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Web monitoring of emerging animal infectious diseases integrated in the French Animal Health Epidemic Intelligence System

Arsevska Elena, Valentin Sarah, Rabatel Julien, De Goër de Hervé Jocelyn, Falala Sylvain, Lancelot Renaud, Roche Mathieu. 2018. Web monitoring of emerging animal infectious diseases integrated in the French Animal Health Epidemic Intelligence System. PloS One, 13 (8):e0199960, 25 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
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Url - jeu de données : https://doi.org/10.18167/DVN1/JZM34U / Url - jeu de données : https://doi.org/10.18167/DVN1/KMTIFG

Quartile : Q2, Sujet : MULTIDISCIPLINARY SCIENCES

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie; Staps

Additional Information : Best paper - IMIA Yearbook of Medical Informatics 2019 in the section 'Public Health and Epidemiology Informatics'

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.

Mots-clés géographiques Agrovoc : France

Mots-clés libres : Animal disease surveillance, Epidemic intelligence, Disease emergence, Disease outbreak, Animal health, Text mining, Web mining, Information extraction, Information retrieval

Classification Agris : L73 - Animal diseases
C30 - Documentation and information

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Arsevska Elena, CIRAD-BIOS-UMR ASTRE (FRA) - auteur correspondant
  • Valentin Sarah, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-9028-681X
  • Rabatel Julien, LIRMM (FRA)
  • De Goër de Hervé Jocelyn, INRA (FRA)
  • Falala Sylvain, INRA (FRA)
  • Lancelot Renaud, CIRAD-BIOS-UMR ASTRE (FRA)
  • Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568

Source : Cirad-Agritrop (https://agritrop.cirad.fr/588533/)

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