ArticleJournal of veterinary science2019
The difference of detection rate of avian influenza virus in the wild bird surveillance using various methods.
Article in Journal of veterinary science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Pooled it
- Long-Term Monitoring of Influenza A Viruses in Wild Waterfowl: Evidence from the Lake Baikal Basin (2018-2024).Viruses · 2026Article
- Wild passerines as potential carriers and sources of avian influenza viruses in Ukraine.Frontiers in microbiology · 2025Article
- Detection of clade 2.3.4.4b highly pathogenic H5N1 influenza virus in New York City.Journal of virology · 2024Article
- Surveillance and Genetic Analysis of Low-Pathogenicity Avian Influenza Viruses Isolated from Feces of Wild Birds in Mongolia, 2021 to 2023.Animals : an open access journal from MDPI · 2024Article
- Detection of clade 2.3.4.4b highly pathogenic H5N1 influenza virus in New York City.bioRxiv : the preprint server for biology · 2024Article
- Article
- First Report of Low Pathogenic Avian Influenza Subtype H9N2 in African Houbara Bustards (Viruses · 2023Article
- Genetic Characteristics of Avian Influenza Virus Isolated from Wild Birds in South Korea, 2019-2020.Viruses · 2021Article
- Characterization of Avian Influenza Virus H10-H12 Subtypes Isolated from Wild Birds in Shanghai, China from 2016 to 2019.Viruses · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Korea is located within the East Asian-Australian flyway of wild migratory birds during the fall and winter seasons. Consequently, the likelihood of introduction of numerous subtypes and pathotypes of the Avian influenza (AI) virus to Korea has been thought to be very high. In the current study, we surveyed wild bird feces for the presence of AI virus that had been introduced to Korea between September 2017 and February 2018. To identify and characterize the AI virus, we employed commonly used methods, namely, virus isolation (VI) via egg inoculation, real-time reverse transcription-polymerase chain reaction (rRT-PCR), conventional RT-PCR (cRT-PCR) and a newly developed next generation sequencing (NGS) approach. In this study, 124 out of 11,145 fresh samples of wild migratory birds tested were rRT-PCR positive; only 52.0% of VI positive samples were determined as positive by rRT-PCR from fecal supernatant. Fifty AI virus specimens were isolated from fresh fecal samples and typed. The cRT-PCR subtyping results mostly coincided with the NGS results, although NGS detected the presence of 11 HA genes and four NA genes that were not detected by cRT-PCR. NGS analysis confirmed that 12% of the identified viruses were mixed-subtypes which were not detected by cRT-PCR. Prevention of the occurrence of AI virus requires a workflow for rapid and accurate virus detection and verification. However, conventional methods of detection have some limitations. Therefore, different methods should be combined for optimal surveillance, and further studies are needed in aspect of the introduction and application of new methods such as NGS.
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