• Journal of Industrial Convergence
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• v.21 no.1
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• pp.175-185
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• 2023

Recently, novel viral infections such as COVID-19 have spread and pose a serious public health problem. In particular, these diseases have a fatal effect on the elderly, threatening life and causing serious social and economic losses. Accordingly, applications such as telemedicine, healthcare, and disease prevention using the Internet of Things (IoT) and artificial intelligence (AI) have been introduced in many industries to improve disease detection, monitoring, and quarantine performance. However, since existing technologies are not applied quickly and comprehensively to the sudden emergence of infectious diseases, they have not been able to prevent large-scale infection and the nationwide spread of infectious diseases in society. Therefore, in this paper, we try to predict the spread of infection by collecting various infection information with regional limitations through a virus disease information collector and performing AI analysis and severity matching through an AI broker. Finally, through the Korea Centers for Disease Control and Prevention, danger alerts are issued to the elderly, messages are sent to block the spread, and information on evacuation from infected areas is quickly provided. A realistic elderly support system compares the location information of the elderly with the information of the infected area and provides an intuitive danger area (infected area) avoidance function with an augmented reality-based smartphone application. When the elderly visit an infected area is confirmed, quarantine management services are provided automatically. In the future, the proposed system can be used as a method of preventing a crushing accident due to sudden crowd concentration in advance by identifying the location-based user density.

• The Korean Journal of Applied Statistics
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• v.27 no.1
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• pp.89-102
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• 2014

In this study, we analyze the effect on the smoking status in the Seoul Metropolitan area using a multilevel logistic model with Community Health Survey data from the Korea Centers for Disease Control and Prevention. Intraclass correlation coefficient (ICC), profiling analysis and two types of predicted value were used to determine the appropriate multilevel analysis level. Sensitivity, specificity, percentage of correctly classified observations (PCC) and ROC curve evaluated model performance. We showed the applicability for multilevel analysis allowed for the possibility that different factors contribute to within group and between group variability using survey data.

• Korea journal of population studies
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• v.32 no.3
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• pp.1-20
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• 2009

본 연구는 지리정보시스템(GIS)과 지리적 가중 회귀(GWR)를 이용하여 건강 관련 삶의 질(HRQoL)의 사회인구학적 상관요인에 대한 공간분석을 시도한다. 관찰의 독립성과 오차의 동분산성을 가정하는 전통적 회귀분석과 달리, 지리적 가중 회귀분석은 속성정보뿐만 아니라 공간정보를 활용하는 공간분석 기법이다. 분석모형은 건강 관련 삶의 질을 종합적으로 측정하는 EQ-5D를 종속변수로 하고 지역의 사회인구학적 특성인 노령인구비율, 조이혼율, 병상수, 재정자주도를 독립변수로 하여 구성하였다. 종속변수는 질병관리본부에서 실시한 <지역사회건강조사>의 자료를 이용하였고, 독립변수는 통계청 온라인 DB에 수록된 지역별 자료를 이용하였다. 모형을 추정해 본 결과 전반적으로 사회적 특성보다는 노령인구비율이나 조이혼율과 같은 인구학적 특성이 건강 관련 삶의 질에 더 많은 영향을 미치는 것으로 나타났다. 공간적 변이를 고려하는 지역모형은 전역모형에서 드러나지 않았던 중요한 유형을 보여주는데, 노령인구비율 변수와 조이혼율 변수의 지역별 추정치를 지도상으로 살펴본 결과 변수들의 효과가 공간적 위치에 따라 차이를 보인다는 점이 확인되었다. 분석 결과는 또한 지리적 가중 회귀분석이 전통적 회귀분석에 비해 공간적 자기상관의 문제를 극복하고 모형의 부합도를 증가시킨다는 것을 보여준다.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.587-593
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• 2018

The syndromic surveillance system is designed to identify illness clusters before diagnoses are confirmed and reported to public health agencies, to provide rapid public health response, and thereby to reduce morbidity and mortality. Korea Centers for Disease Control and Prevention (KCDC) has implemented the emergency department-based syndromic surveillance system. To design upgraded and enhanced functions of the current syndromic surveillance system in KCDC for the early warning of adverse disease events, we surveyed many papers. This paper describes the operation status of syndromic surveillance system in other countries and the improvement of the syndromic surveillance system in KCDC.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1237-1242
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• 2010

Based on the detailed travel history of cases from 2006 to 2008 who reside in non-malarious areas, statistical estimates of the incubation periods were obtained. The data suggest that cases fall into two categories with short- and long-term incubation periods, respectively. 72 and 25 cases successfully met our criteria for inferring the durations of short- and long-term incubation periods. The mean short- and long-term incubation periods were estimated to be 25.42 days and 328.6 days weeks, respectively.

