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Early detection of dengue outbreaks from routine primary health care records: evaluation by an extended version of the Mixed Model of Artificial Intelligence and Next-Generation (MMAING)

Crossref DOI link: https://doi.org/10.1186/s12874-026-02976-0

Published Online: 2026-08-26

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

Authors

Borges, Dérick G. F.

Coutinho, Eluã R.

Santos-Silva, Rejane

Cerqueira-Silva, Thiago

Florentino, Pilar T. V.

Marcilio, Izabel

Ramos, Pablo I. P.

Barral-Netto, Manoel

Landau, Luiz

Coutinho, Alvaro L. G. A.

Barreto, Marcos E.

Pinho, Suani T. R.

Andrade, Roberto F. S.
Funding

Funding for this research was provided by:

Royal Society

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Oswaldo Cruz and the Rockefeller Foundation

Rio de Janeiro State Research Support Foundation

Postgraduate Program in Civil Engineering at the Federal University of Rio de Janeiro - UFRJ - COPPE

National Institute of Science and Technology for Complex Systems (INCT-SC Brazil).
License Information

Text and Data Mining valid from 2026-08-26

Accepted Manuscript valid from 2026-08-26
More Information

Article History

Received: 13 November 2025

Accepted: 12 August 2026

First Online: 26 August 2026

Declarations

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

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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