Impact of socio-economic profiles on public health crisis of road traffic accidents: A qualitative study from South India

Nanjunda, Devajana Chinnappa

doi:10.1016/j.cegh.2020.06.002

Cited by 12 publications

(8 citation statements)

References 17 publications

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“…This finding was also seen in other LMIC papers where helmet use among two-wheeler riders involved in RTCs was low, even lower than 5% in one study [ 18 ]. In addition, this group is inclined to use poor-quality helmets, fails to use conspicuity equipment, and is often seen travelling with three or more people in the vehicle [ 22 - 24 ].…”

Section: Discussionmentioning

confidence: 99%

A Survey of Traumatic Brain Injuries from Road Traffic Collisions in a Lower Middle-Income Country

Barki¹,

Filza²,

Khattak³

et al. 2023

Cureus

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The burden of traumatic brain injury (TBI) from road traffic collisions (RTCs) is great in low-and middleincome countries (LMICs) due to shortfalls in preventative measures, and the lack of relevant, accurate data collection. To address this gap, we sought to study the epidemiology of TBI from RTCs in two LMIC neurosurgical centres in order to identify factors amenable to preventative strategies. A prospective survey of all adult and paediatric cases of TBI from RTCs admitted to Northwest General Hospital (NWGH) and Hayatabad Medical Complex (HMC) over a four-week period was carried out. Data on patient demographics, risk factors, injury details, pre-hospitalisation details, admission details and post-acute care was collected and analysed. A total of 68 patients were included in the study. 18 (26%) of the patients were male and in the 30 to 39 age group. Fifty-two percent were two-wheeler riders and/or passengers. 51 (75%) of the RTCs occurred between 12 noon and 12 midnight and in rural areas (66.2%). The most commonly documented risk factor that led to the RTC was speeding (35.3%). Pre-hospital care was either absent or undocumented. Up to two-thirds of patients were not direct transfers, and most were transported in private vehicles (48.5%) arriving later than an hour after injury (94.1%). Less than half with documented disabilities were referred for rehabilitation (38.5%). There are still gaps in the prevention of TBI from RTCs and in relevant data collection. Data collection systems must be strengthened, and further exploratory research carried out in order to improve the prevention of TBI from RTCs.

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Section: Discussionmentioning

confidence: 99%

A Survey of Traumatic Brain Injuries from Road Traffic Collisions in a Lower Middle-Income Country

Barki¹,

Filza²,

Khattak³

et al. 2023

Cureus

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“…Goswami and Sonowal exposed the accident cases at Dibrugarh city, Assam, India with the intention to know the probable time period of accidents and season 19) . The accidents are closely related to socioeconomic groups wherein the maximum number of death and fatal were observed from low socioeconomic groups 3) . Around 1374 road traffic accidents are observing in a day from India in which nearly 400 deaths noticed continuing alarming serious public health concern 18) .…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of Human Safety Based on Pedestrian Perceptions Associated to Silent Nature of Electric Vehicle

Patil¹,

Khairnar²

2021

Evergreen

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Urbanization in addition to employ of green technology has boosted the use of electric vehicles in the cities. Since electric vehicles are free from exhaust gases, there would be an improvement in environmental conditions; however, an unintentional upcoming risk is observed due to the silent feature of electric vehicles. Similarly, the rising trend of accidents causes major injury or even permanent disability which is strongly associated with human health and global safety. This study attempts to address three extensive objectives. Is human health risk associated with the silent nature of electric vehicles from the pedestrian's gender perspective? Is the safety of pedestrians depending upon the distance traveled by them? How the age group is responsible for any fatal or accidents? Quantitative primary data were collected from 401 pedestrian respondents through an extensive questionnaire survey carried out in Mumbai, India. The hypothesis is evaluated to justify the human health risk associated with the low noise of electric vehicles based on their technical response. In addition to ANOVA, a nonparametric tool was used to analyze perceived risk in the sense of human health. Utilizing the ground level essential information obtained from the road users, the authors have investigated the key risk associated with electric vehicles. The results showed that nominal/severe accidents may cause injury to pedestrians and thereafter it leads to temporary or permanent disability; thereby it is a foremost important condition for road users to identify the presence of electric vehicles while walking on the road. The study indicates that human safety is closely linked to the safe travel of pedestrians. The quiet nature of electric vehicles are difficult for a pedestrian to identify their presence on the road which is an alarming situation for the possibility of accidents, however, there is no significant difference between the people (road users) who travel a short or long distance in a day. It is the foremost requirement to recognize the level of consequence in the context of accidents to improve the global health.

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“…log (λ i ) = log(e i ) + β 0 + βX i (2) where y i is the observed count of pedestrian fatalities, λ i is the expected fatality count (Figure 3), exposure is e i , β 0 and β are the coefficients, and X i is the independent variable. Some earlier studies concluded that global regression alone is not sufficient to measure spatially clustered association; hence, the local counterpart of global regression should be used: geographically weighted regression (GWR) [19].…”

Section: Regression Modelsmentioning

confidence: 99%

“…Traffic safety is obviously an issue of deep concern because as many as 1.35 million people die each year [1], and 20 to 50 million people encounter non-fatal injuries due to traffic-related crashes. In fact, traffic crashes has become a crucial public health crisis and a serious challenge for the professionals engaged in injury prevention [2,3]. A recent study has estimated that the traffic accidents will cost $1.8 trillion to the global economy during 2015-2030 [4].…”

Section: Introductionmentioning

confidence: 99%

Modeling Road Safety in Car-Dependent Cities: Case of Jeddah City, Saudi Arabia

Aljoufie

Tiwari

2021

Sustainability

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Investigating the connections between pedestrian crashes and various urban variables is critical to ameliorate the prediction of pedestrian fatalities, formulate advisories for the stakeholders, and provide an evidence base for policy change to mitigate the occurrence and intensity of pedestrian fatalities. In this paper, we aim to explore the geographically varying association between the pedestrian fatalities and other associated factors of an urban environment in Jeddah city, which is a car-dependent city in Saudi Arabia. At first, Global Moran’s I and Local Indicators of Spatial Association (LISA) were applied to visualize the clustering of pedestrian fatalities in the various districts of Jeddah. Subsequently, we developed Poisson regression models based on their geographically weighted indicators. Both the global and geographically weighted regression models attempt to assess the association between the pedestrian fatalities and the geographically relevant land use and transport infrastructure factors. The results indicate that geographically weighted Poisson regression (GWPR) performed better than the global Poisson counterparts. It is also revealed that the existing transportation infrastructure in Jeddah was significantly associated with the higher pedestrian fatalities. The results have shown that the proposed model in this study can inform transport policies in Jeddah in prioritizing more safety measures for the pedestrians, including expanding pedestrians’ infrastructure, and cautious monitoring of pedestrian footpaths. It can facilitate the analysis and improvement of road safety for pedestrians in car-dependent cities.

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Impact of socio-economic profiles on public health crisis of road traffic accidents: A qualitative study from South India

Cited by 12 publications

References 17 publications

A Survey of Traumatic Brain Injuries from Road Traffic Collisions in a Lower Middle-Income Country

A Survey of Traumatic Brain Injuries from Road Traffic Collisions in a Lower Middle-Income Country

Investigation of Human Safety Based on Pedestrian Perceptions Associated to Silent Nature of Electric Vehicle

Modeling Road Safety in Car-Dependent Cities: Case of Jeddah City, Saudi Arabia

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