# Preventable neonatal mortality in the state of São Paulo: a spatial approach

**Authors:** Julia Ferreira Gomes Pereira, Luiz Fernando Costa Nascimento

PMC · DOI: 10.1590/1984-0462/2025/43/2024294 · Revista Paulista de Pediatria · 2025-11-14

## TL;DR

This study identifies areas in São Paulo with high rates of preventable neonatal deaths and links them to socioeconomic factors.

## Contribution

The novel contribution is the spatial analysis linking preventable neonatal deaths to socioeconomic and demographic factors in São Paulo.

## Key findings

- Significant spatial clustering of preventable neonatal deaths was found in the southern region of São Paulo.
- Socioeconomic vulnerability and inadequate prenatal care correlated with higher preventable neonatal mortality.
- Thematic maps revealed associations between low Apgar scores and preventable neonatal deaths.

## Abstract

Identify spatial patterns for preventable neonatal deaths in municipalities in the state of São Paulo between the years of 2015 and 2019, looking for possible correlations with socioeconomic and demographic indices.

This is an ecological study, with data obtained from the Department of Informatics of the Unified Health System (DATASUS), from the of Mortality Information System (SIM) and Live Birth Information System (SINASC), regarding preventable deaths due to adequate care for women during pregnancy, childbirth and for the newborns, were analysed. Proportions per thousand live births were built. The independent variables used were the proportion of adolescent mothers; insufficient number of antenatal consultations (0–6 consultations); low birthweight (500–2499 g); low Apgar score in the 1st and 5th minute of life (0–7), all of which were used to calculate the Univariate Moran Index (IMU). The Social Vulnerability Index (SVI) and the Municipal Human Development Index (MHDI) were used to calculate the Bivariate Moran Index (IM). The Univariate and Bivariate Moran’s indexes were calculated, thematic maps and box maps were constructed, and a significance level of α < 5% was adopted.

There were four thematic maps, and three box maps created to analyse the dependent variables, mentioned above. SVI and MHDI, inadequate antenatal care and reduced Apgar score at the 1st and 5th minute showed IM significant with preventable deaths in the neonatal population. A concentration of preventable deaths was identified in the southern region of the state.

The data presented can support municipal managers, demonstrating the need for investment in maternal and child health.

## Full-text entities

- **Diseases:** deaths (MESH:D003643)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

29 references — full list in the complete paper: https://tomesphere.com/paper/PMC12623002/full.md

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Source: https://tomesphere.com/paper/PMC12623002