• IMMUNE NETWORK
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• v.23 no.2
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• pp.19.1-19.10
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• 2023

Endemic human coronaviruses (HCoVs) have been evidenced to be cross-reactive to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although a correlation exists between the immunological memory to HCoVs and coronavirus disease 2019 (COVID-19) severity, there is little experimental evidence for the effects of HCoV memory on the efficacy of COVID-19 vaccines. Here, we investigated the Ag-specific immune response to COVID-19 vaccines in the presence or absence of immunological memory against HCoV spike Ags in a mouse model. Pre-existing immunity against HCoV did not affect the COVID-19 vaccine-mediated humoral response with regard to Ag-specific total IgG and neutralizing Ab levels. The specific T cell response to the COVID-19 vaccine Ag was also unaltered, regardless of pre-exposure to HCoV spike Ags. Taken together, our data suggest that COVID-19 vaccines elicit comparable immunity regardless of immunological memory to spike of endemic HCoVs in a mouse model.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.30 no.3
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• pp.256-269
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• 2020

Objectives: Everyone has been affected in some way by the COVID-19 pandemic, while some workers face threats to their health due to their jobs as well as worries about spreading the virus to intimate family members. With these concerns in mind, this study aims to identify occupations more vulnerable to COVID-19 and suggests the necessity of providing proper control measures against the risks in a timely manner in Korea. Methods: Daily briefing reports by the Korea Centers for Disease Control and Prevention (KCDC) were compiled (n=120) between January 20 and May 31, 2020. A total of 11,486 confirmed cases were included, which were sorted by occasion, area, and occupation. Among them, 2,411 cases were classified with specific occasions and/or areas of infection, while only 544 cases were determined with identifiable occupations. Guidelines for biological hazard management and COVID-19 guidelines for workplaces from domestic and international bodies were enlisted and compared. Results: It is unsurprising to find that healthcare professionals are experiencing the most immediate threat from COVID-19. In addition, service workers with face-to-face practices or indirect contact are also facing high risks. Religion facilities and eating places (dining, drinking bar, café, etc.,) follow. Guidelines and manuals for biological hazards are still lacking in Korea compared to the US and EU. Workplace manuals for managing COVID-19 are neither as comprehensive as the approaches of NIOSH's hierarchy of controls nor inclusive enough for minimizing secondary or tertiary suffering. Conclusions: The COVID-19 crisis is still ongoing and there is no doubt there will be more such events in the future. This analysis suggests that occupational health professionals, amid a pandemic including COVID-19, are urged to anticipate emerging risks related to all sorts of occupations, identify vulnerable workers and working environments, and plan and take actions to protect workers' health.

• Journal of Preventive Medicine and Public Health
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• v.53 no.3
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• pp.151-157
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• 2020

Objectives: The outbreak of coronavirus disease 2019 (COVID-19) is one of the main public health challenges currently facing the world. Because of its high transmissibility, COVID-19 has already caused extensive morbidity and mortality in many countries throughout the world. An accurate estimation of the basic reproduction number (R₀) of COVID-19 would be beneficial for prevention programs. In light of discrepancies in original research on this issue, this systematic review and meta-analysis aimed to estimate the pooled R₀ for COVID-19 in the current outbreak. Methods: International databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched to identify studies conducted regarding the R₀ of COVID-19. Articles were searched using the following keywords: "COVID-19" and "basic reproduction number" or "R₀." The heterogeneity among studies was assessed using the I² index, the Cochran Q test, and T². A random-effects model was used to estimate R₀ in this study. Results: The mean reported R₀ in the identified articles was 3.38±1.40, with a range of 1.90 to 6.49. According to the results of the random-effects model, the pooled R₀ for COVID-19 was estimated as 3.32 (95% confidence interval, 2.81 to 3.82). According to the results of the meta-regression analysis, the type of model used to estimate R₀ did not have a significant effect on heterogeneity among studies (p=0.81). Conclusions: Considering the estimated R₀ for COVID-19, reducing the number of contacts within the population is a necessary step to control the epidemic. The estimated overall R₀ was higher than the World Health Organization estimate.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.281-286
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• 2021

This study is a basic study on COVID-19 and human quality of life. The purpose of the study is to reveal what changes are made in people's lives after a disaster and to provide basic data for crisis intervention research to effectively improve life satisfaction after a disaster to all subjects living in this era. As a result of the study, changes in life before and after COVID-19 differed depending on the subject. COVID-19 is certainly a major disaster for our society. In order to wisely cope with such a disaster situation, it can be said that a crisis intervention program is urgently needed. It can be said that a program is required to immediately focus on the crisis situation according to the target and evaluate the current difficulties to understand the client's response to the situation and relieve their feelings such as anger and anxiety.

