Evidence map›Paper›PMID 41543294›Full record

ArticleRevista da Escola de Enfermagem da U S P2026

Spatial scanning for the identification of risk areas for fetal death: an ecological study in Pernambuco.

Indianara Maria de Barros Canuto, Cristine Vieira do Bonfim, Amanda Priscila de Santana Cabral Silva

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Article in Revista da Escola de Enfermagem da U S P, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Indianara Maria de Barros CanutoFundação Oswaldo Cruz, Instituto Aggeu Magalhães, Recife, PE, Brazil.ORCID 0000-0003-0540-1252
Cristine Vieira do BonfimFundação Oswaldo Cruz, Instituto Aggeu Magalhães, Recife, PE, Brazil.ORCID 0000-0002-4495-9673
Amanda Priscila de Santana Cabral SilvaFundação Oswaldo Cruz, Instituto Aggeu Magalhães, Recife, PE, Brazil.ORCID 0000-0003-2337-9925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the epidemiological characteristics and the use of the spatial scanning technique to identify clusters of fetal deaths in Pernambuco, between 2013 and 2022.

methodAn ecological study having the municipalities as the unit of analysis, carried out in Pernambuco. Data from the Mortality and Live Birth Information Systems have been used. The relative risk of fetal death was calculated, and descriptive statistics and the chi-square test were applied to compare proportions by five-year period. For the spatial analysis, the spatial scanning statistics technique was applied.

resultsA total of 15,336 fetal deaths were recorded, being that 8,132 (53%) were in the first five-year period (2013 to 2017). The variables maternal age, maternal education, type of delivery, fetal sex and birth weight, death in relation to delivery, and place of death, have been related to the five-year periods. Health regions V, VI, VII, and XI presented clusters with a high risk of death.

conclusionThe characterization of fetal deaths allows us to understand the circumstances that led to these deaths. The clusters with the highest risk of death indicate priority regions for health planning interventions to improve the maternal and child care network.

Indexed as

Fetal DeathBrazilFemaleHumansMaternal AgePregnancyRisk FactorsSpatial Analysis

Identifiers

PMID41543294
PMCPMC12810357

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