• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.449-455
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• 2023

The purpose of this study is to explore adolescent depression, increase understanding of social problems, and develop prevention and intervention strategies. As a research method, social big data was used to collect information related to 'youth depression', and related factors were identified through data mining and analysis of related rules. We used 'Sometrend Biz Tool' to collect and clean data from the web and then analyzed data in various languages. The study found that online articles about depression decreased during the school holidays (January to March), then increased from March to the end of June, and then decreased again from July. Therefore, it is important to establish a government-wide depression management monitoring system that can detect risk signs of adolescent depression in real time. In addition, regular stress relief and mental health education are needed during the semester, and measures must be prepared to deal with at-risk youth who share their depressed feelings in cyberspace. Results from these studies can be expected to provide important information in investigating and preventing youth depression and to contribute to policy development and intervention.

• Nonlinear Functional Analysis and Applications
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• v.29 no.3
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• pp.711-738
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• 2024

This study develops an optimal control strategy for canine rabies transmission using a two-dimensional spatiotemporal model with spatial dynamics. Our objective is to minimize the number of infected and exposed individuals while reducing vaccination costs. We rigorously establish the existence of optimal control and provide a detailed characterization. Numerical simulations show that early intervention, in particular timely vaccination at the onset of an outbreak, effectively controls the disease. Our model highlights the importance of spatial factors in rabies spread and underlines the need for proactive vaccination campaigns, providing valuable insights for public health policy and intervention strategies.

• Health Policy and Management
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• v.25 no.2
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• pp.80-89
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• 2015

Background: This study aims to identify the monthly average medical expenses of public pension recipients, and analyze the determinants of total health and medical expenses and Western and Oriental medicine expenses, medical service expenses, and medical supplies expenses. Methods: This study used the fifth year data of 2013 out of the raw data of the Korean Retirement and Income Study collected by the National Pension Research Institute. This study conducted t-test, analysis of variance, and linear regression to verify publicly the relevance between pension recipients' general characteristics and health and medical expenses status using IBM SPSS ver. 21.0 for data analysis. Results: It was analyzed that there is a difference in the spending of expenditure and health care costs according to public pension recipients. Medical expenses of the national pensioners was higher compared to the special corporate pensioners. The national pensioner is related expenditure size, education level, family members living together, residential areas, status of spouse, number of chronic illness, and status of limitation in daily life with psychological health status. Conclusion: Therefore, fairness does not occur fire to the medical use between the special corporate pensioners and national pensioners, aggressive of government such as health policy and financial support for the retiree pension policy that reflects the reality intervention would be required.

• The Journal of Health Technology Assessment
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• v.6 no.2
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• pp.95-99
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• 2018

As technologies develop, the digital health sector is gradually expanding. Internationally, the global summit for Digital Health named Global Digital Health Partnership (GDHP) was launched in 2018. Many countries are participating in GDHP and share their policy experiences on digital health and find the ways to cooperate with participating countries (13 countries, including South Korea, and Hong Kong). This article reviewed the international trends in digital health policy environment and evidence assessment focusing on GDHP activities, and derived implications for health technology assessment of digital health. Consequently, to assess the intervention effects of digital health is very complex and the assessment should be considered multidimensional aspects (social, clinical, and technical). In addition the patient experience should be assessed qualitatively. Health technology assessment (HTA) should assess the effect of digital health policies to changes in health care systems resulting from the application of advanced technologies related to the 4th Industrial Revolution. Digital health is also related to new HTA, HTA of existing technologies, and R&D on the promising health technology. Therefore, it is necessary to review the trends of the technology's management policy consistently through the HTA of digital health.

• Journal of the Korean Geographical Society
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• v.45 no.1
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• pp.26-48
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• 2010

The current government tries to pursue a series of energy plans and strategies which have been recently established under the banner of 'green growth'. Although there have been several critical comments on the energy policy, the structural background under which the energy policy has been established and implemented has not yet been scrutinized. This paper understands the current government's strategy for 'green growth' and energy policy as a process of neoliberalization. In particular, the energy policy is characterized as industrialization, marketization, technologization, and financialization of energy, which bring about a lot of detailed issues. This kind of 'green growth' strategy is far from the model of sustainable development, and rather seems to be well interpreted in terms of what Harvey calls 'accumulation by dispossession'. As the government's strategy for 'green growth' and energy policy denies the roll of citizens and civil society which would mediate and arbitrate the contradiction between environment preservation and economic growth, and conflicts between market mechanism and state intervention, so alternatives to the 'green growth' strategy should be orientated to a citizen-participating and civil society-led energy policy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.3D
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• pp.469-476
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• 2011

