• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.467-479
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• 1999

The mortality and morbidity caused by injury and poisoning has been major public health problem in Korea. This study was carried out to get information indispensable in developing prevention srategies peculiar to korean rural area. In this study 1.499 people of 496 households. who are living in five rural villages of Chooncheon City. Kang-Won Province. were interviewed in accordance with structured questionaire in 1996. The results obtained are summarized as follows: 1. The age-standardized annual incidence rates of injury and poisoning per 100 persons surveyed were 4.2 in males and 1.9 in females. The difference between sex was statistically significant. 2. The places where most of injuries and poisonings occurred were road 66.7% among males. road 31.6% among females. 3. The occurrence of the injuries and poisonings were clustered in intensive farming season in both males and females. 4. The laceration and stab wound were the most frequent nature of injuries in males and the fracture was the most frequent nature of injuries in females. The fracture. sprain were more frequent among males but sprain and contusion were more frequent among females. 5. Incidence rates of injuries and poisoning by cause were higher in traffic accidents among males. though falls among females. The cause specific incidence rate by age was high in traffic accident for 30-59 year age group. and for the aged people older than 60 years. 6. In the management pattern, 78.8% of the injuries and poisoning were received medical care in hospitals and clinics, and the duration of the treatment over 4 weeks in 37.0%. The results obtained indicate that organized community effort is urgently required to prevent injuries and poisonings in rural area.

• Journal of Trauma and Injury
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• v.22 no.1
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• pp.87-96
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• 2009

Purpose: Injuries are the most important cause of morbidity and mortality in the childhood population worldwide. Thus, this study was down to investigate the type and the severity of injuries according to the age group in childhood. Methods: A survey of injury information and a chart review were done on 378 children (257 boys, 121 girls) who visited the Emergency Departments of Asan Medical Center from March 1, 2009, to March 31, 2009. To determine differences in injury mechanism, accident place, injury site, New Injury Severity Score (NISS) and Pediatric Trauma Score (PTS), we divided the 378 patients into 4 group: under 1 year, 1 to 4 years, 5 to 9 years, and 10 to 15 years. Results: The mean (${\pm}SD$) age of the study group was 5.1 (${\pm}4.4$) years. Two year olds formed the largest group of injured children, with 77 cases (20.4% of the total). The most common cause of injury in childhood was being hit by an object (26.2%). Falls were frequent in the under-1-year group (22.2%) and slip downs (30.1%) were more frequent in 1-to-4-year group. More than half (53.4%) of the injuries occurred in the home, and the most common places of home-related injuries were the living room (41.1%) and the bedroom (31.2%). The mean (${\pm}SD$) NISS was 1.5 (${\pm}1.8$), and traffic accidents had the highest NISS ($2.8{\pm}5.1$). Injuries occurred most frequently during the evening. The peak period was 4:00 PM to 8:00 PM (33.7%). Conclusion: Patterns of childhood injury by age group were considerably different, and less severe and nonhospitalized injuries were common. Thus, need to improve surveillance of a variety of injuries, promote intersectional collaboration, build institutional capacities and mobilize community support and policy as an investment in prevention.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.4
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• pp.97-109
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• 2012

In this study this writer carried out survey and analysis on paving materials of children's playground for 40 apartment buildings with each of such apartment containing 100 households or more and which were built within last 15 years in Jeonju. As a result of analysis of such questionnaires this author could draw following conclusion. In the second half of 1990s pavement materials which were used mainly were sand and during first half of 2000s they were mixture of sand and rubber block and around 2010 they were rubber block or rubber chip pavements. Such change seemed to be a result of consideration of convenience for management and safety rather than in deference to diversity of children's outing places. Survey on the current status of pavement materials revealed need for directives by the main entity for management and their firm resolve for its implementation. And there was need for their coping with problems such as pressure of treading or lack of it or poor condition of drainage in case of sand and phenomena of pitting or dipping down, discoloring and poor drainage in case of rubber chips and rubber blocks and loosening of gaps between rubber blocks etc. Result of analysing status of usage disclosed that 50.4% of the respondents to questionnaires stated that they had experience of accidents. With regard to cause of such accident it was found that 47.5% of accidents were attributable to play facilities and 19.5% were due to paving (floor) materials thus it was disclosed that not only play facilities but also pavement materials had impact on safety for the children. Result of analysing level of satisfaction with pavement materials showed that pavement by rubber chips and blocks had higher level of satisfaction which was reflection of fear on cleanness of sand. In terms of preference rubber chip and rubber block pavements were highest and the next one was sand. Reason for such preference was based on concern with safety.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.9-14
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• 2019

