• Title/Summary/Keyword: vaccine for coronavirus

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Exploring the underlying factors of COVID-19 vaccination hesitancy in Ahvaz, Iran: a comprehensive cross-sectional study

  • Poorandokht Afshari;Seyed Mohammad Alavi;Parvin Abedi;Maryam Beheshtinasab;Shohreh Dashtpayma;Homayon Amiri
    • Clinical and Experimental Vaccine Research
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    • v.12 no.2
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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.

Rhabdomyolysis Following SARS-CoV-2 Infection in Children: A Case Report and Systematic Review

  • Na-Won Oh;Si-Hwa Gwag;Kyu Sik Cho;Young June Choe
    • Pediatric Infection and Vaccine
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    • v.31 no.1
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    • pp.136-139
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    • 2024
  • Rhabdomyolysis is a syndrome that causes various complications due to the release of substances from muscle cells, often associated with preceding infectious diseases. We report the case of a 7-year-old Korean boy with recent severe acute respiratory syndrome coronavirus 2 infection, presenting with fever, chills, and generalized body aches, diagnosed as rhabdomyolysis. Additionally, we conducted a systematic review with the aim of delineating the disease spectrum, treatment, and outcomes. We identified seven reports that met the inclusion criteria. Among the cases, 5 had fever, with creatine kinase levels ranging from 3,717 and 274,664 IU/L. Two individuals received treatment in intensive care unit, 2 underwent renal replacement therapy, and 1 case has deceased. For children with coronavirus disease 2019 infection and muscle pain, a thorough examination of urine color and an assessment of muscle enzymes through blood tests can help diagnose and treat rhabdomyolysis, a condition that might otherwise be overlooked.

Delphi Survey for COVID-19 Vaccination in Korean Children Between 5 and 11 Years Old (국내 5-11세 소아의 코로나19 백신 접종에 대한 델파이 연구)

  • Choe, Young June;Lee, Young Hwa;Choi, Jae Hong
    • Pediatric Infection and Vaccine
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    • v.29 no.1
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    • pp.37-45
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    • 2022
  • Purpose: During the coronavirus disease 2019 (COVID-19) pandemic, we conducted a Delphi survey that included the experts from the field of COVID-19 immunization in children aged 5-11 years. The aim was to organize collective expert opinions on COVID-19 vaccination in young children in the Republic of Korea, and so thus assist the vaccination policy. Methods: The panels included pediatric infectious disease specialists, preventive medicine experts, infectious disease physicians, and COVID-19 vaccine experts consulting the Ministry of Health and Welfare. The Delphi survey was conducted online using a questionnaire from February 14 to February 27, 2022. Results: The Delphi panels agreed that children were vulnerable to COVID-19, and the severity of illness was modest. Furthermore the panels reported that children with chronic illness were more susceptible to a worsening clinical course. There were generally positive opinions on the effectiveness of COVID-19 vaccination in children aged 5-11 years, and experts gathered a slightly positive opinion that the adverse events of pediatric COVID-19 were not numerous. The benefits of COVID-19 vaccination were evaluated at a level similar to the potential risks in children. Currently, the only approved mRNA platform vaccine in children seemed to be sustainable; however, the recombinant protein platform COVID-19 vaccines were evaluated as better options. Conclusions: Due to the surge of the Omicron variant and an increase in pediatric cases, the COVID-19 vaccination in young children may have to be considered. Panels had neutral opinions regarding the COVID-19 vaccination in children aged 5-11 years. Thus monitoring of the epidemiology and the data about the safety of COVID-19 vaccination should be continued.

Implication of microRNA as a potential biomarker of myocarditis

  • Oh, Jin-Hee;Kim, Gi Beom;Seok, Heeyoung
    • Clinical and Experimental Pediatrics
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    • v.65 no.5
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    • pp.230-238
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    • 2022
  • Myocarditis was previously attributed to an epidemic viral infection. Additional harmful reagents, in addition to viruses, play a role in its etiology. Coronavirus disease 2019 (COVID-19) vaccine-induced myocarditis has recently been described, drawing attention to vaccine-induced myocarditis in children and adolescents. Its pathology is based on a series of complex immune responses, including initial innate immune responses in response to viral entry, adaptive immune responses leading to the development of antigen-specific antibodies, and autoimmune responses to cellular injury caused by cardiomyocyte rupture that releases antigens. Chronic inflammation and fibrosis in the myocardium eventually result in cardiac failure. Recent advancements in molecular biology have remarkably increased our understanding of myocarditis. In particular, microRNAs (miRNAs) are a hot topic in terms of the role of new biomarkers and the pathophysiology of myocarditis. Myocarditis has been linked with microRNA-221/222 (miR-221/222), miR-155, miR-10a*, and miR-590. Despite the lack of clinical trials of miRNA intervention in myocarditis yet, multiple clinical trials of miRNAs in other cardiac diseases have been aggressively conducted to help pave the way for future research, which is bolstered by the success of recently U.S. Food and Drug Administration-approved small-RNA medications. This review presents basic information and recent research that focuses on myocarditis and related miRNAs as a potential novel biomarker and the therapeutics.

