Skip to main content
Top
Published in: BMC Public Health 1/2016

Open Access 01-12-2016 | Research article

The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data

Authors: Anjni Patel, Elizabeth Krebs, Luciano Andrade, Stephen Rulisa, João Ricardo N. Vissoci, Catherine A. Staton

Published in: BMC Public Health | Issue 1/2016

Login to get access

Abstract

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.
Literature
1.
go back to reference Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet (London, England). 2015;385(9963):117–71. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet (London, England). 2015;385(9963):117–71.
2.
go back to reference Violence, injuries and disability. Biennial Report 2008–2009. Geneva: World Health Organization; 2010. Violence, injuries and disability. Biennial Report 2008–2009. Geneva: World Health Organization; 2010.
4.
go back to reference Global status report on road safety 2013: supporting a decade of action. Geneva: World Health Organization; 2013. Global status report on road safety 2013: supporting a decade of action. Geneva: World Health Organization; 2013.
5.
go back to reference Peden M, Scurfield R, Sleet D, Mohan D, Hyder AA, Jarawan E, et al. World report on road traffic injury prevention: summary. Geneva: World Health Organization; 2004. Peden M, Scurfield R, Sleet D, Mohan D, Hyder AA, Jarawan E, et al. World report on road traffic injury prevention: summary. Geneva: World Health Organization; 2004.
6.
go back to reference Kumar A. Understanding the emerging role of motorcycles in African cities. Sub-Saharan Africa Transport Policy Program. 2011. Kumar A. Understanding the emerging role of motorcycles in African cities. Sub-Saharan Africa Transport Policy Program. 2011.
7.
go back to reference Global status report on road safety: time for action. Geneva: World Health Organization; 2009. Global status report on road safety: time for action. Geneva: World Health Organization; 2009.
8.
go back to reference Statistical Yearbook 2014. Rwanda: National Institute of Statistics of Rwanda; 2014. Statistical Yearbook 2014. Rwanda: National Institute of Statistics of Rwanda; 2014.
9.
go back to reference Rollason W. Performance, poverty and urbandevelopment: Kigali’s motari andthe spectacle city. Afrika Focus. 2013;26(2):9–29. Rollason W. Performance, poverty and urbandevelopment: Kigali’s motari andthe spectacle city. Afrika Focus. 2013;26(2):9–29.
10.
go back to reference Statistical Yearbook 2015. Rwanda: National Institute of Statistics Rwanda; 2015. Statistical Yearbook 2015. Rwanda: National Institute of Statistics Rwanda; 2015.
11.
go back to reference Nsereko E, Brysiewicz P. Injury surveillance in a central hospital in Kigali, Rwanda. J Emerg Nurs. 2010;36(3):212–6.CrossRefPubMed Nsereko E, Brysiewicz P. Injury surveillance in a central hospital in Kigali, Rwanda. J Emerg Nurs. 2010;36(3):212–6.CrossRefPubMed
12.
go back to reference Twagirayezu E, Teteli R, Bonane A, Rugwizangoga E. Road Traffic Injuries at Kigali University Central Teaching Hospital, Rwanda. East Cent Afr J Surg. 2008;13(1):73–6. Twagirayezu E, Teteli R, Bonane A, Rugwizangoga E. Road Traffic Injuries at Kigali University Central Teaching Hospital, Rwanda. East Cent Afr J Surg. 2008;13(1):73–6.
13.
go back to reference Braddock M, Lapidus G, Cromley E, Cromley R, Burke G, Banco L. Using a geographic information system to understand child pedestrian injury. Am J Public Health. 1994;84(7):1158–61.CrossRefPubMedPubMedCentral Braddock M, Lapidus G, Cromley E, Cromley R, Burke G, Banco L. Using a geographic information system to understand child pedestrian injury. Am J Public Health. 1994;84(7):1158–61.CrossRefPubMedPubMedCentral
14.
