Evidence map›Paper›PMID 32892747›Full record

ArticleInjury epidemiology2020

Mapping disparities in homicide trends across Brazil: 2000-2014.

Elaine Okanyene Nsoesie, Antonio S Lima Neto, Jonathan Jay, Hailun Wang, Kate Zinszer, Sudipta Saha, Adyasha Maharana, Fatima Marinho, Adauto Martins Soares Filho

Abstract read
In one paragraph

Article in Injury epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Elaine Okanyene NsoesieDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA. onelaine@bu.edu.
Antonio S Lima NetoFortaleza Municipal Health Secretariat (SMS-Fortaleza), Fortaleza, Ceará, Brazil.
Jonathan JayFirearm-safety Among Children and Teens Consortium, University of Michigan School of Medicine, Ann Arbor, MI, USA.
Hailun WangDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.
Kate ZinszerDepartment of Social and Preventive Medicine, University of Montreal, Montreal, Quebec, Canada.
Sudipta SahaDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Adyasha MaharanaDepartment of Computer Science, University of North Carolina, Chapel Hill, NC, USA.
Fatima MarinhoDepartment of Health Surveillance, Ministry of Health, Brasilia, Brazil.
Adauto Martins Soares FilhoDepartment of Health Surveillance, Ministry of Health, Brasilia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHomicides are a major problem in Brazil. Drugs and arms trafficking, and land conflicts are three of the many factors driving homicide rates in Brazil. Understanding long-term spatiotemporal trends and social structural factors associated with homicides in Brazil would be useful for designing policies aimed at reducing homicide rates.

methodsWe obtained data from 2000 to 2014 from the Brazil Ministry of Health (MOH) Mortality Information System and sociodemographic data from the Brazil Institute of Geography and Statistics (IBGE). First, we quantified the rate of change in homicides at the municipality and state levels. Second, we used principal component regression and k-medoids clustering to examine differences in temporal trends across municipalities. Lastly, we used Bayesian hierarchical space-time models to describe spatio-temporal patterns and to assess the contribution of structural factors.

resultsThere were significant variations in homicide rates across states and municipalities. We noted the largest decrease in homicide rates in the western and southeastern states of Sao Paulo, Rio de Janeiro and Espirito Santo, which coincided with an increase in homicide rates in the northeastern states of Ceará, Alagoas, Paraiba, Rio Grande Norte, Sergipe and Bahia during the fifteen-year period. The decrease in homicides in municipalities with populations of at least 250,000 coincided with an increase in municipalities with 25,000 people or less. Structural factors that predicted municipality-level homicide rates included crude domestic product, urbanization, border with neighboring countries and proportion of population aged fifteen to twenty-nine.

conclusionsOur findings support both a dissemination hypothesis and an interiorization hypothesis. These findings should be considered when designing interventions to curb homicide rates.

Indexed as

BrazilHomicideViolent crimes

Identifiers

PMID32892747
PMCPMC7487619

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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.