# Spatial analysis of mortality due to congenital syphilis in Brazil from 2008 to 2022

**Authors:** Yago Tavares Pinheiro, Richardson Augusto Rosendo da Silva, Ketyllem Tayanne da Silva Costa, Angelo Giuseppe Roncalli da Costa Oliveira, Janmilli Dantas da Costa, Cristiane da Silva Ramos Marinho, Jurandir Alves de Freitas Filho, Luennia Kerlly Alves Rocha, Victória Sampaio Moreira, Ruan Carlos de Queiroz Monteiro, José Rebberty Rodrigo Holanda, Vinícius Belo, Vinícius Belo, Vinícius Belo, Vinícius Belo, Vinícius Belo

PMC · DOI: 10.1371/journal.pone.0326407 · PLOS One · 2026-02-03

## TL;DR

This study maps congenital syphilis deaths in Brazil from 2008 to 2022, showing uneven distribution and identifying factors like healthcare access and inequality that influence mortality.

## Contribution

The study provides a spatial analysis of congenital syphilis mortality in Brazil and identifies key predictors using geospatial and regression models.

## Key findings

- Congenital syphilis mortality rates were highest in Pará, Acre, Rondônia, Rio de Janeiro, and part of Amazonas.
- Significant spatial clusters were found in Pará, Rio de Janeiro, and Mato Grosso.
- The Gini index, nurse availability, and prenatal testing rates were significant predictors of mortality.

## Abstract

The objective of this study is to analyze spatial distribution of mortality due to congenital syphilis in Brazil from 2008 to 2022. This is an ecological study that considered congenital syphilis deaths reported in all Brazilian municipalities, from 2008 to 2022, available in the Brazilian government’s information systems. We built a thematic map to describe the distribution of congenital syphilis mortality in the country and, subsequently, applied the Local Index Spatial Analysis to identify possible spatial clusters. Finally, we used the Ordinary Least Squares and Geographically Weighted Regression models to identify mortality predictors in the territory. The mortality rate from congenital syphilis was 0.64 deaths per 1,000 live births. The distribution of deaths occurred heterogeneously, with the highest rates in the states of Pará, Acre, Rondônia, Rio de Janeiro and part of Amazonas. We identified statistically significant spatial clusters across the country, with the formation of clusters with a high-high pattern in Pará, Rio de Janeiro, and Mato Grosso (p < 0.05). We observed that the Gini index (p = 0.008; 95% Confidence Interval: 0.02–0.11), the number of nurses in primary care (p = 0.027; 95% Confidence Interval: 0.0005–0.00003) and the proportion of non-treponemal tests by pregnant women (p = 0.016; 95% Confidence Interval: 0.005–0.001) are variables that influence the occurrence of deaths. Congenital syphilis deaths in Brazil occur heterogeneously, with different rates between regions, which are geographically influenced by social and healthcare characteristics of the location.

## Linked entities

- **Diseases:** congenital syphilis (MONDO:0005714)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382), Death (MESH:D003643), CONGENITAL SYPHILIS (MESH:D013590), Chagas Disease (MESH:D014355), infection (MESH:D007239), stillbirth (MESH:D050497), Syphilis (MESH:D013587), HIV (MESH:D015658), Hepatitis B (MESH:D006509), maternal (MESH:D000079262)
- **Chemicals:** PONE-D-25-29476R3 (-)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Homo sapiens (human, species) [taxon 9606], Human immunodeficiency virus 1 (no rank) [taxon 11676], Treponema pallidum (species) [taxon 160]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12867209/full.md

## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12867209/full.md

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Source: https://tomesphere.com/paper/PMC12867209