• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.143-144
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• 2022

본 연구에서는 엄격성 지수(Strigency Index)분석에 따른 OECD 가입국들의 코로나19 대응 정책 엄격성의 효과성을 분석하였다. 코로나바이러스감염증-19(이하, 코로나19)발생 이후 전 세계 대다수 국가들은 점진적 일상회복 단계로 접어들어 'with corona' 시대로 가고 있다. 코로나19의 완전 방역을 이루며 이전과 같은 일상으로 돌아가고 있지만, 또다시 대규모 감염병이 발생할 수 있다는 가능성을 가지고 있다. 그리하여 본 연구에서는 옥스퍼드 코로나바이러스 정부대응추적 프로젝트(OxCGRT)에서 제시된 21개 지표 중 OurWorldinData서 엄격성 지수 분석에 활용되는 9개 지표를 분석하여 정책의 엄격성을 분석하여 추후 발생하는 대규모 감염병에 효과적으로 대응하기 위한 기초 자료가 되고자 한다. 엄격성 지수 분석 결과, 9개 지표 중 6개 지표에서 정책의 도입한 시점부터 확진자가 감소하는 추세를 보이는 유사한 변화를 찾을 수 있었다. 하지만, 엄격성 지수 분석을 통해 국가 대응의 적절성·효과성을 입증하기에는 판단 기준이 0~4점 사이의 임의의 기준으로 분류되고 있었으며, 변수설정 또한 제시되어 있지 않아 대응 정책의 엄격성을 평가하는 기준으로 활용하기에는 한계점이 있어 보인다. 본 연구에서 엄격성 지수 분석을 통한 감염병 대응 정책의 효과성을 찾고자 하였다. 지수와 확진자 추세 간 유사한 변화는 찾았지만, 엄격성 지수의 한계점이 존재하는 연구이다. 그러나 본 연구의 결과를 통해 추후 확진자 증감 대비 엄격성 지수 분석을 통한 상관관계 분석, 지표별 평균치와 확진자 추세 분석을 통한 공통적인 효과성 분석 등 다른 연구의 기초 자료가 될 수 있을 것이라 판단된다.

• 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 Digital Convergence
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• v.18 no.6
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• pp.479-493
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• 2020

Outbreak of COVID-19 originated from China resulted significantly high casualties and social and economic damages. Currently the major countries see importance of accurate prediction of originating trend to prevent the spread of infectious disease and AI is actively utilized when establishing the system. Therefore this study has comprehended the status of utilizing the AI in overseas and made comparison and analysis with domestic status. It derived the necessity to establish national control tower based on One Health to respond to infectious disease to effectively utilize AI and suggested to establish higher organization, Medical Big Data Governance, to respond to the infectious disease. It is necessary to conduct further study to utilize the results and suggestions derived from this study into the policy and if the suggestions are reflected to improve institutional imperfection, it will be positively used for prevention of the spreading infectious disease and utilizing medical Big Data.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.4
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• pp.229-236
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• 2020

In light of SARS-CoV-2's significant impact, human society has experienced rapid changes in lifestyle that it has not yet experienced before. One way this virus has influenced people's lives is the emergence of the zero-contact society, an initiative for preventing the spread of infectious diseases. As can be seen, the social impact of COVID-19 is widespread. Various issues, such as those about government policy, personal information protection, and health care, are affecting society as a whole. At the same time, factual information is difficult to track and record because of the rapid and transient nature of related events and issues. As such, a method of effectively describing COVID-19 and real-time information is necessary. The "COVID-19: Our Memory" project is an attempt to record the sociocultural impact of the coronavirus infection. This project collects major events and issues classified into several subjects, records those events from a neutral point of view, and develops a digital archive so that all records are accessible. All the data collected and built through the project, the application, including the source code and visualization, are all published to bring about new opportunities for collaboration.

• Korean Journal of Clinical Laboratory Science
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• v.52 no.4
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• pp.297-309
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• 2020

Coronaviruses were originally discovered as enzootic infections that limited to their natural animal hosts, but some strains have since crossed the animal-human species barrier and progressed to establish zoonotic diseases. Accordingly, cross-species barrier jumps resulted in the appearance of SARS-CoV, MERS-CoV, and SARS-CoV-2 that manifest as virulent human viruses. Coronaviruses contain four main structural proteins: spike, membrane, envelope, and nucleocapsid protein. The replication cycle is as follows: cell entry, genome translation, replication, assembly, and release. They were not considered highly pathogenic to humans until the outbreaks of SARS-CoV in 2002 in Guangdong province, China. The consequent outbreak of SARS in 2002 led to an epidemic with 8,422 cases, and a reported worldwide mortality rate of 11%. MERS-CoVs is highly related to camel CoVs. In 2019, a cluster of patients infected with 2019-nCoV was identified in an outbreak in Wuhan, China, and soon spread worldwide. 2019-nCoV is transmitted through the respiratory tract and then induced pneumonia. Molecular diagnosis based on upper respiratory region swabs is used for confirmation of this virus. This review examines the structure and genomic makeup of the viruses as well as the life cycle, diagnosis, and potential therapy.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.53-59
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• 2021

