Evidence map›Paper›PMID 40303675›Full record

ArticleTransboundary and emerging diseases2023

Analysing WAHIS Animal Health Immediate Notifications to Understand Global Reporting Trends and Measure Early Warning Capacities (2005-2021).

Shu-Yu Lin, Daniel Beltran-Alcrudo, Lina Awada, Christopher Hamilton-West, Andrea Lavarello Schettini, Paula Cáceres, Paolo Tizzani, Alberto Allepuz, Jordi Casal

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Global vaccination coverage and disease incidence in cattle, pigs, and poultry.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Trouble on the horizon: anticipating biological invasions through futures thinking.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  6. Article
  7. Article
  8. Review
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

9 authors.

Shu-Yu LinDepartment de Sanitat I Anatomia Animals, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
Daniel Beltran-AlcrudoRegional Office for Europe and Central Asia, Food and Agriculture Organization (FAO), Budapest, Hungary.ORCID https://orcid.org/0000-0002-8646-357X
Lina AwadaWorld Animal Health Information and Analysis Department, World Organisation for Animal Health (WOAH), Paris, France.ORCID https://orcid.org/0000-0002-8207-6548
Christopher Hamilton-WestDepartment of Preventive Veterinary Medicine, Faculty of Veterinary Science, Universidad de Chile, Santiago, Chile.ORCID https://orcid.org/0000-0002-5609-2237
Andrea Lavarello SchettiniWorld Animal Health Information and Analysis Department, World Organisation for Animal Health (WOAH), Paris, France.
Paula CáceresWorld Animal Health Information and Analysis Department, World Organisation for Animal Health (WOAH), Paris, France.
Paolo TizzaniWorld Animal Health Information and Analysis Department, World Organisation for Animal Health (WOAH), Paris, France.ORCID https://orcid.org/0000-0003-2603-4172
Alberto AllepuzDepartment de Sanitat I Anatomia Animals, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.ORCID https://orcid.org/0000-0003-3518-1991
Jordi CasalDepartment de Sanitat I Anatomia Animals, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.ORCID https://orcid.org/0000-0002-6909-9366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Animal Health Information System (WAHIS) from the World Organization for Animal Health (WOAH) is an online reporting system, essential for ensuring the transparency and accuracy of global animal health. One of the WOAH's objectives is to disseminate timely notifications to support countries' efforts to prevent and control the spread of animal diseases. This paper describes the 3,263 exceptional events notified through immediate notifications sent to WOAH from 2005 to February 2021 and their distribution in time and space and by disease. To evaluate the timeliness of reporting, we defined and analysed two periods: the confirmation period (CT), which is the time interval between the disease onset date and the confirmation date, and the notification period (NT), defined as the interval between the disease confirmation and the date of reporting to WOAH. The results showed that (1) the number of events increased over the analysis period; (2) the events were mainly reported for domestic animals and the data provided for wildlife were limited; (3) the official source of disease introduction was often unknown when the event was reported; and (4) the global median CT value was 5 days while the global median NT value was 4 days, with a decreasing trend in both cases over the study period. Divergences were found across world regions and country income categories. This analysis provides interesting insights into the early detection capabilities and transparency of countries, globally and over time.

Indexed as

Animal DiseasesGlobal HealthAnimalsAnimals, DomesticAnimals, WildDisease Notification

Identifiers

PMID40303675
PMCPMC12017132

What OpenQuestion holds

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LicenceCC BY
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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.