<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">Health</journal-id><journal-title-group><journal-title>Health</journal-title></journal-title-group><issn pub-type="epub">1949-4998</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/health.2018.106061</article-id><article-id pub-id-type="publisher-id">Health-85486</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Epidemiological Pattern of Injuries Resulting from Road Traffic Accidents in Khartoum, Sudan
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wadha</surname><given-names>Degais</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hiba</surname><given-names>A. Awooda</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mustafa</surname><given-names>Khidir Mustafa Elnimeiri</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lamis</surname><given-names>Kaddam</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Community Medicine, Faculty of Medicine, Alneelain University, Khartoum, Sudan</addr-line></aff><aff id="aff1"><addr-line>Faculty of Medicine, Alneelain University, Khartoum, Sudan</addr-line></aff><aff id="aff2"><addr-line>Department of Physiology, Faculty of Medicine, Alneelain University, Khartoum, Sudan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>h_alsheekh82@yahoo.com(HAA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>05</day><month>06</month><year>2018</year></pub-date><volume>10</volume><issue>06</issue><fpage>816</fpage><lpage>822</lpage><history><date date-type="received"><day>2,</day>	<month>August</month>	<year>2016</year></date><date date-type="rev-recd"><day>22,</day>	<month>June</month>	<year>2018</year>	</date><date date-type="accepted"><day>25,</day>	<month>June</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution-NonCommercial International License (CC BY-NC).http://creativecommons.org/licenses/by-nc/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Traffic accidents are increasingly becoming a threat to public health and national development in many developing countries. Sudan isn’t an exception, the number of vehicles is rapidly increasing while the road’s widths remain as same as before, so many accidents took place, and serious losses and damages to both human beings and vehicles may occur. This study was aimed at identifying the epidemiological pattern of injuries and determinants that contribute to road traffic accidents (RTA) in Khartoum Teaching Hospital Sudan. 
  Methodology: Hospital based descriptive study was conducted in Khartoum Teaching Hospital. 150 road traffic victims who attended the emergency room or were admitted to the hospital from February-May 2012 and fulfilled the inclusion criteria were included in the study. A pre-test standardized administered questionnaire was used for data collection. 
  Results: Males were more affected (85%); laborers were the highest among the victims (43%). Sixty three of RTA causes were related to the drivers. 
  Conclusion: Urgent intervention is needed through the involvement of many sectors and specialties. There is an urgent need to setup a database to collect, store and analyze information related to road traffic accidents. This will help the authorities to plan strategically for appropriate interventions across the country.
 
</p></abstract><kwd-group><kwd>Road</kwd><kwd> Traffic</kwd><kwd> Accidents</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Road traffic accidents which are generally unintended and preventable are a common risk every day to life that can happen to almost every one, anywhere and at any time [<xref ref-type="bibr" rid="scirp.85486-ref1">1</xref>] . The problem of road traffic accidents is increasingly becoming a threat to public health and national development in many developing countries [<xref ref-type="bibr" rid="scirp.85486-ref1">1</xref>] . Road traffic accidents contribute to poverty by causing deaths, injuries, disabilities, grief, and loss of productivity as well as material damages [<xref ref-type="bibr" rid="scirp.85486-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.85486-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.85486-ref4">4</xref>] . In Sudan, the number of vehicles is rapidly increasing and at the same time, the road’s widths remain the same as before. Thus, road traffic problems and conjunction are found anywhere, resulting in many accidents, serious losses and damages to both human beings and vehicles.</p><p>Many factors contribute to RTA such as environmental factors, driver behavior, road conditions and culture of not adopting safety policies like wearing seatbelts or crash helmets [<xref ref-type="bibr" rid="scirp.85486-ref5">5</xref>] . According to the latest WHO data published in 2017, Road Traffic Accidents Deaths in Sudan reached 9882 or 3.69% of total deaths. The age adjusted Death Rate is 35.23 per 100,000 of population; Sudan ranks 27<sup>th</sup> in the world [<xref ref-type="bibr" rid="scirp.85486-ref6">6</xref>] .</p><p>Road traffic accident is an accident, which takes place on the road between two or more objects, one of which must be any kind of a moving vehicle [<xref ref-type="bibr" rid="scirp.85486-ref7">7</xref>] . The aim of this study was to investigate the epidemiological pattern of injuries resulting from road traffic accidents in Khartoum, Sudan.</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Study Design and Sitting</title><p>A hospital-based descriptive study was conducted at Khartoum Teaching Hospital from February to May 2012.</p>Inclusion Criteria<p>All the RTA victims; who attended the emergency room or admitted to the hospital during the study period.</p></sec><sec id="s2_2"><title>2.2. Exclusion Criteria</title><p>Any injury on the road without involvement of a vehicle (e.g. a person slipping and falling on the road and sustaining injury) or injury involving a stationary vehicle (e.g. persons being injured while washing or loading a vehicle).