• 보건교육건강증진학회지
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• 제30권1호
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• pp.65-81
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• 2013

Objectives: The present study was carried out to develop and evaluate comprehensive health care program to prevent infectious disease and promote health in child-care centers by Doctor of Korean medicine. Methods: A nonequivalent control group pretest-posttest design study was conducted on 568 children and 85 child care teacher at 12 child care facilities for 12 weeks from July to October 2012. The program was consist of management, education, screening under concepts of traditional preventive medicine, Yangsaeng and Chimibyeong. Children's medical utilization due to infectious disease and attendance means functional status were measured by reports from parents. The Difference in difference(DID) estimator was applied data analysis, and added Zero-inflated negative binomial regression model. Also, attitudes on the infection of teacher was measured and analyzed through t-test. Results: After the intervention, the total medical utilization due to infectious disease decreased, but not significantly. Total absence, early leave and lateness decreased significantly. But, Attitude on the infection of child care teacher was not changed. The parent's satisfaction showed positive overall. Conclusions: The intervention program may be effective in preventing infectious disease and managing health in child-care center partially. To measure long-term effect, long-term study improved is requested.

• 대한교통학회지
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• 제26권4호
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• pp.29-40
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• 2008

우리나라는 건설교통부에서 규정하는 지침에 의거하여 도로를 설계하는데 안전한 도로의 건설을 위해서는 사고와 연관된 기하구조요인의 정확한 이해와 분석을 통해 도로의 설계자가 도로 설계과정에 반영하도록 하고 있다. 따라서 본 연구의 목적은 고속도로 인터체인지에서 발생하는 교통사고를 실제로 수집이 가능한 도로기하구조 및 교통여건에 관한 자료만을 이용하여 신뢰성있게 분석할 수 있는 모형으로 정립하는데 있다. 본 연구에서는 고속도로상의 총 129개 트럼펫인터체인지와 35개 클로버인터체인지 상에서 연결로 형식별로 발생한 교통사고를 이용하여 다양한 교통사고요인들의 관계를 분석하기 위해 교통사고발생분포를 통계학적 방법을 통하여 분석한 바, 음이항분포가 가장 적합한 것으로 확인되었다. 따라서 트럼펫인터체인지의 연결로 형식별, 그리고 클로버인터체인지의 연결로 형식별로 교통사고를 분석할 수 있는 음이항회귀모형을 개발하였다. 본 모형은 고속도로를 계획 및 설계하는 초기단계에서 인터체인지의 유형과 인터체인지 연결로의 유형을 결정하는데 활용할 목적으로 개발되었으며, 본 모형의 적합성을 판단하는 여러 가지 통계학적 값들과 모형을 통해 예측한 값들, 그리고 실제로 현장에서 관측한 값들의 차이를 분석한 바 본 논문에서 구축한 모형이 이론적 및 실용적 측면에서 적합하게 구축되었음을 확인하였다.

• Genomics & Informatics
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• 제19권1호
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• Journal of Preventive Medicine and Public Health
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• 제52권5호
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• pp.308-315
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• 2019

Objectives: Estimating influenza-associated mortality is important since seasonal influenza affects persons of all ages, causing severe illness or death. This study aimed to estimate influenza-associated mortality, considering both periodic changes and age-specific mortality by influenza subtypes. Methods: Using the Microdata Integrated Service from Statistics Korea, we collected weekly mortality data including cause of death. Laboratory surveillance data of respiratory viruses from 2009 to 2016 were obtained from the Korea Centers for Disease Control and Prevention. After adjusting for the annual age-specific population size, we used a negative binomial regression model by age group and influenza subtype. Results: Overall, 1 859 890 deaths were observed and the average rate of influenza virus positivity was 14.7% (standard deviation [SD], 5.8), with the following subtype distribution: A(H1N1), 5.0% (SD, 5.8); A(H3N2), 4.4% (SD, 3.4); and B, 5.3% (SD, 3.7). As a result, among individuals under 65 years old, 6774 (0.51%) all-cause deaths, 2521 (3.05%) respiratory or circulatory deaths, and 1048 (18.23%) influenza or pneumonia deaths were estimated. Among those 65 years of age or older, 30 414 (2.27%) all-cause deaths, 16 411 (3.42%) respiratory or circulatory deaths, and 4906 (6.87%) influenza or pneumonia deaths were estimated. Influenza A(H3N2) virus was the major contributor to influenza-associated all-cause and respiratory or circulatory deaths in both age groups. However, influenza A(H1N1) virus-associated influenza or pneumonia deaths were more common in those under 65 years old. Conclusions: Influenza-associated mortality was substantial during this period, especially in the elderly. By subtype, influenza A(H3N2) virus made the largest contribution to influenza-associated mortality.

