• Title/Summary/Keyword: occurrence probability

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The Correlation between Asthma and Oral and Mental Health (천식과 구강건강 및 정신건강과의 관련성)

  • Yoon, Soo-Yeon;Lee, Kyung-Hee
    • Journal of The Korean Society of Integrative Medicine
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    • v.9 no.3
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    • pp.47-58
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    • 2021
  • Purpose : This study aimed to investigate the association between asthma and oral health and factors influencing asthma in adults. We also investigated whether asthma is related to mental health and physiological factors of blood. Methods : Data from 12,639 adults was taken from the 7th period (2016~2018) Korea National Health and Nutrition Examination Survey and analyzed using with SPSS 22.0 statistical program. Statistical analysis of data included frequency analysis, cross-analysis, and logistic regression analysis. For continuous data, an independent sample t-test was performed. The statistical significance level was defined as 0.05. Results : The probability of asthma occurrence was statistically different within general characteristics (gender, age, school grade, income, and drinking). By independent variables in a logistic regression analysis, the asthma diagnosis group had more people with speech discomfort (OR=1.37), chewing discomfort (OR=1.29), and oral pain (OR=.73). We found that people with asthma had a more unfavorable perception of their health (OR=1.73), suffered more depression (OR=.45), stress (OR=.66), and limited activity (OR=2.38). Moreover, the white blood cell count (OR=1.10) and high sensitivity C-reactive protein test (OR=1.06) also showed higher values than the control group. Conclusion : Our study showed that oral health and mental health were associated with the asthma, and influencing factors were oral health and behavior and mental health-related characteristics. Therefore, it is necessary to understand asthma-related risk factors for oral health and recognize the importance of systematic oral care education and regular dental visits for patients receiving asthma treatment. Thus, this study provides valuable insights on appropriate oral health management and prevention of asthma in patients.

Probabilistic Monitoring of Effect of Meteorological Drought on Stream BOD Water Quality (기상학적 가뭄이 하천 BOD 수질에 미치는 영향의 확률론적 모니터링)

  • Jiyu Seo;Jeonghoon Lee;Hosun Lee;Sangdan Kim
    • Journal of Korean Society on Water Environment
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    • v.39 no.1
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    • pp.9-19
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    • 2023
  • Drought is a natural disaster that can have serious social impacts. Drought's impact ranges from water supply for humans to ecosystems, but the impact of drought on river water quality requires careful investigation. In general, drought occurs meteorologically and is classified as agricultural drought, hydrological drought, and environmental drought. In this study, the BOD environmental drought is defined using the bivariate copula joint probability distribution model between the meteorological drought index and the river BOD, and based on this, the environmental drought condition index (EDCI-BOD) was proposed. The results of examining the proposed index using past precipitation and BOD observation data showed that EDCI-BOD expressed environmental drought well in terms of river BOD water quality. In addition, by classifying the calculated EDCI-BOD into four levels, namely, 'attention', 'caution', 'alert', and 'seriousness', a practical monitoring stage for environmental drought of BOD was constructed. We further estimated the sensitivity of the stream BOD to meteorological drought, and through this, we could identify the stream section in which the stream BOD responded relatively more sensitively to the occurrence of meteorological drought. The results of this study are expected to provide information necessary for river BOD management in the event of meteorological droughts.

Development of a decision scaling framework for drought vulnerability assessment of dam operation under climate change (Decision Scaling 기반 댐 운영 기후변화 가뭄 취약성 평가)

  • Kim, Jiheun;Seo, Seung Beom;Cho, Jaepil
    • Journal of Korea Water Resources Association
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    • v.56 no.4
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    • pp.273-284
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    • 2023
  • Water supply is continuously suffering from frequent droughts under climate change, and such extreme events are expected to become more frequent due to climate change. In this study, the decision scaling method was introduced to evaluate the drought vulnerability under future climate change in a wider range. As a result, the water supply reliability of the Boryeong Dam ranged from 95.80% to 98.13% to the condition of the aqueduct which was constructed at the Boryeong Dam. Furthermore, the Boryeong Dam was discovered to be vulnerable under climate change scenarios. Hence, genetic algorithm-based hedging rules were developed to evaluate the reduction effect of drought vulnerability. Moreover, three demand scenarios (high, standard, and low demand) were also considered to reflect the future socio-economic change in the Boryeong Dam. By analyzing quantitative reliability and the probability of extreme drought occurrence under 5% of the water storage rate, all hedging rules demonstrated that they were superior in preparing for extreme drought under low-demand scenarios.

