Evidence map›Paper›PMID 42101093›Full record

ReviewBiological reviews of the Cambridge Philosophical Society2026

Counting cases, conserving species: addressing highly pathogenic avian influenza in wildlife.

Ulrich Knief, Sandra Bouwhuis, Anja Globig, Anne Günther, Wouter Courtens

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ulrich KniefEvolutionary Biology and Ecology, University of Freiburg, Institute of Biology I (Zoology), Hauptstr. 1, Freiburg, DE-79104, Germany.ORCID https://orcid.org/0000-0001-6959-3033
Sandra BouwhuisInstitute of Avian Research, An der Vogelwarte 21, Wilhelmshaven, DE-26386, Germany.ORCID https://orcid.org/0000-0003-4023-1578
Anja GlobigFriedrich-Loeffler-Institut, Institute of International Animal Health/One Health, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems, DE-17493, Germany.ORCID https://orcid.org/0009-0006-1966-6760
Anne GüntherFriedrich-Loeffler-Institut, Institute of Diagnostic Virology, Federal Research Institute for Animal Health, Südufer 10, Greifswald-Insel Riems, DE-17493, Germany.ORCID https://orcid.org/0000-0001-5176-6346
Wouter CourtensResearch Institute for Nature and Forest, Havenlaan 88, bus 73, Brussels, 1000, Belgium.ORCID https://orcid.org/0000-0002-5806-0343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Animals, WildConservation of Natural ResourcesInfluenza A Virus, H5N1 SubtypeInfluenza in BirdsAnimalsBirdsdisease outbreakecologyH5N1HPAImass mortalitywild birdswildlife

Identifiers

PMID42101093
PMCPMC13542358

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.