An analysis of the waning effect of COVID-19 vaccinations

  • Bogyeom Lee;Hanbyul Song;Catherine Apio;Kyulhee Han;Jiwon Park;Zhe Liu;Hu Xuwen;Taesung Park
    • Genomics & Informatics
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    • v.21 no.4
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    • pp.50.1-50.9
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    • 2023
  • Vaccine development is one of the key efforts to control the spread of coronavirus disease 2019 (COVID-19). However, it has become apparent that the immunity acquired through vaccination is not permanent, known as the waning effect. Therefore, monitoring the proportion of the population with immunity is essential to improve the forecasting of future waves of the pandemic. Despite this, the impact of the waning effect on forecasting accuracies has not been extensively studied. We proposed a method for the estimation of the effective immunity (EI) rate which represents the waning effect by integrating the second and booster doses of COVID-19 vaccines. The EI rate, with different periods to the onset of the waning effect, was incorporated into three statistical models and two machine learning models. Stringency Index, omicron variant BA.5 rate (BA.5 rate), booster shot rate (BSR), and the EI rate were used as covariates and the best covariate combination was selected using prediction error. Among the prediction results, Generalized Additive Model showed the best improvement (decreasing 86% test error) with the EI rate. Furthermore, we confirmed that South Korea's decision to recommend booster shots after 90 days is reasonable since the waning effect onsets 90 days after the last dose of vaccine which improves the prediction of confirmed cases and deaths. Substituting BSR with EI rate in statistical models not only results in better predictions but also makes it possible to forecast a potential wave and help the local community react proactively to a rapid increase in confirmed cases.

Application of Program Theory and Logic Model to Evaluate Immunization Disparity Program for Children under 3 Years

  • Chung, Jee In
    • Health Policy and Management
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    • v.32 no.3
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    • pp.272-281
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    • 2022
  • With the outbreak of coronavirus disease 2019 (COVID-19) pandemic, health policymakers are adopting new policies regarding the issue of immunization disparities, especially for children in low-income communities of color who lack awareness and thereby access to vaccines. The purpose of this paper is to propose an evaluation framework using program theory-based evaluation approach and logic model to analyze and evaluate the immunization disparities in children aged 19-35 months. Data is collected from New York City department of Health and the U.S. Census Bureau for Northern Manhattan Start Right Coalition program which consists of 19,800 children, and the community-provider partnership includes 26 practices and 20 groups. Program theory is used to evaluate this community-based initiative with the logic model which is a visual depiction that illustrations the program theory to all stakeholders. The logic model highlights the resources, activities, outputs, outcomes, and impacts of the program to guide to planners and evaluators and to call attention to the inadequacies or flaws in the operational, implementation and service delivery process of the program in offering a new perspective on the program. This framework adds to the literature on evaluations of immunization disparities in determining whether evaluators can definitively attribute positive immunization outcomes in the community to the program and conclude whether it has potential in expanding or duplicating it to other similar settings, especially in other rural areas of the United States, and abroad, where routine immunization equity gaps are wide due to income, racial and ethnic diversity, and language barrier.

OPTIMAL CONTROL STRATEGY TO COMBAT THE SPREAD OF COVID-19 IN ABSENCE OF EFFECTIVE VACCINE

  • BISWAS, M.H.A.;KHATUN, M.S.;ISLAM, M.A.;MANDAL, S.;PAUL, A.K.;ALI, A.
    • Journal of applied mathematics & informatics
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    • v.40 no.3_4
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    • pp.633-656
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    • 2022
  • Many regions of the world are now facing the second wave of boomed cases of COVID-19. This time, the second wave of this highly infectious disease (COVID-19) is becoming more devastating. To control the existing situation, more mass testing, and tracing of COVID-19 positive individuals are required. Furthermore, practicing to wear a face mask and maintenance of physical distancing are strongly recommended for everyone. Taking all these into consideration, an optimal control problem has been reformulated in terms of nonlinear ordinary differential equations in this paper. The aim of this study is to explore the control strategy of coronavirus-2 disease (COVID-19) and thus, minimize the number of symptomatic, asymptomatic and infected individuals as well as cost of the controls measures. The optimal control model has been analyzed analytically with the help of the necessary conditions of very well-known Pontryagin's maximum principle. Numerical simulations of the optimal control problem are also performed to illustrate the results.

