• Title/Summary/Keyword: Relative Risk

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Comparison of Severe Disease Incidence among Eligible Insureds to Expand Coverage for Substandard Risks (유병자 보험의 보장성 확대를 위한 유병자들의 중증질환 발생률 비교)

  • Baek, Hyeyoun;Son, Jihoon;Shin, Jimin
    • Journal of health informatics and statistics
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    • v.43 no.4
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    • pp.318-328
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    • 2018
  • Objectives: People are living longer, but often with diseases or chronic conditions. As a consequence, interest in resolving insurance blind spots is growing. This study provides substandard risk-relevant statistics to help substandard risks who are likely to fall in insurance blind spots obtain insurance coverage, such as the reimbursement of medical costs, as well as to stimulate insurance product development. Methods: This study uses National Health Insurance Service (NHIS) cohort data to determine the relevant statistics. The incidence rates of severe diseases are derived and compared against standard risks to establish a set of relative risk factors. These incidence rates of standard and substandard risks are then compared. Results: Currently, an individual's cancer history is used in the underwriting process for simplified issue insurance. However, underwriting focusing on hospitalization and procedures related to serious illnesses could lower premiums for substandard risks. Moreover, the statistical results could be used to expand the coverage of health insurance products. Conclusions: This study's relative risk factors can be used to derive simplified issue premium rates for substandard risks. They can also be used to implement discount and loading schemes for medical reimbursement insurance and help insurance companies implement proactive risk management.

A Study on the Degree of Collision Risk with Relative Bearing at CPA (최근접점 상대방위에 따른 선박충돌위험알고리즘 개발에 관한 연구)

  • Lee, Jin-Suk;Jung, Min;Song, Chae-Uk
    • Journal of Navigation and Port Research
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    • v.39 no.6
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    • pp.493-498
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    • 2015
  • When VTSOs(Vessel Traffic Service Operators) determine the degree of collision risk of two vessels, they consider comprehensively information about each vessel's course, speed, DCPA, TCPA and encountering situation. In this study, we proposed an algorithm in which two relative bearings as information about two vessel's encountering situation are used to evaluate the degree of collision risk. In order to verify whether the proposed algorithm is reasonable, we set twenty encountering situations and conducted a survey of collision risk on fifty three VTSOs about those situations. By comparing the degrees of collision risk with the proposed algorithm to the results of the survey, we found that relative bearing at CPA is very important factor for VTSO to recognize the level of collision risk when two vessels are in encountering situation.

Health and Economic Burden Attributable to Particulate Matter in South Korea: Considering Spatial Variation in Relative Risk (지역간 상대위험도 변동을 고려한 미세먼지 기인 질병부담 및 사회경제적 비용 추정 연구)

  • Byun, Garam;Choi, Yongsoo;Gil, Junsu;Cha, Junil;Lee, Meehye;Lee, Jong-Tae
    • Journal of Environmental Health Sciences
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    • v.47 no.5
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    • pp.486-495
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    • 2021
  • Background: Particulate matter (PM) is one of the leading causes of premature death worldwide. Previous studies in South Korea have applied a relative risk calculated from Western populations when estimating the disease burden attributable to PM. However, the relative risk of PM on health outcomes may not be the same across different countries or regions. Objectives: This study aimed to estimate the premature deaths and socioeconomic costs attributable to long-term exposure to PM in South Korea. We considered not only the difference in PM concentration between regions, but also the difference in relative risk. Methods: National monitoring data of PM concentrations was obtained, and missing values were imputed using the AERMOD model and linear regression model. As a surrogate for relative risk, hazard ratios (HRs) of PM for cardiovascular and respiratory mortality were estimated using the National Health Insurance Service-National Sample Cohort. The nation was divided into five areas (metropolitan, central, southern, south-eastern, and Gangwon-do Province regions). The number of PM attributable deaths in 2018 was calculated at the district level. The socioeconomic cost was derived by multiplying the number of deaths and the statistical value of life. Results: The average PM10 concentration for 2014~2018 was 45.2 ㎍/m3. The association between long-term exposure to PM10 and mortality was heterogeneous between areas. When applying area-specific HRs, 23,811 premature deaths from cardiovascular and respiratory disease in 2018 were attributable to PM10 (reference level 20 ㎍/m3). The corresponding socioeconomic cost was about 31 trillion won. These estimated values were higher than that when applying nationwide HRs. Conclusions: This study is the first research to estimate the premature mortality caused by long-term exposure to PM using relative risks derived from the national population. This study will help precisely identify the national and regional health burden attributed to PM and establish the priorities of air quality policy.

