• Title/Summary/Keyword: Risk Identify

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A Development of the Risk Identification Checklist through the Re-establishment of Risk Breakdown Structure of Construction Project (건설사업 위험분류체계의 재정립을 통한 위험인지 체크리스트 개발)

  • Chu Hae-Keum;Kim Seon-Gyoo
    • Korean Journal of Construction Engineering and Management
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    • v.4 no.2 s.14
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    • pp.109-117
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    • 2003
  • The construction project is largely exposed to much more risk events over the project life cycle due to its complexity and size than the other industries. Therefore, the construction risk management process to identify and response the risk events is not only performing acutely but also proceeding systematically. The risk identification phase in the risk management process is to identify various risk events and define its characteristics. At this phase, the risk identification system is very useful tool to identify every possible risk events in the project. This study shows some problems of the existing risk identification system and proposes the modified risk identification system based on the project phases and the contract bodies, and also suggests partial but more enough detailed risk checklists to be implemented in the actual risk identification phase than any other existing risk breakdown systems to be examined at this study.

A GIS-Based Mapping to Identify Locations at Risk for Highly Pathogenic Avian Influenza Virus Outbreak in Korea (지리정보시스템 기반의 고병원성 조류인플루엔자 발생 위험지도 구축)

  • Lee, Gyoungju;Pak, Son-Il
    • Journal of Veterinary Clinics
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    • v.34 no.2
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    • pp.146-151
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    • 2017
  • Six major outbreaks of highly pathogenic avian influenza (HPAI) occurred from 2003 to 2016 in Korea. Epidemiological investigations of each outbreak revealed that migratory birds were the primary source of the HPAI virus. During the last five years, the geographic transmission pattern of domestic HPAI seems to have extended from local to nationwide; therefore, it is necessary to identify specific locations in which poultry farms are at elevated risk for HPAI outbreak to enable targeted surveillance and other mitigation strategies. Here, a geographical information system (GIS)-based analysis was used to identify geographic areas at high risk for future HPAI incidents in Korea based on historical outbreak data collected between December 2003 and April 2016. To accomplish this, seven criteria were used to identify areas at high-risk for HPAI occurrence. The first three criteria were based on defined spatial criteria buffering of 200 bird migration sites to some defined extents and the historical incidence of HPAI outbreaks at the buffering sites. The remaining criteria were based on combined attribute information such as number of birds or farms at district levels. Based on the criteria established for this study, the most-likely areas at higher risk for HPAI outbreak were located in Chungcheong, Jeolla, Gyeonggi, and Gyeongnam provinces, which are densely populated poultry regions considered major poultry-production areas that are located along bird migration sites. The proportion of areas at risk for HPAI occurrence ranged from 4.5% to 64.9%. For the worst criteria, all nine provinces, including Jeju Island, were found to be at risk of HPAI. The results of this study indicate that the number of poultry farms at risk for HPAI outbreaks is largely underestimated by current regulatory risk assessment procedures conducted for biosecurity authorization. The HPAI risk map generated in this study will enable easy use of information by policy makers to identify surveillance zones and employ targeted surveillance to reduce the impact of HPAI transmission.

Youth Health Risk Behavior Survey on Adolescents in Urban Setting (도시지역 청소년의 건강 위험 행위 실태조사)

  • Tak, Young-Ran;Yun, E-Hwa
    • Journal of the Korean Society of School Health
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    • v.20 no.1
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    • pp.11-24
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    • 2007
  • Purpose : Health Risk behaviors are a leading cause of preventable morbidity and mortality. Adolescents is a critical transitional period for establishing health behavior for healthy life. The purpose of this study was to describe the types and frequency of the health risk behaviors being performed by middle school students, examine the gender and grade differences of health risk behaviors, and identify the relationship among health risk behaviors. Methods : A total of 1952 early adolescents recruited from 7 middle schools in a district of urban setting completed questionnaires. Youth Risk Behavior Survey-Middle school questionnaires was used to identify the types of health risk behaviors among early adolescents. Data were analyzed by descriptive statistics and Chi-Square test using SAS program . Results : The results showed the frequency for most health risk behaviors and increased with advancing grade level. Males were more likely than females to behaviors related to smoking and violence, whereas females were more likely than males to have suicidal thoughts, be physical inactive and attempt to lose weight. Among health risk behaviors, the relationship of alcohol experience, smoking, and suicide was high. Conclusion : The findings identify a high risk target group among middle school adolescents and suggest that preventive intervention strategies should take into consideration the types with gender and grade, and provided the evidence that one of health risk behaviors may induce the other health risk behaviors.