A Study on Methods to Prevent the Spread of COVID-19 Based on Machine Learning

  • KWAK, Youngsang;KANG, Min Soo
    • Korean Journal of Artificial Intelligence
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    • v.8 no.1
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    • pp.7-9
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    • 2020
  • In this paper, a study was conducted to find a self-diagnosis method to prevent the spread of COVID-19 based on machine learning. COVID-19 is an infectious disease caused by a newly discovered coronavirus. According to WHO(World Health Organization)'s situation report published on May 18th, 2020, COVID-19 has already affected 4,600,000 cases and 310,000 deaths globally and still increasing. The most severe problem of COVID-19 virus is that it spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, which occurs in everyday life. And also, at this time, there are no specific vaccines or treatments for COVID-19. Because of the secure diffusion method and the absence of a vaccine, it is essential to self-diagnose or do a self-diagnosis questionnaire whenever possible. But self-diagnosing has too many questions, and ambiguous standards also take time. Therefore, in this study, using SVM(Support Vector Machine), Decision Tree and correlation analysis found two vital factors to predict the infection of the COVID-19 virus with an accuracy of 80%. Applying the result proposed in this paper, people can self-diagnose quickly to prevent COVID-19 and further prevent the spread of COVID-19.

Improved Symptoms of Peripheral Facial Nerve Palsy in ChAdOx1 nCoV-19 Vaccine Recipients Following Complex Korean Medicine Treatment

  • Jang, Woo Seok;Jang, Jung Eun;Jung, Chan Yung;Kim, Kyung Ho
    • Journal of Acupuncture Research
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    • v.39 no.2
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    • pp.139-144
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    • 2022
  • Peripheral facial nerve palsy is a neurological condition/disease characterized by unilateral paralysis of the facial muscles. We report the effects of complex Korean medicine treatment in 2 patients diagnosed with Bell's palsy who developed symptoms 3-4 days following vaccination with ChAdOx1 nCoV-19 and who received oral steroids and antiviral medications. Complex Korean medicine treatments including acupuncture, electroacupuncture, bee venom acupuncture, cupping therapy, herbal medicine, and physical therapy were performed. Symptom improvement was evaluated daily using the Numerical Rating Scale, House-Brackmann Grade, and Yanagihara's Score. Patient 1 was hospitalized for 22 days and Patient 2 visited the outpatient clinic 20 times. In both cases, postauricular pain caused by Bell's palsy disappeared, and symptoms of facial paralysis improved following completion of treatment. These findings could suggest that combined Korean medicine treatment may improve symptoms of peripheral facial nerve palsy.

Development of mRNA Vaccines/Therapeutics and Their Delivery System

  • Sora Son;Kyuri Lee
    • Molecules and Cells
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    • v.46 no.1
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    • pp.41-47
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    • 2023
  • The rapid development of mRNA vaccines has contributed to the management of the current coronavirus disease 2019 (COVID-19) pandemic, suggesting that this technology may be used to manage future outbreaks of infectious diseases. Because the antigens targeted by mRNA vaccines can be easily altered by simply changing the sequence present in the coding region of mRNA structures, it is more appropriate to develop vaccines, especially during rapidly developing outbreaks of infectious diseases. In addition to allowing rapid development, mRNA vaccines have great potential in inducing successful antigen-specific immunity by expressing target antigens in cells and simultaneously triggering immune responses. Indeed, the two COVID-19 mRNA vaccines approved by the U.S. Food and Drug Administration have shown significant efficacy in preventing infections. The ability of mRNAs to produce target proteins that are defective in specific diseases has enabled the development of options to treat intractable diseases. Clinical applications of mRNA vaccines/therapeutics require strategies to safely deliver the RNA molecules into targeted cells. The present review summarizes current knowledge about mRNA vaccines/ therapeutics, their clinical applications, and their delivery strategies.