The purpose of this study is to identify anxiety and depression level for corona virus 19 among hospital nurses to the spread of COVID-19. Data were collected from 232 nurses in 5 hospitals from August to September in 2020 using questionnaire. Characteristics relative to variables were measured, and analyzed using SPSS 26.0 program for descriptive statistics, t-test, ANOVA, and pearson's correlation. The depression level differed according to gender. The anxiety about COVID-19 infection showed a significantly positive correlation to depression (r=.26, p<.001). Based on these results, several roles and coping strategies were suggested to help nurses recover and maintain their psychological stability and mental health.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.2
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• pp.247-267
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• 2020

Libraries are public institutions in charge of information distribution. Libraries need to secure sustainability in providing services so that they can contribute to social integration even in disaster situations. The recent spread of the Corona 19 virus has negatively affected the operation of libraries and libraries have suspended services and users' visits to prevent possible infections. This study intends to examine responses of domestic and foreign libraries to the unexpected disasters, and also presents measures to ensure sustainability and considerations in establishing these measures.

• 월간산업보건
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• s.383
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• pp.42-55
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• 2020

협회에서는 최근 발생한 코로나바이러스감염증19와 관련하여 2020년도 감염병 관리사업지침을 소개합니다. 본 지침은 「감염병의 예방 및 관리에 관한 법률」 에 따른 감염병 감시, 역학조사, 실험실 검사, 감염병 환자 및 접촉자 관리, 감염병 예방, 방역, 지자체 역량강화에 관한 정확한 정보를 제공하여 업무수행의 효율성을 높이고자 제작하였습니다. 해당 내용은 질병관리본부의 <2020년도 감염병 관리사업지침>을 발췌하였습니다. 사업장 특성과 사정에 따라 참고하시길 바랍니다.

• Journal of agricultural medicine and community health
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• v.49 no.1
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• pp.13-36
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• 2024

Objectives: The purpose of this field case report is 1) to analyze the community's strategy and performance in responding to infectious diseases through the case of COVID-19 infectious disease crisis response of Daegu Metropolitan City, and 2) to interpret this case using governance theory and infectious disease response governance framework. and 3) to propose a strategic model to prepare for future infectious disease outbreaks of the community. Methods: Cases of Daegu Metropolitan City's infectious disease crisis response were analyzed through researchers' participatory observations. And review of OVID-19 White Paper of Daegu Metropolitan City, Daegu Medical Association's COVID-19 White Paper, and literature review of domestic and international governance, and administrative documents. Results: Through the researcher's participatory observation and literature review, 1) establishment of leadership and response system to respond to the infectious disease crisis in Daegu Metropolitan City, 2) citizen's participation and communication strategy through the pan-citizen response committee, 3) cooperation between Daegu Metropolitan City and governance of public-private medical facilities, 4) decision-making and crisis response through participation and communication between the Daegu Metropolitan City Medical Association, Medi-City Daegu Council, and medical experts of private sector, 5) symptom monitoring and patient triage strategies and treatment response for confirmed infectious disease patients by member of Daegu Medical Association, 6) strategies and implications for establishing and utilizing a local infectious disease crisis response information system were derived. Conclusions: The results of the study empirically demonstrate that collaborative governance of the community through the participation of citizens, private sector experts, and community medical facilities is a key element for effective response to infectious disease crises.

• Journal of Food Hygiene and Safety
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• v.39 no.3
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• pp.260-265
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• 2024

During the coronavirus 2019 (COVID-19) pandemic, wastewater-based epidemiology was used for surveying infectious diseases. In this study, wastewater surveillance was employed to monitor COVID-19 outbreaks. Wastewater influent samples were collected from four sewage treatment plants in Ulsan (Gulhwa, Yongyeon, Nongso, and Bangeojin) between August 2022 and August 2023. The samples were concentrated using the polyethylene glycol-sodium chloride pretreatment method. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was extracted and detected using real-time polymerase chain reaction. Next generation sequences was used to perform correlation analysis between SARS-CoV-2 concentrations and COVID-19 cases and for COVID-19 variant analysis. A strong correlation was observed between SARS-CoV-2 concentrations and COVID-19 cases (correlation coefficient, r = 0.914). The COVID-19 variant analysis results were similar to the clinical variant genomes of three epidemics during the study period. In conclusion, monitoring COVID-19 via analyzing wastewater facilitates early recognition and prediction of epidemics.