in trafficked source samples than that in autotrophic source samples. Conclusions. This study identified the characteristics of AIV in terms of different districts, surveillance sites, sample types, and bird sources in Wuhan. This study conducted a multifactorial analysis of the factors affecting AIV infection and provided a theoretical basis and guidance for the future prevention and control of AIV in Wuhan.

show abstract

The Impact of the Closure of the Live Poultry Market due to COVID-19 on the Avian Influenza Virus in Nanchang, Jiangxi Province, China

Cited by 4 publications

References 21 publications

Patterns and risk factors of avian influenza A(H5) and A(H9) virus infection in pigeons and quail at live bird markets in Bangladesh, 2017–2021

Patterns and risk factors of avian influenza A(H5) and A(H9) virus infection in pigeons and quail at live bird markets in Bangladesh, 2017–2021

Persistent predominance of the Victoria lineage of influenza B virus during COVID‐19 epidemic in Nanchang, China

Effect of Nonpharmaceutical Interventions in Preventing COVID-19 on the Circulation of Avian Influenza Virus in Wuhan, Hubei Province, China

Contact Info

Product

Resources

About