• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.728-739
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• 2020

Using webometric big data, this study examines the diversity of online information sources about the novel coronavirus causing the COVID-19 pandemic. Specifically, it focuses on some 28 countries where confirmed coronavirus cases occurred in February 2020. In the results, the online visibility of Australia, Canada, and Italy was the highest, based on their producing the most relevant information. There was a statistically significant correlation between the hit counts per country and the frequency of visiting the domains that act as information channels. Interestingly, Japan, China, and Singapore, which had a large number of confirmed cases at that time, were providing web data related to the novel coronavirus. Online sources were classified using an N-tuple helix model. The results showed that government agencies were the largest supplier of coronavirus information in cyberspace. Furthermore, the two-mode network technique revealed that media companies, university hospitals, and public healthcare centers had taken a positive attitude towards online circulation of coronavirus research and epidemic prevention information. However, semantic network analysis showed that health, school, home, and public had high centrality values. This means that people were concerned not only about personal prevention rules caused by the coronavirus outbreak, but also about response plans caused by life inconveniences and operational obstacles.

• Journal of Appropriate Technology
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• v.7 no.1
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• pp.102-114
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• 2021

India has recently experienced an acute crisis confronting the COVID-19 pandemic as confirmed cases exceeded 11.73 million in March 2021, which was the second worst scale only after the United States. The strict lockdown measures as well as the pandemic itself posed a serious threat of survival, in particular, to immigrant workers engaged in informal sectors, which triggered their reverse immigration. In case the COVID-19 pandemic continues in 2021, it is estimated that in the sector of tourism and service alone, more than 20 million jobs will disappear. The damage on industry is already being realized with the significant decrease of workforce. It is important to note, however, that jobless growth and labor polarization were observed even before the outbreak of COVID-19, and that the pandemic only served as one of the trigger catalysts that made those submerged problems burst out. In this study, we examine the structural problems in industry and labor market in India and consider the social context and efficacy of the "Make in India" or "Atmanirbhar Bhrat" policy. The latter initiative was presented in the trenches of the pandemic in 2020. While considering the complexity of problems, we would like to pursue a future-oriented approach and propose a direction in restructuring the labor market, attempted at reversing the critical conditions following the fourth industrial revolution and digitization into the shortcut to labor market restructuring.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.37-43
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• 2022

In this paper, we calculate the word frequency by date and region using news data related to COVID-19 distributed for about 8 months from December 2019 to July 2020, and visualized the correlation with the current state data of COVID-19 patients using the results. News data was collected from Big Kids, a news big data system operated by the Korea Press Promotion Foundation. The visualization system proposed in this paper shows the news frequency of the selected region compared to the overall region, the key keyword of the selected region, the region of the main keyword, and the date change of the selected region. Through this visualization, the main keywords and trends of COVID-19 confirmed and infected people can be identified for previous events.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.109-116
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• 2022

This study conducted YouTube network analysis on YouTube video related with prevention of COVID-19 and COVID-19 vaccine to explores how government's policy is spread via social media in the condition of COVID-19. As a result of network analysis on the Mask chaos, A surge in confirmed cases, supply of vaccine, the influence of media like YTN and KBS is large, their view count is high. Government highlights to inform correct information actively to face negative massage and misinformation. The media has to fact check on the misinformation and disinformation.

• Journal of IKEEE
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• v.26 no.4
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• pp.681-685
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• 2022

Including the COVID-19 crisis, humanity is constantly exposed to viral infections, and efforts are being made to prevent the spread of infection by quickly isolating infected people and tracing contacts. Passive epidemiological investigations that confirm contact with an infected person through contact have limitations in terms of accuracy and speed, so automatic tracking methods using various digital technologies are being proposed. This paper verify contact by utilizing Bluetooth Low Energy (BLE) technology and present an algorithm that identifies close contact through analysis and correction of RSSI (Received Signal Strength Indicator) values. Also, propose a system that can prevent the spread of viruses in a centralized server structure.

• Journal of the Korean Society of Safety
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• v.37 no.4
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• pp.80-91
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• 2022

The purpose of this study is to contribute to strengthening the response of local governments to the emergence of new infectious diseases by identifying the urban characteristics affecting their spread. To this end, the urban characteristics influencing the spread of infectious diseases were identified from previous studies. Moreover, the variations in the impact of urban characteristics that affected the number of confirmed COVID-19 patients was spatially analyzed using geographically weighted regression (GWR). The analysis indicated that the explanatory power of the GWR was approximately 12.4% higher than that of the ordinary least squares method. Moreover, the explanatory power of the model in the northern regions, such as Seoul, Gyeonggi, and Gangwon, was particularly high, indicating that the urban characteristics affecting the spread of COVID-19 vary by region. The results of this study can be used as a basis for suggesting the formulation of customized policies reflecting the characteristics of each local government rather than a uniform spread reduction policy.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.243-244
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• 2022

