Forecasting SARS-CoV-2 transmission and clinical risk at small spatial scales by the application of machine learning architectures to syndromic surveillance data
Crossref DOI link: https://doi.org/10.1038/s42256-022-00538-9
Published Online: 2022-10-21
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ward, Thomas http://orcid.org/0000-0001-8801-747X
Johnsen, Alexander
Ng, Stanley
Chollet, François
Text and Data Mining valid from 2022-10-21
Version of Record valid from 2022-10-21
Article History
Received: 27 October 2021
Accepted: 30 August 2022
First Online: 21 October 2022
Competing interests
: The authors declare no competing interests.
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