• 적정기술학회지
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• 제7권2호
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• pp.216-224
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• 2021

코로나19 확산은 전 세계 인구, 보건체계, 경제, 사회문화에 전례 없는 영향을 미치고 있으며, 국제사회는 코로나19를 극복하고자 보건의료기술 개발 및 접근성 제고를 위해 연대하고 있다. 본 고는 보건의료기술 접근성을 저해하는 장애물에 대한 이론적 틀을 기반으로 감염병 다자기구 및 코로나19 보건의료기술 접근성 제고를 위한 ACT-A 사업을 검토한다. 연구 결과, 첫째, 국제사회는 필요한 기술의 부재를 극복하기 위해 선시장공약, 백신채권, Covax Facility 등을 시행하고 있으며, 둘째, 존재하는 기술이 접근가능하지 않는 장애물을 극복하기 위해 공동조달메커니즘, 의약품특허풀 등을 시행하고 있으며, 셋째, 기술이 수용되지 않는 장애물을 극복하기 위해 인력역량 강화 등을 포함하는 보건체계 강화를 지원하고 있음을 발견하였다. 이를 바탕으로 실무적·학술적 향후 과제로써 기추진중인 한국 공적개발원조 사업과 감염병 다자기구 및 ACT-A 사업과의 연계 가능성을 검토하여 더욱 활발하게 협력할 필요가 있다.

• Asian Journal for Public Opinion Research
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• 제10권4호
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• pp.316-339
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• 2022

The effects of the COVID-19 pandemic across various sectors are far-reaching, and the education sector is not an exemption. Approved and recognized vaccines are clinically proven to provide protection and have been considered one of the primary mitigations against the virus. Knowledge, attitude, and related practices (henceforth KAP) toward the virus is widely considered to be an essential cognitive key in public health for health intervention, prevention, and promotion. Previous studies revealed a positive correlation between knowledge and attitude. This study investigated the KAP and their relationship among the 857 college students in one state college in the Philippines using an online survey. Using descriptive statistics, the findings showed that the majority of the respondents have been fully vaccinated against COVID-19. Respondents were shown to be knowledgeable about COVID-19, specifically about its transmission, clinical symptoms, treatment, risk groups, isolation, prevention, and control. Positive attitudes toward individual and governmental mitigation and control of the virus were shown. Their scores on practices revealed that they always exhibit protective and preventive behavioral practices. Pearson correlation revealed a weak significant relationship between knowledge and practice, and a fair significant relationship between attitude and practice. No significant relationship is found between knowledge and attitude. This study hopes to find its place in the literature worthy of consideration as empirical support toward understanding a specific group's perceptive risk and preventive behavior toward the virus, policy making, and health intervention and promotion.

• The Journal of Asian Finance, Economics and Business
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• 제9권7호
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• pp.239-247
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• 2022

Maintaining and expanding brand equity is regarded as an essential component of brand development. Effective management of brand equity leads to more opportunities for brand extension and the ability to draw in more customers. Brand equity, in particular, has a positive impact on consumer purchase intention. The purpose of this study is to look into the relationships between brand equity and consumption intention from the perspective of Vietnamese customers of India's COVID-19 vaccine products. Primary data is aggregated from 475 Vietnamese citizens with different occupations and backgrounds 18 years of age or older. The findings of the study show that consumption intention is positively inspired by brand equity, including brand association and brand quality. If consumers perceive high brand equity, it will have a higher impact on promoting consumption intention to the brand. India's COVID-19 vaccine needs to invest more in building brand equity in the Vietnamese market if it wants to increase the consumption choices of Vietnamese people. To create a good brand association and brand quality for India's COVID-19 vaccine, it is necessary to focus on communicating the good properties of the Indian-made vaccine such as safe, high protective effect, high immunity and protection, and long duration of immunity of vaccines.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.357-366
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• 2022

Many factors influence brand trust, including manufacturer prestige, product value and quality, country of origin, media marketing, experience, and brand relationship. The purpose of this study is to assess the impact of the nation of origin on brand trust, using Vietnam as a case study for India's COVID-19 vaccine. A total of 407 Vietnamese people aged 18 and up participated in the survey. The findings of the study show that the nation of origin has a significant impact on brand trust. Specifically, the perceived country image has a negative effect on brand trust, the other two components of the country of origin are perceived value and perceived quality of product have a positive impact on brand trust in India's COVID-19 vaccine. Research results show that if the perceived country image of the country of production is perceived negatively, then there will be a negative impact on brand trust. According to research findings, people in Vietnam who are 30 years old or older, have steady occupations, know about India, have used Indian products in the past, and have strong brand trust in India's COVID-19 vaccinations. India needs to boost its country's image and develop communication to increase brand trust in Vietnam.

