MOOD project is at the forefront of European research of infectious disease surveillance and modelling from a data science perspective, investigating the impact of global warming on disease outbreaks, and proposing innovations for building of One Health systems across Europe and the world.
In the table below are listed all MOOD publications. Use the filter to select the most relevant articles.
Is clinical primary care surveillance for tularaemia a useful addition to laboratory surveillance? An analysis of notification data for Finland, 2013 to 2019 Journal Article
In: Eurosurveillance, vol. 27, no. 4, 0000.
PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance Journal Article
In: One Health, vol. 13, pp. 100357, 0000, ISSN: 2352-7714.
Feature Selection for Sentiment Classification of COVID-19 Tweets: H-TFIDF Featuring BERT Conference
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF, INSTICC SciTePress, 0000, ISBN: 978-989-758-552-4.
H-TFIDF: What makes areas specific over time in the massive flow of tweets related to the covid pandemic? Conference
Proceedings of the 24th AGILE Conference on Geographic Information Science, vol. 2, AGILE: GIScience Series 2 0000.