• Human Ecology Research
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• v.61 no.1
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• pp.29-38
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• 2023

This study examined changes in dietary life and dietary life satisfaction in one-person households during the COVID-19 pandemic. Using a sample of 916 one-person households from the Food Consumption Behavior Survey, we applied ANOVA and a system of equations model for our analysis which produced four main results. Firstly, during the COVID-19 pandemic, eating homemade and delivered meals increased, whereas eating restaurant, group, and HMR meals decreased. Eating breakfast and regular eating habits also increased during the pandemic. Secondly, approximately 30% of the sample reported increased expenditure on fresh food and HMR meals. The proportion of positive changes in dietary life was also greater than negative changes, and dietary life satisfaction was about three times higher than it had been before the pandemic. Thirdly, having breakfast and regular eating fully mediated the relationship between spending on fresh food and dietary life satisfaction, as well as the relationship between HMR purchases and dietary life satisfaction. Changes in expenditure on fresh food and HMR meals positively affected dietary life satisfaction through eating breakfast and regular eating. Fourthly, increased consumption of delivered food had a positive direct effect on dietary life satisfaction. Among sociodemographic variables, gender, education, occupation, and age were also significantly related to changes in dietary life satisfaction.

• East Asian Journal of Business Economics (EAJBE)
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• v.12 no.1
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• pp.23-33
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• 2024

Purpose: This paper explores the nuanced approaches undertaken by private companies in formulating and implementing business continuity plans (BCPs) in response to the unprecedented challenges posed by the global COVID-19 pandemic. Research design, data, and methodology: Utilizing a mixed-methods research design, the study delves into the multifaceted strategies employed by private sector entities, ranging from risk assessment and remote work policies to supply chain diversification and employee well-being initiatives. Result: The findings contribute to a deeper understanding of the evolving landscape of business continuity planning during a pandemic, offering valuable insights for academia, industry practitioners, and policymakers. The research findings present a detailed account of how private companies have tailored their business continuity plans in response to the unique challenges posed by the pandemic. Conclusion: This academic exploration sheds light on the dynamic landscape of business continuity planning in private companies responding to the global pandemic. Insights into the effectiveness of remote work policies, supply chain diversification, employee safety measures, and financial strategies contribute to the understanding of best practices and areas requiring further attention. These recommendations aim to inform future business continuity planning efforts, enhance organizational resilience, and mitigate the impact of global health crises on private sector operations.

• Journal of Preventive Medicine and Public Health
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• v.43 no.2
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• pp.109-116
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• 2010

Objectives: The pandemic of novel influenza A (H1N1) virus has required decision-makers to act in the face of the substantial uncertainties. In this study, we evaluated the potential impact of the pandemic response strategies in the Republic of Korea using a mathematical model. Methods: We developed a deterministic model of a pandemic (H1N1) 2009 in a structured population using the demographic data from the Korean population and the epidemiological feature of the pandemic (H1N1) 2009. To estimate the parameter values for the deterministic model, we used the available data from the previous studies on pandemic influenza. The pandemic response strategies of the Republic of Korea for novel influenza A (H1N1) virus such as school closure, mass vaccination (70% of population in 30 days), and a policy for anti-viral drug (treatment or prophylaxis) were applied to the deterministic model. Results: The effect of two-week school closure on the attack rate was low regardless of the timing of the intervention. The earlier vaccination showed the effect of greater delays in reaching the peak of outbreaks. When it was no vaccination, vaccination at initiation of outbreak, vaccination 90 days after the initiation of outbreak and vaccination at the epidemic peak point, the total number of clinical cases for 400 days were 20.8 million, 4.4 million, 4.7 million and 12.6 million, respectively. The pandemic response strategies of the Republic of Korea delayed the peak of outbreaks (about 40 days) and decreased the number of cumulative clinical cases (8 million). Conclusions: Rapid vaccination was the most important factor to control the spread of pandemic influenza, and the response strategies of the Republic of Korea were shown to delay the spread of pandemic influenza in this deterministic model.

• Journal of Life Science
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• v.28 no.5
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• pp.555-562
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• 2018

Swine influenza virus (SIV) causes one of the most common diseases of the pig population, and its subtypes are determined by hemagglutinin (HA) and neuraminidase (NA). Recently, the SIV subtype diagnosis has been developed. The method using antigen-antibody reaction rather than PCR was mainly used because of the large change in the ribonucleotide sequences of SIV. Here, we have developed 10 diagnostic primer sets through multi-nucleotide sequences alignment of spreaded SIV since 2008 in Korea and then optimized the reaction of the one-step RT-PCR for rapid determination of SIV subtype. In addition, specific primers were designed to early determine the pandemic SIV by detecting unique M sequences proven in highly infectious and virulent subtypes of the influenza H1N1 (pH1N1). Here, some of the SIVs spread in Korea from 2008 to 2014 have been tested to determine the subtypes and pandemic potential of SIV. All diagnostic primer sets were found to be able to accurately determine the SIV subtype and to detect the pandemic SIV. In conclusion, it was confirmed that the optimized one-step RT-PCR analysis using these primer sets is useful for rapid diagnosis of SIV subtypes. These results can be used for development of SIV subtype diagnostic kit to early detect before virulent SIV spreads do.

