Updates to the wild bird abundance and movement models for the early warning system for avian influenza in the EU

Juan Gallego-Zamorano, Jacob Davies, Roos Reinartz, Rob Robinson, Gabriel Gargallo, Céline Faverjon, Henk Sierdsema, Julia Stahl
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Abstract

Highly pathogenic avian influenza (HPAI) viruses pose a significant threat to both poultry and wild bird populations. Migratory wild birds play a key role in the intercontinental spread of avian influenza (AI), introducing the virus into poultry populations. In response to frequent AI outbreaks in Europe, the European Food Safety Authority (EFSA), at the request of the European Commission (EC), produces quarterly and annual epidemiological reports to monitor and analyse AI trends. A key component of this surveillance includes the integration of outbreak data from Member States and contributions from non-governmental ornithological organisations like the European Bird Census Council (EBCC) and the European Union for Bird Ringing (EURING) together in a predictive spatio-temporal risk assessment model. Previous data integration and modelling efforts led to the development of an early warning system for predicting HPAI outbreaks accessible through a publicly available online user interface: the Bird Flu Radar. This report presents an improvement of the system by expanding the species coverage and refining the existing base models behind the epidemiological model. Specifically, this report details the exploration to incorporate 12 additional wild bird species into the models, and the changes made to the base models predicting the distribution and movements of wild birds. We demonstrate the improvements respecting the existing base models while at the same time enhancing the effectiveness in predicting HPAI outbreaks and possibly mitigating negative effects in Europe by providing more accurate predictions to different stakeholders.

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更新欧盟禽流感预警系统的野鸟数量和移动模型
高致病性禽流感(HPAI)病毒对家禽和野生鸟类种群都构成了重大威胁。野鸟迁徙在禽流感洲际传播中发挥着关键作用,将病毒引入家禽种群。为应对欧洲频繁爆发的禽流感,欧洲食品安全局(EFSA)应欧盟委员会(EC)的要求,编制了季度和年度流行病学报告,以监测和分析禽流感趋势。这项监测工作的一个关键组成部分是将成员国提供的疫情数据以及欧洲鸟类普查理事会 (EBCC) 和欧洲鸟类环志联盟 (EURING) 等非政府鸟类学组织提供的数据整合到一个预测性时空风险评估模型中。通过之前的数据整合和建模工作,开发出了可通过公开在线用户界面访问的高致病性禽流感疫情预测预警系统:禽流感雷达。本报告通过扩大物种覆盖范围和完善流行病学模型背后的现有基础模型,对该系统进行了改进。具体来说,本报告详细介绍了将另外 12 种野生鸟类纳入模型的探索,以及对预测野生鸟类分布和移动的基础模型所做的修改。我们展示了在尊重现有基础模型的基础上所做的改进,同时还提高了预测高致病性禽流感疫情的有效性,并可能通过为不同利益相关者提供更准确的预测来减轻对欧洲的负面影响。
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