• 제목/요약/키워드: social transmission epidemic

검색결과 6건 처리시간 0.021초

도축장 출하차량 이동의 사회연결망 특성 분석 (Properties of a Social Network Topology of Livestock Movements to Slaughterhouse in Korea)

  • 박혁;배선학;박선일
    • 한국임상수의학회지
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    • 제33권5호
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    • pp.278-285
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    • 2016
  • Epidemiological studies have shown the association between transportation of live animals and the potential transmission of infectious disease between premises. This finding was also observed in the 2014-2015 foot-and-mouth disease (FMD) outbreak in Korea. Furthermore, slaughterhouses played a key role in the global spread of the FMD virus during the epidemic. In this context, in-depth knowledge of the structure of direct and indirect contact between slaughterhouses is paramount for understanding the dynamics of FMD transmission. But the social network structure of vehicle movements to slaughterhouses in Korea remains unclear. Hence, the aim of this study was to configure a social network topology of vehicle movements between slaughterhouses for a better understanding of how they are potentially connected, and to explore whether FMD outbreaks can be explained by the network properties constructed in the study. We created five monthly directed networks based on the frequency and chronology of on- and off-slaughterhouse vehicle movements. For the monthly network, a node represented a slaughterhouse, and an edge (or link) denoted vehicle movement between two slaughterhouses. Movement data were retrieved from the national Korean Animal Health Integrated System (KAHIS) database, which tracks the routes of individual vehicle movements using a global positioning system (GPS). Electronic registration of livestock movements has been a mandatory requirement since 2013 to ensure traceability of such movements. For each of the five studied networks, the network structures were characterized by small-world properties, with a short mean distance, a high clustering coefficient, and a short diameter. In addition, a strongly connected component was observed in each of the created networks, and this giant component included 94.4% to 100% of all network nodes. The characteristic hub-and-spoke type of structure was not identified. Such a structural vulnerability in the network suggests that once an infectious disease (such as FMD) is introduced in a random slaughterhouse within the cohesive component, it can spread to every other slaughterhouse in the component. From an epidemiological perspective, for disease management, empirically derived small-world networks could inform decision-makers on the higher potential for a large FMD epidemic within the livestock industry, and could provide insights into the rapid-transmission dynamics of the disease across long distances, despite a standstill of animal movements during the epidemic, given a single incursion of infection in any slaughterhouse in the country.

광우병과 크로이츠펠트 야콥병의 사회안전위협에 대한 안전대책 (Social Safty Measures against Creutzfedt-jakob's and Mad Cow Disease)

  • 김두현;김정현
    • 시큐리티연구
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    • 제4호
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    • pp.29-46
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    • 2001
  • This research is based on the protection of the social safty with the preventive measures against Creutzfedt-jakob's and Mad cow Disease which has been drawn an attention of the public. It also has Known as an epidemic with rapid transmission an severe conteminaton to hurt the health through beef. In this work, some fruitful suggestions have been made to prevent and to minimize the harms Creutzfedt-jakob's and Mad Cow Disease : 1) We should Pay attention to the prior preventive measures by detecting the modes and the causes of the contemination lute route ; 2) there should be a step to inoculate the cattles to provide non-conteminated fresh feed for cows ; and 3) a health official should be alert to prevent the rapid transmission to the public by breaking the infected route of it.

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INTERVENTION STRATEGY FOR REDUCING ADOLESCENT SMOKING

  • BYUL NIM KIM;CHUNYOUNG OH
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제27권4호
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    • pp.281-295
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    • 2023
  • This study aims to establish and analyze a mathematical model for the transmission dynamics of male adolescent smoking and to determine an optimal control strategy to reduce male adolescent smoking. We consider three groups in the population: smokers, non-smokers, and temporary nonsmokers. In our model to which optimal control theory was applied, the number of smokers decreased sharply and the number of non-smokers increased significantly. Our simulation results under various control scenarios reveal that integrated control measures(such as prevention, education, and treatment) may be necessary to reduce the growth rate of adolescent smoking. Moreover, we concluded that efforts to encourage current smokers and temporary quitters to quit should be sustained longer than efforts to reduce the rate at which nonsmokers become smokers through smoking prevention education.