Currently, with the success of 5G commercialization, a server system that integrates various Internet public safety services should be developed. In this paper, we developed a public safety integrated server, which is an IoT platform connecting IoT device and IoT gateway based on IP PBX. This server is based on embedded OS and various IoT services are executed in one system and call processing / broadcasting server function that processes emergency call and emergency broadcasting in public places is built in. This system collects IoT sensor data and emergency bell information and automatically sends out emergency alarms, emergency evacuation broadcasts, etc. at an accident site in an emergency situation, and transmits the daily information to the upper IoT service server, Provide public safety management services.

• Journal of Platform Technology
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• v.9 no.3
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• pp.44-51
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• 2021

In general, golden time refers to the most important time in the initial response to accidents such as saving lives or extinguishing fires. The golden time varies from disaster to disaster, but is aimed at five minutes in terms of fire and first aid. However, for the actual site, the average dispatch time for ambulances is 9 minutes and the average transfer time is 17.6 minutes, which is quite large compared to the golden time. There are various causes for this delay, but the main cause is traffic jams. In order to solve the problem, the government has established emergency car concession obligations and secured golden time to prioritize ambulances in places with the highest accident rate, but it is not a solution in rush hour when traffic is increasing rapidly. Therefore, this paper proposed a deep learning-based emergency vehicle priority signal system using collected sound data by installing sound sensors on traffic lights and conducted an experiment to classify frequency signals that differ depending on the distance of the emergency vehicle.

• Physical Therapy Rehabilitation Science
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• v.11 no.1
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• pp.66-77
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• 2022

Objective: This study is a systematic review conducted to analyze the environmental factors that cause falls in the older adult. Design: Systematic review Methods: The study was conducted by searching the Research Information Sharing Service (RISS), Korean studies Information Service System (KISS), and Data Base Periodical Information Academic (DBpia) databases for literature published in South Korea up to July 2020. A total of 12 studies were selected for analysis based on the inclusion and exclusion criteria. Results: The results of the analysis revealed that all the selected literature were surveys and the study subjects were 65 years of age and above. The sample size ranged from a minimum of 95 subjects to a maximum of 3,278. A total of eight tools were used to measure the environmental factors associated with falls. The prevalence and recurrence of falls increase with age and deterioration of health. Older adult individuals who experience falls encounter difficulties in recovering from impaired physical function and disability; moreover, in severe cases, falls may lead to death. Falls are largely associated with a combination of intrinsic and extrinsic (i.e., environmental) factors. The purpose of this study was to assess potential extrinsic risk factors for falls. Falls occur in indoor environments, such as washrooms, bathrooms and living rooms, and outdoor environments, including roads and stairways, depending on the season, time of day, and use of ambulatory aids. In such environments, falls are mainly caused by slipping and stuttering. Conclusions: Therefore, as the rate of fall is influenced by several factors, extrinsic factors should be improved by developing comprehensive accident prevention programs that address the improvement of environmental risk factors around places of residence to reduce risk factors among the older adult, who, especially, are at a high risk for falls.

