ArticleTransboundary and emerging diseases2023
Analysing WAHIS Animal Health Immediate Notifications to Understand Global Reporting Trends and Measure Early Warning Capacities (2005-2021).
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.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- One Health, multiple gaps: Comparative analysis of global policies for zoonotic surveillance.One health (Amsterdam, Netherlands) · 2026Review
- Theory of change for building stronger wildlife health surveillance systems globally.The Lancet. Planetary health · 2026Review
- Global vaccination coverage and disease incidence in cattle, pigs, and poultry.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Can public-domain datasets be leveraged to identify factors associated with the occurrence of African swine fever in europe?Acta veterinaria Scandinavica · 2025Article
- Trouble on the horizon: anticipating biological invasions through futures thinking.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Understanding ecological systems using knowledge graphs: an application to highly pathogenic avian influenza.Bioinformatics advances · 2025Article
- Modelling the drivers of outbreak communication in online media news for improved event-based surveillance.PloS one · 2025Article
- What can we learn from the five-year African swine fever epidemic in Asia?Frontiers in veterinary science · 2023Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.