ArticlePloS one2018
Web monitoring of emerging animal infectious diseases integrated in the French Animal Health Epidemic Intelligence System.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.International journal of health geographics · 2018Pooled it
- [Transformation of Epidemiology in the Age of Artificial Intelligence].Revista medica del Instituto Mexicano del Seguro Social · 2026Article
- Linked avian influenza epidemiological and genomic data in EMPRES-i for epidemic intelligence (2012-2021).Data in brief · 2025Article
- Modelling the drivers of outbreak communication in online media news for improved event-based surveillance.PloS one · 2025Article
- Integrating indicator-based and event-based surveillance data for risk mapping of West Nile virus, Europe, 2006 to 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024Article
- ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes.Scientific data · 2023Article
- Dissemination of information in event-based surveillance, a case study of Avian Influenza.PloS one · 2023Article
- Review
- Digital surveillance in Latin American diseases outbreaks: information extraction from a novel Spanish corpus.BMC bioinformatics · 2022Article
- Machine and cognitive intelligence for human health: systematic review.Brain informatics · 2022Review
- ITEXT-BIO: Intelligent Term EXTraction for BIOmedical analysis.Health information science and systems · 2021Article
- PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance.One health (Amsterdam, Netherlands) · 2021Article
- Monitoring online media reports for early detection of unknown diseases: Insight from a retrospective study of COVID-19 emergence.Transboundary and emerging diseases · 2021Article
- Research perspectives on animal health in the era of artificial intelligence.Veterinary research · 2021Review
- Article
- A systematic review on integration mechanisms in human and animal health surveillance systems with a view to addressing global health security threats.One health outlook · 2020Review
- Artificial Intelligence for Surveillance in Public Health.Yearbook of medical informatics · 2019Article
- PADI-web corpus: Labeled textual data in animal health domain.Data in brief · 2019Article
- Valuing Health Surveillance as an Information System: Interdisciplinary Insights.Frontiers in public health · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since 2013, the French Animal Health Epidemic Intelligence System (in French: Veille Sanitaire Internationale, VSI) has been monitoring signals of the emergence of new and exotic animal infectious diseases worldwide. Once detected, the VSI team verifies the signals and issues early warning reports to French animal health authorities when potential threats to France are detected. To improve detection of signals from online news sources, we designed the Platform for Automated extraction of Disease Information from the web (PADI-web). PADI-web automatically collects, processes and extracts English-language epidemiological information from Google News. The core component of PADI-web is a combined information extraction (IE) method founded on rule-based systems and data mining techniques. The IE approach allows extraction of key information on diseases, locations, dates, hosts and the number of cases mentioned in the news. We evaluated the combined method for IE on a dataset of 352 disease-related news reports mentioning the diseases involved, locations, dates, hosts and the number of cases. The combined method for IE accurately identified (F-score) 95% of the diseases and hosts, respectively, 85% of the number of cases, 83% of dates and 80% of locations from the disease-related news. We assessed the sensitivity of PADI-web to detect primary outbreaks of four emerging animal infectious diseases notifiable to the World Organisation for Animal Health (OIE). From January to June 2016, PADI-web detected signals for 64% of all primary outbreaks of African swine fever, 53% of avian influenza, 25% of bluetongue and 19% of foot-and-mouth disease. PADI-web timely detected primary outbreaks of avian influenza and foot-and-mouth disease in Asia, i.e. they were detected 8 and 3 days before immediate notification to OIE, respectively.
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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.