Estimation of Occurrence Probability of Socioeconomic Damage Caused by Meteorological Drought Using Categorical Data Analysis (범주형 자료 분석을 활용한 사회경제적 가뭄 피해 발생확률 산정 : 충청북도의 적용사례를 중심으로)

  • Yu, Ji Soo;Yoo, Jiyoung;Kim, Min-ji;Kim, Tae-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.348-348
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    • 2021
  • 가뭄 연구의 궁극적 목표는 가뭄 발생의 메커니즘에 대한 이해를 높이고, 예측기술을 향상시켜 선제적 대응이 가능하도록 하는 것이다. 일반적으로 가뭄분석에 활용되는 가뭄지표는 연속형 변수로 간주하여 확률모형을 구축하지만, 가뭄상태와 가뭄피해 자료는 순서형 및 이산형 변수이므로 범주형 자료 분석 기법을 적용하는 것이 더 적절하다. 따라서 본 연구에서는 기상학적 가뭄과 피해발생 사이의 관계를 규명하기 위해 범주형 자료 분석 방법 중 로그선형(log-linear) 모형과 로지스틱(logistic) 회귀모형을 활용하였다. 가뭄피해 예측을 위한 가뭄 피해 정보를 수집하는 것은 매우 어려운 일이다. 가뭄의 영향으로 인해 발생할 수 있는 피해의 종류가 다양하며, 여러 분야의 이해관계자가 받아들이는 가뭄의 피해 양상이 다르기 때문이다. 본 연구에서는 국가가뭄정보포털(drought.go.kr)에서 충청북도의 가뭄피해현황 자료를 수집하였다. 30년(1991~2020년)동안 238개 읍면동 중 34개 행정구역에서 총 272건의 가뭄피해가 발생한 것으로 확인되었다. 표준강수지수(SPI)를 이용하여 분석된 지역별 연평균 가뭄발생횟수는 약 8.44회이며, 가뭄이 가장 많이 발생한 해는 2001년(평균 가뭄발생 18.7회)이었다. 강수의 부족으로 인해 발생하는 기상학적 가뭄이 사회경제적 피해를 야기하는 수문학적 가뭄으로 전이되기까지 몇 주에서 몇 달까지 시간이 소요된다. 이러한 관계를 파악하기 위해 가뭄피해 발생 여부를 예측변수, 가뭄피해 발생 이전의 가뭄상태를 설명변수로 설정하여 기상학적 가뭄 발생에 따른 가뭄피해 발생 확률을 산정하였다. 그 결과 가뭄피해 발생 당시의 가뭄상태보다 그 이전에 연속된 가뭄상태가 있을 경우 가뭄피해 발생 확률이 약 2.5배 상승하는 것으로 나타났다.

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Risk analysis of red water and turbid water based on seasonal water usage (계절별 수도사용량에 따른 적수 및 탁수발생 위험도 분석)

  • Han, Jin Woo;Lee, Sang Mok;Kwon, Hyuk Jae
    • Journal of Korea Water Resources Association
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    • v.56 no.7
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    • pp.451-460
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    • 2023
  • In this study, the risk of red water and turbid water occurrence was analyzed by classifying it into detachment risk and deposition risk. First, risk factors for red water and turbid water were determined, and hydraulic analysis was conducted considering seasonal water consumption. The applied area was Cheongju City, and the risk analysis was conducted across 13 areas, and the areas with high deposition risk and high detachment risk were selected. The high risk of both detachment and deposition can be judged as an area with a very high probability of causing water quality problems. The areas with the highest deposition risk and detachment risk are the old towns of Nae deok1-dong and Yul1yang-dong, which are the oldest areas in Cheongju City with an age of more than 30 service years of pipe installation. By analyzing the risk of deposition and detachment, it will be possible to strengthen the maintenance function of the water supply network to provide the safe water to citizens and increase their confidence for tap water.

