Evidence map›Paper›PMID 36753255›Full record

ArticleRevista brasileira de enfermagem2023

Spatial modeling of homicide mortality in the Northeast region of Brazil.

Carlos Carvalho da Silva, Katyucia Oliveira Crispim de Souza, Wandklebson Silva da Paz, Antônio Pedro Santana Santos, Luís Ricardo Santos de Melo, Álvaro Francisco Lopes de Sousa, Damião da Conceição Araújo, Allan Dantas Dos Santos

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Article in Revista brasileira de enfermagem, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Carlos Carvalho da SilvaUniversidade Federal de Sergipe. Aracaju, Sergipe, Brazil.ORCID 0000-0003-0232-137X
Katyucia Oliveira Crispim de SouzaUniversidade de São Paulo. São Paulo, Brazil.ORCID 0000-0002-1645-4459
Wandklebson Silva da PazUniversidade Federal de Pernambuco. Recife, Pernambuco, Brazil.ORCID 0000-0002-2898-2646
Antônio Pedro Santana SantosUniversidade Federal de Sergipe. Aracaju, Sergipe, Brazil.ORCID 0000-0001-7768-7005
Luís Ricardo Santos de MeloUniversidade Federal de Sergipe. Aracaju, Sergipe, Brazil.ORCID 0000-0002-6771-1961
Álvaro Francisco Lopes de SousaUniversidade de São Paulo. Ribeirão Preto, São Paulo, Brazil.ORCID 0000-0003-2710-2122
Damião da Conceição AraújoUniversidade Federal de Sergipe. Aracaju, Sergipe, Brazil.ORCID 0000-0003-1116-170X
Allan Dantas Dos SantosUniversidade Federal de Sergipe. Aracaju, Sergipe, Brazil.ORCID 0000-0002-6529-1887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the spatiotemporal distribution of homicide mortality and association with social determinants of health in the Northeast Region of Brazil.

methodsEcological study with spatiotemporal modeling of homicide deaths between 2000 and 2019. Temporal trends were analyzed by segmented linear regression. Crude mortality was calculated and adjusted by smoothing the local empirical Bayesian method and analyzed by the Global/Local Moran Index and spatiotemporal scan statistics. The association between social determinants of health and homicide mortality was performed using multiple linear regression and autoregressive spatial models.

results353,089 deaths were recorded. Mortality increased from 2000 to 2019, with an annual increase of 4.37 in males and 3.57 in females. High risk spatial and spatiotemporal clusters were identified in the coastal region of the states. The spatial regression model showed an association with socioeconomic inequalities.

conclusionsHigh risk areas for homicides associated with socioeconomic inequality, which should be considered as a priority for designing and investing in public health policies were investigated.

Indexed as

HomicideBayes TheoremBrazilFemaleHumansMaleMultivariate AnalysisSocioeconomic Factors

Identifiers

PMID36753255
PMCPMC9901349

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.