</p></sec><sec id="s2_3"><title>2.3. Method of Data Collection</title><p>The data collection instrument was a pre-test standardized self administered questionnaire composed of 58 close-ended questions. The questions covered the personal identification data, time, place, and cause of the accidents, type of vehicles involved in accidents, category of road users and the types of injuries suffered by the victims.</p></sec><sec id="s2_4"><title>2.4. Ethical Considerations</title><p>An ethical clearance was obtained from the Institutional Review Board at Al Neelain University and permission was obtained from the hospital authority. A verbal inform consent was obtained from each participant prior to the interview.</p></sec><sec id="s2_5"><title>2.5. Data Analysis</title><p>The collected data were analyzed using Statistical Package for Social Sciences (SPSS) version 16.00 and excel tables.</p></sec></sec><sec id="s3"><title>3. Results</title><p>Total number of patents was 150. They fulfilled the inclusion criteria and agreed to participate voluntarily in the study. <xref ref-type="table" rid="table1">Table 1</xref> shows the background characteristics of the participants. Most of them were males (85%). Age ranged from 5 - 50 years. Moreover, <xref ref-type="fig" rid="fig1">Figure 1</xref> illustrates the usage of seat belt among the victims. <xref ref-type="table" rid="table2">Table 2</xref> displays the causes of RTA that related to the driver, with the most common cause is inattention (55.3%). Furthermore, <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="table" rid="table4">Table 4</xref> demonstrate the Causes of RTA that related to the street, the passengers respectively.</p></sec><sec id="s4"><title>4. Discussion</title><p>The present study revealed that majority of the victims involved in RTA were males (85%), and we expected this as in our country males are more exposed to outdoor types of work, while females tend to work indoors. This is in accordance with a study conducted by Bhardwaj et al. in rural Haryana [<xref ref-type="bibr" rid="scirp.85486-ref8">8</xref>] , in addition to similar studies conducted in India, a country with similar nature as regards of male exposure to outdoor work [<xref ref-type="bibr" rid="scirp.85486-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.85486-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.85486-ref10">10</xref>] . Furthermore, laborers constituted the largest group (43%) involved in RTA, with similar finding in India [<xref ref-type="bibr" rid="scirp.85486-ref2">2</xref>] . The reason of such result may be due to the fact that the laborers work more and travel more than others as part of their work.</p><p>The study revealed that the highest number of RTA victims(24%) were encountered in the age group of 20 - 29 years, revealing that people of the most active and productive age are the most involved in RTA, which add a serious economic loss to the community. Jha et al. in Nepal reported a similar finding [<xref ref-type="bibr" rid="scirp.85486-ref11">11</xref>] . On the other hand, numerous studies reported that the age groups between 16 to 30 years and 15 - 35 years were more involved in RTA [<xref ref-type="bibr" rid="scirp.85486-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.85486-ref12">12</xref>] . Moreover, fewer accidents were encountered in the age group below the 20 and above 50 years. The reasons may be that both age groups are less mobile so they are less exposed to accidents, previous reports from India repeatedly confirm this observation [<xref ref-type="bibr" rid="scirp.85486-ref2">2</xref>] .</p><p>Most of the male victims were between the ages of 20 - 29 years, while most of female victims were between the ages of 30 - 39 years. Moreover, findings of this study mimic the results presented by Mishra et al. in Nepal that most victims were young unmarried males [<xref ref-type="bibr" rid="scirp.85486-ref13">13</xref>] .</p><p>Concerning the educational level of victims, this data confirms the results concluded by others [<xref ref-type="bibr" rid="scirp.85486-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.85486-ref15">15</xref>] . Those with lower level of education, primary school and illiterate (65%) were more involved, while higher educated victims</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The background characteristics of the road traffic victim</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Characteristic</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >percentage</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Gender</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >127</td><td align="center" valign="middle" >85%</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >15%</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Age</td><td align="center" valign="middle" >Less than 9 years</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >12.7%</td></tr><tr><td align="center" valign="middle" >10 - 19 years</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >12%</td></tr><tr><td align="center" valign="middle" >20 - 29 years</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >24%</td></tr><tr><td align="center" valign="middle" >30 - 39 years</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >18%</td></tr><tr><td align="center" valign="middle" >40 - 49 years</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >17%</td></tr><tr><td align="center" valign="middle" >50 years &amp; more</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >15%</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Educational level</td><td align="center" valign="middle" >Illiterate</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >30%</td></tr><tr><td align="center" valign="middle" >Primary