Author:

• Ianne Vitória Gomes Oliveira - Oliveira, I.V.G - <ianne.gomesoliveiraa@gmail.com>
ORCID: https://orcid.org/0000-0003-2595-2174

Co-author(s):

• Thatiana Araujo Maranhão - Maranhão, T.A - <thatianamaranhao@phb.uespi.br>
ORCID: https://orcid.org/0000-0003-4003-1365
• Thalis Kennedy Azevedo de Araujo - Araujo, T.K.A - <thalisaraujo@aluno.uespi.br>
ORCID: https://orcid.org/0000-0002-2404-6404
• Maria Madalena Cardoso da Frota - Frota, M.M.C - <frotamadalena2001@gmail.com>
ORCID: https://orcid.org/0000-0003-1538-0037
• Samir da Rocha Fernandes Torres - Torres, S.R.F - <samirtorres@aluno.uespi.br>
ORCID: https://orcid.org/0000-0002-0372-8609
• Maria Izabel Félix Rocha - Rocha, M.I.F - <izabelfelix14@gmail.com>
ORCID: https://orcid.org/0000-0003-3134-0959
• Maria Eduarda da Silva Xavier - Xavier, M.E.S - <mariaeduardadsx@gmail.com>
ORCID: https://orcid.org/0000-0001-6834-8212
• George Jó Bezerra Sousa - Sopusa, G.J.B - <georgejobs@hotmail.com>
ORCID: https://orcid.org/0000-0003-0291-6613

Abstract:

Objective: To analyze the spatial and temporal pattern and identify socioeconomic indicators related to Maternal Mortality Ratio (MMR) in Brazil2010 to 2020. Methods: An ecological study that analyzed the MMR of Brazilian municipal, using datathe Department of Informatics of the Unified Health System. The Joinpoint method was used for temporal analysis. Bayesian analysis, spatial autocorrelation, and Getis Ord Gi and Scan techniques were used to identify spatial clusters. Four multivariate non-spatial and spatial regression models were adopted to identify factors associated with MMR. All statistics considered p

Keywords:

Maternal Mortality; Epidemiology; Spatial Analysis; Time Series Studies.

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