ArticleEmerging infectious diseases2023
Integrating Citizen Scientist Data into the Surveillance System for Avian Influenza Virus, Taiwan.
Article in Emerging infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of New, Enhanced Surveillance Systems and Methodologies for Zoonotic Influenza Viruses in Animals and Human-Animal Interface.Influenza and other respiratory viruses · 2025Pooled it
- Integrated approaches to explore temporal-spatial changes in gene reassortment of highly pathogenic avian influenza A(H5) virus in Eurasia, 2000-2023.Scientific reports · 2026Article
- The role of wild birds in the global highly pathogenic avian influenza H5 panzootic, 2020-2023.npj biodiversity · 2026Review
- Assessing the spatial risk of wild birds in avian influenza transmission using global risk score.Scientific reports · 2025Article
- Poultry farm density and proximity drive highly pathogenic avian influenza spread.Communications biology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The continuing circulation and reassortment with low-pathogenicity avian influenza Gs/Gd (goose/Guangdong/1996)-like avian influenza viruses (AIVs) has caused huge economic losses and raised public health concerns over the zoonotic potential. Virologic surveillance of wild birds has been suggested as part of a global AIV surveillance system. However, underreporting and biased selection of sampling sites has rendered gaining information about the transmission and evolution of highly pathogenic AIV problematic. We explored the use of the Citizen Scientist eBird database to elucidate the dynamic distribution of wild birds in Taiwan and their potential for AIV exchange with domestic poultry. Through the 2-stage analytical framework, we associated nonignorable risk with 10 species of wild birds with >100 significant positive results. We generated a risk map, which served as the guide for highly pathogenic AIV surveillance. Our methodologic blueprint has the potential to be incorporated into the global AIV surveillance system of wild birds.
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