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Mining media data for improved disease surveillance - use case of PADI-web tool

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 Arsevska, Elena Boudoua, Bahdja

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Mining media data for improved disease surveillance - use case of PADI-web tool
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15
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2023
Production PlaceWageningen

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MOOD project coordinator Elena Arsevska is also a veterinary epidemiologist within Cirad in Montpellier, France. Bahdja Boudoua is a second-year PhD student at the UMR TETIS, France. In this session of the 2023 MOOD Summer School, the two experts showed the open access tool Padi-web tool (https://padi-web.cirad.fr/en/) developed by CIRAD/INRAE. Padi-web monitors online news and extracts of information on epidemiological events (such as outbreaks) detected in the news. They showed how to filter news by disease, syndrom, and explore combinations with different hosts and time period. They also showed some research activities using the Padi-web datasets and disease case studies, ranging from text mining to network analysis and epidemiological modelling.
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