• 한국한의학연구원논문집
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• 제13권1호통권19호
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• pp.29-35
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• 2007

As epidemics were spread over the whole Pyeongan province at 1524, Jungjong commanded the government officers like Kim Sunmong to publish Sokbyeokonbang, known as Ganuibyeokonbang, to cope with the epidemics. They regarded the cause of epidemics as abnormal climate, pathogen or grudge, and named the disease on the basis of cause. To prevent epidemics they presented three kinds of method. They used a charm to calm the people, used Sohaphyangwon to keep from getting infected with them and emphasized the importance of individaul sanitation. They proposed compound herb remedies like Sipsintang, Hyangsosan, Seungmagalgeuntang and so forth according to the symptoms. They presented lots of single herbs used for food or easily seeking herbs to lighten the people's expense, in addition.

• Clinical and Experimental Pediatrics
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• 제58권5호
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• pp.172-177
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• 2015

Purpose: Mycoplasma pneumoniae (MP) pneumonia epidemics have occurred in 3- to 4-year cycles in Korea. We evaluated the epidemiologic characteristics of MP pneumonia in Daejeon, Korea, from 2003 to 2012. Methods: We retrospectively analyzed 779 medical records of children (0-15 years of old) with MP pneumonia admitted to our institution and compared the data from 3 recent epidemics. Results: In 779 patients, the mean age and male-to-female ratio were $5.0{\pm}2.2$ years and 1:1, and most cases were observed in autumn. There were three epidemics during the study period, in 2003, 2006-2007, and 2011. In our comparison of the three epidemics, we found no differences in mean age, the male-to-female ratio, hospital stay, or the rate of seroconverters during hospitalization. All three epidemics began in early summer and peaked in September 2003 and 2011 and in October 2006 and then gradually decreased until the next year's spring season, although the 2006 epidemic extended further into 2007. The peak age groups in the children in 2003 and 2006 were 3-6 year-olds (57.5% and 56%, respectively), but in the 2011 epidemic, the peak group was 1-4 year-olds (46.5%). The proportion of the <2 years of age group was 20%, 15.7% and 28.8%, and >10 years of age group was 5.2%, 13.8%, and 14.8% of total patients, respectively. Conclusion: MP pneumonia outbreaks occurred every 3-4 years. The pattern of 3 recent epidemics was similar in demographic characteristics and seasonality with some variations in each outbreak.

• 한국한의학연구원논문집
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• 제13권3호
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• pp.39-43
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• 2007

The history of medicine has a strong correlation to the ancient development of epidemics. Although the study of the history of East Asian Traditional Medicine does not put much emphasis in understanding the flow of medical history in relation to epidemics, it largely impacted the development of this epidemic and the compilation and evolution of treatment methods. The same was true for Korea as they linked development of epidemics, unusual natural conditions, and social phenomenons from ancient documents. This study methodically classifies the epidemics mentioned in ${\ulcorner}$三國史記${\lrcorner}$ and concludes on how ancient Koreans understood epidemics.

• 대한예방한의학회지
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• 제12권2호
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• pp.145-157
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• 2008

There were many books on infectious disease prevention act, and still remained 5 books including Ganuibyeokonbang. Epidemics were seriously ill and widely contagious, so it was important to prevent them. Therefore, they wrote various preventive measures from epidemics on those books. They emphasized medication, and used not only compound prescriptions but also singular ones. They wrote 5 compound prescriptions including Sohaphyangwon and many singular ones on Ganuibyeokonbang, and they used folk medicine such as red-beans준 for practical use on that book. On Sinchanbyeokonbang, they emphasized Hyangsosan and presented many prescriptions to specialize in epidemics. Heojun presented various prescriptions for Dangdokyeok on Byeokyeoksinbang, and he excluded incantation methods to cope with epidemics medically. Since Ganuibyeokonbang they had tried to improve personal hygiene such as boiling clothes of patients.

• 한국기후변화학회지
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• 제9권2호
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• pp.133-142
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• 2018

Climate change will affect not only the crop productivity but also the pattern of rice disease epidemics in Korea. Impact assessments for the climate change are conducted using various climate change scenarios from many global climate models (GCM), such as a scenario from a best GCM or scenarios from multiple GCMs, or a combination of both. Here, we evaluated the feasibility of using a climate change scenario from the best GCM for the impact assessment on the potential epidemics of a rice leaf blast disease in Korea, in comparison to a multi?model ensemble (MME) scenario from multiple GCMs. For this, this study involves analyses of disease simulation using an epidemiological model, EPIRICE?LB, which was validated for Korean rice paddy fields. We then assessed likely changes in disease epidemics using the best GCM selected for individual agro?climatic zones and MME scenarios constructed by running 11 GCMs. As a result, the simulated incidence of leaf blast epidemics gradually decreased over the future periods both from the best GCM and MME. The results from this study emphasized that the best GCM selection approach resulted in comparable performance to the MME approach for the climate change impact assessment on rice leaf blast epidemic in Korea.

