COVID-19 Reinfections in the City of São Paulo, Brazil: Prevalence and Socioeconomic Factors - Report - MDSpire

COVID-19 Reinfections in the City of São Paulo, Brazil: Prevalence and Socioeconomic Factors

  • By

  • Daniel Tavares Malheiro

  • Kauê Capellato Junqueira Parreira

  • Patricia Deffune Celeghini

  • Gustavo Yano Callado

  • André Luis Franco Cotia

  • Miguel Cendoroglo Neto

  • Marcelo A S Bragatte

  • Isaac Negretto Schrarstzhaupt

  • Vanderson Sampaio

  • Takaaki Kobayashi

  • Michael B Edmond

  • Alexandre R Marra

  • April 16, 2025

  • 0 min

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Clinical Report: COVID-19 Reinfection Patterns and Socioeconomic Impact in São Paulo

Overview

In São Paulo, Brazil, 7.6% of COVID-19 patients experienced reinfection, predominantly during the Omicron variant period. Reinfection rates were significantly higher in socioeconomically disadvantaged areas, highlighting the influence of social determinants and variant evolution on reinfection risk.

Background

COVID-19 reinfections remain a public health challenge despite widespread vaccination and prior infections. The Omicron variant's immune evasion capabilities have increased reinfection frequency globally. Socioeconomic disparities exacerbate infection risk due to factors such as crowded living conditions, limited healthcare access, and occupational exposure. Understanding these dynamics in São Paulo, a region marked by social inequality and high infection burden, is critical for targeted public health interventions.

Data Highlights

ParameterValue
Total patients studied73,741
Patients with reinfection5,626 (7.6%)
Patients with 1 reinfection95.0% of reinfected
Reinfection increase periodOmicron variant period
Variants with highest reinfection ratesBA.1, BA.2/BA.4, BA.5, XBB subvariants
Socioeconomic factors linked to reinfectionLower HDI, higher informal settlements, lower employment rates

Key Findings

  • 7.6% of COVID-19 patients in São Paulo experienced reinfection, mostly a single reinfection episode.
  • Reinfection rates surged significantly during the Omicron variant period, especially with subvariants BA.1, BA.2/BA.4, BA.5, and XBB.
  • Patients initially infected during BA.2/BA.4 and BA.5 periods had the highest reinfection rates with XBB subvariants.
  • Lower Human Development Index, higher prevalence of informal settlements, and reduced employment rates were strongly associated with increased reinfection risk.
  • Geospatial analysis revealed clustering of reinfections in socially vulnerable districts.
  • Socioeconomic disparities and variant-specific factors jointly influenced reinfection dynamics in São Paulo.

Clinical Implications

Healthcare providers should recognize that patients from socioeconomically disadvantaged areas are at higher risk for COVID-19 reinfection, particularly with emerging variants. Public health strategies must prioritize resource allocation and targeted interventions in vulnerable communities to reduce reinfection rates. Continuous surveillance of variant evolution is essential to adapt prevention measures effectively.

Conclusion

COVID-19 reinfection in São Paulo is significantly influenced by both viral variant evolution and socioeconomic disparities. Targeted public health efforts addressing social vulnerability and ongoing variant monitoring are critical to mitigating reinfection risks.

References

  1. São Paulo COVID-19 Reinfection Study 2024 -- Recurrent COVID-19 Cases in São Paulo, Brazil: Analyzing Prevalence and Socioeconomic Influences

Original Source(s)

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