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M Dianati, Ms Lotfi,
Volume 11, Issue 2 (Vol 11, No 2 2015)
Abstract

Background & Objectives: Home-related traumas are the most common traumas and are ranked the second among different types of traumas. This study aimed to determine the status of home-related traumas in patients referred to medical centers in Kashan in 2010-2012.

Methods: In this cross-sectional study, 1028 patients referred to Kashan emergency medical centers were evaluated. The continuous sampling method was used for patient selection. The data collection tool was a researcher made questionnaire with two sections: demographic information and a checklist to evaluate the domestic trauma. Information was obtained by trained nurses through direct interviews with the patients and hospital records. Data was analyzed using SPSS version 0.16.

Results: Location patterns of incidents showed that the hall (27.7%), kitchen (20.3%) and yard (18.4%) were the most common injury sites. Recklessness (80.8%) was the most common cause of trauma. Most of the accidents were caused by falls (27.90%) and cutting tools (25.08%). Orthopedic injuries (50.2%) and hemorrhagic events (34.70%) were the most common traumas.

Conclusion: The results showed that domestic traumas often occurred following reckless behaviors. As a result, these traumas could be predicted and prevented by concentration and attention during working. To reduce the incidence of domestic traumas, people should receive information and training on health and safety issues in the home setting.


Iman Dianat, Mohammad Sadegh Masoumi, Homayoun Sadeghi Bazargani, Gholam Hossein Safari, Sepideh Harzand-Jadidi,
Volume 20, Issue 4 (Vol.20, No.4, Winter 2025)
Abstract

Background and Objectives: One of the most important steps in reducing traffic accidents is the accurate recording of the spatial information of these incidents using Geographic Information Systems (GIS).The present study was conducted with the aim of geographically analyzing high-risk areas for traffic accidents in Tabriz and determining the spatial distribution pattern of traffic incidents based on accident outcomes.
Methods: In this descriptive-analytical study, data on property damage, injury, and fatal traffic accidents in Tabriz during 2017 were collected from various sources, and accident locations were identified using geographic addresses and coordinates. To analyze the geographical distribution of high-risk accident zones, spatial analysis methods including Moran’s Index, Kernel Density Estimation, Geographically Weighted Regression (GWR), and correlation analysis were employed.
Results: In this study, the cumulative pattern of accidents in Tabriz was confirmed, such that district 8, northeast of District 3, central and southern regions of District 1, and the entrance to District 5 of Tabriz city had dense accident distribution patterns. The religious, commercial, and service land-use layers had the highest correlation with accident density. High-traffic axes had fewer accidents; the highest was related to areas with low traffic volume. Autumn and winter have the most damage accidents, and the highest number of accidents leading to death was assigned to the spring season.
Conclusion: Given the concentration of traffic accidents in high-risk areas of Tabriz—particularly in District 8 and the eastern entrances—it is recommended that traffic infrastructure be improved, traffic regulations be strengthened, and monitoring be enhanced through intelligent systems to reduce accidents. Additionally, conducting public awareness campaigns can also be effective in decreasing traffic incidents.


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