• Health Policy and Management
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• v.31 no.4
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• pp.508-517
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• 2021

Background: After the first case of coronavirus disease 2019 (COVID-19) in January 2020, Korea has experienced three waves in 2020. This study aimed to analyze changes in health care utilization according to the period of the 1st to 3rd waves of the COVID-19 pandemic. Methods: We analyzed 3,354,469,401 national health insurance claims from 59,104 medical facilities between 2017 and 2020. Observed-to-expected ratios (O:E ratio) with data from 2017 to 2019 as expected values and data from 2020 as observed values were obtained to analyze changes in medical utilization. T-test was used to test whether the difference of observed and expected values was statistically significant. Results: In 2020, the O:E ratio was 0.894, indicating a decrease in health care utilization overall during the pandemic. The O:E ratio of the 1st wave was 0.832, which was lower than those of the second (0.886) and third (0.873) waves. Health care utilization decreased relatively more among outpatient, women, children and adolescents, and health insurance patients. And health care utilization decreased more in small medical facilities and in Daegu and Gyeongbuk during the first wave. During the pandemic, the O:E ratios of respiratory diseases were 0.486-0.694, while chronic diseases and mental diseases were more than 1.0. Conclusion: Health care utilization decreased during the COVID-19 pandemic overall, and there were differences by COVID-19 waves, and by the characteristics of patients and medical facilities. It is necessary to understand the cause of changes in health care utilization in order to cope with the prolonged COVID-19 pandemic.

• Nutrition Research and Practice
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• v.15 no.sup1
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• pp.53-69
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• 2021

BACKGROUND/OBJECTIVES: To determine the weight change trend among the adult Turkish population after 1 yr of the coronavirus disease 2019 (COVID-19) pandemic and factors associated with weight change. MATERIALS/METHODS: This cross-sectional study was conducted between 26 February and 6 March 2021 using an online questionnaire that included questions for sociodemographic variables, eating habits, stress level, and the Three-Factor Eating Questionnaire-R18. Those who weighed themselves 1-2 weeks before the pandemic was declared in Turkey and remembered their weight were invited to participate in the study. Trends in weight and body mass index (BMI) change were calculated. The variables associated with a 1% change in BMI were assessed using hierarchical regression analysis. RESULTS: The study was conducted with 1,630 adults (70.25% female) with a mean age of 32.09 (11.62) yrs. The trend of weight change was found to increase by an average of 1.15 ± 6.10 kg (female +0.72 ± 5.51, male +2.16 ± 7.22 kg) for the first year of the COVID-19 pandemic. The rate of participants with a normal BMI (18.50-24.99 kg/m²) decreased to 51.91% from 55.75%. Consuming an "Increased amount of food compared to before the pandemic" was found to be the independent variable that had the strongest association with a 1% increase in BMI (β = 0.23 P < 0.001). The average change in the BMI was higher in older individuals than in those who were younger. A high stress level was associated with a decrease in BMI (β = -0.04 P = 0.048). CONCLUSIONS: In this study, the factors associated with weight change after 1 yr of the pandemic in the Turkish population was reported for the first time. A high stress level and increased weight gain trend still occur in Turkey after 1 yr of the pandemic.

• Safety and Health at Work
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• v.13 no.1
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• pp.66-72
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• 2022

Background: The aim of the present study was to evaluate the psychological well-being (PWB) during the coronavirus disease (COVID-19) pandemic in workers of a multinational company. Methods: Employees (aged ≥18 years) were recruited from Latin American, North American, New Zealand, and European sites of a multinational company operative during all the pandemic period. The self-reported Psychological General Well-Being Index was used to assess the global PWB and the effects on six subdomains: anxiety, depressed mood, positive well-being, self-control, general health, and vitality. The influencing role of age, gender, geographical location, COVID-19 epidemiology, and restrictive measures adopted to control the pandemic was explored. Results: A total of 1335 workers completed the survey. The aggregate median PWB global score was in a positive range, with significantly better outcomes detected in the Mexican and Colombian Latin American sites compared with the other worldwide countries (p < 0.001). Among the European locations, a significantly higher PWB score was determined in Spain compared with the German and French sites (p < 0.05). Comparable geographical trends were demonstrated for all the PWB subdomains. Male workers had a significantly better PWB compared with females (p < 0.05), whereas a negative correlation emerged with aging (p = 0.01). COVID-19 epidemiology and pandemic control measures had no clear effects on PWB. Conclusion: Monitoring PWB and the impact of individual and pandemic-related variables may be helpful to clarify the mental health effects of pandemic, define targeted psychological-supporting measures, also in the workplace, to face such a complex situation in a more constructive way.

