ArticleTransboundary and emerging diseases2023
Risk Factors Contributing to Highly Pathogenic Avian Influenza H5N6 in China, 2014-2021: Based on a MaxEnt Model.
Article in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Quantitative risk assessment of avian influenza: A scoping review.Infectious Disease Modelling · 2026Review
- A cross-sectional study of avian influenza virus in poultry markets of Guangdong China, 2025.Frontiers in cellular and infection microbiology · 2026Article
- Spatial Patterns of Global Peste Des Petits Ruminants Virus and Its Potential Risk Assessment for Various Wildlife Habitats.Ecology and evolution · 2025Article
- Risk Assessment of Avian Influenza Virus Subtype H7 Introduction and Spread in the Russian Federation.Pathogens (Basel, Switzerland) · 2025Article
- Molecular and ecological determinants of mammalian adaptability in avian influenza virus.Infection · 2025Review
- Environmental Suitability of Kazakhstan to Highly Pathogenic Avian Influenza Using Data on Eurasian Outbreaks, 2020-2024.Viruses · 2025Article
- Risk Assessment of Global Animal Melioidosis Under Current and Future Climate Scenarios.Animals : an open access journal from MDPI · 2025Article
- Investigation of human infection with H5N6 avian influenza cases in Sichuan Province from 2014 to 2024: a retrospective study.Frontiers in public health · 2025Article
- The Alarming Situation of Highly Pathogenic Avian Influenza Viruses in 2019-2023.Global medical genetics · 2024Review
- Mapping African Swine Fever and Highly Pathogenic Avian Influenza Outbreaks along the Demilitarized Zone in the Korean Peninsula.Transboundary and emerging diseases · 2024Article
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Authors and funding
5 authors.
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Abstract
Highly pathogenic avian influenza H5N6, an acute infectious poultry disease, has appeared in China since 2014. The serious HPAI H5N6 epidemic has caused substantial economic losses to the poultry industry and seriously threatened public health. This study developed two maximum entropy models based on highly pathogenic avian influenza virus H5N6 surveillance data obtained through China's national surveillance program and HPAI H5N6 outbreak data in China, identified risk factors for the disease and developed risk prediction maps. Both models had a good predictive performance with area under the receiver operating characteristic curves of 0.931 and 0.892. Our study considered 26 variables from bioclimate, geographical, and socioeconomic factors. After the screening, 14 variables were retained and incorporated into the construction of the two models. HPAIV H5N6 presence was related to population density, road density, poultry market density, mean diurnal range, and chicken density. HPAI H5N6 poultry outbreaks were associated with population density, road density, mean diurnal range, precipitation of the driest month, and chicken density. Overall, Southern China was the high-risk area for HPAIV H5N6 maintenance and H5N6 outbreak. The risk factors and maps associated with the HPAIV H5N6 presence and HPAI H5N6 outbreak identified in our study will help develop appropriate HPAIV H5N6 control measures to reduce the risk of infection and morbidity in poultry and humans.
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