Health Care Resources and 24,910 Deaths Due to Traffic Accidents: An Ecological Mortality Study in Poland

Genowska, Agnieszka; Jamiołkowski, Jacek; Szafraniec, Krystyna; Fryc, Justyna; Pająk, Andrzej

doi:10.3390/ijerph18115561

Cited by 6 publications

(4 citation statements)

References 36 publications

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“…Regarding the differences in traffic accident mortality rates between men and women, men exhibit higher rates (4 to 6 times more), as found in studies across Latin America and globally [15][16][17], as well as in our study. The most impacted age group was those over 60 years, paralleling findings in Colombia where patients in this age range faced double the mortality risk from traffic accident compared to younger patients [18].…”

Section: Discussionsupporting

confidence: 89%

“…The 17 to 24-year age group ranked second in mortality rates, mirroring patterns in Argentina, Brazil, Chile in Latin America, and Poland in Europe, where this age group is most affected, attributed to riskier behaviors like speeding and helmet non-use [16,[20][21][22][23]. Our findings indicate a general mortality rate reduction in traffic accident of 1.23%, notably in the sierra, coast, and Amazon regions, in contrast to Brazil, Paraguay, Pakistan, Mongolia, and North Korea, where trends are stable or increasing [24,25].…”

Section: Discussionmentioning

confidence: 99%

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Trends in Traffic Accidents Mortality and Social Inequalities in Ecuador from 2011 to 2020

Holguín-Carvajal,

Otzen,

Sanhueza

et al. 2024

Preprint

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The aim of this study was to describe the trend of traffic accident mortality and social inequalities in Ecuador for the period 2011-2020, distributed by year, gender, age group, geographic location, and type of accident, alongside social disparities. An ecological approach was used to evaluate traffic accident mortality data. The average traffic accident mortality rate in the country during this period was 19.1 per 100,000 inhabitants, with rates being significantly higher in males (31.3) than in females (7.2). The highest mortality rate was recorded in 2011, predominantly impacting the 60 and older age group, the Santo Domingo de los Tsáchilas province, and the Amazon region. The study also noted a declining trend in these rates over the years, with an Annual Percentage Variation of -1.2%. A notable finding was the decrease in traffic accident mortality inequality based on per capita income in 2019, compared to 2011, which rose by 247.7%, whereas the inequality based on illiteracy rates decreased by 18.9% from 2014 to 2019. These findings highlight the significant decrease in traffic accident mortality rates across Ecuador, though marked disparities remain evident across different genders, age groups, and provinces.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Trends in Traffic Accidents Mortality and Social Inequalities in Ecuador from 2011 to 2020

Holguín-Carvajal,

Otzen,

Sanhueza

et al. 2024

Preprint

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“…Our study looked further into the distribution of available hospital resources and found that they were not balanced in accordance with mortality rates from RTIs in each province. A paper from Poland reported that poor HCRs were responsible for anomalies in mortality rates due to traffic accidents in each region 9 and that ORs were found to be the least equally distributed out of all the hospital resources. This is due to the extensive process required to provide appropriate venues, as well as surgical teams and equipment, making it harder to open ORs.…”

Section: Overall M (%) C (%) P (%) T (%) B (%) Overall M (%) C (%) P ...mentioning

confidence: 99%

Characteristics of road traffic mortality and distribution of healthcare resources in Thailand

Seresirikachorn

Singhanetr²,

Soonthornworasiri

et al. 2022

Sci Rep

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Road traffic mortalities (RTMs), a leading cause of death globally, mostly occur in low- and middle-income countries, and having sufficient healthcare resources could lower the number of these fatalities. Our study aimed to illustrate the incidence of RTMs per 100,000 population and to compare the distribution of healthcare resources from 2011 to 2021 with rates of RTMs in the 77 provinces of Thailand. We divided the population into adults (≥ 15 years) and children (0–14 years). Lorenz curve and Gini coefficient were used to measure the level of distribution and equality of hospital resources and in relation to RTMs across the country. The average number of deaths was 30.34 per 100,000 per year, with male predominance. The RTM rates for adults and children were 32.71 and 19.08 per 100,000 respectively, and motorcycle accidents accounted for the largest percentage of deaths across all age groups. The Gini coefficient showed that operating rooms (0.42) were the least equally distributed hospital resource, while physicians were the most equally distributed (0.34). Anomalies were identified between the distribution of RTMs and available hospital resources. We hope our study will be beneficial in reallocating these resources more fairly to reflect the different numbers of traffic accidents in each province with the aim of reducing lower traffic-related deaths.

