2016
DOI: 10.1186/s12889-016-3359-4
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Abstract: BackgroundRoad 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.MethodsRoad traffic crash (RTC) report data from January 1, 2013 to De… Show more

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Cited by 48 publications
(36 citation statements)
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“…Emergency care surveillance can take place in many settings based on the location of a patient with an emergency condition and can make use of many sources of health. In addition to facility records, emergency care surveillance can use alternate sources of data such as ambulance records (eg, road traffic injuries),17 community surveillance (eg, drowning registry),18 as well as data from non-medical sources of data (eg, police records with notations of injuries/fatalities from interpersonal violence),19 20 insurance and labour information on workplace injuries21 and mortuary records22 that provide a cause (even if not precise) of deaths to contribute to understanding emergency care in an LMIC community. Ideal surveillance systems would integrate and harmonise multiple sources of data and allow for analysis of non-health databases to generate information about illnesses and injuries of local interest.…”
Section: Emergency Care System Surveillance: Potential Sources Of Datamentioning
confidence: 99%
“…Emergency care surveillance can take place in many settings based on the location of a patient with an emergency condition and can make use of many sources of health. In addition to facility records, emergency care surveillance can use alternate sources of data such as ambulance records (eg, road traffic injuries),17 community surveillance (eg, drowning registry),18 as well as data from non-medical sources of data (eg, police records with notations of injuries/fatalities from interpersonal violence),19 20 insurance and labour information on workplace injuries21 and mortuary records22 that provide a cause (even if not precise) of deaths to contribute to understanding emergency care in an LMIC community. Ideal surveillance systems would integrate and harmonise multiple sources of data and allow for analysis of non-health databases to generate information about illnesses and injuries of local interest.…”
Section: Emergency Care System Surveillance: Potential Sources Of Datamentioning
confidence: 99%
“…In our study, among the trauma cases with complete data (42%), pedestrians (21.5%, n = 47) were the most affected amongst all road users and men were more affected, contributing to about 65.8% (144) of the road trauma burden among the reported events. Even though our data suggests massive underreporting, his result a rms locally the global concern for road safety for vulnerable road users and men as high risk groups [35][1].…”
Section: Data Quality Assessmentmentioning
confidence: 99%
“…Not much research on injuries has been engaged in Central-Eastern Africa as in other regions in sub-Saharan Africa and in this region research has concentrated on specific socio-economic and demographic variables. In a study of the epidemiology of road traffic injury in Kigali, Rwanda using police data, Patel et al (2016) observed that the majority of injury victims were male with an average age of 35.9 years and cars were the most frequent vehicle involved followed by motorcycles with pedestrians and cyclists being more likely to have grievous injuries. Most of these findings correspond with other findings in other empirical studies in the sampled countries in sub-Saharan Africa.…”
Section: Rwandamentioning
confidence: 99%