go back to reference Clifton KJ, Kreamer-Fults K. An examination of the environmental attributes associated with pedestrian-vehicular crashes near public schools. Accid Anal Prev. 2007;39(4):708–15.CrossRefPubMed Clifton KJ, Kreamer-Fults K. An examination of the environmental attributes associated with pedestrian-vehicular crashes near public schools. Accid Anal Prev. 2007;39(4):708–15.CrossRefPubMed
15.
go back to reference Schuurman N, Cinnamon J, Crooks VA, Hameed SM. Pedestrian injury and the built environment: an environmental scan of hotspots. BMC Public Health. 2009;9:233.CrossRefPubMedPubMedCentral Schuurman N, Cinnamon J, Crooks VA, Hameed SM. Pedestrian injury and the built environment: an environmental scan of hotspots. BMC Public Health. 2009;9:233.CrossRefPubMedPubMedCentral
16.
go back to reference Abegaz T, Berhane Y, Worku A, Assrat A. Effectiveness of an improved road safety policy in Ethiopia: an interrupted time series study. BMC Public Health. 2014;14:539.CrossRefPubMedPubMedCentral Abegaz T, Berhane Y, Worku A, Assrat A. Effectiveness of an improved road safety policy in Ethiopia: an interrupted time series study. BMC Public Health. 2014;14:539.CrossRefPubMedPubMedCentral
18.
go back to reference Mortality in Africa: the share of road traffic fatalities. Denmark: African Development Bank; 2013. Mortality in Africa: the share of road traffic fatalities. Denmark: African Development Bank; 2013.
19.
go back to reference Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.CrossRefPubMed Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.CrossRefPubMed
20.
go back to reference van Buuren S, Groothuis-Oudshoorn K. MICE: Multivariate Imputation by Chained Equations in R. J Stat Softw. 2011;45(3):1–67.CrossRef van Buuren S, Groothuis-Oudshoorn K. MICE: Multivariate Imputation by Chained Equations in R. J Stat Softw. 2011;45(3):1–67.CrossRef
22.
go back to reference Câmara G, Carvalho M. Análise Espacial de Eventos. Análise Espacial de Dados Geográficos. 2002. Câmara G, Carvalho M. Análise Espacial de Eventos. Análise Espacial de Dados Geográficos. 2002.
23.
go back to reference Anselin L, Bera A. Spatial dependence in linear regression models with an introduction to spatial econometrics. Stat Textbooks Monogr. 1998;155:237–90. Anselin L, Bera A. Spatial dependence in linear regression models with an introduction to spatial econometrics. Stat Textbooks Monogr. 1998;155:237–90.
24.
go back to reference Waller LA, Gotway CA. Applied Spatial Statistics for Public Health Data. New York: Wiley; 2004.CrossRef Waller LA, Gotway CA. Applied Spatial Statistics for Public Health Data. New York: Wiley; 2004.CrossRef
25.
go back to reference Team QD. Geographic Information System User Guide. 2014. Open Source Geospatial Foundation Project. Team QD. Geographic Information System User Guide. 2014. Open Source Geospatial Foundation Project.
26.
go back to reference Bailey TC, Gatrell AC. Interactive Spatial Data Analysis. New York: John Wiley and Sons; 1995. Bailey TC, Gatrell AC. Interactive Spatial Data Analysis. New York: John Wiley and Sons; 1995.
27.
go back to reference Naci H, Chisholm D, Baker TD. Distribution of road traffic deaths by road user group: a global comparison. Inj Prev. 2009;15(1):55–9.CrossRefPubMed Naci H, Chisholm D, Baker TD. Distribution of road traffic deaths by road user group: a global comparison. Inj Prev. 2009;15(1):55–9.CrossRefPubMed
28.
go back to reference Statistical Yearbook 2013. Rwanda: National Institute of Statistics of Rwanda; 2013. Statistical Yearbook 2013. Rwanda: National Institute of Statistics of Rwanda; 2013.
29.