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“…A set of different statistical analysis methods has been applied in efforts to determine the correlation between categorical variables over accident datasets. For example, Negative Binomial regression (Msengwa and Ngari, 2021;Mustefa and Belayhun, 2019;Wang et al, 2021;Zou et al, 2021) and Poisson regression (Genowska et al, 2021;Khan and Hussain, 2021;Msengwa and Ngari, 2021;Sagamiko and Mbare, 2021;Twenefour et al, 2021;Wang et al, 2021;Yang et al, 2021), have been widely used to model of count accident dataset to verify the impact of independent variables 𝑋 on the given dependent variables 𝑌. The main difference between Poisson and Negative Binomial when the later releases the restricted hypothesis and the mean value is equal to the variance that made by the Poisson model (Maxwell et al, 2018).…”

Section: Review Of Some Statistical Approaches Of Accident Modelingmentioning

confidence: 99%

Measuring and comparing the spatiotemporal evolution of accident hot spots

Hamami¹

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[EMBARGOED UNTIL 6/1/2023] One reality of transportation systems is that vehicular accidents can happen practically anywhere and at any time. An increasing body of research suggests though that spatial and/or temporal dependencies (i.e., clusters or hot spots) among accidents likely exist. Along with understanding where and when such spatiotemporal dependencies may occur, another important facet to consider is the geographic extent or area associated with the hot spots. For example, an accident hot spot may involve a small, isolated portion of the transportation system or a much more expansive geographic area. Better delineation and quantification of the morphological characteristics of accident hot spots can provide valuable decision support for planning for accident hot spot mitigation and prevention. As the size and shape of accident hot spots may evolve over time, the capability to track such dynamics is vital, especially with respect to the identification of effecting processes of hot spot occurrence as well as assessments of the efficacy of efforts to mitigate factors underlying hot spot development. For example, a hot spot that is increasing in size over time may indicate areas that are started with a small cluster size then become a part of a larger cluster size during the next periods. Likewise, a cluster that is decreasing in size may signify that some areas may participate with a big cluster size then decrease to a smaller cluster size later. Besides understanding the trend of cluster size evolution during multiple time periods, another important aspect to consider is the percentage or amount of similarity/dissimilarity of cluster morphological characteristics between different urban areas. Better understanding and quantification of morphological characteristics of accident hot spots' similarity characteristics over different urban area levels can also provide valuable decision support for accident safety planning and improve accident alleviation and prevention. To this end, a Geographical Information Systems (GIS) based framework is outlined to facilitate the analysis and comparison of the morphological characteristics of hot spots over time. The analysis framework is applied to a case study of vehicular accidents reported over a two-year period for Morphological analysis and a three-year period for statistical comparison computing to demonstrate its practical utility. The application results of the morphological analysis indicate that patterns of change in hot spot morphology can be effectively quantified, and a variety of informative spatial and temporal patterns can be detected. In addition, the results of cluster statistical comparison computing revealed that the level or percentage of cluster characteristics similarity between urban areas decreases with the increment of the urban city size and road levels complexity.

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Health Care Resources and 24,910 Deaths Due to Traffic Accidents: An Ecological Mortality Study in Poland

Cited by 6 publications

References 36 publications

Trends in Traffic Accidents Mortality and Social Inequalities in Ecuador from 2011 to 2020

Trends in Traffic Accidents Mortality and Social Inequalities in Ecuador from 2011 to 2020

Characteristics of road traffic mortality and distribution of healthcare resources in Thailand

Measuring and comparing the spatiotemporal evolution of accident hot spots

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