Proposal for Government Quality Assurance Risk Assessment System for Military Supplies (군수품 정부품질보증 위험성 평가제도 개선을 위한 제언)

  • Namsu Ahn
    • Journal of Korean Society for Quality Management
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    • v.51 no.2
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    • pp.155-170
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    • 2023
  • Purpose: Nowadays, the risk assessment system is widely used in many industrial and public areas to reduce the possible risks. The system is used to determine the priorities of the government quality assurance works in Defense Agency for Technology and Quality. However, as the risk assessment system is used for other purposes, there are some items that need improvement, and in this study, we propose improvement plans by benchmarking the risk assessment systems of other institutions. Methods: In this paper, first, the procedures of risk assessment system used in many industrial sites were reviewed, and how each institution specialized and applied the system. Afterwards, by benchmarking various risk assessment systems, an improvement plan on how to operate the risk assessment system in the case of government quality assurance for centrally procured military supplies was presented, and practical application cases were presented to prove the usefulness of the improvement plan. Results: The proposed risk assessment system differs from the existing system in five major aspects. First, inputs, outputs, and key performance indicators were specified from the systematic point of view. Second, risk analysis was analyzed in four dimensions: probability of occurrence, impact, detection difficulty. Third, risk mitigation measures were classified, control, transfer, and sharing. Fourth, the risk mitigation measures were realized through document verification, product verification, process verification, and quality system evaluation. Finally, risk mitigation measures were implemented and the effectiveness of the risk mitigation measures was evaluated through effectiveness evaluation. Conclusions: In order for the risk assessment procedure proposed in this study to be applied to actual work, it is necessary to obtain the consent of the person involved in the work due to the increased time for risk identification and preparation of the government quality assurance log, and a change in the information system that performs the actual work is required. Therefore, the authors of this study plan to actively perform internal seminar presentations and work improvement suggestions to apply these research outputs to actual work.

Change of AMC due to Climatic Change (기후변화에 따른 선행토양함수조건(AMC)의 변화)

  • Yoo, Chulsang;Park, Cheong Hoon;Kim, Joong Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.3B
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    • pp.233-240
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    • 2006
  • One of the main factor that effects on the CN's value in SCS Curve Number method for the estimation of direct runoff is the antecedent soil moisture condition (AMC). It is also common to use the AMC-III in hydrologic practice, which provides the largest runoff as possible. In this paper, AMC defending on the rainfall characteristics is analyzed using daily rainfall data at rainy season (June~September) of the Seoul station from 1961 to 2002. The probability mass function of AMC is also investigated to analyze the variation of AMC based on climate change, scenarios from several General Circulation Model (GCM) predictions. As a results we can find that the occurrence of AMC-I is reduced, and AMC-III is increased, whereas AMC-II does not change.

Landslide Risk Assessment of Cropland and Man-made Infrastructures using Bayesian Predictive Model (베이지안 예측모델을 활용한 농업 및 인공 인프라의 산사태 재해 위험 평가)

