• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.59-70
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• 2024

Background: The COVID-19 pandemic (the form of coronaviruses) developed at the end of 2019 and spread rapidly to almost every corner of the world. It has infected around 25,334,339 of the world population by the end of September 1, 2020 [1] . It has been spreading ever since, and the peak specific to every country has been rising and falling and does not seem to be over yet. Currently, the conventional RT-PCR testing is required to detect COVID-19, but the alternative method for data archiving purposes is certainly another choice for public departments to make. Researchers are trying to use medical images such as X-ray and Computed Tomography (CT) to easily diagnose the virus with the aid of Artificial Intelligence (AI)-based software. Method: This review paper provides an investigation of a newly emerging machine-learning method used to detect COVID-19 from X-ray images instead of using other methods of tests performed by medical experts. The facilities of computer vision enable us to develop an automated model that has clinical abilities of early detection of the disease. We have explored the researchers' focus on the modalities, images of datasets for use by the machine learning methods, and output metrics used to test the research in this field. Finally, the paper concludes by referring to the key problems posed by identifying COVID-19 using machine learning and future work studies. Result: This review's findings can be useful for public and private sectors to utilize the X-ray images and deployment of resources before the pandemic can reach its peaks, enabling the healthcare system with cushion time to bear the impact of the unfavorable circumstances of the pandemic is sure to cause

• Health Policy and Management
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• v.30 no.1
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• pp.1-3
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• 2020

Coronavirus disease 2019 (COVID-19), which originated in Wuhan, China, is pandemic. It has occurred in more than 170 countries on six continents. In Korea, COVID-19's cases are more than 9,000. The reasons of pandemic COVID-19 are that COVID-19 can spread asymptomatic or early in symptoms although similar reproductive number to severe acute respiratory syndrome coronavirus (SARS), that there are more travelers in China and world than the SARS of 2003, and that the control of COVID-19 was contaminated to political considerations in China, World Health Organization (WHO), and Korea. Emerging infectious diseases such as COVID-19 will occur in the future. To prepare for control of emerging infectious disease, first, the Ministry of Health should be independent from Ministry of Health and Welfare and the department of disease management should be established. Second, experts for making evidence about the emerging infectious diseases should be trained and the plan that is the mobilization of manpower and facilities in large cases will be established. Third, the WHO should enhance its capacity to manage emerging infectious diseases and Korea will support the country of occurred emerging diseases through experts in the analysis of emerging infectious diseases.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.277-282
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• 2021

The generalization of social distancing due to the COVID-19 pandemic has rapidly spread non-face-to-face services, accelerating the speed of non-face-to-face digital conversion technology. The importance of telemedicine, a remote service, has been rekindled in the wearable technology including the medical industry. In a situation where it is not easy for any company to overcome the COVID-19 pandemic, it is a time when collaboration within the industry or between competitors is necessary. In addition to the digital-based online exhibition hall using AR-VR-MR technology, which is a major core technology of the future industry, virtual stores that can receive services such as actual shopping should be actively used. Paradoxically COVID-19 will provide new opportunities to reshape and reconnect the future of the textile and fashion industry. Therefore, the purpose of this study is to investigate the current status of wearable technology products being developed as fashion items for the prevention of COVID-19 and analyze their characteristics. This study results can be used as basic data for future research on the fashion industry and education.

• Korean Journal of Childcare and Education
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• v.17 no.2
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• pp.1-27
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• 2021

Objective: Covid-19 is changing many aspects of child care programs. The objective of this study was to explore how the pandemic and mitigation efforts affected the experiences and practices at child care centers in the summer of 2020. Methods: Focus group interviews and mobile surveys were conducted with principals and teachers of child care centers in August and September 2020. Descriptive statistics including frequency distributions, means and standard deviations and mean differences were used to analyze the survey data with SPSS 22.0. Results: It was found that each sector of child care settings experienced different difficulties and had various needs. Young children's lack of energy, child care teachers' workload and stress, and principles' efforts to interrupt transmission of the infectious disease based on insufficient government guideline and supports were revealed as the main experiences. Conclusion/Implications: The Covid-19 pandemic has had a tandem of influences on daily life at child care centers. As policy makers consider additional guidelines or supports measures to prevent the infection and spread of Covid-19 at child care centers, long-term as well as short-term plans at various levels should be considered to meet the unique needs of child care programs.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.523-531
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• 2021

Vietnam's Oil and gas industry make a significant contribution to the Gross Domestic Product of Vietnam. The ongoing COVID-19 pandemic has hit every industry hard, but perhaps the one industry which has taken the biggest hit is the global oil and gas industry. The purpose of this article is to examine how the COVID-19 pandemic affects the share price of the Vietnam Oil and Gas industry. The event study method applied to Oil and Gas industry index data around three event days includes: (i) The date Vietnam recognized the first patient to be COVID-19 positive was January 23, 2020; (ii) The second outbreak of COVID-19 infection in the community began on March 6, 2020; (iii) The date (30/3/2020) when Vietnam announced the COVID-19 epidemic in the whole territory. This study found that the share price of the Vietnam Oil and Gas industry responded positively after the event (iii) which is manifested by the cumulative abnormal return of CAR (0; 3] = 3.8% and statistically significant at 5 %. In the study, event (ii) has the most negative and strong impact on Oil and Gas stock prices. Events (i) favor negative effects, events (iii) favor positive effects, but abnormal return change sign quickly from positive to negative after the event date and statistically significant shows the change on investors' psychology.

