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

Journal: BMC medical research methodology
PMID: 40241011

Abstract

BACKGROUND: Methods that enable early outbreak detection represent powerful tools in epidemiological surveillance, allowing adequate planning and timely response to disease surges. Syndromic surveillance data collected from primary healthcare encounters can be used as a proxy for the incidence of confirmed cases of respiratory diseases. Deviations from historical trends in encounter numbers can provide valuable insights into emerging diseases with the potential to trigger widespread outbreaks.

Authors

  • Dérick G F Borges
    Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz Bahia, Salvador, Brazil.
  • Eluã R Coutinho
    Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz Bahia, Salvador, Brazil.
  • Thiago Cerqueira-Silva
    Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz Bahia, Salvador, Brazil.
  • Malú Grave
    Department of Civil Engineering, Fluminense Federal University, Niterói, Brazil.
  • Adriano O Vasconcelos
    Department of Civil Engineering, COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Luiz Landau
    Department of Civil Engineering (COPPE), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Alvaro L G A Coutinho
    Department of Civil Engineering, COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Pablo Ivan P Ramos
    Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz (Fiocruz), Salvador, Brazil.
  • Manoel Barral-Netto
    Center for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz (Fiocruz), Salvador, Brazil.
  • Suani T R Pinho
    Physics Institute, Federal University of Bahia (UFBA), 40170-115, Salvador, Bahia, Brazil.
  • Marcos E Barreto
    Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fiocruz Bahia, Salvador, Brazil.
  • Roberto F S Andrade
    Institute of Physics, Federal University of Bahia, Salvador, Brazil.

Keywords

External Resources

Popular Topics
Recent Journals