부산 및 울산지역 일부 대학생들의 에이즈에 대한 지식과 태도 조사 (College Students Knowledge and Attitudes Toward AIDS in Pusan and Ulsan Areas)

  • 신영희;홍영혜
    • 대한간호학회지
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    • 제26권1호
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    • pp.33-42
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    • 1996
  • Given the global impact of the AIDS pandemic, it is necessary to take every measure to prevent an epidemic of this disease in Korea. The only available strategy is prevention. Considering college students as a potential risk group, this study examined their knowledge of, and attitudes toward AIDS. In this study, 399 students from three colleges in Pusan and Uoolsan were examined for their attitudes to, and knowledge of AIDS. Findings indicate that the majority of the students(90%) had basic knowledge on the transmission and the prevention of the disease. However, most of them, including nursing students, lacked knowledge as to the etiological agent, major symptoms and available diagnostic techniques. To the questions designed to examine social attitude towards AIDS patients, the students showed a tendency to view AIDS patients as responsible for their own illness. Interestingly, they showed sympathy to their imaginary friends and relatives suffering from AIDS. The study findings suggest a need for the development of AIDS educational programs for college students.

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감염병의 사람 간 전파의 주요 수단인 사회적 접촉 연구에 관한 체계적 문헌 고찰 (Systemic Review of Social Contacts of Person to Person Spread of Infections)

  • 오향순
    • 한국산학기술학회논문지
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    • 제21권2호
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    • pp.85-93
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    • 2020
  • 현대 의학의 눈부신 발전에도 불구하고 감염병의 유행 발생과 전파는 지속적으로 인류를 위협하고 있으며, 이러한 감염병의 사람 간 전파는 사회적 접촉에 의한다. 그러나 사회적 접촉에 관한 국내 연구는 초기 단계다. 본 연구에서는 체계적 문헌 고찰을 통해서 각국의 사회적 접촉의 실태를 파악하여 국내 연구를 위한 기초자료를 제공하고자 한다. 문헌 선정기준은 2000년 이후부터 2017년 12월까지 영어로 발표된 전국적인 규모의 사회적 접촉 논문 12편을 최종선정하였다. 후향적 접촉일지(7건, 58.3%), 무작위 추출법(9건, 75%)을 연구방법으로 가장 많이 이용하고 있었으며, 접촉자 수는 4.9명-17.7명/일, 주중에 주말보다 더 많았으며, 매일 만나는 관계에 있는 사람과 주로 접촉하였고, 신체적 접촉은 가정 내에서 빈번하였다. 접촉 빈도가 가장 높은 연령은 5-19세로 감염병 유행 발생 시에는 이 연령층에 의한 감염전파가 우려된다고 볼 수 있다. 특히 동질성혼합(assortative mixing)은 5-20세 군에서 높아 이 연령층은 동일한 연령대와의 접촉으로 인한 감염전파 가능성이 큼을 시사하므로 이 연령층에 대한 감염 예방대책이 필요함을 보여주고 있었다. 그러므로 국내에서도 새로운 감염병 또는 재유행 감염병의 발생이나 관리의 정확한 예측을 위해서 국내 기반의 사회적 접촉양상을 파악하여, 이를 기초로 국내 감염병 유행 발생의 예측과 감염 예방대책 수립이 이루어져야 할 것이다.

Forecasting of the COVID-19 pandemic situation of Korea

  • Goo, Taewan;Apio, Catherine;Heo, Gyujin;Lee, Doeun;Lee, Jong Hyeok;Lim, Jisun;Han, Kyulhee;Park, Taesung
    • 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.