• Journal of the Korean Society of Food Culture
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• v.37 no.3
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• pp.265-277
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• 2022

This study investigated alterations in the health behaviors and eating habits due to the coronavirus disease 2019 (COVID-19) pandemic. An online survey was administered to 270 university students from September 22, 2021 to October 26, 2021. While the frequency of eating at home had increased during the COVID-19 pandemic compared to before the pandemic, there was a decrease in the frequency of eating out, drinking, and eating vegetables. However, the frequency of eating delivery, takeout, and convenience foods and the utilization of online shopping and delivery apps had considerably increased. In addition, when selecting menus, considerations of health, hygiene, and convenience were more important during the COVID-19 pandemic than before the COVID-19 pandemic. Physical activity more than 3 days a week had decreased, whereas sedentary time showed a proportionate increase. The percentage of people who perceived their health status to be worsening was determined to have increased during the COVID-19 pandemic. To prepare for the era of infectious diseases, future research needs to identify health behaviors and dietary problems by administering surveys that include a large sample size and participants of various ages. Moreover, health promotion and nutrition management plans should be prepared accordingly.

• Korean Medical Education Review
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• v.24 no.3
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• pp.231-239
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• 2022

This study aimed to examine the influence of the coronavirus disease 2019 (COVID-19) pandemic on areas of Korean medical students' lives, assess concerns, and investigate the strategies they used to cope with stress due to the pandemic. An online survey with a total of 53 items on the impact of COVID-19, concerns, and coping strategies was sent to medical students, and responses were collected from April 27, 2021 to May 30, 2021. In total, 1,329 students were included in the study. Analysis was performed using the chi-square test, independent-sample t-test, and one-way analysis of variance, and the post-hoc Scheffé test or Games-Howell test was performed for multiple comparisons. The main negative impacts of the pandemic were on hobbies/leisure activities and mental health, and medical students expressed the highest levels of concern regarding restriction of movement, returning to everyday life, and risk of infection for family and friends. Female students more strongly agreed that COVID-19 had increased their depressed mood and anxiety (p<0.001 and p=0.003, respectively). Furthermore, the negative impacts of the pandemic on different areas of life significantly affected current levels of depressed mood and anxiety. To cope with pandemic-related stress, students used several strategies such as talking with family or friends (91.5%), sleeping (83.1%), exercising (72.8%), using social networking services (60.8%), drinking alcohol (37.8%), and practicing meditation/mindfulness (24.4%); the effectiveness of these strategies ranged from 3.45 to 4.19 on a 5-point Likert-type scale (1-5). The study findings suggest that COVID-19 has influenced the mental health of medical students and raised concerns in many areas of their lives. Students used various strategies to cope with the pandemic-related stress; since the effectiveness of frequently used approaches varied, it is essential to guide medical students to develop effective coping strategies.

• Communications for Statistical Applications and Methods
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• v.29 no.5
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• pp.499-512
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• 2022

Intervention measures have been implemented worldwide to reduce the spread of the COVID-19 outbreak. The COVID-19 outbreak has occured in several waves of infection, so this paper is divided into three groups, namely those countries who have passed the pandemic period, those countries who are still experiencing a single-wave pandemic, and those countries who are experiencing a multi-wave pandemic. The purpose of this study is to develop a multi-wave Richards model with several changepoint detection methods so as to obtain more accurate prediction results, especially for the multi-wave case. We investigated epidemiological trends in different countries from January 2020 to October 2021 to determine the temporal changes during the epidemic with respect to the intervention strategy used. In this article, we adjust the daily cumulative epidemiological data for COVID-19 using the logistic growth model and the multi-wave Richards curve development model. The changepoint detection methods used include the interpolation method, the Pruned Exact Linear Time (PELT) method, and the Binary Segmentation (BS) method. The results of the analysis using 9 countries show that the Richards model development can be used to analyze multi-wave data using changepoint detection so that the initial data used for prediction on the last wave can be determined precisely. The changepoint used is the coincident changepoint generated by the PELT and BS methods. The interpolation method is only used to find out how many pandemic waves have occurred in given a country. Several waves have been identified and can better describe the data. Our results can find the peak of the pandemic and when it will end in each country, both for a single-wave pandemic and a multi-wave pandemic.