Relative Location based Risk Calculation to Prevent Identity Theft in Electronic Payment Systems (전자지불거래에서 상대위치와 연동한 도용 위험성 산출방법)

  • Suh, Hyo-Joong;Hwang, Hoyoung
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.455-461
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    • 2020
  • Electronic payment system using Internet banking is a very important application for users of e-commerce environment. With rapidly growing use of fintech applications, the risk and damage caused by malicious hacking or identity theft are getting significant. To prevent the damage, fraud detection system (FDS) calculates the risk of the electronic payment transactions using user profiles including types of goods, device status, user location, and so on. In this paper, we propose a new risk calculation method using relative location of users such as SSID of wireless LAN AP and MAC address. Those relative location information are more difficult to imitate or copy compared with conventional physical location information like nation, GPS coordinates, or IP address. The new method using relative location and cumulative user characteristics will enable stronger risk calculation function to FDS and thus give enhanced security to electronic payment systems.

Development of a Risk Assesment Model for Excavator Work (굴착기 투입 작업의 위험성 평가모델 개발)

  • Kang, Sumin;Ra, Bohyun;Yang, Yejin;Han, Seungwoo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.11a
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    • pp.133-134
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    • 2022
  • Recently, the criteria for assessing industrial accidents have been replaced by the mortality rate. It was found that the number of deaths from excavation work was the highest among construction machinery. The risk assessment is being conducted, however the industrial accident mortality rate has not decreased. Accordingly, this study aims to provide the basic for the create of a risk assessment model specialized in construction work at excavator. It provides absolute value from the risk model which is capable of delivery the probability of a disaster. In addition, we provide a relative risk model that compares the risk through scores between detailed works. The relative risk model is combined by likelihood and severity; the likelihood indicates the frequency of accidents and the severity indicates seriousness of fatal accidents. A variable that reflects the conditions of the construction site was added to the risk assessment model based on past disaster cases. And using the concepts of probability and average, the risk assessment process was quantified and used as an objective indicator. Therefore, the model is expected to reduce disasters by raising the awareness of disasters.

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Application of Bayesian Multilevel Space-Time Models to Study Relative Risk of Esophageal Cancer in Iran 2005-2007 at a County Level

  • Rastaghi, Sedigheh;Jafari-Koshki, Tohid;Mahaki, Behzad
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.14
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    • pp.5787-5792
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    • 2015
  • Background: Reported age standardized incidence rates for esophageal cancer in Iran are 0.88 and 6.15 for females and males, at fifth and the eighth ranks, respectively, of cancers overall. The present study aimed to map relative risk using more realistic and less problematic methods than common estimators. Materials and Methods: In this ecological investigation, the studied population consisted of all esophageal cancer patients in Iran from 2005 to 2007. The Bayesian multilevel space-time model with three levels of county, province, and time was used to measure the relative risk of esophageal cancer. Analyses were conducted using R package INLA. Results: The total number of registered patients was 7,160. According to the results, the three-level model with adjustment for risk factors of physical activity and smoking had the best fit among all models. The overall temporal trend was significantly increasing. At county level, Ahar, Marand, Salmas, Bojnoord, Saghez, Sarakhs, Shahroud and Torbatejam had the highest relative risks. Physical activity was found to have significant direct association with risk of developing esophageal cancer. Conclusions: Given to great variation across geographical areas, many different factors affect the incidence of esophageal cancer. Conducting further studies at the individual level in areas with high incidence could provide more detailed information on risk factors of esophageal cancer.

