ReviewBiological reviews of the Cambridge Philosophical Society2026
Counting cases, conserving species: addressing highly pathogenic avian influenza in wildlife.
Review in Biological reviews of the Cambridge Philosophical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Avian influenza amplified age-related mortality in a long-lived seabird.Nature communications · 2026Article
- Surveillance of Migratory Shorebirds and Seabirds in 2024 in Australia Reveals Incursions of a Diversity of Low Pathogenicity Avian Influenza Viruses, but Not High Pathogenicity Avian Influenza H5N1.Influenza and other respiratory viruses · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Highly pathogenic avian influenza (HPAI) has become a critical threat to wildlife, shifting from a seasonal epizootic to a persistent, year-round panzootic with global consequences. Here, we summarise the origin, evolutionary mechanisms, and expanding host range of the current H5N1 virus (clade 2.3.4.4b) and assess its impact on wildlife. Over the past 5 years, HPAI has caused the deaths of millions of wild birds, causing dramatic population declines in several seabird species. Mortality records, however, are often anecdotal, focus on localised mass die-offs, and thus represent only a fraction of the true mortality. This lack of quantitative data limits the ability to predict outbreak dynamics and mitigate long-term consequences. Using the northwestern European Sandwich tern (Thalasseus sandvicensis) population as a case study, we demonstrate the value of integrating mortality data with ecological, serological and genetic data before, during and after an outbreak. This approach uncovered age-specific vulnerability, selective mortality, and population immunological responses, and provided insights into how breeding density, carcass removal, and host adaptation modulate outbreak dynamics. The absence of a centralised and standardised wildlife mortality monitoring framework, on the other hand, remains a major barrier to effective outbreak forecasting and conservation planning. We argue that integrating population and mortality monitoring, serological assays, and genetic analyses within a One Health framework is essential to enable early detection, targeted mitigation, and robust evaluation of outbreak impacts, and caution that without a proactive and data-driven approach to conservation, HPAI will continue to threaten global wildlife populations, with cascading ecological, economic and public health consequences.
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Registered trials
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