The factors to identify high risk family (고위험가족 선별을 위한 위험요인 분석)

  • 방숙명
    • Journal of Korean Academy of Nursing
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    • v.25 no.2
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    • pp.351-361
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    • 1995
  • The main purpose of the study is to identify critical risk factors for development of a family assessment tool to screen high risk family. This study used a conceptual framework of family diagnosis developed by Eui-sook Kim's (1993) and analyzed risk factors to identify the high risk family. As employing a explorative and methodological study design, this study has four stages. 1. In the first stage, 34 family risk factors were identified by doing intensive literature review on conceptual framework of family diagnoses. 2. In the second stage, above risk factors were tested for content validity by consultation with 29 persons in community health nursing, nursing education, family theory, and social work. 3. In the third stage, existing survey data was used for actual application of the identified risk factors. The survey data used for this purpose was previously collected for the community diagnosis in a region of Seoul. At the final stage, through the comparison between high risk and low risk families, initially identified 34 risk factors decreased to 25 risk factors. Among 34 risk factors, six factors did not agree with content of questionnaries sand two factors were not significant in differentiating the high risk family Also, two risk factors showed high correlation between themselves, so only one of those two factors was chosen. As a result, twenty-five risk factors chosen to identify the high risk family are following ; 1. A single parent family due to divorce or death of a partner, or unweded single mother 2. A family with an unrelated household members 3. A family with a working mother with a young child 4. A family with no regular income 5. A family with no rule in family or too strict rules 6. A family with little or no support from other lam-ily members 7. A family with little or no support from friends or relatives 8. A family with little or no time to share with each other 9. A family with family history of hypertension, diabetus, cancer 10. A family with a sick person 11. A family with a mentally ill person 12. A family with a disabled person 13. A family with an alcoholic person 14. A family with a excessive smoker who smokes more than 1 pack / day 15. A family with too much salt intake in their diet. 16. A family with inappropriate management skills for family health 17. A family with high utilization of drug store than hospital to solve the health problems of the family 18. A family with disharmony between husband and wife 19. A family with conflicts among the family members 20. A family with unequal division of labor among family members 21. An authoritative family structure 22. A socially isolated family 23. The location of house is not residential area 24. A family with high risk of accidents 25. The drinking water and sewage systems are not hygienic. The main implication of the results of this study is clinical use. The high risk factors can be used to identify the high risk family effectively and efficiently. The use of high risk factors woule contribute to develop a conceptual framework of family diagnosis in Korea and the list of risk factors need to be revised continuously. Further researches are needed to develop an index of weight of each risk factor and to validate the risk factors.

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Development of a Risk Management Procedure Model for the Construction Project Using Construction Risk Management System (CRMS를 활용한 건설공사의 리스크관리 절차모형 개발)

  • Kim, Chang Hak;Kang, Leen Seok;Park, Hong Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4D
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    • pp.423-432
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    • 2010
  • This study suggested CRMS (construction risk management system) which is a new risk analysis model after analyzing existing risk management process for to guarantee a successful performance at the construction planning and work phase. CRMS is risk management procedures in order that the contractor identify, analyze and administrate the risk during performing construction project. This model may give much help to quantify and be ready the right managing methods about identified risk by the contractor. Especially, the most important and difficult things of all risk management may be to identify risk in the project. This study make more focusing on the developing a procedure that can identify risk more easily in the construction project. The risk is divided into global risk and local risk of a project. Also, this study suggests methods which are using the RBS (risk breakdown structure) related with WBS. This result will be useful as basic materials for developing computerizing system for risk management.

Factors Related to Regional Variation in the High-risk Drinking Rate in Korea: Using Quantile Regression

