• Title/Summary/Keyword: Epidemic

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Patch Model-Based Epidemic Simulation System (패치 모델 기반의 전염병 시뮬레이션 시스템)

  • Choi, Hoon;Park, Dong-In
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.1465-1468
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    • 2010
  • 지난 몇 년 동안 전염병 확산을 분석하기 위해 InfluSim 을 기반으로 한 시뮬레이션 모델에 대한 연구가 진행되어 왔다. InfluSim 은 국내 각 지역의 인구 통계학적 특성과 인구 이동 등을 고려하지 않는 한계점이 있다. 이러한 이유로 InfluSim 에 의한 시뮬레이션 결과로부터 전염병 확산에 대한 방역 대책을 마련하는 것은 부적절한 측면이 있다. 이러한 문제점을 극복하기 위해, 우리는 패치 모델을 개발하였다. 패치 모델은 전국을 16 개 권역으로 나누어 각 지역의 인구 통계학적인 특성을 고려하고, 각 지역 간의 인구 이동을 고려한다. 패치 모델은 InfluSim 모델을 기반으로 하고, 16 개 지역의 인구 통계학적 특성 및 지역 간의 인구 이동량을 네트워크 모델로 보완하였다. 본 논문은 패치 모델 기반의 시뮬레이션 시스템에 대해 서술한다.

New approach to dynamic load balancing in software-defined network-based data centers

  • Tugrul Cavdar;Seyma Aymaz
    • ETRI Journal
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    • v.45 no.3
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    • pp.433-447
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    • 2023
  • Critical issues such as connection congestion, long transmission delay, and packet loss become even worse during epidemic, disaster, and so on. In this study, a link load balancing method is proposed to address these issues on the data plane, a plane of the software-defined network (SDN) architecture. These problems are NP-complete, so a meta-heuristic approach, discrete particle swarm optimization, is used with a novel hybrid cost function. The superiority of the proposed method over existing methods in the literature is that it provides link and switch load balancing simultaneously. The goal is to choose a path that minimizes the connection load between the source and destination in multipath SDNs. Furthermore, the proposed work is dynamic, so selected paths are regularly updated. Simulation results prove that with the proposed method, streams reach the target with minimum time, no loss, low power consumption, and low memory usage.

UTILIZING FIXED POINT METHODS IN MATHEMATICAL MODELLING

  • Dasunaidu Kuna;Kumara Swamy Kalla;Sumati Kumari Panda
    • Nonlinear Functional Analysis and Applications
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    • v.28 no.2
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    • pp.473-495
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    • 2023
  • The use of mathematical modelling in the study of epidemiological disorders continues to grow substantially. In order to better support global policy initiatives and explain the possible consequence of an outbreak, mathematical models were constructed to forecast how epidemic illnesses spread. In this paper, fractional derivatives and (${\varpi}$ - F𝓒)-contractions are used to explore the existence and uniqueness solutions of the novel coronavirus-19 model.

Mechanistic modelling for African swine fever transmission in the Republic of Korea

  • Eutteum Kim;Jun-Sik Lim;Son-Il Pak
    • Journal of Veterinary Science
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    • v.24 no.2
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    • pp.21.1-21.5
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    • 2023
  • Under the current African swine fever (ASF) epidemic situation, a science-based ASF-control strategy is required. An ASF transmission mechanistic model can be used to understand the disease transmission dynamics among susceptible epidemiological units and evaluate the effectiveness of an ASF-control strategy by simulating disease spread results with different control options. The force of infection, which is the probability that a susceptible epidemiological unit becomes infected, could be estimated by applying an ASF transmission mechanistic model. The government needs to plan an ASF-control strategy based on an ASF transmission mechanistic model.

A global epidemic notification site using natural language processing (자연어 처리를 활용한 전세계 전염병 알림 사이트)

  • Gwak, Chan-Woo;Kim, Ye-Chan;Choi, Jin-Hwang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.905-908
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    • 2020
  • 본 논문에서는 글로벌화가 진행됨에 따라 전 세계의 재난 경보시스템의 중요성을 인지하고, 현재 유행하고 있는 코로나 바이러스를 중점으로 알림 사이트를 개발하였다. 기존의 정보 제공 사이트들과 차별성을 두고자, 기존의 정보들을 분석하고 재분류하여 새로운 형태의 사이트의 형태를 가진다. 이를 위해 인공지능의 한 분야인 자연어처리를 활용하여 기존의 정보를 수집하고 가공하여, 보다 투명하고, 효율적이고, 가치 있는 정보를 게시한다. 정보의 정확성과 데이터 절감을 위하여 여러 조건을 통해 기존의 정보들을 재분류 작업 이후 WATSON NLU(Natural Language Understanding)를 통해 분석하여, 필요한 정보들을 각 대시보드에 게시한다. 각 대시보드는 NLU분석에서 얻을 수 있는 정보들을 기반으로 구성되어 있으며, 간결성과 가시성을 기반으로 정보를 확인할 수 있는 알림 사이트이다.