• Safety and Health at Work
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• 제12권2호
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• pp.225-229
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• 2021

Background: The socioeconomic burden of musculoskeletal disorders (MSDs) is significant, and kitchen work is a high-risk occupation for MSDs due to the intensive manual workload and repetitive movements that are involved. However, there are very few studies on MSDs and rest breaks as a workplace intervention among kitchen workers. This study examined the relationship between insufficient rest breaks and increased MSD risk among Korean kitchen workers. Methods: Sociodemographic and occupational factors of 1,909 kitchen workers were collected from the 3rd-4th Korean Working Conditions Survey data. Five items on rest breaks at work were categorized into two groups, "sufficient" and "insufficient." The number of MSDs and work-related MSDs (WMSDs), an outcome variable, was obtained from the sum of MSDs/WMSDs in three anatomical sites (back, neck, and upper limb, lower limb). The association between rest breaks and MSDs was estimated using zeroinflated negative binomial analyses, with adjustments for age, education level, and weekly working hours, and the analyses were stratified by sex. Results: After adjustment, significant associations were found between insufficient rest breaks and an increased risk of MSDs (odds ratio [OR] 1.68 95% confidence interval [CI] 1.11-2.54) and WMSDs (OR 1.40 95% CI 1.01-1.96) among female kitchen workers. Insufficient rest breaks were significantly associated with MSDs in female kitchen workers in all three anatomical sites. Conclusion: This study emphasizes the need for rest breaks as a workplace intervention for preventing MSDs in kitchen workers. Further studies to reveal the causality of this relationship are required.

• 무역학회지
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• 제44권2호
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• pp.109-126
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• 2019

Import refusals can be considered a new method of non-tariff barriers. This study aims to analyze reputation spillover effects on fish and fishery products imported from ASEAN countries to the U.S. FDA. The supply of aquatic products is not stable due to various factors such as reduction of fish stocks and climate change. Fish is a basic food ingested directly, but there are many ways to control the safety of aquatic products. ASEAN countries account for about 20% of U.S.imports in fish and fishery products. For Southeast Asian countries, fish and fishery products comprise a high proportion of exports revenue. Despite the large share of exports to the U.S., Southeast Asia countries have been receiving many import refusals from the United States. In this study, a theoretical model for examining import refusals is suggested using the negative binomial counting process. The reputation spillover effect, was divided into two spillover effects of 'neighbor reputation' and 'sector reputation'. Results show that there exists a neighbor reputation spillover effect. It can be said if there was a import refusal of the same product from neighboring countries in the preceding year, the home country have a possibility to experience import refusals of the same product. Therefore, it is interpreted that neighboring countries have good standard compliance can help home countries to effectively reach the target markets. Our findings have a important policy implication for ASEAN exporters of fish and fishery products.

• 트랜스-
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• 제10권
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• pp.31-50
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• 2021

미디어의 수용자는 포괄적인 미디어 환경과의 복잡한 관계 속에서 규정되며, 미디어 환경의 변화에 따라 구성 및 재구성된다. 오늘날 컨버전스나 트랜스미디어 등으로 대변되는 미디어 환경의 변화와 함께 수용자에 관한 논의도 활발히 전개되고 있으며, 그 문화정치적 성격에 대한 긍정적 견해와 부정적 견해 간의 논쟁이 계속되고 있다. 본 논문에서는 이항 대립적인 논쟁을 넘어서 새로운 수용자의 복잡성과 양가성을 체계적으로 살펴보고, 그 진보적 가능성이 발현될 수 있는 조건과 기제를 파악하고자 한다. 먼저 오늘날 미디어 환경과 콘텐츠의 변화를 살펴보고 이와 맞물려 있는 수용자의 변화 양상을 관련 연구를 바탕으로 살펴본다. 그리고 새로운 수용자의 문화 정치적 성격에 대한 논쟁을 살펴보고, 자크 랑시에르의 관객의 해방에 관한 논의를 바탕으로 대안적 수용자를 재구성할 방안을 모색해본다. 이를 통해 트랜스미디어 수용자의 유토피아적 계기와 디스토피아적 계기의 성격과 내용을 파악하고 전자를 현실화하기 위해 필요한 사항들을 확인하였다.