go back to reference Dandona R, Kumar GA, Ameer MA, Reddy GB, Dandona L. Under-reporting of road traffic injuries to the police: results from two data sources in urban India. Inj Prev. 2008;14(6):360–5.CrossRefPubMedPubMedCentral Dandona R, Kumar GA, Ameer MA, Reddy GB, Dandona L. Under-reporting of road traffic injuries to the police: results from two data sources in urban India. Inj Prev. 2008;14(6):360–5.CrossRefPubMedPubMedCentral
30.
go back to reference Periyasamy N, Lynch CA, Dharmaratne SD, Nugegoda D, Ostbye T. Under reporting of road traffic injuries in the district of Kandy, Sri Lanka. BMJ Open. 2013;3(11):e003640.CrossRefPubMedPubMedCentral Periyasamy N, Lynch CA, Dharmaratne SD, Nugegoda D, Ostbye T. Under reporting of road traffic injuries in the district of Kandy, Sri Lanka. BMJ Open. 2013;3(11):e003640.CrossRefPubMedPubMedCentral
31.
go back to reference Khorasani Zavareh D, Mohammadi R, Laflamme L, Naghavi M, Zarei A, Haglund BJ. Estimating road traffic mortality more accurately: use of the capture-recapture method in the West Azarbaijan province of Iran. Int J Inj Control Saf Promot. 2008;15(1):9–17.CrossRef Khorasani Zavareh D, Mohammadi R, Laflamme L, Naghavi M, Zarei A, Haglund BJ. Estimating road traffic mortality more accurately: use of the capture-recapture method in the West Azarbaijan province of Iran. Int J Inj Control Saf Promot. 2008;15(1):9–17.CrossRef
32.
go back to reference Bhatti JA, Razzak JA, Lagarde E, Salmi LR. Differences in police, ambulance, and emergency department reporting of traffic injuries on Karachi-Hala road, Pakistan. BMC Res Notes. 2011;4:75.CrossRefPubMedPubMedCentral Bhatti JA, Razzak JA, Lagarde E, Salmi LR. Differences in police, ambulance, and emergency department reporting of traffic injuries on Karachi-Hala road, Pakistan. BMC Res Notes. 2011;4:75.CrossRefPubMedPubMedCentral
33.
go back to reference Samuel JC, Sankhulani E, Qureshi JS, Baloyi P, Thupi C, Lee CN, et al. Under-reporting of road traffic mortality in developing countries: application of a capture-recapture statistical model to refine mortality estimates. PLoS One. 2012;7(2):e31091.CrossRefPubMedPubMedCentral Samuel JC, Sankhulani E, Qureshi JS, Baloyi P, Thupi C, Lee CN, et al. Under-reporting of road traffic mortality in developing countries: application of a capture-recapture statistical model to refine mortality estimates. PLoS One. 2012;7(2):e31091.CrossRefPubMedPubMedCentral
34.
go back to reference Abegaz T, Berhane Y, Worku A, Assrat A, Assefa A. Road traffic deaths and injuries are under-reported in Ethiopia: a capture-recapture method. PLoS One. 2014;9(7):e103001.CrossRefPubMedPubMedCentral Abegaz T, Berhane Y, Worku A, Assrat A, Assefa A. Road traffic deaths and injuries are under-reported in Ethiopia: a capture-recapture method. PLoS One. 2014;9(7):e103001.CrossRefPubMedPubMedCentral
35.
go back to reference Global status report on road safety 2015. Geneva: World Health Organization; 2015. Global status report on road safety 2015. Geneva: World Health Organization; 2015.
36.
go back to reference Onywera VO, Blanchard C. Road accidents: a third burden of ‘disease’ in sub-Saharan Africa. Glob Health Promot. 2013;20(4):52–5.CrossRefPubMed Onywera VO, Blanchard C. Road accidents: a third burden of ‘disease’ in sub-Saharan Africa. Glob Health Promot. 2013;20(4):52–5.CrossRefPubMed
37.
go back to reference Brown H. Rwanda’s road-safety transformation. Bulletin World Health Organ. 2007;85(6):425–6. Brown H. Rwanda’s road-safety transformation. Bulletin World Health Organ. 2007;85(6):425–6.
Metadata
Title
The epidemiology of road traffic injury hotspots in Kigali, Rwanda from police data
Authors
Anjni Patel
Elizabeth Krebs
Luciano Andrade
Stephen Rulisa
João Ricardo N. Vissoci
Catherine A. Staton
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3359-4

Other articles of this Issue 1/2016

BMC Public Health 1/2016 Go to the issue