• 식물병연구
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• 제8권4호
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• pp.199-206
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• 2002

벼 도열병 발병 모의 실황 포장을 발병 상습지(안동대 실험포장; 산간 협곡 위치한 천수답)에 설정하여 벼 식물생육군락(일품벼 공시)의 실황 기상자료를 무인기상관측 장치를 통해 수집, 가공하여 도열병 발병에 미치는 기상요인의 가변값을 추정, 분석하였다. 기상요소 측정은 시험포장에 무인기상관측장치를 설치하여 매시단위로 기온, 상대습도, 일사량, 강우량, 풍향, 풍속, 지온, 잎습전지속 시간 등을 측정하였다. 각 기상요인중 도열병 발병에 가장 많은 영향을 미친 것은 발병 전 10일간 평균최고기온으로 결정계수 0.95＊을 나타냈으며, 도열병 발병에 영향을 가장 미치지 않은 요인은 풍속으로 결정계수 0.24$^{ns}$ 로 나타났다. 도열병 발병과 병 진전에 가장 높은 유의성을 보인 기상요인은 평균온도(T-ave), 최고온도(T-max), 상대습도(RH), 상대습도 90%이상인 누적시간(RD) 등이었으며, 이들을 이용한 통계적 모형은 아래와 같다. Y = -3410.91 - 23.91 $\times$ T-ave ＋ 28.56 $\times$ T-max ＋ 41.0 $\times$ RH - 3.75 $\times$ RD, ($R^2$= 0.99＊), (T-ave >= 19$^{\circ}C$ and T-max - T-ave >= 5.2$^{\circ}C$ and RH% >= 90.4%. 발병모형과 발병심각도의 적합도 검정($\chi$$^2$)은 유의도 0.001로 발병모형이 실제 발병 심각도와 유사함을 나타내었다.

• Journal of the Korean Data and Information Science Society
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• 제27권4호
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• pp.1075-1081
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• 2016

The big data analysis has received much attention from the researchers working in various fields because the big data has a great potential in detecting or predicting future events such as epidemic outbreaks and changes in stock prices. Reflecting the current popularity of big data analysis, many authors have proposed methods tracking influenza epidemics based on internet-based information. The recently proposed 'autoregressive model using Google (ARGO) model' (Yang et al., 2015) is one of those influenza tracking models that harness search queries from Google as well as the reports from the Centers for Disease Control (CDC), and appears to outperform the existing method such as 'Google Flu Trends (GFT)'. Although the ARGO predicts well the outbreaks of influenza, this study demonstrates that a classical seasonal autoregressive integrated moving average (SARIMA) model can outperform the ARGO. The SARIMA model incorporates more accurate seasonality of the past influenza activities and takes less input variables into account. Our findings show that the SARIMA model is a functional tool for monitoring influenza epidemics.

• Clinical and Experimental Pediatrics
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• 제53권5호
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• pp.623-628
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• 2010

The mumps virus is a single-stranded, non-segmented, negative-sense RNA virus belonging to the $Paramyxoviridae$ family. Mumps is characterized by bilateral or unilateral swelling of the parotid gland. Aseptic meningitis is a common complication, and orchitis is also common in adolescents and adult men. Diagnosis is based on clinical findings, but because of high vaccination coverage, clinical findings alone are not sufficient for diagnosis, and laboratory confirmation is needed. Mumps is preventable by vaccination, but despite high vaccination coverage, epidemics occur in several countries, including Korea. Many hypotheses are suggested for these phenomena. In this review, we investigate the reason for the epidemics, optimal methods of diagnosis, and surveillance of immunization status for the prevention of future epidemics.

• 대한수학회보
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• 제47권6호
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• pp.1131-1138
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• 2010

In the present paper, we evaluate an analytic formula as a solution of Susceptible Infective (SI) model problem for communicable disease in which the daily contact rate (C(N)) is supposed to be varied linearly with population size N(t) that is large so that it is considered as a continuous variable of time t. Again, we introduce some Lie group of operators to make an extension of above analytic formula of the determin-istic epidemics model problem. Finally, we discuss some of its particular cases.

• 한국시뮬레이션학회논문지
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• 제23권4호
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• pp.31-39
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• 2014

계절적 유행성 독감은 매년 전 세계적으로 300만-500만 명이 감염되어 25만-50만 명이 사망에 이르는 무서운 질병이다. 유행성 독감에 대한 통제를 강화하기 위해 독감의 유행을 실시간으로 감시하기 위한 연구들이 제안되고 있다. 우리나라의 질병관리본부는(CDC)는 인플루엔자에 대한 임상 자료를 1주 단위로 발표하고 있으며 질병의 유행과 1-2주 정도의 보고 시차가 존재한다. 조기에 독감의 유행을 감지하기 위해 비임상적 자료(뉴스 리포트, 소셜 미디어)의 검색 정보를 활용하여 유행성 독감 발생을 효과적으로 대비하기 위한 연구들이 최근 이루어지고 있다. 비임상적 자료의 수집은 적은 비용으로 거의 실시간으로 이루어질 수 있는 이점이 있다. 본 연구는 네이버 검색엔진이 제공하는 PC와 모바일 키워드 정보를 활용하여 우리나라의 유행성 독감 활동을 감지하는 회귀모형을 개발하고자 한다. 이를 위해 문헌연구를 통하여 인플루엔자 의사분율(ILI)과 높은 상관성을 가질 것으로 예상되는 키워드를 20개 선정하고 키워드와 ILI와의 관계를 로지스틱 회귀모형과 다중회귀모형으로 가정하고 ILI를 예측하였다. 모형적합성 측면에서 다중회귀모형이 로지스틱모형보다 우수하였으며 모바일-기반 회귀모형이 PC-기반 회귀모형보다 ILI 퍼센티지를 추정하는데 우월한 결과를 보이고 있다.