Improving meningitis surveillance and diagnosis with machine learning: Insights from São Paulo.

Journal: PLOS digital health
Published Date: Jul 10, 2025

Abstract

INTRODUCTION: Meningitis, an inflammatory condition of the membranes surrounding the brain and spinal cord, can be caused by various agents. Bacterial meningitis is particularly severe due to its high morbidity and mortality rates. This study aims to develop machine learning (ML) models to classify the aetiology of bacterial meningitis using data from the Notifiable Diseases Information System (SINAN) in São Paulo State, Brazil.

Authors

  • Audêncio Victor
    School of Public Health, University of São Paulo (USP), Avenida Doutor Arnaldo, 715, São Paulo, 01246904, São Paulo, Brazil. audenciovictor@gmail.com.
  • Diego Augusto Medeiros Santos
    São Paulo State Health Department, Disease Control Coordination, Epidemiological Surveillance Center "Prof. Alexandre Vranjac," Respiratory Disease Division, São Paulo, Brazil.
  • Eduardo Koerich Nery
    São Paulo State Health Department, Disease Control Coordination, Epidemiological Surveillance Center "Prof. Alexandre Vranjac," Respiratory Disease Division, São Paulo, Brazil.
  • Danilo Pereira Mori
    São Paulo State Health Department, Disease Control Coordination, Epidemiological Surveillance Center "Prof. Alexandre Vranjac," Respiratory Disease Division, São Paulo, Brazil.
  • Pamella Cristina de Carvalho Lucas
    São Paulo State Health Department, Disease Control Coordination, Epidemiological Surveillance Center "Prof. Alexandre Vranjac," Respiratory Disease Division, São Paulo, Brazil.
  • Denise Cammarota
    São Paulo State Health Department, Disease Control Coordination, Epidemiological Surveillance Center "Prof. Alexandre Vranjac," Respiratory Disease Division, São Paulo, Brazil.
  • Guillermo Leonardo Florez Montero
    São Paulo State Health Department, Disease Control Coordination, Epidemiological Surveillance Center "Prof. Alexandre Vranjac," Respiratory Disease Division, São Paulo, Brazil.
  • Fabiano Novaes Barcellos Filho
    Public Health Postgraduate Program, School of Public Health, University of São Paulo, São Paulo, Brazil.
  • Ana Lúcia Frugis Yu
    São Paulo State Health Department, Disease Control Coordination, Epidemiological Surveillance Center "Prof. Alexandre Vranjac," Respiratory Disease Division, São Paulo, Brazil.
  • Telma Regina Marques Pinto Carvalhanas
    São Paulo State Health Department, Disease Control Coordination, Epidemiological Surveillance Center "Prof. Alexandre Vranjac," Respiratory Disease Division, São Paulo, Brazil.

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