• The Journal of Information Systems
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• v.30 no.3
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• pp.21-45
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• 2021

Purpose This paper analyzed the impacts of domestic stock market by a global pandemic such as COVID-19. We investigated how the overall pattern of the stock market changed due to the impact of the COVID-19 pandemic. In particular, we analyzed in depth the pattern of stock price, as well, tried to find what factors affect on stock market index(KOSPI) in the healthcare industry due to the COVID-19 pandemic. Design/methodology/approach We built a data warehouse from the databases in various industrial and economic fields to analyze the changes in the KOSPI due to COVID-19, particularly, the changes in the healthcare industry centered on bio-medicine. We collected daily stock price data of the KOSPI centered on the KOSPI-200 about two years before and one year after the outbreak of COVID-19. In addition, we also collected various news related to COVID-19 from the stock market by applying text mining techniques. We designed four experimental data sets to develop decision tree-based prediction models. Findings All prediction models from the four data sets showed the significant predictive power with explainable decision tree models. In addition, we derived significant 10 to 14 decision rules for each prediction model. The experimental results showed that the decision rules were enough to explain the domestic healthcare stock market patterns for before and after COVID-19.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.1-9
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• 2021

Since the first confirmed case in January 2020, Coronavirus disease 2019(COVID-19) has brought many changes to our society, and Korea is no exception. Some changes are direct and immediate such as restrictions on overseas travel and social distancing, but the others are indirect and slowly adapted such as lifestyle changes impacting industries and businesses. IT service sector is tremendously influenced by COVID-19. IT service is used extensively in response to COVID-19 taking advantage of its non-face-to-face characteristics. In that sense, the industry is positively affected and in some sense invigorated, giving birth to new kind of services. This special issue focuses on introducing how the IT services are affected, what kind of transformations are undergoing, and how these are expedited after COVID-19. This special issue expands and extends the case research section by collecting new IT service case studies concerning these topics. After competitive review process, 11 studies are selected for this special issue which deals with four different but closely related aspects: (1) evolutions of private IT services, (2) transformations in public IT services, (3) impacts in the hospitality and tourism industry, and (4) changes of people's behavior along with COVID-19. The first set reports on the evolution of private IT services that have created terms such as foodtech and edutech as we enter a rapid non-face-to-face situation. The second set consists of studies dealing with the evolution of public IT services. Evolution and rapid response to non-face-to-face appear to be no exception in the public sector. The third includes studies of hospitality and tourism which is most strongly affected by COVID-19. The last set deals with the behavioral changes of users such as technostress in telecommuting. Lessons learned through best practices and key problems identified in these studies may help us to actively respond to the coming waves of changes incurred by COVID-19 in our society as well as in the IT service industry.

• Journal of Korean Biological Nursing Science
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• v.23 no.4
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• pp.318-329
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• 2021

Purpose: This study was conducted to identify factors affecting COVID-19 vaccination and associated side effects among health care workers in a small and medium-sized hospital. Methods: In May 2021, 301 workers out of a total of 670 working in a small and medium-sized hospital in Gyeonggi-do, were surveyed. The small and medium-sized hospital treats patients with COVID-19. Health care workers across different medical institutions responded with self-reported internet questionnaires. Factors influencing COVID-19 vaccination were analyzed via logistic regression. Results: Out of 301 subjects, 89.0% showed an intention to inoculate, and 85.7% were vaccinated against COVID-19. The most frequent reason for vaccination was responsibility as a medical worker. The fear of adverse reactions was the most frequent reason for non-vaccination. Adverse reactions after inoculation occurred in 70.9% of cases, and 30.6% were referred for treatment of adverse reactions. The factors ultimately influencing COVID-19 vaccination were vaccination intention, previous side effects from other vaccinations, occupation, and age. Conclusion: In order to improve the effectiveness of COVID-19 vaccination, a systematic approach is required to determine the risk factors associated with the young age of the administrative staff/personnel, subjects with a history of side effects associated with other vaccines, and health care workers who do not intend to be vaccinated. It is important to develop strategies to improve immunization. In addition, accurate and essential information regarding the side effects of vaccination is needed, along with appropriate education and publicity.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.154-168
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• 2021

