• Genomics & Informatics
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• v.19 no.2
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• pp.15.1-15.7
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• 2021

The direction of evolution can estimate based on the variation among nonsynonymous to synonymous substitution. The simulative study investigated the nucleotide sequence of closely related strains of respiratory syndrome viruses, codon-by-codon with maximum likelihood analysis, z selection, and the divergence time. The simulated results, dN/dS > 1 signify that an entire substitution model tends towards the hypothesis's positive evolution. The effect of transition/transversion proportion, Z-test of selection, and the evolution associated with these respiratory syndromes, are also analyzed. Z-test of selection for neutral and positive evolution indicates lower to positive values of dN-dS (0.012, 0.019) due to multiple substitutions in a short span. Modified Nei-Gojobori (P) statistical technique results also favor multiple substitutions with the transition/transversion rate from 1 to 7. The divergence time analysis also supports the result of dN/dS and imparts substantiating proof of evolution. Results conclude that a positive evolution model, higher dN-dS, and transition/transversion ratio significantly analyzes the evolution trend of severe acute respiratory syndrome coronavirus 2, severe acute respiratory syndrome coronavirus, and Middle East respiratory syndrome coronavirus.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.1-8
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• 2019

Coronaviruses are known respiratory pathogens. In the past, most human coronaviruses were thought to cause mild symptoms such as cold. However recently, as seen in the Severe Acute Respiratory Syndrome (SARS) and the Middle East Respiratory Syndrome (MERS), infectious diseases with severe pulmonary disease and respiratory symptoms are caused by coronaviruses, making research on coronaviruses become important. Considering previous studies, we constructed 'HCoV-IMDB (Human Corona Virus Immune Database)' to systematically provide genetic information on human coronavirus and host immune information, which can be used to analyze the interaction between human coronavirus and host immune proteins. The 'HCoV-IMDB' constructed in the study can be used to search for genetic information on human coronavirus and host immune protein and to download data. A BLAST search specific to the human coronavirus, one of the database functions, can be used to infer genetic information and evolutionary relationship about the query sequence.

• Journal of The Korea Institute of Healthcare Architecture
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• v.25 no.1
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• pp.41-49
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• 2019

Purpose: After Mers breakout in 2015, major hospital in Korea have been renovated the emergency department to make a separate infection control zone for high-risk patient with potential infection and to improve a triage area and an entrance area for efficient patient evaluation. However, there are no specific design standards to reinforce infection control for patients and staffs safety. Therefore, it is important to establish of initial design factors in the triage and entrance area as a guideline. Methods: 5 cases which had been recently renovated are selected to analyze patient circulation and spatial composition in a triage area and an entrance area. The partial floor plans of each case are represented as bubble diagrams to help understanding of different patient circulation flows. Based on this analysis, significant design factors which should be considered in planning stage for infection control have been extracted. Results: 13 design factors are established. Using these design factors, patient circulation diagram is generated to provide an optimized suggestion for efficient infection control. Implications: This suggestion provides basic databases to start to establish design guideline in the triage area and the entrance area to minimize infection spreading in the emergency department.

• Journal of The Korea Institute of Healthcare Architecture
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• v.25 no.2
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• pp.27-35
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• 2019

Purpose: This study is to address the spacial composition of a standard ward and bedroom size for sake of infection control and efficient medical service. Methods: Spacial composition of a standard ward has been proposed by comparative analysis of 5 big hospitals' wards. Bedroom sizes have been explored on the ground of Health care facility regulations from Korea, USA, Australia and Canada. Of course, Literature and field survey have been conducted in order to draw out various bedroom sizes. Results: 16 basic and some other additional spaces have been proposed for the composition of hospital standard ward. Area of Single bedroom is $11.6m^2$, and that of multi-beded room is $7.4m^2$. Bed to bed Clearance is 1.5m, spacing between bedsize and hard wall is 0.9m in 1~2 beded room, 0.75m in 4-beded room. Space clearance between Foot side of bed and curtain is proposed as 0.3m and additional 0.9m is necessary for the circulation. Implications: The result of this study can be applied to the new cons.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.59-66
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• 2020

In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing on the number of inbound or outbound tourists. In order to forecast tourism demand, we use a seasonal ARIMA (SARIMA) model, as well as a SARIMAX model which additionally comprises an exogenous variable affecting the dependent variable, i.e., tourism demand. For constructing the forecasting model, we use a search procedure that can be used to determine the values of the orders of the SARIMA and SARIMAX. For the exogenous variable, we introduce factors that could cause the tourism demand reduction, such as the 9/11 attack, the SARS and MERS epidemic, and the deployment of THAAD. In this study, we propose a procedure, called Measuring Impact on Demand (MID), where the impact of each factor on tourism demand is measured and the value of the exogenous variable corresponding to the factor is determined based on the measurement. To show the performance of the proposed forecasting method, an empirical analysis was conducted where the monthly number of foreign visitors in 2019 were forecasted. It was shown that the proposed method can find more accurate forecasts than other benchmarks in terms of the mean absolute percentage error (MAPE).

