• 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.

• CELLMED
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• v.10 no.4
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• pp.29.1-29.6
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• 2020

COVID-19 (Corona Virus Disease-2019) is an infectious respiratory disease caused by the most recently discovered coronavirus, SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona virus-2). This new viral disease was unknown before the outbreak began in Wuhan, China, in December 2019. As of November 16th 2020, it affects about 54.3 million populations, death troll increased to 1.32 million cases in worldwide. Whereas in India 8.85 cases are infected with COVID-19, of which 1, 30, 112 cases were died. Till now there has been no specific anti-virus drug or vaccines are available for the treatment of this disease, the supportive care and non-specific treatment to the symptoms of the patient are the only options in Biomedicine, the entire world turns its attention towards alternative medicine or Traditional medicine. Siddha medicine is one of the primordial systems of medicine practiced in the southern part of India, it dealt a lot about pandemic, and its management. This review provides an insight into Pandemic in Siddha system and its management in both ancient history and modern history, National and state level Government policies related to current pandemic, World Health Organization (WHO) guidelines on usage of unproven drug during infectious disease outbreak, Preparedness of Siddha system during a pandemic outbreak Challenges and Recommendations.

• Current Optics and Photonics
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• v.4 no.6
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• pp.566-570
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• 2020

The present paper computes the refractive indices of different corona viruses (H5N1, H5N2, H9N2, H4N6, FAdV and IBV) through reflectance analysis of a virus solution. The computational analysis indicates that the refractive indices of all viruses are negative at the signal of 412 nm. Further the numerical output shows that the infectious bronchitis viruses (family of novel corona viruses, COVID-19) have higher negative refractive indices as compared to other corona viruses. Finally refractive indices of the family of COVID-19 are investigated with respect to the EID (Electronic infusion Device) concentration of the viruses, showing that the refractive index which ranges from "-0.96725 to -0.999998" corresponds to '0.01 to 10000' EID virus concentration.

• Sleep Medicine and Psychophysiology
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• v.29 no.2
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• pp.29-34
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• 2022

Coronavirus disease 2019 (COVID-19), which was a global pandemic caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), is still a serious public health problem. COVID-19 causes various symptoms not only in the respiratory system but also in various parts of the body and has a significant effect on sleep. Insomnia and poor sleep quality were observed at high rates in patients with COVID-19 as well as in the uninfected general population. Obstructive sleep apnea is also considered a risk factor in patients with severe COVID-19. Virus-induced central nervous system damage is likely to be the cause of many sleep disorders in COVID-19, but psychosocial influences also seem to have played a significant role. Sleep problems persisted at high rates for a considerable period after the infection phase was over. More attention and research on the effect of COVID-19 on sleep is needed in the future.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.539-545
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• 2020

This study was designed to find out the efficacy of college students' lecture participation in online real-time lectures conducted at university due to the Corona virus events. Participants in this study are 701 students attending the W University in the J region and participating in real-time online lectures. The tools of this study consisted of four factors: interaction, learning improvement, adaptation, and accessibility. The results of this study are as follows: First, accessibility is the highest efficacy among college students' real-time online lectures participation and interaction is the lowest. Second, the efficacy of real-time online lecture participation of university students differed according to gender, grade, major, and access devices. This study is meaningful in that it confirmed the applicability of real-time online teaching method due to corona virus and confirmed the applicability of real-time online teaching as a method to prepare for the arrival of full-scale distance education in the post-Corona era. Lastly, it was suggested that the online class management method and support for each college major reflect the changes of the times.

• Korean journal of aerospace and environmental medicine
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• v.30 no.3
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• pp.95-99
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• 2020

Coronavirus disease 2019 (COVID-19) reduces airline passengers, which leads to a sharp decline in airline sales. They are concerned about the dismissal or unpaid leave of the flight pilot and crew, and the management of the passengers is also under great stress. Stress management methods for COVID-19 can be divided into general stress management such as 'Let's change me', 'Let's find the source of life', and 'Let's ask for help', and mental health management in a disaster situation.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.192-200
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• 2021

In the mid of the December 2019, the virus has been started to spread from China namely Corona virus. It causes fatalities globally and WHO has been declared as pandemic in the whole world. There are different methods which can fit such types of values which obtain peak and get flattened by the time. The main aim of the paper is to find the best or nearly appropriate modeling of such data. The three different models has been deployed for the fitting of the data of Coronavirus confirmed patients in Pakistan till the date of 20^th November 2020. In this paper, we have conducted analysis based on data obtained from National Institute of Health (NIH) Islamabad and produced a forecast of COVID-19 confirmed cases as well as the number of deaths and recoveries in Pakistan using the Logistic model, Gompertz model and Auto-Regressive Integrated Moving Average Model (ARIMA) model. The fitted models revealed high exponential growth in the number of confirmed cases, deaths and recoveries in Pakistan.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.170-171
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• 2021

Experts predict that even after the COVID-19 virus is completely over, it will be difficult to return to the pre-COVID state. As the non-face-to-face trend continued due to the prolonged COVID-19 crisis, sports activities were contracted and the amount of exercise of the people decreased. Demand for non-face-to-face services is increasing as the use of multi-use facilities is gradually restricted due to the higher level of social distancing. This study examines the actual conditions of participation in life sports and considers ways to revitalize sports for life suitable for the post-corona.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.339-346
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• 2022

Corona-virus(COVID-19), which has affected the world economy and Korea economy widely since 2020 could have an effect on management future perspectives. Thus this paper investigate whether the effect of COVID-19 pandemic on cost stickiness is contingent on operating uncertainty. By using the sample listed in KOSPI and KOSDAQ from 2018 to 2020. I find that COVID-19 increase cost stickiness when sales growth volatility is low. This paper contribute to the literature by providing the empirical evidence which contains that the effect of COVID-19 on cost stickiness varies with operating uncertainty.