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A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution

Crossref DOI link: https://doi.org/10.1038/s41597-022-01245-1

Published Online: 2022-03-29

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Guidotti, Emanuele https://orcid.org/0000-0002-8961-6623
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Text and Data Mining valid from 2022-03-29

Version of Record valid from 2022-03-29
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Article History

Received: 14 January 2022

Accepted: 7 March 2022

First Online: 29 March 2022

Competing interests

: The authors declare no competing interests.