&lt;p&gt;Socio-Demographic Determinants of Road Traffic Fatalities in Women of Reproductive Age in the Republic of Georgia: Evidence from the National Reproductive Age Mortality Study (2014)&lt;/p&gt;

Lomia, Nino; Berdzuli, Nino; Sharashidze, Nino; Sturua, Lela; Pestvenidze, Ekaterine; Kereselidze, Maia; Topuridze, Marina; Stray‐Pedersen, Babill; Stray-Pedersen, Arne

doi:10.2147/ijwh.s244437

Cited by 7 publications

(9 citation statements)

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“…Many services from crowd and light road traffic have been established to convert traffic from self-supporting vehicles to the IoV. A certain study covers the vehicle's rate as one of the major factors contributing to road injuries, drinking, non-use of the belt and distractions (Lomia et al 2020). Around 90% of vehicle incidents are caused by weak road networks and weak traffic control systems in low and medium nations (Heydari et al 2019).…”

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confidence: 99%

RETRACTED ARTICLE: Internet of vehicles and autonomous systems with AI for medical things

2021

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The current world faces a considerable traffic rate on roads due to the increase in various types of vehicles. It caused emergency vehicles to delay and increasing the patients' health risk factor. Internet of vehicle-based artificial neural network (IoV-ANN) has been proposed for effective health autonomous system in medical things. The proposed IoV-ANN provides a secure network to monitor and track the vehicle's motion using the global positioning system. It consists of an autonomous system which is enabled with an artificial neural network (ANN). ANN model has three layers. First layers collect the data using IoV sensors. Second or hidden layers process the sensor data, predict the road's traffic condition and reroute the emergency vehicle to an exact route. IoV-ANN helps to reduce road congestion in this article to enhance the timely functioning of an emergency vehicle. ANN categorizes the congestion networks of traffic. Traffic restrictions such as changing the queue gap in the road signals and the alternative roads are altered automatically due to congestion. It allows the government to develop ideas for alternate routes to enhance traffic control. The output layer gives commands to the driver autonomously. The simulation analysis of the proposed method proved that the system could work independently. The IoV-ANN achieves the highest performance rate of (97.89%), with a reduced error rate (9.12%) traffic congestion rate (10.31%), travel period (32 s), vehicle detection rate (93.61%), classification accuracy (95.02%), MAPE (8.4%), throughput rate (93.50%) when compared to other popular methods.Keywords Internet of vehicles Á Artificial neural network Á Hidden layer Á Global positioning system Á Emergency Á Autonomous system Á Vehicle motion Á IoV sensors Communicated by Vicente Garcia Diaz.

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RETRACTED ARTICLE: Internet of vehicles and autonomous systems with AI for medical things

2021

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“… 9 Additionally, according to Lotfi et al's study, the highest number of road accidents was among housekeepers. 8 …”

Section: Discussionmentioning

confidence: 99%

“…9 Additionally, according to Lotfi et al's study, the highest number of road accidents was among housekeepers. 8 The literature suggests that the rate of road accidents is notably higher in the 25-29 age group, possibly due to risky behaviors, lack of experience, and peer influence. [10][11][12] In our present study, a higher incidence of road accidents was observed among married individuals, though previous research did not establish a significant correlation between marital status and RTAs.…”

Section: Discussionmentioning

confidence: 99%

A decadal analysis of road traffic accident‐related mortality among women of reproductive age: A cross‐sectional study in East Azerbaijan Province, Iran

Golestani,

Sadeghi‐Bazargani,

Gavgani

et al. 2024

Health Science Reports

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BackgroundGiven the extensive impact of road traffic accidents (RTAs) consequences and their potential ramifications on the health of both current and future generations, this study examines the social and demographic factors that influence RTA‐related mortality among women of reproductive age.MethodsThe study population consisted of cases retrieved from the database of the Legal Medicine Organization, encompassing all women aged 15–49 who succumbed to road accidents between 2011 and 2021.ResultsThe mean age of women in the reproductive age group from East Azerbaijan province between 2011 and 2021 was 33.67 years, with a standard deviation of 9.18. RTAs on main roads accounted for the majority of incidents (395 cases, 50.8%), with 93.7% (728 cases) attributed to road traffic. In 54.4% of these cases, the affected organ was the head and neck, and the primary cause of death in 52.1% was head trauma. Across all age groups, injuries to the neck and head were the most common, followed by injuries to the abdomen, chest, back, and sternum.ConclusionThe higher incidence of road accidents in the 25–29 age group highlights the need for targeted interventions to address risky behaviors, inexperience, and peer influences in this demographic. Our observation of passengers experiencing the highest mortality rate emphasizes the vulnerability of road users, particularly pedestrians, in traffic accidents. Pedestrian violations in the 17–30 age group further emphasize the importance of education and awareness campaigns aimed at reducing risky behavior.

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“…In our study, we find that deaths by traffic accidents in pedestrians and cyclists are diverse and consider sociodemographic characteristics, similar to other studies. [27][28][29] Among others, it has been described that traffic accidents are more frequent in the lowest socioeconomic strata, as people belonging to these groups in the social hierarchy tend to indulge in more risky behaviors and because, on the other hand, their access to health services is more precarious. 30 Another factor associated with socioeconomic conditions is related affiliation to the health system.…”

Section: Discussionmentioning

confidence: 99%

Mortality due to traffic accidents in Colombia: Profiles of pedestrians and cyclists, 1998-2019

2023

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Background: Traffic accidents are an important issue for public health and a threat for sustainable development, with pedestrians and cyclists having been recognized as the most vulnerable actors on the streets. The objective of this study was to analyze the profiles of pedestrians and cyclists who died as a result of traffic accidents in Colombia during the 1998-2019 period. Methods: An observational and descriptive study, with the deaths due to traffic accidents in Colombia between 1998 and 2019 as data source. Secondary data were taken from the Vital statistics of Colombia (EEVV), published by Departamento Administrativo Nacional de Estadística (DANE). A trend analysis of the number of deaths during the period under study was performed, and such number was examined against sex to identify potential differences. Multiple correspondence analysis was employed to elaborate the profile of pedestrians and cyclists who die due to traffic accidents. Three profiles were prepared for each road actor: a global profile, one for 1998, and another for 2019. Results: The mortality profiles are different for pedestrians and cyclists, and, in turn, there are also demographic, geographic, and socioeconomic conditions in each type of road actor, which determine higher mortality risks. High population density, younger age group in the cyclists and adults among the pedestrians, low schooling levels and absence of health insurance are suggested as key factors in these profiles. Related to sex, for men is not possible to establish a profile. Women's cases are commonly related to health insurance, age, and population density. Conclusions: Several contextual and demographic characteristics in pedestrians and cyclists allow delimiting mortality profiles. The profiles that were identified suggest the need to articulate road safety policies with other social and development policies in order to coordinate and integrate intersectoral actions that reduce mortality in these road actors.

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<p>Socio-Demographic Determinants of Road Traffic Fatalities in Women of Reproductive Age in the Republic of Georgia: Evidence from the National Reproductive Age Mortality Study (2014)</p>

Cited by 7 publications

References 50 publications

RETRACTED ARTICLE: Internet of vehicles and autonomous systems with AI for medical things

RETRACTED ARTICLE: Internet of vehicles and autonomous systems with AI for medical things

A decadal analysis of road traffic accident‐related mortality among women of reproductive age: A cross‐sectional study in East Azerbaijan Province, Iran

Mortality due to traffic accidents in Colombia: Profiles of pedestrians and cyclists, 1998-2019

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