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Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records

Crossref DOI link: https://doi.org/10.1186/s12874-025-02542-0

Published Online: 2025-04-16

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

Authors

Borges, Dérick G. F. https://orcid.org/0000-0001-7627-4452
Coutinho, Eluã R. https://orcid.org/0000-0003-2350-4319
Cerqueira-Silva, Thiago https://orcid.org/0000-0003-4534-2509
Grave, Malú https://orcid.org/0000-0002-7697-0658
Vasconcelos, Adriano O.

Landau, Luiz

Coutinho, Alvaro L. G. A. https://orcid.org/0000-0002-4764-1142
Ramos, Pablo Ivan P. https://orcid.org/0000-0002-9075-7861
Barral-Netto, Manoel https://orcid.org/0000-0002-5823-7903
Pinho, Suani T. R. https://orcid.org/0000-0003-1404-3485
Barreto, Marcos E. https://orcid.org/0000-0002-7818-1855
Andrade, Roberto F. S. https://orcid.org/0000-0002-9323-1400
Funding

Funding for this research was provided by:

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Oswaldo Cruz

Royal Society (NIF/R1/231435)

Rockefeller Foundation (2023 PPI 007)
License Information

Text and Data Mining valid from 2025-04-16

Version of Record valid from 2025-04-16
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Article History

Received: 7 May 2024

Accepted: 26 March 2025

First Online: 16 April 2025

Declarations

:

: The study is based on secondary, aggregated, non-identified data, and was approved by the Ethical Review Board of Oswaldo Cruz Foundation - Fiocruz Bahia Regional Office, CAAE 61444122.0.0000.0040.

: Not applicable.

: The authors declare no competing interests.

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