• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.331-350
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• 2022

This study aims to understand topics of incivility related to COVID-19 from analyzing Twitter posts including COVID-19-related hate speech. To achieve the goal, a total of 63,802 tweets that were created between December 1st, 2019, and August 31st, 2021, covering three targets of hate speech including region and public facilities, groups of people, and religion were analyzed. Frequency analysis, dynamic topic modeling, and keyword co-occurrence network analysis were used to explore topics and keywords. 1) Results of frequency analysis revealed that hate against regions and public facilities showed a relatively increasing trend while hate against specific groups of people and religion showed a relatively decreasing trend. 2) Results of dynamic topic modeling analysis showed keywords of each of the three targets of hate speech. Keywords of the region and public facilities included "Daegu, Gyeongbuk local hate", "interregional hate", and "public facility hate"; groups of people included "China hate", "virus spreaders", and "outdoor activity sanctions"; and religion included "Shincheonji", "Christianity", "religious infection", "refusal of quarantine", and "places visited by confirmed cases". 3) Similarly, results of keyword co-occurrence network analysis revealed keywords of three targets: region and public facilities (Corona, Daegu, confirmed cases, Shincheonji, Gyeongbuk, region); specific groups of people (Coronavirus, Wuhan pneumonia, Wuhan, China, Chinese, People, Entry, Banned); and religion (Corona, Church, Daegu, confirmed cases, infection). This study attempted to grasp the public's anti-citizenship public opinion related to COVID-19 by identifying domestic COVID-19 hate targets and keywords using social media. In particular, it is meaningful to grasp public opinion on incivility topics and hate emotions expressed on social media using data mining techniques for hate-related to COVID-19, which has not been attempted in previous studies. In addition, the results of this study suggest practical implications in that they can be based on basic data for contributing to the establishment of systems and policies for cultural communication measures in preparation for the post-COVID-19 era.

• Journal of the Korean Society of Radiology
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• v.15 no.3
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• pp.381-390
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• 2021

The purpose of this study was to examine the lecture satisfaction of radiological science majors in total remote classes due to coronavirus disease 2019, and influencing factors were analyzed. An online survey was conducted from September 1, 2020 to November 15, 2020, lecture satisfaction, teaching presence, academic motivation, self efficacy, behavior regulation and usage simplicity of remote classes for 458 3 and 4-year radiological science majors located in the Yeongnam area. Lecture satisfaction was significantly different according to grade, self-review time, and preferred teaching method. In addition, lecture satisfaction showed a significant positive corrleation with the teaching presence and usage simplicity of remote classes. In the multiple regression model, lecture satisfaction showed a significant explanatory power of 45.7% through usage simplicity, teaching presence, self efficacy and academic motivation. This study was attempted to provide basic data to increase the effect of remote classes at universities that are expected to expand in the post-corona.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.477-489
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• 2021

COVID-19 has spread seriously around the world in 2020 and it is still significantly affecting our whole daily life. Currently, the whole world is still undergoing the pandemic and South Korea is no exception to it. During the pandemic, South Korea had several events that prevented or accelerated its spread. To establish the prevention policies for infectious diseases, it is very important to evaluate the intervention effect of such events. The susceptible-infected-removed (SIR) model is often used to describe the dynamic behavior of the spread of infectious diseases through ordinary differential equations. However, the SIR model is a deterministic model without considering the uncertainty of observed data. To consider the uncertainty in the SIR model, the Bayesian approach can be employed, and this approach allows us to evaluate the intervention effects by time-varying functions of the infection rate in the SIR model. In this study, we describe the time trend of the spread of COVID-19 in South Korea and investigate the intervention effects for the events using the stochastic SIR model based on the Bayesian approach.

• Journal of The Korea Institute of Healthcare Architecture
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• v.29 no.4
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• pp.37-44
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• 2023

Purpose: Currently, research on environmental conditions and finishing materials for medical facilities with proven antiviral performance is poor in Korea. Through this study, we have explored environmental characteristics and finishing materials that can be used to control cross-infection when constructing medical facilities. Methods: Experiments in overseas papers related to antiviral effects of environmental conditions, spatial compartments, and interior finishes have been analyzed. Results: The higher the temperature, the higher the humidity, and the higher the illuminance of sunlight, the lower the viability of the corona-virus. The proliferation of viruses was suppressed on the surface of the copper alloy. Materials such as brushed steel are the ones that maintain the strongest viability. Among the characteristics of the surface, survival and propagation power differ depending on whether it is porous or hydrophilic. In the case of infection ward actually operated in Italy, the presence of airborne viruses in contaminated and non-contaminated spaces differed significantly. Corona-virus has been identified in reachable parts such as door handles and medical shelves in quasi-contaminated spaces, which are spaces between contaminated and non-contaminated spaces, but the corona-virus has not been identified in cases of out-of-touch walls. Implications: It is necessary to evaluate the performance by testing the construction finishing materials of infection control facilities according to domestic conditions.

• Proceedings of the Korean Society of Veterinary Service Conference
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• 1999.05a
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• pp.182.1-182
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• 1999

• Journal of the korean veterinary medical association
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• v.31 no.10
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• pp.661-665
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• 1995

• Journal of the korean veterinary medical association
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• v.35 no.8
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• pp.658-661
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• 1999

• 월간산업보건
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• s.386
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• pp.6-10
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• 2020

• 축산식품과학과 산업
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• v.9 no.2
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• pp.23-25
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• 2020

• Monthly Duck's Village
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• s.203
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• pp.12-17
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• 2020

지난해 10월부터 시작된 오리사육제한이 올해 2월까지 4개월간 실시됐다. 사육제한이 끝난 농가들이 기지개를 필 무렵, 코로나바이러스감염증-19(COVID-19, 이하 코로나19)가 터졌다. 3년간 시행된 오리사육 제한으로 생산비를 밑돌면서 오리를 생산해 온 오리업체들은 이번 사육제한을 끝으로 발돋움하려는 청사진을 그려놓았다. 그러나 세계를 '정지'상태로 만든 코로나19로 오리산업은 다시 답보상태에 빠졌다. 올해 외식산업에서의 '오리산업 전성기'를 꿈꾸며 오리자조금이 추진한 '오리 중량판매' 등의 시책은 코로나19로 두문불출하며 외식을 줄인 소비자들에게 제대로 선을 보이지도 못한 상태다. 외식시장의 대부분이 수입육으로 이뤄져 있는 대부분의 축종들은 가정소비가 늘어나면서 오히려 때아닌 특수를 누렸지만 외식수요로 생오리의 대부분을 판매하던 오리산업은 '나홀로' 피해를 입은 축종이 돼 버렸다. 오리사육 제한으로 입은 피해에서 아직 벗어나지도 못한 오리산업, 코로나19는 오리산업에 얼마만큼의 피해를 준 것일까? 이 패해는 언제 끝나는 것일까?