  • Al, Mamun;Jang, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.27 no.3
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    • pp.87-103
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    • 2020
  • The purpose of this study is to evaluate the risk of cropland and man-made infrastructures in a landslide-prone area using a GIS-based method. To achieve this goal, a landslide inventory map was prepared based on aerial photograph analysis as well as field observations. A total of 550 landslides have been counted in the entire study area. For model analysis and validation, extracted landslides were randomly selected and divided into two groups. The landslide causative factors such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in the analysis. Moreover, to identify the correlation between landslides and causative factors, pixels were divided into several classes and frequency ratio was also extracted. A landslide susceptibility map was constructed using a bayesian predictive model (BPM) based on the entire events. In the cross validation process, the landslide susceptibility map as well as observation data were plotted with a receiver operating characteristic (ROC) curve then the area under the curve (AUC) was calculated and tried to extract a success rate curve. The results showed that, the BPM produced 85.8% accuracy. We believed that the model was acceptable for the landslide susceptibility analysis of the study area. In addition, for risk assessment, monetary value (local) and vulnerability scale were added for each social thematic data layers, which were then converted into US dollar considering landslide occurrence time. Moreover, the total number of the study area pixels and predictive landslide affected pixels were considered for making a probability table. Matching with the affected number, 5,000 landslide pixels were assumed to run for final calculation. Based on the result, cropland showed the estimated total risk as US $ 35.4 million and man-made infrastructure risk amounted to US $ 39.3 million.

A Stochastic Simulation Model for Estimating Activity Duration of Super-tall Building Project

  • Minhyuk Jung;Hyun-soo Lea;Moonseo Park;Bogyeong Lee
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.397-402
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    • 2013
  • In super-tall building construction projects, schedule risk factors which vertically change and are not found in the low and middle-rise building construction influence duration of a project by vertical attribute; and it makes hard to estimate activity or overall duration of a construction project. However, the existing duration estimating methods, that are based on quantity and productivity assuming activities of the same work item have the same risk and duration regardless of operation space, are not able to consider the schedule risk factors which change by the altitude of operation space. Therefore, in order to advance accuracy of duration estimation of super-tall building projects, the degree of changes of these risk factors according to altitude should be analyzed and incorporated into a duration estimating method. This research proposes a simulation model using Monte Carlo method for estimating activity duration incorporating schedule risk factors by weather conditions in a super-tall building. The research process is as follows. Firstly, the schedule risk factors in super-tall building are identified through literature and expert reviews, and occurrence of non-working days at high altitude by weather condition is identified as one of the critical schedule risk factors. Secondly, a calculating method of the vertical distributions of the weather factors such as temperature and wind speed is analyzed through literature reviews. Then, a probability distribution of the weather factors is developed using the weather database of the past decade. Thirdly, a simulation model and algorithms for estimating non-working days and duration of each activity is developed using Monte-Carlo method. Finally, sensitivity analysis and a case study are carried out for the validation of the proposed model.

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Prevalence and Determinants of Catastrophic Healthcare Expenditures in Iran From 2013 to 2019

  • Abdoreza Mousavi;Farhad Lotfi;Samira Alipour;Aliakbar Fazaeli;Mohsen Bayati
    • Journal of Preventive Medicine and Public Health
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    • v.57 no.1
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    • pp.65-72
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    • 2024
  • Objectives: Protecting people against financial hardship caused by illness stands as a fundamental obligation within healthcare systems and constitutes a pivotal component in achieving universal health coverage. The objective of this study was to analyze the prevalence and determinants of catastrophic health expenditures (CHE) in Iran, over the period of 2013 to 2019. Methods: Data were obtained from 7 annual national surveys conducted between 2013 and 2019 on the income and expenditures of Iranian households. The prevalence of CHE was determined using a threshold of 40% of household capacity to pay for healthcare. A binary logistic regression model was used to identify the determinants influencing CHE. Results: The prevalence of CHE increased from 3.60% in 2013 to 3.95% in 2019. In all the years analyzed, the extent of CHE occurrence among rural populations exceeded that of urban populations. Living in an urban area, having a higher wealth index, possessing health insurance coverage, and having employed family members, an employed household head, and a literate household head are all associated with a reduced likelihood of CHE (p<0.05). Conversely, the use of dental, outpatient, and inpatient care, and the presence of elderly members in the household, are associated with an increased probability of facing CHE (p<0.05). Conclusions: Throughout the study period, CHE consistently exceeded the 1% threshold designated in the national development plan. Continuous monitoring of CHE and its determinants at both household and health system levels is essential for the implementation of effective strategies aimed at enhancing financial protection.