education</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >34.7%</td></tr><tr><td align="center" valign="middle" >Secondary education</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >26.7%</td></tr><tr><td align="center" valign="middle" >University graduate</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >8.7%</td></tr><tr><td align="center" valign="middle"  rowspan="7"  >Occupation</td><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >10.7%</td></tr><tr><td align="center" valign="middle" >Officer</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >6%</td></tr><tr><td align="center" valign="middle" >Laborer</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >43.3%</td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >21.3%</td></tr><tr><td align="center" valign="middle" >Retired</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2.7%</td></tr><tr><td align="center" valign="middle" >Driver</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >8.7%</td></tr><tr><td align="center" valign="middle" >Housewife</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >7%</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The causes of RTA that related to the driver</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Causes</th><th align="center" valign="middle" >Frequencies</th><th align="center" valign="middle" >percent</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >Inattention</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >55.3%</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >Over haste</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >54.7%</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >Using mobiles while driving</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >16%</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >Talking with others</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >4%</td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >Bypassing</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >16%</td></tr><tr><td align="center" valign="middle" >6</td><td align="center" valign="middle" >Vehicle malfunction</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >8%</td></tr><tr><td align="center" valign="middle" >7</td><td align="center" valign="middle" >Noncompliance of traffic light</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >6%</td></tr><tr><td align="center" valign="middle" >8</td><td align="center" valign="middle" >Alcohol consumption</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3%</td></tr><tr><td align="center" valign="middle" >9</td><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >11%</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><p>were only (8.7%). That highlights the influence of level of education per se, or it may reflect the origin of individuals as most of those with low level of education from rural areas not familiar with the transportation vehicles or the rules of road [<xref ref-type="bibr" rid="scirp.85486-ref13">13</xref>] .</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> The causes of RTA that related to the street</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Causes</th><th align="center" valign="middle" >Frequencies</th><th align="center" valign="middle" >percent</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >Traffic road</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2%</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >Narrow road</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.3%</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >Lack of traffic light</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.7%</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >10%</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> The causes of RTA that related to the passengers</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Causes</th><th align="center" valign="middle" >Frequencies</th><th align="center" valign="middle" >Percent</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >Inattention</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >23.3%</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >Non compliance of pedestrian places</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >6.7%</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >Suicide</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0%</td></tr></tbody></table></table-wrap><p>The causes &amp; risk factors of RTA can be divided into causes related to the drivers, street or passengers. The drivers constitute more than 63% of the causes, inattention &amp; over hast were the commonest cause 55%, taking by mobile &amp; by passing 16%, noncompliance of traffic lights 6% &amp; alcohol consumption 3%. Inattention constitutes most of the causes that related to the passengers followed by noncompliance to passenger places. About the causes that related to the street narrow roads, holes on the roads&amp; lack of the traffic light were the commonest causes.</p><p>Despite the importance of using seat belt and its role in minimizing the injuries that can result from the RTA, this study shows that only about 17% of people used it and this could be due to lack of knowledge or due to negligence.</p></sec><sec id="s5"><title>5. Conclusions &amp; Recommendations</title><p>Road traffic accidents continue to be a growing menace, resulting in heavy loss of valuable man-power and human resources, along with a corresponding drain of potential economic growth. An intervention is needed through the involvement of many sectors and specialties. One part of the solution is to set up a new database to collect, store and analyze information relating to road traffic accidents. Governments need to know the causes, effects, incidence rates, and affected populations, in order to discover the appropriate intervention for our country.