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1.
PLoS One ; 9(7): e103001, 2014.
Article in English | MEDLINE | ID: mdl-25054440

ABSTRACT

In low and middle income countries road traffic injuries are commonly under-reported. This problem is significantly higher among those less severely injured road users. The objective of this study was to determine the incidence and the level of ascertainment of road traffic injuries and deaths by traffic police and hospital registry. In this study two-sample capture-recapture method was applied using data from traffic police and hospital injury surveillance, through June 2012 to May 2013. The study was conducted on one of the busiest highways in Ethiopia, the Addis Ababa - Hawassa highway. Primary data were collected by accident investigators and hospital emergency nurses using a structured checklist. Four matching variables; name of the victim, sex, place and time of the accidents was used to get the matched cases. During the study period the police independently reported 224 deaths and 446 injuries/billion vehicle kilometer while hospitals reported 123 deaths and 1,046 injuries/billion vehicle kilometer. Both sources in common captured 73 deaths and 248 injuries/billion vehicle kilometer. Taking the two data sources into consideration, the capture-recapture model estimated the incidence of deaths and injuries ranged 368-390 and 1,869-1,895 per billion vehicle kilometer, respectively. The police source captured 57.4%-60.9% of deaths and 23.5%-23.9% of injuries while the hospital sources captured 31.5%-33.4% of deaths and 55.2%-56% of injuries. Deaths and injuries among females, younger age victims, cyclists/motorcyclists and pedestrians were under-reported by traffic police. In conclusion neither of the two sources independently provided accurate coverage of road traffic incident related deaths and injuries. Strengthening both systems is necessary to obtain accurate information on road accidents and human causalities.


Subject(s)
Accidents, Traffic/mortality , Accidents, Traffic/statistics & numerical data , Hospital Records , Police , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Ethiopia , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Registries , Young Adult
2.
BMC Public Health ; 14: 539, 2014 May 31.
Article in English | MEDLINE | ID: mdl-24886220

ABSTRACT

BACKGROUND: In recent years, there has been an increasing interest in implementing road safety policy by different low income countries. However; the evidence is scarce on its success in the reduction of crashes, injuries and deaths. This study was conducted to assess whether road crashes, injuries and fatalities was reduced following the road safety regulation introduced as of September 2007 by Oromia Regional State Transport Bureau. METHODS: Routine road traffic accident data for the year 2002-2011were collected from sixteen traffic police offices. Data on average daily vehicle flow was obtained from the Ethiopian Road Authority. Interrupted time series design using segmented linear regression model was applied to estimate the effect of an improved road safety policy. RESULTS: A total of 4,053 crashes occurred on Addis Ababa - Adama/Hawassa main road. Of these crashes, almost half 46.4% (1,880) were property damage, 29.4% (1,193) were fatal and 24.2% (980) injury crashes, resulting 1,392 fatalities and 1,749 injuries. There were statistically significant reductions in non-injury crashes and deaths. Non-injury crash was reduced by 19% and fatality by 12.4% in the first year of implementing the revised transport safety regulation. CONCLUSION: Although revised road safety policy helped in reducing motor vehicle crashes and associated fatalities, the overall incidence rate is still very high. Further action is required to avoid unnecessary loss of lives.


Subject(s)
Accident Prevention/legislation & jurisprudence , Accidents, Traffic/statistics & numerical data , Accidents, Traffic/prevention & control , Ethiopia/epidemiology , Humans , Interrupted Time Series Analysis , Public Policy
3.
Accid Anal Prev ; 71: 15-21, 2014 Oct.
Article in English | MEDLINE | ID: mdl-24866353

ABSTRACT

The severity of injury from vehicle crash is a result of a complex interaction of factors related to drivers' behavior, vehicle characteristics, road geometric and environmental conditions. Knowing to what extent each factor contributes to the severity of an injury is very important. The objective of the study was to assess factors that contribute to crash injury severity in Ethiopia. Data was collected from June 2012 to July 2013 on one of the main and busiest highway of Ethiopia, which extends from the capital Addis Ababa to Hawassa. During the study period a total of 819 road crashes was recorded and investigated by trained crash detectors. A generalized ordered logit/partial proportional odds model was used to examine factors that might influence the severity of crash injury. Model estimation result suggested that, alcohol use (Coef.=0.5565; p-value=0.017), falling asleep while driving (Coef.=1.3102; p-value=0.000), driving at night time in the absence of street light (Coef.=0.3920; p-value=0.033), rainfall (Coef.=0.9164; p-value=0.000) and being a minibus or vans (Coef.=0.5065; p-value=0.013) were found to be increased crash injury severity. On the other hand, speeding was identified to have varying coefficients for different injury levels, its highest effects on sever and fatal crashes. In this study risky driving behaviors (speeding, alcohol use and sleep/fatigue) were a powerful predictor of crash injury severity. Therefore, better driver licensing and road safety awareness campaign complimented with strict police enforcement can play a pivotal role to improve road safety. Further effort needed as well to monitor speed control strategies like; using the radar control and physical speed restraint measures (i.e., rumble strips).


Subject(s)
Accidents, Traffic/statistics & numerical data , Alcohol Drinking/epidemiology , Automobile Driving/statistics & numerical data , Environment Design/statistics & numerical data , Fatigue/epidemiology , Trauma Severity Indices , Adult , Aged , Ethiopia/epidemiology , Female , Humans , Lighting , Logistic Models , Male , Middle Aged , Rain , Sleep Wake Disorders/epidemiology , Young Adult
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