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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    • v.27 no.4
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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.

EPIDEMIC SEIQRV MATHEMATICAL MODEL AND STABILITY ANALYSIS OF COVID-19 TRANSMISSION DYNAMICS OF CORONAVIRUS

  • S.A.R. BAVITHRA;S. PADMASEKARAN
    • Journal of applied mathematics & informatics
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    • v.41 no.6
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    • pp.1393-1407
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    • 2023
  • In this study, we propose a dynamic SEIQRV mathematical model and examine it to comprehend the dynamics of COVID-19 pandemic transmission in the Coimbatore district of Tamil Nadu. Positiveness and boundedness, which are the fundamental principles of this model, have been examined and found to be reliable. The reproduction number was calculated in order to predict whether the disease would spread further. Existing arrangements of infection-free, steady states are asymptotically stable both locally and globally when R0 < 1. The consistent state arrangements that are present in diseases are also locally steady when R0 < 1 and globally steady when R0 > 1. Finally, the numerical data confirms our theoretical study.

Effects of Natural Alternative Sweeteners on Metabolic Diseases

  • Eunju Kim
    • Clinical Nutrition Research
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    • v.12 no.3
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    • pp.229-243
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    • 2023
  • The rising prevalence of obesity and diabetes is a significant health concern both in globally and is now regarded as a worldwide epidemic. Added sugars like sucrose and high-fructose corn syrup (HFCS) are a major concern due to their link with an increased incidence of diet-induced obesity and diabetes. The purpose of this review is to provide insight into the effects of natural sweeteners as alternatives to sucrose and HFCS, which are known to have negative impacts on metabolic diseases and to promote further research on sugar consumption with a focus on improving metabolic health. The collective evidences suggest that natural alternative sweeteners have positive impacts on various markers associated with obesity and diabetes, including body weight gain, hepatic fat accumulation, abnormal blood glucose or lipid homeostasis, and insulin resistance. Taken together, natural alternative sweeteners can be useful substitutes to decrease the risk of obesity and diabetes compared with sucrose and HFCS.

Halo, Reversed Halo, or Both? Atypical Computed Tomography Manifestations of Coronavirus Disease (COVID-19) Pneumonia: The "Double Halo Sign"

  • Antonio Poerio;Matilde Sartoni;Giammichele Lazzari;Michele Valli;Miria Morsiani;Maurizio Zompatori
    • Korean Journal of Radiology
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    • v.21 no.10
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    • pp.1161-1164
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    • 2020
  • The epidemic of 2019 novel coronavirus, later named as coronavirus disease (COVID-19), began in Wuhan, China in December 2019 and has spread rapidly worldwide. Early diagnosis is crucial for the management of the patients with COVID-19, but the gold standard diagnostic test for this infection, the reverse transcriptase polymerase chain reaction, has a low sensitivity and an increased turnaround time. In this scenario, chest computed tomography (CT) could play a key role for an early diagnosis of COVID-19 pneumonia. Here, we have reported a confirmed case of COVID-19 with an atypical CT presentation showing a "double halo sign," which we believe represents the pathological spectrum of this viral pneumonia.

Evaluation of the MBTI Popularity in South Korea -- An Analysis Based on Media Coverage

  • Wanting Jiang
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.26-33
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    • 2024
  • With the start of COVID-19 in 2020, the MBTI test became popular among Korean young generation and then developed into a nationwide hot topic. This paper aims to investigate the characteristics of the MBTI popularity in Korea and the public opinions toward this phenomenon. With the analysis of the reports contents, 231 news reports related to MBTI were selected from KINDS (Korea Integrated News Database System) as research samples. The general attitude of the media towards MBTI tests and the reasons for the formation of positive and negative evaluations will be discussed from three perspectives: media attention, media attitudes and cognitive sources. The research finds that the increasing interest in MBTI among the younger generation in Korea is driven by a post-epidemic desire for self-exploration, emotional planning, and online group affiliation. MBTI has gained quasi-scientific status, similar to horoscopes, influenced by celebrities and a substantial fan base in online communication. While widely used for entertainment and social currency, there are concerns that extensive labeling may unconsciously impact individuals' self-perception and hinder the development of a holistic and objective cognitive framework.