Maternal mortality in Brazil

An analysis of temporal trends and spatial clustering

Datos Bibliográficos

ID16827235
AutoresIanne Vitória Gomes Oliveira (0000-0003-2595-2174, Universidade Estadual do Piauí), Thatiana Araujo Maranhão (0000-0003-4003-1365, Universidade Estadual do Piauí), Maria Madalena Cardoso Da Frota (0000-0003-1538-0037, Universidade Estadual do Piauí), Thalis Kennedy Azevedo De Araujo (0000-0002-2404-6404, Universidade Estadual do Piauí), Samir da Rocha Fernandes Torres (0000-0002-0372-8609, Universidade Estadual do Piauí), Maria Izabel Félix Rocha (0000-0003-3134-0959, Universidade Estadual do Piauí), Maria Eduarda da Silva Xavier (0000-0001-6834-8212, Prefeitura Municipal de Campinas, Brasil), George Jó Bezerra Sousa (0000-0003-0291-6613, Universidade Estadual do Ceará)
Año2024
Volumen29
Número10
Fecha de publicación2024-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCiência & Saúde Coletiva (JOURNAL)
Identificadores de la revistaISSN: 1413-8123 • E-ISSN: 1678-4561
EditorialFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1413-812320242910.05012023en
OpenAlexW4402801973
SCIELO_PIDS1413-81232024001000808
IdiomaEN
Referencias citadas18

This article aims to analyze spatial and temporal patterns of maternal mortality in Brazil during the period 2010-2020 and identify related socioeconomic indicators. We conducted an ecological study of the maternal mortality ratio (MMR) in Brazil’s municipalities using secondary data. Temporal analysis was performed using the joinpoint method. Bayesian statistics, spatial autocorrelation, the Getis Ord Gi* technique and the scan statistic were used to identify spatial clusters, and multiple non-spatial and spatial regression models were used to assess the association between factors and the MMR. There was an increase in the MMR in 2020 and an increase in deaths in the North and Southeast. Clusters were found in Amazonas, Tocantins, Piauí, Maranhão, Bahia and Mato Grosso do Sul. The following indicators were negatively associated with the MMR: cesarean section rate, Municipal Human Development Index, and per capita household income of people who are vulnerable to poverty. The MMR was stable up to 2019, followed by a sharp rise in 2020 coinciding with the onset of the Covid-19 pandemic in the country. It is essential that efforts to reduce maternal mortality in Brazil extend beyond the promotion of improvements in antenatal, childbirth and postpartum care to address the social determinants of the problem

Cluster analysis · Geography · Computer Science · Global Health Care Issues · Global Maternal and Child Health · Maternal and Neonatal Healthcare · Artificial Intelligence