Evidence map›Paper›PMID 34950760›Full record

ArticleOne health (Amsterdam, Netherlands)2021

PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance.

Sarah Valentin, Elena Arsevska, Julien Rabatel, Sylvain Falala, Alizé Mercier, Renaud Lancelot, Mathieu Roche

Open access · goldAbstract readNews
In one paragraph

Article in One health (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Tracking phases of the fall armyworm (Biological invasions · 2026
    Article
  3. Article
  4. Article
  5. Review
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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 at 3 institutions in 1 country.

Sarah ValentinCIRAD, UMR ASTRE / UMR TETIS, F-34398 Montpellier, France.
Elena ArsevskaCIRAD, UMR ASTRE / UMR TETIS, F-34398 Montpellier, France.
Julien RabatelCIRAD, UMR ASTRE / UMR TETIS, F-34398 Montpellier, France.
Sylvain FalalaCIRAD, UMR ASTRE / UMR TETIS, F-34398 Montpellier, France.
Alizé MercierCIRAD, UMR ASTRE / UMR TETIS, F-34398 Montpellier, France.
Renaud LancelotCIRAD, UMR ASTRE / UMR TETIS, F-34398 Montpellier, France.
Mathieu RocheCIRAD, UMR ASTRE / UMR TETIS, F-34398 Montpellier, France.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRAnimal, Santé, Territoires, Risques et Ecosystèmes · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PADI-web (Platform for Automated extraction of animal Disease Information from the web) is a biosurveillance system dedicated to monitoring online news sources for the detection of emerging animal infectious diseases. PADI-web has collected more than 380,000 news articles since 2016. Compared to other existing biosurveillance tools, PADI-web focuses specifically on animal health and has a fully automated pipeline based on machine-learning methods. This paper presents the new functionalities of PADI-web based on the integration of: (i) a new fine-grained classification system, (ii) automatic methods to extract terms and named entities with text-mining approaches, (iii) semantic resources for indexing keywords and (iv) a notification system for end-users. Compared to other biosurveillance tools, PADI-web, which is integrated in the French Platform for Animal Health Surveillance (ESA Platform), offers strong coverage of the animal sector, a multilingual approach, an automated information extraction module and a notification tool configurable according to end-user needs.

Indexed as

Animal disease surveillanceSoftwareText mining

Identifiers

PMID34950760
PMCPMC8671119
OpenAlexW4200277663

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.