DEVELOPMENT OF ROBUST LATERAL COLLISION RISK ASSESSMENT METHOD (측후방 충돌 안전 시스템을 위한 횡방향 충돌 위험 평가 지수 개발)

  • Kim, Kyuwon;Kim, Beomjun;Kim, Dongwook;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.5 no.1
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    • pp.44-49
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    • 2013
  • This paper presents a lateral collision risk index between an ego vehicle and a rear-side vehicle. The lateral collision risk is designed to represent a lateral collision risk and provide the appropriate threshold value of activation of the lateral collision management system such as the Blind Spot Detection(BSD). The lateral collision risk index is designed using the Time to Line Crossing(TLC) and the longitudinal collision index at the predicted TLC. TLC and the longitudinal collision index are calculated with the signals from the exterior sensor such as the radar equipped on the rear-side of a vehicle and a vision sensor which detects the distance and time to the lane departure. For the robust situation assessment, the perception of driving environment determining whether the road is straighten or curved should be determined. The relative motion estimation method has been proposed with the road information via the integrated estimator using the environment sensors and vehicle sensor. A lateral collision risk index was composed with the estimated relative motion considering the relative yaw angle. The performance of the proposed lateral collision risk index is investigated via computer simulations conducted using the vehicle dynamics software CARSIM and Matlab/Simulink.

Investment Analysis of Venture Business for Probabilistic Cases (벤처사업의 투자결정기법: 확률적 사례를 중심으로)

  • 백관호
    • Journal of Technology Innovation
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    • v.6 no.2
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    • pp.178-207
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    • 1998
  • This article suggests a methodology to decide the priority of investment project for venture business under the dynamic circumstance. By the Monte Carlo procedure on the probability distribution of cost and revenue, the model simulates the investment project to estimate profit ratio and risk. The profit ratio is calculated on the yearly basis for the relative comparison. The project risk is calculated as semi-variance under the target yield. After sufficient simulations in this fashion for several projects, the efficient projects with more profit and less risk are selected by the dominance principle. Then the regression equation of the selected projects is produced to find the relative value of the projects. The relative value is obtained through dividing the raw profit ratio by the estimated one on the equation. This value shows the degree to which the simulated project yields over the equation. The priority of investment is decided by this value. An examplary venture business of chemical development for semi-conductor is presented as a case study.

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A Study on Risk Evaluation of Crime in the Seoul Metropolitan Area based on Poisson Regression Model

  • Kim, Hag-Yeol;Yu, Hye-Kyung;Park, Man-Sik;Heo, Tae-Young
    • The Korean Journal of Applied Statistics
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    • v.25 no.5
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    • pp.865-875
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    • 2012
  • In this study, we identify the variables that affect the number of crime and spatial correlation in the Seoul metropolitan area, in addition, we measure the relative risk on the incidence of crime by a Poisson regression model. We suggest a statistical methodology to make a risk map for crime based on relative risk instead of the total event of crime by region using the Geographic Information System. To demonstrate the use and advantages of this methodology, this study presents an analyses of the total crime count in 25 wards in the Seoul metropolitan area.

Study on the Inundation Risk Evaluation by the Relationship Analysis (다양한 침수인자간의 상관관계 분석을 통한 침수위험지역 예측)

  • Choi, Sung-Wook;Jun, Hwan-Don;Park, Moo-Jong
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.115-118
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    • 2008
  • In this study, PROMETHEE(Preference Ranking Organization METHod for Enrichment Evaluations) which is one of the multi criteria decision making methods is applied to estimate the relative inundation risk of the urban subcatchment. For this purpose, five factors which have an effect on the inundation risk are selected and used to perform PROMETHEE. Those are elevation average, slope average, density of conduit, population and sediment yields per unit area of each subcatchment. Based on them, PROMETHEE is performed and the relative inundation risk for each subcatchment is estimated. Sensitivity anlysis is conducted to evaluate each factor's effect on subcatchment and it is found that suggested method can be used to establish a practical guide to mitigate the inundation.

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