Published on in Vol 11 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/67050, first published
.

Journals
- Borges D, Coutinho E, Cerqueira-Silva T, Grave M, Vasconcelos A, Landau L, Coutinho A, Ramos P, Barral-Netto M, Pinho S, Barreto M, Andrade R. Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records. BMC Medical Research Methodology 2025;25(1) View
- Marcilio I, Florentino P, Cerqueira-Silva T, Bertoldo-Junior J, Barbosa G, Oliveira V, Boaventura V, Penna G, Ramos P, Barral-Netto M. Leveraging the power of digital health to fight pandemics: The example of ÆSOP. Ciência & Saúde Coletiva 2025;30(7) View
- Borges D, Coutinho E, Jorge D, Barreto M, Ramos P, Barral-Netto M, Coutinho A, Landau L, Pinho S, Andrade R. An integrated framework for modelling respiratory disease transmission and designing surveillance networks using a sentinel index. Royal Society Open Science 2025;12(9) View
- Marcilio I, Ramos P, Florentino P, dos Santos A, de Araújo Oliveira V, Carreiro R, Lima Danielli R, Zany dos Reis A, Ramos T, Bartholomay P, Coradi de Freitas D, Martins Romano A, Nunes dos Santos C, Nienov O, Gaete R, Oliveira J, Cunha G, Cunha M, Brandão de Miranda R, Boaventura V, Andrade R, Landau L, Penna G, Barral-Netto M, Alencar A, Vasconcelos A, Borges D, Tschoeke D, Coutinho E, Hochleitner F, Filho F, Barbosa G, Junior J, Santos L, Meirelles P, Santos-Silva R, Khouri R, Araújo W. Implementation of AESOP early-warning system for respiratory disease: a pilot and validation study using routinely collected data in Amazonas, Brazil. The Lancet Regional Health - Americas 2026;60:101516 View
