Evidence map›Paper›PMID 40399282›Full record

ArticleNature communications2025

Evaluation of global outbreak surveillance performance for high pathogenicity avian influenza and African swine fever.

Younjung Kim, Guillaume Fournié, Paolo Tizzani, Gregorio Torres, Raphaëlle Métras, Dirk Pfeiffer, Pierre Nouvellet

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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  5. 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

7 authors.

Younjung KimSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP), UMRS, Paris, France. younjung.kim@stats.ox.ac.uk.ORCID http://orcid.org/0000-0002-4118-2803
Guillaume FourniéDepartment of Pathobiology and Population Sciences, Royal Veterinary College, London, UK.ORCID http://orcid.org/0000-0002-6998-1201
Paolo TizzaniWorld Organisation for Animal Health, Paris, France.ORCID http://orcid.org/0000-0003-2603-4172
Gregorio TorresWorld Organisation for Animal Health, Paris, France.ORCID http://orcid.org/0000-0002-7266-4047
Raphaëlle MétrasSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP), UMRS, Paris, France.ORCID http://orcid.org/0000-0002-2646-196X
Dirk PfeifferDepartment of Pathobiology and Population Sciences, Royal Veterinary College, London, UK.ORCID http://orcid.org/0000-0001-7000-0530
Pierre NouvelletDepartment of Ecology and Evolution, School of Life Sciences, University of Sussex, Brighton and Hove, UK.ORCID http://orcid.org/0000-0002-6094-5722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely outbreak notification is critical for successful disease control. For high pathogenicity avian influenza (HPAI) and African swine fever (ASF), surveillance performance within and across countries remains largely unknown, despite their continued global spread. We assessed surveillance performance in reporting HPAI outbreaks (2020-2023) and ASF outbreaks (2016-2023) amongst World Organisation for Animal Health (WOAH) member countries/territories using WOAH outbreak notification data. We employed a modelling approach using the number of fatalities reported at initial notification as a performance measure, where fewer fatalities relative to the size of the affected premise-after accounting for other premise-level and country-level factors-were assumed to indicate better performance. For both diseases, fatalities were strongly associated with factors including country/territory, number of susceptible animals, premise type (commercial farms, backyard farms, and villages), season, and spatiotemporal outbreak clustering. The number of susceptible animals and country/territory explained the most variance in fatalities. While a few countries/territories appeared to perform exceptionally well or poorly, significant overdispersion suggested substantial heterogeneities within countries/territories after controlling for other factors. Our findings highlight the need for more targeted national and global efforts to strengthen animal health surveillance capacities.

Indexed as

African Swine FeverDisease OutbreaksEpidemiological MonitoringInfluenza in BirdsAnimalsBirdsGlobal HealthSwine

Identifiers

PMID40399282
PMCPMC12095688

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Registered trials

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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.