  • Kim, Eun-Su;Nam, Hae-Sung
    • Journal of Preventive Medicine and Public Health
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    • v.54 no.2
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    • pp.145-152
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    • 2021
  • Objectives: This study aimed to identify regional differences in the high-risk drinking rate among yearly alcohol users in Korea and to identify relevant regional factors for each quintile using quantile regression. Methods: Data from 227 counties surveyed by the 2017 Korean Community Health Survey (KCHS) were analyzed. The analysis dataset included secondary data extracted from the Korean Statistical Information Service and data from the KCHS. To identify regional factors related to the high-risk drinking rate among yearly alcohol users, quantile regression was conducted by dividing the data into 10%, 30%, 50%, 70%, and 90% quantiles, and multiple linear regression was also performed. Results: The current smoking rate, perceived stress rate, crude divorce rate, and financial independence rate, as well as one's social network, were related to the high-risk drinking rate among yearly alcohol users. The quantile regression revealed that the perceived stress rate was related to all quantiles except for the 90% quantile, and the financial independence rate was related to the 50% to 90% quantiles. The crude divorce rate was related to the high-risk drinking rate among yearly alcohol users in all quantiles. Conclusions: The findings of this study suggest that local health programs for high-risk drinking are needed in areas with high local stress and high crude divorce rates.

A Study on the Development of Risk Check List and Identification of Risk Factors for Survey in Road Construction (측량 분야의 리스크 식별을 위한 리스크 체크리스트 개발 -도로 공사를 중심으로-)

  • Kwak, Jun-Hwan;Park, Hyung-Keun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.901-904
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    • 2008
  • The purpose of this study is to identify the risk factors, analyze the risk factors and make a risk check list of survey in road construction. Generally. the risk management is consisted of 3 steps: risk identification, Risk analysis, Risk hedge. This study is focused on the identification of risk and analysis of risk. To identify the risk factors of survey, we used the specifications of road construction, law of survey, and check list of road construction. This study provides the risk check list of survey for road construction. This research was undertaken to analyze risk factors being determine by the FGI(Focus Group Interview) method with survey specialists.

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Identify the Risk Factors in Dengue Haemorrhagic Fever (DHF) using GIS

  • Nakhapakornc, Kanchana;Tripathi, Nitin;Nualchawee, Kaew;Kusanagi, Michiro;Pakpien, Preeda
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.93-95
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    • 2003
  • Vector-borne diseases have been the most important worldwide health problem for many years and still represent a constant and serious risk to a large part of the world’s population. GIS and RS is used to evaluate and model the relationships between environmental factors/indicators and the incidences of viral diseases. The aim of the study is to identify the risk factors in Dengue Haemorrhagic Fever DHF) from the highest prevalence area and lowest prevalence area in Sukhothai province, Thailand using statistical, spatial and GIS Modeling. Results obtained in the study of the Dengue show that it is now possible to identify and localize precisely environmental indicators and factors of viral diseases.

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A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study

  • Blake Callahan;Darwin Ang;Huazhi Liu
    • Journal of Trauma and Injury
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    • v.37 no.2
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    • pp.124-131
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    • 2024
  • Purpose: The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma. Methods: A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS. Results: Novel risk factors identified include venous thromboembolism prophylaxis type particularly unfractionated heparin (odds ratio [OR], 2.67; 95% confidence interval [CI], 2.33-3.05; P<0.001), blood product transfusions (blood per unit: OR 1.13 [95% CI, 1.09-1.18], P<0.001; platelets per unit: OR 1.16 [95% CI, 1.09-1.24], P<0.001; cryoprecipitate per unit: OR 1.13 [95% CI, 1.04-1.22], P=0.003). Conclusions: This study provides evidence to believe that heparin use and blood product transfusions may be additional risk factors to evaluate when considering methods of risk stratification of lower extremity ACS. We propose a risk calculator using previously elucidated risk factors, as well as the risk factors demonstrated in this study. Our nomogram-based risk calculator is a tool that will aid in screening for high-risk patients for ACS and help in clinical decision-making.

Risk Analysis of Lifting Work for Risk Assessment of Modular Construction (모듈러 건축 현장의 위험성평가를 위한 양중작업 위험요소 분석)

  • Jun, Young-HUN;Kim, Kyoon-Tai;Jeon, Eun-Bi
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.05a
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    • pp.291-292
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    • 2021
  • In modular construction, it is insufficient for safety management of workers, and workers are still exposed to the risk of accidents due to work at high places for lifting and assembly work in modular construction sites. Therefore, it is necessary when preventive safety management through risk management of workers on modular construction sites. This study is a basic study for the risk assessment(checklist) of modular construction, and the purpose of this study is to analyze the risk factors of the module lifting work at the modular construction site. It is intended to identify the hazard risk factors and improvement measures of the existing lifting operation, by analyzing the case of the risk assessment of the existing RC method, and to identify the risk factors for each work process when lifting the module. In the future, the results of this study are expected to be utilized in the development of checklists for risk assessment as safety management plan for modular construction sites.

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