Predicting seasonal influenza using supermarket retail records.
Increased availability of epidemiological data, novel digital data streams, and the rise of powerful machine learning approaches have generated a surge of research activity on real-time epidemic forecast systems. In this paper, we propose the use of a novel data source, namely retail market data to...
| Published in: | PLoS Computational Biology |
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| Main Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-07-01
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| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009087&type=printable |