COVID-19 has been spreading all around the world, and threatening global health. In this situation, identifying and isolating infected individuals rapidly has been one of the most important measures to contain the epidemic. However, the standard diagnosis procedure with RT-PCR (Reverse Transcriptase Polymerase Chain Reaction) is costly and time-consuming. For this reason, pooled testing for COVID-19 has been proposed from the early stage of the COVID-19 pandemic to reduce the cost and time of identifying the COVID-19 infection. For pooled testing, how many samples are tested in group is the most significant factor to the performance of the test system. When the arrivals of test requirements and the test time are stochastic, batch-service queueing models have been utilized for the analysis of pooled-testing systems. However, most of them do not consider the false-negative test results of pooled testing in their performance analysis. For the COVID-19 RT-PCR test, there is a small but certain possibility of false-negative test results, and the group-test size affects not only the time and cost of pooled testing, but also the false-negative rate of pooled testing, which is a significant concern to public health authorities. In this study, we analyze the performance of COVID-19 pooled-testing systems with false-negative test results. To do this, we first formulate the COVID-19 pooled-testing systems with false negatives as a batch-service queuing model, and then obtain the performance measures such as the expected number of test requirements in the system, the expected number of RP-PCR tests for a test sample, the false-negative group-test rate, and the total cost per unit time, using the queueing analysis. We also present a numerical example to demonstrate the applicability of our analysis, and draw a couple of implications for COVID-19 pooled testing.

• The Korean Journal of Pain
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• v.35 no.1
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• pp.14-21
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• 2022

The coronavirus disease 2019 (COVID-19) pandemic, which has been rampant since the end of 2019, has evidently affected pain management in clinical practice. Fortunately, a COVID-19 vaccination program is currently in progress worldwide. There is an ongoing discussion that pain management using steroid injections can decrease COVID-19 vaccine efficacy, although currently there is no direct evidence to support this statement. As such, the feeling of pain in patients is doubled in addition to the co-existing ill-effects of social isolation associated with the pandemic. Thus, in the COVID-19 era, it has become necessary that physicians be able to provide high quality pain management without negatively impacting COVID-19 vaccine efficacy. Steroids can alter the entire process involved in the generation of adaptive immunity after vaccination. The period of hypophysis-pituitary-adrenal axis suppression is known to be 1 to 4 weeks after steroid injection, and although the exact timing for peak efficacy of COVID-19 vaccines is slightly different for each vaccine, the average is approximately 2 weeks. It is suggested to avoid steroid injections for a total of 4 weeks (1 week before and after the two vaccine doses) for the double-shot vaccines, and for 2 weeks in total (1 week before and after vaccination) for a single-shot vaccine. This review focuses on the basic concepts of the various COVID-19 vaccines, the effect of steroid injections on vaccine efficacy, and suggestions regarding an appropriate interval between the administration of steroid injections and the COVID-19 vaccine.

• Health Policy and Management
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• v.32 no.3
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• pp.304-316
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• 2022

Background: As prevention of coronavirus disease 2019 (COVID-19) transmission in healthcare settings has become a critical component in its effective management, COVID-19 specific infection prevention and control (IPC) guidelines were developed and implemented by numerous countries. Although largely based on the current evidence-base, guidelines show much heterogeneity, as they are influenced by respective health system capacities, epidemiological risk, and socioeconomic status. This study aims to analyze the variations and concurrences of these guidelines to draw policy implications for COVID-19 response and future guidelines development. Methods: The contents of the COVID-19 IPC guidelines were analyzed using the categories and codes developed based on "World Health Organization guidelines on core components." Data analysis involved reviewing, appraising and synthesizing data from guidelines, which were then arranged into categories and codes. Selection of countries was based on the country income level, availability of COVID-19 specific IPC guideline developed at a national or district level. Results: The guidelines particularly agreed on IPC measures regarding application of standard precautions and providing information to patients and visitors, monitoring and audit of IPC activities and staff illnesses, and management of built environment/equipments. The guidelines showed considerable differences in certain components, such as workplace safety measures and criteria for discontinuation of precautions. Several guidelines also contained unique features which enabled a more systematic response to COVID-19. Conclusion: The guidelines generally complied with the current evidence-based COVID-19 management but also revealed variances stemming from differences in local health system capacity. Several unique features should be considered for benchmark in future guidelines development.