• Clinical and Experimental Vaccine Research
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• 제12권2호
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• pp.127-133
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• 2023

Purpose: Around 70% of the Iranian population had received two doses of coronavirus disease 2019 (COVID-19) vaccines by the end of 2021. In this study, we evaluated the reasons for vaccination refusal among people in Ahvaz, Iran. Materials and Methods: In this cross-sectional study, 800 participants (400 vaccinated and 400 unvaccinated) were recruited. A demographic questionnaire was completed through interviews. The unvaccinated participants were asked about the reasons for their refusal. The Shapiro-Wilk test, independent t-test, chi-square test, and logistic regression were used for analyzing data. Results: Older people were 1.018 times more likely to refrain from vaccination (95% confidence interval [CI], 1.001-1.039; p=043). People who were manual workers as well as those who were unemployed/housewives were 0.288 and 0.423 times less likely to receive vaccination, respectively. Those with high school education and married women were 0.319 and 0.280 times less likely to receive vaccination, respectively (95% CI, 198-0.515; p<0.001; 95% CI, 0.186-0.422; p<0.001). Participants who had hypertension or suffered from neurological disorders were more likely to receive the vaccination. Finally, people affected with severe COVID-19 infection were 3.157 times more likely to get vaccinated (95% CI, 1.672-5.961; p<0.001). Conclusion: The results of this study showed that lower level of education and older age were contributed to reluctance for vaccination, while having chronic diseases or being already infected with severe COVID-19 infection were associated with more acceptance of vaccination.

• 셀메드
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• 제10권4호
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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.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.132-138
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• 2020

Worldwide, the number of corona virus disease 2019 (COVID-19) confirmed cases is rapidly increasing. Although vaccines and treatments for COVID-19 are being developed, the disease is unlikely to disappear completely. By attaching a smart sensor to the respirator worn by medical staff, Internet of Things (IoT) technology and artificial intelligence (AI) technology can be used to automatically detect the medical staff's infection symptoms. In the case of medical staff showing symptoms of the disease, appropriate medical treatment can be provided to protect the staff from the greater risk. In this study, we design and develop a system that detects cough, a typical symptom of respiratory infectious diseases, by applying IoT technology and artificial technology to respiratory protection. Because the cough sound is distorted within the respirator, it is difficult to guarantee accuracy in the AI model learned from the general cough sound. Therefore, coughing and non-coughing sounds were recorded using a sensor attached to a respirator, and AI models were trained and performance evaluated with this data. Mel-spectrogram conversion method was used to efficiently classify sound data, and the developed cough recognition system had a sensitivity of 95.12% and a specificity of 100%, and an overall accuracy of 97.94%.

• Journal of Microbiology and Biotechnology
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• 제30권12호
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• pp.1843-1853
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• 2020

COVID-19, caused by the novel coronavirus SARS-CoV-2, has spread globally and caused serious social and economic problems. The WHO has declared this outbreak a pandemic. Currently, there are no approved vaccines or antiviral drugs that prevent SARS-CoV-2 infection. Drugs already approved for clinical use would be ideal candidates for rapid development as COVID-19 treatments. In this work, we screened 1,473 FDA-approved drugs to identify inhibitors of SARS-CoV-2 infection using cell-based assays. The antiviral activity of each compound was measured based on the immunofluorescent staining of infected cells using anti-dsRNA antibody. Twenty-nine drugs among those tested showed antiviral activity against SARS-CoV-2. We report this new list of inhibitors to quickly provide basic information for consideration in developing potential therapies.

• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.32-42
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• 2023

There are serious problems worldwide, such as a pandemic due to an unprecedented infection caused by COVID-19. On previous approaches, they invented medical vaccines and preemptive testing tools for medical engineering. However, it is difficult to access poor medical systems and medical institutions due to disparities between countries and regions. In advanced nations, the damage was even greater due to high medical and examination costs because they did not go to the hospital. Therefore, from a software engineering-based perspective, we propose a learning model for determining coronavirus infection through symptom data-based software prediction models and tools. After a comparative analysis of various models (decision tree, Naive Bayes, KNN, multi-perceptron neural network), we decide to choose an appropriate decision tree model. Due to a lack of data, additional survey data and overseas symptom data are applied and built into the judgment model. To protect from thiswe also adapt human normalization approach with traditional Korean medicin approach. We expect to be possible to determine coronavirus, flu, allergy, and cold without medical examination and diagnosis tools through data collection and analysis by applying decision trees.

• 대한의생명과학회지
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• 제28권4호
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• pp.211-222
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• 2022

After more than two years of efforts to end the corona pandemic, a gradual recovery is starting in countries with high vaccination rates. Easing public health policies for a full-fledged post-corona era, such as lifting the mandatory use of outdoor mask and quarantine measures in entry have been considered in Korea. However, the continuous emergence of new variants of SARS-CoV-2 and limitations in vaccine efficacy still remain challenging. Fortunately, T cells and memory T cells, which are key components of adaptive immunity appear to contribute substantially in COVID-19 control. SARS-CoV-2 specific CD4⁺/CD8⁺ T cells are induced by natural infection or vaccination, and rapid induction and activation of T cells is mainly associated with viral clearance and attenuated clinical severity. In addition, T cell responses induced by recognition of a wide range of epitopes were minimally affected and conserved against the highly infectious subsets of omicron variants. Polyfunctional SARS-CoV-2 specific T cell memory including stem cell-like memory T cells were also developed in COVID-19 convalescent patients, suggesting long lasting protective T cell immunity. Thus, a robust T-cell immune response appears to serve as a reliable and long-term component of host protection in the context of reduced efficacy of humoral immunity and persistent mutations and/or immune escape.