• Journal of Information Science Theory and Practice
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• v.10 no.4
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• pp.23-37
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• 2022

The pandemic of Coronavirus disease (COVID-19) has contributed more challenges for mothers as the family's primary caregiver in overcoming the widespread infection. Pandemic-related information is essential for mothers to reduce uncertainty as well as to maintain the health of family members during this unprecedented situation. Adopting the framework of the Situational Theory of Problem Solving, this study extends the theory by, first, testing the mediating role of COVID-19 anxiety on mothers' information seeking and information forwarding, referred to as active communication action of problem solving, as well as preventive behavior; and second, by predicting the effect of information seeking on preventive behavior. Referring to an online survey from 371 Indonesian mothers, the findings suggest that in terms of direct effect, only problem recognition was found to have no significant effect on situational motivation. The results suggest that Indonesian mothers perceive COVID-19 as personally relevant so that they are motivated to solve the problem by seeking and forwarding related information. In addition, COVID-19 anxiety was found to play a significant role in predicting information seeking, information forwarding, and preventive behavior. The result of this study is expected to give insights for risk communicators and health professionals in Indonesia in communicating COVID-19, particularly to mothers.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.121-127
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• 2021

This study investigates the impact of the COVID-19 pandemic on exchange rates of the top ten currencies according to their trading value with Thailand by employing a regression analysis. Data includes daily number of COVID-19 cases - confirmed, new, deaths - and exchange rates against Thai Baht - CNY, JPY, USD, MYR, SGD, VND, IDR, AUD, HKD, TWD - which cover the period from January 2, 2020 to December 15, 2020. Results show that the confirmed cases of COVID-19 in Thailand relate to changes in all exchange rates; CNY, MYR, SGD, VND, AUD, and TWD have depreciated in relation to the THB, whereas JPY, USD, IDR, and HKD have appreciated. Furthermore, the new cases and deaths of COVID-19 have similar associations with almost all exchange rates. Deprecation of the JPY, USD, VND, HKD, and TWD in relation to the THB is due to new cases, on the contrary the MYR, IDR, and AUD have appreciated. Likewise, the JPY, USD, VND, and HKD have depreciated, but the CNY, MYR, SGD, and AUD have appreciated in relation to the THB owing to deaths cases. The study findings provide useful knowledge to manage an exchange rate risk for business and could help policymakers to improve the efficiency of exchange rate.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.1-9
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• 2021

This paper investigates the impact of the domestic and global outbreak of the coronavirus (COVID-19) pandemic on the trading size of the Malaysian stock (MS) market. The theoretical model posits that stock markets are affected by their response to disasters and events that arise in the international or local environments, as well as to several financial factors such as stock volatility and spread bid-ask prices. Using daily time-series data from 27 January to 12 May 2020, this paper utilizes the traditional Augmented Dickey and Fuller (ADF) technique and Zivot and Andrews with structural break' procedures for a stationarity test analysis, while the autoregressive distributed lag (ARDL) method is applied according to the trading size of the MS market model. The analysis considered almost all 789 listed companies investing in the main stock market of Malaysia. The results confirmed our hypotheses that both the daily growth in the active domestic and global cases of coronavirus (COVID-19) has significant negative effects on the daily trading size of the stock market in Malaysia. Although the COVID-19 has a negative effect on the Malaysian stock market, the findings of this study suggest that the COVID-19 pandemic may have an asymmetric effect on the market.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.83-93
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• 2021

COVID-19 poses a major risk to global health, highlighting the importance of faster and proper diagnosis. To handle the rise in the number of patients and eliminate redundant tests, healthcare information exchange and medical data are transmitted between healthcare centres. Medical data sharing helps speed up patient treatment; consequently, exchanging healthcare data is the requirement of the present era. Since healthcare professionals share data through the internet, security remains a critical challenge, which needs to be addressed. During the COVID-19 pandemic, computed tomography (CT) and X-ray images play a vital part in the diagnosis process, constituting information that needs to be shared among hospitals. Encryption and image steganography techniques can be employed to achieve secure data transmission of COVID-19 images. This study presents a new encryption with the image steganography model for secure data transmission (EIS-SDT) for COVID-19 diagnosis. The EIS-SDT model uses a multilevel discrete wavelet transform for image decomposition and Manta Ray Foraging Optimization algorithm for optimal pixel selection. The EIS-SDT method uses a double logistic chaotic map (DLCM) is employed for secret image encryption. The application of the DLCM-based encryption procedure provides an additional level of security to the image steganography technique. An extensive simulation results analysis ensures the effective performance of the EIS-SDT model and the results are investigated under several evaluation parameters. The outcome indicates that the EIS-SDT model has outperformed the existing methods considerably.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.943-952
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• 2021

The purpose of this study is to evaluate the effect of COVID-19 on corporate governance attributes and firm performance association. This research used a sample of 188 non-financial firms from the Malaysian market for the years 2019-2020. We found that the COVID-19 has affected all firm characteristics including firm performance, governance structure, dividend, liquidity, and leverage level, yet, the difference between prior and post COVID-19 pandemic is not significant. Also, the investigation revealed that board size exerts a significant positive impact on firm performance. After splitting the sample based on year, however, we found that board size does not matter in the uncertain time of the current crisis, while board diversity appeared to be significantly enhancing firm performance in the crisis time compared to the prior year where it has an inverse association with firm performance in both indicators. Board meetings and audit committee meetings seemed to have a significant negative influence on firm performance pre and post-COVID-19. This study contributes to the limited literature by providing the first empirical evidence on the impact of Coronavirus on the firm performance and corporate governance association.