The purposes of research is to understand the need of and the effectiveness of multilevel model to evaluate community support program in watershed areas. If the properties of policy target have hierarchical characteristics, the multilevel analysis is an adequate method to evaluate and test the effectiveness of policy. Also, the technique of multilevel modeling is extended to testing the relevance between performance appraisal and policy effectiveness. The case study of watershed region's community support program was estimated using satisfaction and economic aid level of policy target. This research has three results. First, the multilevel analysis should be used in nested data structure to estimate the effect of policy intervention. Second, the indexes of multilevel modeling should be used complementally to that of the traditional index approach. Third, the spatial hierarchical structure should be considered as the hierarchical structure in policy evaluation.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5531-5536
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• 2015

Background: Increased pricing of cigarettes might be one of the most effective approaches for reducing the prevalence of smoking. This study aimed to investigate the effects of increasing cigarette prices through taxation by a tobacco intervention policy on the changes in smoking prevalence in Korean university students. Materials and Methods: The participants in this study were 23,047 healthy university students aged 18-29 years from a health examination in 2011-2015. We investigated the adjusted prevalence of daily and occasional smoking before and after increasing cigarette prices through taxation. Results: The prevalence of occasional smoking was significantly decreased in 2015 from 2014 in both male (from 10.7% in 2014 to 5.4%) and female (from 3.6% to 1.1%) students, but the prevalence of daily smoking did not decrease significantly. The frequency of individuals who had attempted smoking cessation during the past year was significantly higher among occasional smokers in male students (90.2%) compared with daily smokers (64.9%). For female students, there were no differences in experience of smoking cessation, willingness for smoking cessation, or E-cigarette experience between daily and occasional smokers. Conclusions: We found that a policy of increasing cigarette prices through taxation is associated with decreases in the prevalence of occasional smokers, who have relatively lower nicotine dependence compared with individuals who smoke daily. The results of our study suggest that social support and direct intervention for smoking cessation at the community level are needed for university students alongside the pricing policy.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.2
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• pp.270-279
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• 2022

In this paper, system dynamics considering dynamics and time was examined to study the changes in system structure according to reinforcement (policy intervention) of regulation and punishment for fishing boats, and the strategizing directions were analyzed. Until now, regulations and punishments on fishing boats have been conducted temporarily and short-term as a precautionary measure to prevent accidents and imposed penalties. However, due to various anomalous side effects, the expected results were not achieved, negligent accidents occurred constantly, and follow-up measures were repeated. Resultantly, the regulation and punishment of fishing boats is a reinforced safety standard, and there is a necessity to improve facilities, equipment, and industry, and develop technology (including time delay) to prevent accidents. However, as the negative (illegal) activities continue without immediate and significant resistance, the safety blind spot for accident prevention cannot be minimized. Thus, policy intervention based on linear thinking without sufficiently considering variables of the dynamic mechanism and time can distort the basic values pursued by the policy. For the regulation and punishment of fishing boats, a strategy to supplement the mechanism should be prepared prior to the preparation of reinforced safety standards. Improvement and development of related technologies, mandatory training hours for anglers, fishing industry, and related organizations, proposal of specific action plan for Fishing Management and Promotion Act for growing fishing-related industries.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.365-374
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• 2013

This study was performed to find out the knowledge and attitude of smoking, and smoking cessation recommendation among nursing students. The data were collected from 529 nursing students being at three colleges in Gwangju city through structured questionnaire from 1 to 30 October 2012. In results, the smoking cessation recommendation showed statistically significant differences in grading, residence, subjective health perception, recognition about smoking, present smoking, assessment experience of smoking history, experience of smoking cessation recommendations, and participation intention of smoking cessation intervention education. The smoking cessation recommendation had correlated with smoking knowledge and smoking attitude. In multiple regression analysis, the participation intention of smoking cessation intervention education, the attitude and knowledge of smoking, and experience of smoking cessation recommendation were significant factors of the smoking cessation recommendation explaining 15.5% of the variables. To enhance recommendations of smoking cessation for patients, there are necessary to enforce smoking cessation intervention program for nursing students and increase the experience of smoking cessation intervention recommendation of nursing students in clinical practice.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.33-43
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• 2016

The purpose of this study was using a meta-analysis to estimate effect size of school violence prevention program. Using an objective and systematic method, meta-analysis has advantages that prove intervention's amount and direction. Meta-analysis facilitates comprehensive analysis. Through the data collection, 33studies were selected and 129 effect size were calculated as analysis objects. The overall effect size of school violence prevention program was 0.624. In the human characteristic, the affective domain had the largest effect size. Next were the physical domain, cognitive domain, the social domain and the complex domain. Analysis on age of participant, high grade elementary students group had the largest effect size. Next were the high school students, middle school students and the lower grade elementary students group. Analysis on intervention periods, tertiary prevention had a largest effect size. Next were secondary prevention and primary prevention. Based on the findings, implications for future study were discussed.