Browsing by Author "Demir, Ugur"

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An Investigation of the Effect of the Covid-19 (sars-Cov Pandemic on Occupational Accidents (tokat-Turkey)
(Routledge Journals, Taylor & Francis Ltd, 2023) Demir, Ugur; Asirdizer, Mahmut; Kartal, Erhan; Etli, Yasin; Hekimoglu, Yavuz
The aims of this study were to compare the incidence of occupational accidents during one-year periods of the COVID-19 Pandemic and before the COVID-19 Pandemic, and to determine in which sectors occupational accidents occurred and what types of injuries were sustained in the population of Tokat, Turkey. A retrospective review was made of the records of Tokat State Hospital of patients injured in occupational accidents between 12.03.2019 and 11.03.2021. The patients injured in occupational accidents were classified according to age, gender, sector, accident type, trauma localization and type, time of the accident, and outcome of the injuries. Of 608 patients injured in occupational accidents, 384 (63.2%) were injured in the period before the pandemic and 224 (36.8%) were injured in the period during the pandemic (p < 0.001). Most work-related injuries occurred in the industry sector (n = 287; 47.2%; p < 0.001). Occupational accidents increased in the service sector (p < 0.001), but decreased in other sectors. The increase in occupational accidents in the health sector (p < 0.001) and transportation sector (p < 0.05) within the service sector caused a general increase despite the decrease in other service sectors (p > 0.05). In current study, the increase in the number of injuries in the transportation sector due to the increase of motor courier accidents, in health sector, and in pandemic quarantines were remarkable. It was evaluated that this narrow-scoped study pioneered comprehensive studies on the measures that can be taken to prevent occupational accidents in such pandemics in the future.
Sex Estimation From the Clavicle Using 3d Reconstruction, Discriminant Analyses, and Neural Networks in an Eastern Turkish Population
(Elsevier Ireland Ltd, 2022) Demir, Ugur; Etli, Yasin; Hekimoglu, Yavuz; Kartal, Erhan; Keskin, Siddik; Yavuz, Alparslan; Asirdizer, Mahmut
Sex estimation of skeletal remains is an important aspect of forensic anthropology. The clavicle is a bone with relatively high accuracy in sex determination. In this study, 7 clavicular parameters were obtained using the CT images and 3D reconstruction of 360 cases equally distributed as 180 males and 180 females. Sex determination was made using univariate, linear, and stepwise discriminant analyses, and multilayer perceptron neural networks. Maximum sex determination accuracy of 85.3% was achieved with univariate analysis, 89.4% with linear discriminant analysis, 90.0% with stepwise discriminant analysis, and 91.4% with multilayer perceptron neural networks. Significant changes were observed in the MLC, APMD-R and CDC parameters according to age, and these were determined to affect the accuracy of sex determination in different age groups. In forensic anthropological studies, more reliable results can be obtained by considering the confounding factors during sampling. Although high accuracy rates can be achieved with neural networks, the results should be approached with caution.
Sex Estimation Using Foramen Magnum Measurements, Discriminant Analyses and Artificial Neural Networks on an Eastern Turkish Population Sample
(Elsevier Ireland Ltd, 2022) Kartal, Erhan; Etli, Yasin; Asirdizer, Mahmut; Hekimoglu, Yavuz; Keskin, Siddik; Demir, Ugur; Celbis, Osman
Background: Although many studies have been conducted using the foramen magnum for sex estimation, recent findings have indicated that the discriminant and regression models obtained from the foramen magnum may not be reliable. Artificial Neural Networks, was used as a classification technique in sex estimation studies on some other bones, did not used in sex estimation studies on the foramen magnum until now. The aim of this study was sex estimation on an Eastern Turkish population sample using foramen magnum measurements, discriminant analyses and Artificial Neural Networks. Methodology: The study was performed on the CT images of a total of 720 cases, comprising 360 males and 360 females. For sex estimation, discriminant analysis and Artificial Neural Networks were used. Results: The accuracy rate was 86.7% with discriminant analysis and when sex estimation accuracy was deter-mined according to cases with posterior probabilities above 95%, the accuracy ranged from 0% to 33.3%. With the use of the discriminant formulas of 2 other studies, obtained from different Turkish samples, sex could be determined at a rate of 84.6%. Some formulas were found to be unsuccessful in sex estimation. Sex estimation accuracy of 88.2% was achieved with Artificial Neural Networks.Conclusion: In this study, it was found that sex could be determined to some extent with discriminant formulas from other samples from the same population, although some formulas were unsuccessful. With the use of image processing techniques and machine learning algorithms, better results can be obtained in sex estimation.
Suicides in Turkey: 25-Year Trend (1995-2019)
(Wiley, 2022) Kartal, Erhan; Demir, Ugur; Hekimoglu, Yavuz; Keskin, Siddik; Asirdizer, Mahmut
The assessment of national suicide risks is considered critical in many countries for the establishment of suicide prevention initiatives aimed at considerably lowering suicide rates. The aim of this study is to identify at-risk suicide populations by reviewing the suicides in Turkey over a 25-year period. The Turkish Statistical Institute's suicide statistics for 1995-2019 in Turkey was retrospectively reviewed in current article. The data collected in the study was statistically analyzed using the MINITAB vn 14 software. Between 1995 and 2019, the total number of suicides in Turkey was 66,819, and suicide rates, especially in males, showed an increasing trend in this period. Males comprised 68.3% of the total cases, and most (27.2%) were aged 15-24 years. Suicides mostly occurred between May and July (27.7%), of individuals with a primary school level of education (51.7%) and who were married (6.0 per 100,000). Illness was most important risk factor for suicide (36.8%) and hanging (47.5%) was the leading suicide method in all age groups and in both genders. Despite the fact that Turkey's suicide rate is lower than many other countries, the growth in male suicide rates is concerning. Suicides are likely to become a severe problem in Turkey in the near future unless measures like education, psychiatric evaluations, the reactivation of psychological counseling service phone lines, and the establishment of youth counseling centers, as described in this paper, are taken.