• Clinical and Experimental Reproductive Medicine
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• 제48권2호
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• pp.163-173
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• 2021

Objective: This study aimed to characterize a validated model for predicting oocyte retrieval in controlled ovarian stimulation (COS) and to construct model-based nomograms for assistance in clinical decision-making regarding the gonadotropin protocol and dose. Methods: This observational, retrospective, cohort study included 636 women with primary unexplained infertility and a normal menstrual cycle who were attempting assisted reproductive therapy for the first time. The enrolled women were split into an index group (n=497) for model building and a validation group (n=139). The primary outcome was absolute oocyte count. The dose-response relationship was tested using modified Poisson, negative binomial, hybrid Poisson-E_max, and linear models. The validation group was similarly analyzed, and its results were compared to that of the index group. Results: The Poisson model with the log-link function demonstrated superior predictive performance and precision (Akaike information criterion, 2,704; λ=8.27; relative standard error (λ)=2.02%). The covariate analysis included women's age (p<0.001), antral follicle count (p<0.001), basal follicle-stimulating hormone level (p<0.001), gonadotropin dose (p=0.042), and protocol type (p=0.002 and p<0.001 for short and antagonist protocols, respectively). The estimates from 500 bootstrap samples were close to those of the original model. The validation group showed model assessment metrics comparable to the index model. Based on the fitted model, a static nomogram was built to improve visualization. In addition, a dynamic electronic tool was created for convenience of use. Conclusion: Based on our validated model, nomograms were constructed to help clinicians individualize the stimulation protocol and gonadotropin doses in COS cycles.

• 보건행정학회지
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• 제31권1호
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• pp.46-55
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• 2021

Background: Patients with the chronic physical illness are more likely to experience depression, and the accompany of chronic physical illness and depression is particularly high in middle-aged and elderly women. Considering that depression is associated with somatization and the decline of therapeutic compliance when accompanied by chronic physical illness, middle-aged and elderly women who experience depression among chronic physical illness may increase their use of medical services. This study is to identify the effect of depression on the use of medical services, especially among middle-aged and elderly women with chronic physical illness. Methods: This study used the 2016 Korean Health Panel. For analysis, it used T-test, negative binomial regression, and multivariate regression combining propensity score matching. Results: First, depressive groups had a higher number of medical service utilization and total medical expenditure than the non-depressive group. Second, depression significantly increased medical service utilization (β=0.17, p=0.04) at the 5% significance level. Also, depression significantly increased total medical expenditure (β=0.37, p=0.08) at the 10% significance level. Conclusion: For those who have chronic physical illness among middle-aged and elderly women, the experience of depression was confirmed to be a factor affecting the use of medical services. In the end, it is important to come up with policy countermeasures for middle-aged and elderly women accompanied by depression and chronic physical illness.

• 한국임상약학회지
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• 제31권4호
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• pp.268-277
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• 2021

Background: Most antipsychotic drugs studies have been mainly conducted on side effects, randomized clinical trials, utilization rates, and trends. But there have been few studies on the influencing factors in elderly patients. The purpose of this study was to analyze the influencing factors on the outpatient prescription of antipsychotic drugs in the elderly patients. Methods: Active ingredients of antipsychotic drugs in Korea were selected according to the Korean Pharmaceutical Information Center (KPIC)'s classification. Data source was Korean Health Insurance Review and Assessment Service (HIRA) claims data in 2020 and target patient group was the elderly patient group. We extracted patients who have been prescribed one or more antipsychotic drugs and visited only one medical institution. Data were analyzed using descriptive statistics, chi-square, t-test, negative binomial regression. Results: A number of outpatients were 245,197 and prescriptions were 1,379,092. Most characteristics of patients were 75-85 year's old, female, health insurance type, no disease (dementia, schizophrenia), atypical drugs, cci score (>2) and characteristics of medical institution were neurology in specialty, rural region, general hospitals. Results of regression showed that patient's characteristics and medical center characteristics had significant effect on the outpatient prescription of antipsychotic drugs in the elderly patients. Conclusion: This study suggests that national policy of antipsychotic drugs in the elderly patients, with the consideration of the patients' and medical institutions' characteristics, is needed.