본 연구는 코로나-19로 인해 아프리카 국가들 중 1인당 사망자수와 케이스 수 그리고 환경적 요인과 의료 환경 요인을 데이터베이스화하여 다각적인 방면에서 측정하고 분석하였다. 코로나로 인해 사망자수가 증가하였으나 무엇이 가장 영향을 끼친 요인인지에 대해서 아직 정확히 밝혀진 바가 없다. 또한, 코로나 특성상 하나의 요인이 아닌 여러 요인이 혼합적으로 작용하여 일어나기 때문에, 여러 상황을 가정하여 외부 환경과 의료 환경을 모두 분석하였다. 이를 통해 요인을 확인하고 요인이 없다면 향후 다른 요인을 밝혀내기 위해 필요한 자료로 사용될 것이며 앞으로 각 국가별로 정책을 실행할 때 이를 이용해 '위드 코로나', '폐쇄 정책' 등을 실시할 수 있을 것으로 기대된다.

• Journal of agricultural medicine and community health
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• v.30 no.1
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• pp.39-50
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• 2005

Objectives: This investigation was carried out to explore the source and the mode of transmission of the diarrhea outbreak in Seongju-gun, Gyeongbuk, 2004 Methods: The authors conducted a questionnaire survey among the 275 persons (students, staff members and cooks) who ingested the possibly contaminated foods. We also investigated the drinking water and the dining facility, and we reviewed the process of cooking the salad, which was the presumed cause of the Enteropathogenic Escherichia coli(EPEC) diarrhea. The confirmed EPEC diarrheal case was defined as culture positive for EPEC, and the suspicious case was defined as diarrheal case with symptoms more than one of fever, vomiting and tenesmus. Results: The attack rate of EPEC diarrhea was 36.7%, and there were 8 confirmed cases. The possibility of the drinking being a source of the infection was very low, for chlorine was detected in all the drinking water via reviewing the past records and using a portable detector. The foods that were significantly associated with diarrhea were found. The relative risk (RR) for the lunch served Jul 7 was 4.12 (95% CI: 1.39-12.20). Among the non-boiled foods that were finally served, the RR for the salad was 1.66 (95% CI: 1.07-2.57). The cause of this outbreak was presumed to be the contaminated foods that were prepared by cooks using rubber glove with holes, and especially the salad and foods that were served sans boiling on Jul 7. Conclusions: Though this EPEC infection was not so clinically important, if a larger outbreak occurred, it might severely affect the public health. It is recommended to develop the more safe methods for cooking foods, and to strengthen the sanitary processing foods.

• Review of KIISC
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• v.31 no.4
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• pp.67-75
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• 2021

지난 2020년 전 세계적으로 코로나 19 확진자가 급증하자 세계보건기구(WHO)는 코로나 19 대유행을 선언하였다. 이러한 질병의 확산을 막는 방안으로 다양한 시험들이 비대면 시험으로 전환되면서 부정행위에 대한 우려가 있다. 또한, 이러한 상황에서 비대면 시험을 진행하고자 할 때 참조할 만한 체계가 없는 것이 현실이다. 이러한 상황을 고려하여 감염병 확산 이후로 불가피하게 진행될 비대면 환경에서의 감독 및 시험 방식에 있어 4단계의 거버넌스를 제시하고자 한다. 해당 거버넌스는 시험에서 사용되는 활용도 및 빈도수와 시험 감독 강도에 따라 4단계로 정의된다. 각 단계의 거버넌스들은 기존의 비대면 시험 방식과 코로나 19 이후의 시험 방식에 대한 비교 및 조사와 여러 시험 형식의 특성을 고려하여 제시된다. 제시된 거버넌스는 비대면 시험을 준비하고 시행하는 기관, 기업 및 학교들의 참조 모델이 될 것으로 기대하며, 비대면 시험의 "효율성"과 "공정성"을 확보하는 데에 기여할 것을 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.615-616
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• 2020

최근 중국으로 인해 코로나 19 바이러스가 전 세계로 퍼지면서 각 나라에 큰 위협이 되고 있다. 이에 대한민국의 국민들은 매일 코로나 바이러스 확진자와 사망자, 그리고 대처방안에 대한 브리핑을 정부 관계자로부터 듣고 이를 시행하고 있다. 본 논문에서는 코로나바이러스에 대해 브리핑을 하는 정부 관계자의 음성이 어떤 특정이 있는가를 규명해 보고자한다.