• Journal of Climate Change Research
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• v.7 no.2
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• pp.205-215
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• 2016

The relationship between the climate and the number of heat-related patients in South Korea was analysed in this study. The number of the patients was 1,612 during the summer 2011 to 2015 according to the Heat-related Illness (HRI) surveillance system. The coefficient of determination between the number of the patients and the daily maximum temperature was higher than that between the number of them and the other elements: the daily mean/minimum temperature and relative humidity. The thresholds of daily maximum and minimum temperature in metropolitan cities (MC) were higher than those in regions except for MC (RMC). The higher the maximum and minimum temperature became, the more frequently the heat-related illness rate was observed. The regional difference of this rate was that the rate in RMC was higher than that in MC. Prolonged heat wave and tropical night tended to cause more patients, which continued for 20 days and 31 days of maximum values, respectively. On the other hand, the relative humidity was not proportional to the number of the patients which was rather decreasing at over 70% of relative humidity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.3
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• pp.634-641
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• 2009

This study conducted to find concordance of hypertension in older couples. For these purposes, the researcher conducted surveys of 297 couples residents in a rural area, Geumsan-gun, Chungcheongnam-do during January and February 2006. Risk factors differed from between couples were smoking, alcohol drinking, triglyceride that were higher in men; stress and LDL higher in women. Wife's risk factors of hypertension related to husband's risk of hypertension were metabolic syndrome (OR=2.879) and current alcohol drinking (OR=1.892). Husband's risk factors of hypertension related to wife's risk of hypertension were age (OR=1.037), Obesity (OR=1.922), metabolic syndrome (OR=4.100), and triglyceride (OR=1.793). Conclusively, important risk factors affecting hypertension of couples living in a rural area were age, metabolic syndrome, and body mass index. It needs to care these factors closely.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.510-516
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• 2020

This study investigated the characteristics and factors affecting inpatient infants, children, and adolescents who experienced falling, using NHDIS data from 2008 through 2017, The study analyzed data of 116 patients who were under 18 and who experienced injuries (KSCD, S00-S99) by falling (KSCD, W00-W19). Frequency analysis, cross-tabulations, and multiple regression analysis were conducted, using SPSS 23. There were more boys than girls, and most of the falls occurred at the ages of over one to under six years old. Most of the children had respiratory diseases, and most had open wounds or bruises due to falling. Also, most of the falls were related to the bed. In the factor analysis, age (β=.318), the main diagnosis (β=.231), and injury (β=.169) except gender affected falling. This suggests that it is necessary to conduct fall prevention education for children, considering the developmental stage characteristics and age group. It is necessary to screen the risk group such as children with a disease with relatively less restriction of activities or with a hyperactive disorder, and to develop a related manual. Hopefully, the results will be used as the basic data for fall prevention education and creating a fall prevention manual according to the characteristics of children's developmental stage for patients who need hospitalization, their caregivers, and the relevant medical team.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.867-876
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• 2013

Metabolic syndrome has been known as a major factor of cardiovascular disease. Several metabolic disorders, particularly chronic disease is complex, and from individuals that appear in our country, the prevalence of the metabolic syndrome is increasing gradually. Therefore, this study, using a multi-factor dimensionality reduction method, checks the major single risk factor of metabolic syndrome and suggests a new diagnosis results of metabolic syndrome. Data of 3990 adults who responded to all the questionnaires of health interview are used from the database of the 5th Korea national health and nutrition examination survey conducted in 2010. As the result, the most dangerous single risk factor for metabolic syndrome was waist circumference and the most dangerous combination factors were waist circumference, triglyceride, and hypertension. This is the result of a new diagnosis of the metabolic syndrome. Especially, waist circumference, low HDL-cholesterol and hypertension were the most dangerous combination for male. In particular, the combination of waist circumference, triglyceride and diabetes was dangerous for obese people.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.51-60
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• 2018

This descriptive research aimed to get the effects of handwashing awareness and practices among 294 students in J middle school, using revised tool developed by Korean CDC(2005). As a result of analyzing data using SPSS/Win 23.0, 42.9% of the subjects experienced common cold within the last 6 months, the scores of handwashing awareness was 3.47 out of 4, and the scores of handwashing practices at home and school was 3.36 and 3.35 each. 39.1% wash hands for 4~6times a day, average handwashing time was 11~15 seconds and 47.0% of the subjects who did not wash their hands due to not having a habit of handwashing. The explanation rate of handwashing awareness on practice was 23.2%, handwashing awareness had a significant effect on practices(p=.001). This study suggests the necessity of strengthening handwashing practices by educating handwashing awareness in order to prevent infectious diseases.