Epidemiological Profile and Diagnostic Trends of Meningococcal Disease in Brazil Across Pre-, Peri-, and Post-Pandemic Periods
Lucas da Cruz Farias
Pediatric Residency Program, Centro Universitário de Várzea Grande (UNIVAG), Várzea Grande, MT, Brazil.
Camila Félix Oliveira
Pediatric Residency Program, Centro Universitário de Várzea Grande (UNIVAG), Várzea Grande, MT, Brazil.
Isabela Cardoso Soares
Pediatric Residency Program, Centro Universitário de Várzea Grande (UNIVAG), Várzea Grande, MT, Brazil.
Hugo Dias Hoffmann-Santos
Pediatric Residency Program, Centro Universitário de Várzea Grande (UNIVAG), Várzea Grande, MT, Brazil.
Emmanuela Bortoletto Santos dos Reis *
Centro Universitário de Várzea Grande (UNIVAG), Várzea Grande, MT, Brazil.
*Author to whom correspondence should be addressed.
Abstract
Aims: To describe the epidemiological profile and diagnostic trends of meningococcal meningitis with meningococcemia in Brazil before, during, and after the COVID-19 pandemic, with emphasis on diagnostic criteria and regional distribution to assess the impact on these patterns.
Study Design: Ecological study using national surveillance data from the Notifiable Diseases Information System (SINAN).
Place and Duration of Study: Brazil, covering 01 January 2015 to 31 May 2024.
Methodology: A retrospective, cross-sectional study was conducted using secondary data from the Notifiable Diseases System (SINAN) between 2015 and 2024. Confirmed cases in individuals aged 0–18 years were grouped into three periods: pre-pandemic (2015–2019), peri-pandemic (2020–2022), and post-pandemic (2023–2024). Diagnostic methods were categorized as polymerase chain reaction (PCR), culture, clinical criteria Descriptive analyses, Chi-square tests, and multivariate logistic Information regression were applied. A complete-case analysis was performed after data cleaning to handle missing information. Data were analyzed using R 4.4.2. Pearson’s chi-square test and logistic regression were applied to evaluate associations, with statistical significance set at p < 0.05.
Results: A total of 1,186 confirmed cases in individuals aged 0–18 years were analyzed, 917 (77.3%) pre-pandemic, 174 (14.7%) peri-pandemic, and 95 (8.0%) post-pandemic. Diagnostic confirmation by PCR increased from 42.8% before the pandemic to 63.1% afterward, while clinical criteria decreased proportionally. Significant differences were observed between periods for diagnostic method (p<0.001) and case fatality (p=0.038). The odds of diagnosis by PCR were 1.9 times higher in the post-pandemic period compared with the pre-pandemic baseline (95% CI: 1.35–2.68).
Conclusion: Despite reduced overall case numbers during the pandemic, PCR-based diagnosis expanded substantially, likely reflecting improved laboratory capacity and surveillance integration post-COVID-19. The findings highlight both progress and persistent disparities in meningococcal disease reporting across Brazilian regions.
Keywords: Meningococcal infections, meningitis, meningococcal, diagnostic criteria, epidemiology, public health surveillance