ArticlePathogens (Basel, Switzerland)2022
Wild Bird Densities and Landscape Variables Predict Spatial Patterns in HPAI Outbreak Risk across The Netherlands.
Article in Pathogens (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 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
- Quantitative risk assessment of avian influenza: A scoping review.Infectious Disease Modelling · 2026Review
- Surveillance of avian influenza viruses in migratory wild birds in South Korea, 2019-2025.Journal of veterinary science · 2026Article
- A risk prediction model for HPAI outbreaks in Kuwait.Frontiers in veterinary science · 2026Article
- Ecology and environment predict spatially stratified risk of H5 highly pathogenic avian influenza clade 2.3.4.4b in wild birds across Europe.Scientific reports · 2025Article
- A systematic review of mathematical and machine learning models of Avian Influenza.One health (Amsterdam, Netherlands) · 2025Review
- Highly Pathogenic Avian Influenza A (H5N1) Infection in Bearded Vultures in Spain.Zoonoses and public health · 2025Article
- Poultry farm density and proximity drive highly pathogenic avian influenza spread.Communications biology · 2025Article
- Predictiveness and drivers of highly pathogenic avian influenza outbreaks in Europe.Scientific reports · 2025Article
- Risk Factors for Introduction of H5N1 Highly Pathogenic Avian Influenza Virus in Japanese Commercial Layer Farms During the 2022-2023 Epidemic: A Case-Control Study.Transboundary and emerging diseases · 2025Article
- Detection of airborne wild waterbird-derived DNA demonstrates potential for transmission of avian influenza virus via air inlets into poultry houses, the Netherlands, 2021 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024Article
- Avian Influenza: Lessons from Past Outbreaks and an Inventory of Data Sources, Mathematical and AI Models, and Early Warning Systems for Forecasting and Hotspot Detection to Tackle Ongoing Outbreaks.Healthcare (Basel, Switzerland) · 2024Review
- Viral shedding and environmental dispersion of two clade 2.3.4.4b H5 high pathogenicity avian influenza viruses in experimentally infected mule ducks: implications for environmental sampling.Veterinary research · 2024Article
- Drivers for a pandemic due to avian influenza and options for One Health mitigation measures.EFSA journal. European Food Safety Authority · 2024Article
- Comparison of the Clinical Manifestation of HPAI H5Nx in Different Poultry Types in the Netherlands, 2014-2022.Pathogens (Basel, Switzerland) · 2024Article
- Risk factors for avian influenza in Danish poultry and wild birds during the epidemic from June 2020 to May 2021.Frontiers in veterinary science · 2024Article
- Vaccination of poultry against highly pathogenic avian influenza - part 1. Available vaccines and vaccination strategies.EFSA journal. European Food Safety Authority · 2023Article
- Using surveillance data for early warning modelling of highly pathogenic avian influenza in Europe reveals a seasonal shift in transmission, 2016-2022.Scientific reports · 2023Article
- Emergence of Highly Pathogenic Avian Influenza A Virus (H5N1) of Clade 2.3.4.4b in Egypt, 2021-2022.Pathogens (Basel, Switzerland) · 2023Article
- Artificial Intelligence Models for Zoonotic Pathogens: A Survey.Microorganisms · 2022Review
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8 authors.
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Abstract
Highly pathogenic avian influenza viruses' (HPAIVs) transmission from wild birds to poultry occurs globally, threatening animal and public health. To predict the HPAI outbreak risk in relation to wild bird densities and land cover variables, we performed a case-control study of 26 HPAI outbreaks (cases) on Dutch poultry farms, each matched with four comparable controls. We trained machine learning classifiers to predict outbreak risk with predictors analyzed at different spatial scales. Of the 20 best explaining predictors, 17 consisted of densities of water-associated bird species, 2 of birds of prey, and 1 represented the surrounding landscape, i.e., agricultural cover. The spatial distribution of mallard (
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