• Biomedical Science Letters
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• v.27 no.4
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• pp.283-290
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• 2021

Severe acute respiratory syndrome coronavirus (SARS-CoV2) is a major coronavirus that infects humans with human Coronavirus (HuCoV)-229E, HCoV-OC43, HCoV-HKU1, HCoV-NL63, Severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle east respiratory syndrome coronavirus (MERS-CoV). SARS-CoV2 is currently a global pandemic pathogen. In this study, we developed conventional RT-PCR based diagnostic system for the detection of SARS-CoV2 which is relatively inexpensive but has high stability and a wide range of users. Three conventional RT-PCR primer sets capable of forming specific band sizes by targeting the ORF1ab [232 nucleotide (nt)], E (200 nt) and N (288 nt) genes of SARS-CoV2 were developed, respectively, and it were confirmed to be about 10~100 times higher detection sensitivity than the previously reported methods. In addition, a standard positive control that can generate specific amplicons by reacting with the developed RT-PCR primers and verify the false-positiv from contamination of the laboratory was produced. Therefore, the diagnostic system that uses the RT-PCR method is expected to be used to detect SARS-CoV2.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.73-87
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• 2021

The COVID-19 pandemic has brought about many changes in our daily lives and in industries as a whole. The most notable change was the spread of the untact culture to minimize face-to-face contact. The spread of the untact culture has changed the use of public transportation. Looking at the results of previous SARS and MERS studies, it was found that as the pandemic spreads, the use of public transportation decreased. Recently, the mobility sharing service is attracting attention as a personalized means of transportation instead of public transportation. Therefore, in this study, the factors affecting the intention to use the mobility sharing service were to be identified by the actual users. In this study, economic benefit, convenience, sustainability, and sense of belonging were set as independent variables based on previous studies. In addition, the relationship between the perceived usefulness and perceived pleasure of these factors of use on intention to use was empirically analyzed through PLS-SEM. As a result of the study, it was found that economic benefits, convenience, sustainability, and sense of belongingness had a significant effect on intention to use through perceived usefulness and enjoyment. This study was meaningful in that it was verified through the study that economic benefits, convenience, sustainability, and a sense of belongingness were significant variables affecting the intention to use through usefulness and pleasure.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.204-210
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• 2022

From the 1970s to the present, the number of new infectious diseases such as SARS, Ebola virus, and MERS has steadily increased. The new infectious disease, COVID-19, which began in Wuhan, Hubei Province, China, has pushed the world into a pandemic era. As a result, Countries imposed restrictions on entry to foreign countries due to concerns over the spread of COVID-19, which led to a decrease in the movement of tourists. Due to the restriction of travel, keywords such as "Corona blue" have soared and depression has increased. Therefore, this study aims to analyze the stress meaning network of the COVID-19 era to derive keywords and come up with a plan for a travel-related platform of the Post-COVID 19 era. This study conducted analysis of travel and stress caused by COVID-19 using TEXTOM, a big data analysis tool, and conducted semantic network analysis using UCINET6. We also conducted a CONCOR analysis to classify keywords for clustering of words with similarities. However, since we have collected travel and stress-oriented data from the start to the present, we need to increase the number of analysis data and analyze more data in the future.

• Food Science and Industry
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• v.55 no.3
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• pp.244-263
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• 2022

Coronavirus, known as one of the causes of colds including mild upper respiratory tract disease in humans, has mutated into the infectious severe disease, COVID-19 through SARS and MERS. The mortality and symptoms of COVID-19 are related to the ability to regulate innate immunity, which acts as the first barrier against microorganisms and viruses. During the COVID-19 pandemic, the demand for food that helps to strengthen immunity is rapidly increasing. Functional foods promote general health and alleviate the risk of disease symptoms by activating multiple biological functions. A recent, there is an interest in discovering functional substances that can induce enhancement of immunity and prevent viral infection as well as relieve disease symptoms. Therefore, this article focus to understand the concept of immune response and highlights the recent status of functional foods and research trends that can help prevent and treat viral infections by inducing the enhancement of immune function.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.1
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• pp.43-56
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• 2023

The aviation industry has continued to grow despite the influence of external environmental factors such as SARS and MERS. However, this growth has led to a sharp decrease in air traffic and a crisis of flight suspension due to the collapse of the global value chain and the decline of the world economy as the World Health Organization (WHO) declared a COVID-19 pandemic. Due to the decrease in the number of international flights, aviation workers such as pilots and cabin crew were exposed to high psychological stress and fatigue, such as large-scale layoffs, job instability, decrease in income, and increased risk of infection during. Recently, the international community has eased immigration restrictions through quarantine activities, and airlines are taking a step further to recover existing air demand. However, during the crisis period, a significant number of professional workers have been turned off or fired, and the physical and mental fatigue of those who can perform their duties is increasing. Therefore, this paper intends to examine the direction of policy improvement and the identification of problems in aviation safety and fatigue management after the pandemic.