Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Oct 25, 2024
Date Accepted: Dec 19, 2024

The final, peer-reviewed published version of this preprint can be found here:

Spatiotemporal Trends in Deaths From External Causes in Brazil: 23-Year Ecological and Population-Based Study

Andrade LA, Silva da Paz W, Santos de Melo LR, dos Santos Tavares D, Lopes de Sousa AF, Silva Camargo EL, Arena Ventura CA, Silva Souza RC, Gomes Machado de Araújo KC, Freire de Souza CD, dos Santos AD, Campos FAAC, Bezerra Santos M

Spatiotemporal Trends in Deaths From External Causes in Brazil: 23-Year Ecological and Population-Based Study

JMIR Public Health Surveill 2025;11:e68002

DOI: 10.2196/68002

PMID: 40960187

PMCID: 12441753

Spatiotemporal Trends in Deaths From External Causes in Brazil: 23-Year Ecological and Population-Based Study

  • Lucas Almeida Andrade; 
  • Wandklebson Silva da Paz; 
  • Luís Ricardo Santos de Melo; 
  • Débora dos Santos Tavares; 
  • Alvaro Francisco Lopes de Sousa; 
  • Emerson Lucas Silva Camargo; 
  • Carla Aparecida Arena Ventura; 
  • Regina Claudia Silva Souza; 
  • Karina Conceição Gomes Machado de Araújo; 
  • Carlos Dornels Freire de Souza; 
  • Allan Dantas dos Santos; 
  • Fagner Alfredo Ardisson Cirino Campos; 
  • Márcio Bezerra Santos

Background:

Mortality from external causes is a major public health issue globally, with significant impacts on both lives and economies. In Brazil, external cause mortality has shown spatiotemporal variations across regions, which are influenced by social, economic, and demographic factors.

Objective:

to examine the spatiotemporal dynamics of mortality from external causes in Brazil over a period of 23 years (2000-2022), identifying patterns across regions and demographic groups, and assessing the major contributing causes of death.

Methods:

This ecological study used data from the Brazilian Mortality Information System (SIM) and employed Joinpoint regression to analyze temporal trends, Moran's I for spatial analysis, and Poisson scanning statistics for spatiotemporal patterns. A total of 3,240,023 deaths were analyzed, with specific attention given to regional and demographic disparities.

Results:

The study found that mortality from external causes remained significant, with men and young adults (20–39 years) having the highest rates of death. The main causes of death were assaults (36.61%), transport accidents (26.55%), falls (7.83%), and self-harm (7.43%). Despite an overall decrease in mortality, increases were observed in the North and Northeast regions and among the elderly. High-risk areas were predominantly located in the North, Northeast, and Central-West regions. The mortality trends varied by region, with significant differences in risk across the country.

Conclusions:

Although there was a general reduction in mortality from external causes in Brazil, this trend was not uniform across all regions. The North, Northeast, and Central-West regions showed the highest mortality risks, with men and young adults being the most affected demographic groups. These findings emphasize the need for targeted public health interventions that address the regional and demographic disparities in mortality from external causes.

ClinicalTrial:


 Citation

Please cite as:

Andrade LA, Silva da Paz W, Santos de Melo LR, dos Santos Tavares D, Lopes de Sousa AF, Silva Camargo EL, Arena Ventura CA, Silva Souza RC, Gomes Machado de Araújo KC, Freire de Souza CD, dos Santos AD, Campos FAAC, Bezerra Santos M

Spatiotemporal Trends in Deaths From External Causes in Brazil: 23-Year Ecological and Population-Based Study

JMIR Public Health Surveill 2025;11:e68002

DOI: 10.2196/68002

PMID: 40960187

PMCID: 12441753

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.