</p><p>At the same time, it is important to increase the traffic awareness of the public through delivery of effective information, education and communication messages using the mass media and other channels. In addition it is necessary to develop and implement school-based road safety training programs targeting the school children. Such programs are expected to address the socioeconomic and other aspects of RTA with focus on the safety and prevention education.</p></sec><sec id="s6"><title>Disclosures</title><p>No conflicts of interest, financial or otherwise, are declared by the authors.</p></sec><sec id="s7"><title>Acknowledgements</title><p>We had collaborated with many colleagues for whom we have great regards.</p></sec><sec id="s8"><title>Cite this paper</title><p>Degais, W., Awooda, H.A., Elnimeiri, M.K.M. and Kaddam, L. (2018) Epidemiological Pattern of Injuries Resulting from Road Traffic Accidents in Khartoum, Sudan. Health, 10, 816-822. https://doi.org/10.4236/health.2018.106061</p></sec></body><back><ref-list><title>References</title><ref id="scirp.85486-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Ameratunga, S., Hijar, M., Norton, R., Finch, C.F., Ameratunga, S., Hijar, M., et al. (2006) Road-Traffic Injuries: Confronting Disparities to Address a Global-Health Problem. Lancet, 367, 1533-1540. https://doi.org/10.1016/S0140-6736(06)68654-6</mixed-citation></ref><ref id="scirp.85486-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Jha, N., Srinivasa, D.K., Roy, G. and Jagdish, S. (2004) Epidemiological Study of Road Traffic Accident Cases: A Study from South India. Indian Journal of Community Medicine, 28, 85-90.</mixed-citation></ref><ref id="scirp.85486-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Ganveer, G.B. and Tiwari, R.R. (2005) Injury Pattern among Non-Fatal Road Traffic Accident Cases: A Cross-Sectional Study in Central India. Indian Journal of Medical Sciences, 59, 9-12. https://doi.org/10.4103/0019-5359.13812</mixed-citation></ref><ref id="scirp.85486-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Kumar, G.A., Dilip, T.R., Dandona, L. and Dandona, R. (2012) Burden of Out-of-Pocket Expenditure for Road Traffic Injuries in Urban India. BMC Health Services Research, 12, 285. https://doi.org/10.1186/1472-6963-12-285</mixed-citation></ref><ref id="scirp.85486-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Nabi, H., Consoli, S.M., Chastang, J.F., Chiron, M., Lafont, S. and Lagarde, E. (2005) Type A Behavior Pattern, Risky Driving Behaviors, and Serious Road Traffic Accidents: A Prospective Study of the GAZEL Cohort. American Journal of Epidemiology, 161, 864-870. https://doi.org/10.1093/aje/kwi110</mixed-citation></ref><ref id="scirp.85486-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">World Health Rankings [Internet] (2018).  
http://www.worldlifeexpectancy.com/sudan-road-traffic-accidents</mixed-citation></ref><ref id="scirp.85486-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Peden, M. (2004) World Report on Road Traffic Injury Prevention. World Health Organization, Geneva.</mixed-citation></ref><ref id="scirp.85486-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Singh, A., Bhardaj, A., Pathak, R. and Ahluwalia, S. (2011) An Epidemiological Study of Road Traffic Accident Cases Admitted in a Tertiary Care Hospital. Indian Journal of Community Health, 23, 53-55.</mixed-citation></ref><ref id="scirp.85486-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Farooqui, J.M., Chavan, K.D., Bangal, R.S., Syed, M.M.A., Thacker, P.J., Alam, S., et al. (2013) Pattern of Injury in Fatal Road Traffic Accidents in a Rural Area of Western Maharashtra, India. Australasian Medical Journal, 6, 476-482.  
https://doi.org/10.4066/AMJ.2013.1839</mixed-citation></ref><ref id="scirp.85486-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Rameshkrishnan, N., Sathyakumar, A., Balakumar, S., Hassan, A.M., Rajaraman, R. and Padmanaban, J. (2013) The New In-Depth, At-the-Scene, Accident Investigation Database in India. IRCOBI Conference on the Biomechanics of Impact, 12 September 2013.</mixed-citation></ref><ref id="scirp.85486-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Jha, N. (2005) Road Traffic Injuries: An Emerging Problem in Nepal. Journal of Nepal Medical Association, 44, 156-159. 
http://www.jnma.com.np/jnma/index.php/jnma/article/download/449/867</mixed-citation></ref><ref id="scirp.85486-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Chalya, P.L., Mabula, J.B., Dass, R.M., Mbelenge, N., Ngayomela, I.H., Chandika, A.B., et al. (2012) Injury Characteristics and Outcome of Road Traffic Crash Victims at Bugando Medical Centre in Northwestern Tanzania. Journal of Trauma Management &amp; Outcomes, 6, 1. https://doi.org/10.1186/1752-2897-6-1</mixed-citation></ref><ref id="scirp.85486-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Mishra, B., Sinha Mishra, N.D., Sukhla, S. and Sinha, A. (2010) Epidemiological Study of Road Traffic Accident Cases from Western Nepal. Indian Journal of Community Medicine, 35, 115-121. https://doi.org/10.4103/0970-0218.62568</mixed-citation></ref><ref id="scirp.85486-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Joly, M.F., Foggin, P.M. and Barry Pless, I. (1991) Geographical and Socio-Ecological Variations of Traffic Accidents among Children. Social Science &amp; Medicine, 33, 765-769. https://doi.org/10.1016/0277-9536(91)90375-M</mixed-citation></ref><ref id="scirp.85486-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Peymani, P., Heydari, S.T., Hoseinzadeh, A., Sarikhani, Y., Hedjazi, A., Zarenezhad, M., et al. (2012) Epidemiological Characteristics of Fatal Pedestrian Accidents in Fars Province of Iran: A Community-Based Survey. Chinese Journal of Traumatology (English Edition), 15, 222-227.</mixed-citation></ref></ref-list></back></article>