• Communications for Statistical Applications and Methods
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• v.30 no.1
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• pp.95-107
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• 2023

Purpose: The statistical analysis of point processes on linear networks is a recent area of research that studies processes of events happening randomly in space (or space-time) but with locations limited to reside on a linear network. For example, traffic accidents happen at random places that are limited to lying on a network of streets. This paper applies techniques developed for point processes on linear networks and the tools available in the R-package spatstat to estimate the intensity of traffic accidents in Leon County, Florida. Methods: The intensity of accidents on the linear network of streets is estimated using log-linear Poisson models which incorporate cubic basis spline (B-spline) terms which are functions of the x and y coordinates. The splines used equally-spaced knots. Ten different models are fit to the data using a variety of covariates. The models are compared with each other using an analysis of deviance for nested models. Results: We found all covariates contributed significantly to the model. AIC and BIC were used to select 9 as the number of knots. Additionally, covariates have different effects such as increasing the speed limit would decrease traffic accident intensity by 0.9794 but increasing the number of lanes would result in an increase in the intensity of traffic accidents by 1.086. Conclusion: Our analysis shows that if other conditions are held fixed, the number of accidents actually decreases on roads with higher speed limits. The software we currently use allows our models to contain only spatial covariates and does not permit the use of temporal or space-time covariates. We would like to extend our models to include such covariates which would allow us to include weather conditions or the presence of special events (football games or concerts) as covariates.

• Journal of Platform Technology
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• v.11 no.6
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• pp.79-88
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• 2023

Recently, industrial accidents have continued to increase due to the industrialization, and worker safety management is recognized as essential to reduce losses due to hazardous factors at work places. To manage the safety of workers, it is required to apply customized safety management artificial intelligence technology that takes into account the characteristics of industrial sites, and a service for real-time risk detection and response to workers depending on the situation based on safety accident types and risk analysis for each task and process. The proposed safety management service consists of worker devices to acquire sensor data, edge devices to collect from IoT-based sensors, and a voice chatbot to support workers' disaster response. The voice chatbot plays a major role in interacting with workers at disaster sites to respond to risks. This paper focuses on real-time risk response using an IoT-based system and voice chatbot on a server for work safety according to the worker's situation. A Scenario-based voice chatbot is used to process responses at the edge level to provide safety management services.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.1
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• pp.125-131
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• 2006

The existing X-ray generators are either ones which are settled at fixed places or ones which are movable to sick rum. Movable generators can be very useful according to the circumstances of patients, but there remains a restraint that AC220[V] in the hospitals must be provided. When examining a first-aid patient who stays distant from the hospital or when grouping patients caused by disaster, the services of doctors at emergency centers should be very restrictive. Hence, this study developed a portable digital X-ray power supply unit that are utilizable at the accident spot or in a moving ambulance. By using the nit, the information of patients can be transmitted to the emergency center on the spot and thereby doctors can make a correct diagnosis. The properties of the unit are as follows: First, portable batteries(DCl2[V]) are utilized as electric source for the wit. Second PIC16F84A is utilized as control circuit in order to guarantee considerable reliance and to provide various functions. This portable digital X-ray power supply unit is expected to contribute to the emergency medical service system to be more advanced.

• Korean Journal of Social Welfare
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• v.68 no.4
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• pp.97-118
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• 2016

The primary goal of this study was to investigate factors affecting job satisfaction of injured workers who returned to work. There are two types of injured workers' returning to work returning to pre-injury job and getting a new job. After separating the two types of workers we conducted the multiple regression analysis on the data from the Workers'Compensation Insurance Panel of the Korea Workers' Compensation and Welfare Service Corporation(2014). The sample consisted of 1,333 occupationally injured workers who were finished with medical treatment(693 workers returned to previous work place, and 640 workers found new work places). Main results are as follows. First, injured workers who got new jobs were vulnerable to sustainability to job, work status, average monthly wage as well as job satisfaction compared with injured workers who returned to pre-injury job. Second, gender, educational level, skill fitness, average monthly wage, welfare benefits, family income/leisure life/residential environment/social relation satisfaction, and maintenance of relation with business owner during medical care were related to job satisfaction of injured workers who returned to pre-injury job. Third, gender, work status, skill fitness, continuous work possibility, average monthly wage, family income/leisure life/social relation satisfaction, substitute worker for assigned task during medical care and maintenance of relation with business owner during medical care affected on job satisfaction of injured workers who got new jobs. Based on these findings implications for policy and interventions were discussed in regards to job satisfaction of injured workers.