An epidemiological knowledge graph extracted from the World Health Organization’s Disease Outbreak News
Abstract The rapid evolution of artificial intelligence (AI), together with the increased availability of social media and news for epidemiological surveillance, is marking a pivotal moment in epidemiology and public health research. By harnessing the capabilities of generative AI, we use an ensembl...
Saved in:
| Main Authors: | Sergio Consoli, Pietro Coletti, Peter V. Markov, Lia Orfei, Indaco Biazzo, Lea Schuh, Nicolas Stefanovitch, Lorenzo Bertolini, Mario Ceresa, Nikolaos I. Stilianakis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05276-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unveiling spatial patterns of West Nile virus emergence in northern Greece, 2010–2023
by: Anastasia Angelou, et al.
Published: (2024-12-01) -
Dreams are more “predictable” than you think
by: Lorenzo Bertolini, et al.
Published: (2025-07-01) -
The WHO Disease Outbreak News during the Covid-19 pandemic.
by: Ciara M Weets, et al.
Published: (2025-01-01) -
Effect of the epidemiological heterogeneity on the outbreak outcomes
by: Alina Macacu, et al.
Published: (2017-05-01) -
Early warning system of the seasonal west nile virus infection risk in humans in northern greece, 2020–2024
by: Anastasia Angelou, et al.
Published: (2025-02-01)