Cargando…
The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data
BACKGROUND: Road traffic injuries (RTIs) are the eighth-leading cause of death worldwide, with low- and middle-income countries sharing a disproportionate number of fatalities. African countries, like Rwanda, carry a higher burden of these fatalities and with increased economic growth, these numbers...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971670/ https://www.ncbi.nlm.nih.gov/pubmed/27485433 http://dx.doi.org/10.1186/s12889-016-3359-4 |
_version_ | 1782446145774026752 |
---|---|
author | Patel, Anjni Krebs, Elizabeth Andrade, Luciano Rulisa, Stephen Vissoci, João Ricardo N. Staton, Catherine A. |
author_facet | Patel, Anjni Krebs, Elizabeth Andrade, Luciano Rulisa, Stephen Vissoci, João Ricardo N. Staton, Catherine A. |
author_sort | Patel, Anjni |
collection | PubMed |
description | BACKGROUND: Road traffic injuries (RTIs) are the eighth-leading cause of death worldwide, with low- and middle-income countries sharing a disproportionate number of fatalities. African countries, like Rwanda, carry a higher burden of these fatalities and with increased economic growth, these numbers are expected to rise. We aim to describe the epidemiology of RTIs in Kigali Province, Rwanda and create a hotspot map of crashes from police data. METHODS: Road traffic crash (RTC) report data from January 1, 2013 to December 31, 2013 was collected from Kigali Traffic Police. In addition to analysis of descriptive data, locations of RTCs were mapped and analyzed through exploratory spatial data analysis to determine hotspots. RESULTS: A total of 2589 of RTCs were reported with 4689 total victims. The majority of victims were male (94.7 %) with an average age of 35.9 years. Cars were the most frequent vehicle involved (43.8 %), followed by motorcycles (14.5 %). Motorcycles had an increased risk of involvement in grievous crashes and pedestrians and cyclists were more likely to have grievous injuries. The hotspots identified were primarily located along the major roads crossing Kigali and the two busiest downtown areas. CONCLUSIONS: Despite significant headway by the government in RTC prevention, there continue to be high rates of RTIs in Rwanda, specifically with young males and a vulnerable road user population, such as pedestrians and motorcycle users. Improvements in police data and reporting by laypersons could prove valuable for further geographic information system analysis and efforts towards crash prevention and targeting education to motorcycle taxis could help reduce RTIs in a severely affected population. |
format | Online Article Text |
id | pubmed-4971670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49716702016-08-04 The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data Patel, Anjni Krebs, Elizabeth Andrade, Luciano Rulisa, Stephen Vissoci, João Ricardo N. Staton, Catherine A. BMC Public Health Research Article BACKGROUND: Road traffic injuries (RTIs) are the eighth-leading cause of death worldwide, with low- and middle-income countries sharing a disproportionate number of fatalities. African countries, like Rwanda, carry a higher burden of these fatalities and with increased economic growth, these numbers are expected to rise. We aim to describe the epidemiology of RTIs in Kigali Province, Rwanda and create a hotspot map of crashes from police data. METHODS: Road traffic crash (RTC) report data from January 1, 2013 to December 31, 2013 was collected from Kigali Traffic Police. In addition to analysis of descriptive data, locations of RTCs were mapped and analyzed through exploratory spatial data analysis to determine hotspots. RESULTS: A total of 2589 of RTCs were reported with 4689 total victims. The majority of victims were male (94.7 %) with an average age of 35.9 years. Cars were the most frequent vehicle involved (43.8 %), followed by motorcycles (14.5 %). Motorcycles had an increased risk of involvement in grievous crashes and pedestrians and cyclists were more likely to have grievous injuries. The hotspots identified were primarily located along the major roads crossing Kigali and the two busiest downtown areas. CONCLUSIONS: Despite significant headway by the government in RTC prevention, there continue to be high rates of RTIs in Rwanda, specifically with young males and a vulnerable road user population, such as pedestrians and motorcycle users. Improvements in police data and reporting by laypersons could prove valuable for further geographic information system analysis and efforts towards crash prevention and targeting education to motorcycle taxis could help reduce RTIs in a severely affected population. BioMed Central 2016-08-02 /pmc/articles/PMC4971670/ /pubmed/27485433 http://dx.doi.org/10.1186/s12889-016-3359-4 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Patel, Anjni Krebs, Elizabeth Andrade, Luciano Rulisa, Stephen Vissoci, João Ricardo N. Staton, Catherine A. The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data |
title | The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data |
title_full | The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data |
title_fullStr | The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data |
title_full_unstemmed | The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data |
title_short | The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data |
title_sort | epidemiology of road traffic injury hotspots in kigali, rwanda from police data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971670/ https://www.ncbi.nlm.nih.gov/pubmed/27485433 http://dx.doi.org/10.1186/s12889-016-3359-4 |
work_keys_str_mv | AT patelanjni theepidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT krebselizabeth theepidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT andradeluciano theepidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT rulisastephen theepidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT vissocijoaoricardon theepidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT statoncatherinea theepidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT patelanjni epidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT krebselizabeth epidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT andradeluciano epidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT rulisastephen epidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT vissocijoaoricardon epidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata AT statoncatherinea epidemiologyofroadtrafficinjuryhotspotsinkigalirwandafrompolicedata |