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A Koopman operator-based prediction algorithm and its application to COVID-19 pandemic and influenza cases

Crossref DOI link: https://doi.org/10.1038/s41598-024-55798-9

Published Online: 2024-03-09

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

Authors

Mezić, Igor

Drmač, Zlatko

Črnjarić, Nelida

Maćešić, Senka

Fonoberova, Maria

Mohr, Ryan

Avila, Allan M.

Manojlović, Iva

Andrejčuk, Aleksandr
Funding

Funding for this research was provided by:

Defense Advanced Research Projects Agency (HR001116C0116)

Defense Advanced Research Projects Agency (HR001116C0116)

Defense Advanced Research Projects Agency (HR001116C0116)

Defense Advanced Research Projects Agency (HR001116C0116)

Defense Advanced Research Projects Agency (HR001116C0116)

Defense Advanced Research Projects Agency (HR001116C0116)

Defense Advanced Research Projects Agency (HR00111890033)

Defense Advanced Research Projects Agency (HR00111890033)

Defense Advanced Research Projects Agency (HR001116C0116)

Small Business Innovation Research (W31P4Q- 21-C-0007)

Small Business Innovation Research (W31P4Q- 21-C-0007)

Small Business Innovation Research (W31P4Q- 21-C-0007)

Small Business Innovation Research (W31P4Q- 21-C-0007)

Small Business Innovation Research (W31P4Q- 21-C-0007)

Small Business Innovation Research (W31P4Q- 21-C-0007)

Hrvatska Zaklada za Znanost (IP-2019-04-6268)

Sveučilište u Rijeci (uniri-prirod-18-118-1257)

Sveučilište u Rijeci (uniri-prirod-18-118-1257)

National Institute on Alcohol Abuse and Alcoholism (R01AA023667)
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Text and Data Mining valid from 2024-03-09

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Article History

Received: 1 May 2023

Accepted: 27 February 2024

First Online: 9 March 2024

Competing interests

: The authors declare no competing interests.

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