• 제목/요약/키워드: severe acute respiratory syndrome (SARS)

검색결과 204건 처리시간 0.024초

Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population

  • Apio, Catherine;Kamruzzaman, Md.;Park, Taesung
    • Genomics & Informatics
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    • 제18권3호
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    • pp.31.1-31.8
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    • 2020
  • The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic. No specific therapeutic agents or vaccines for COVID-19 are available, though several antiviral drugs, are under investigation as treatment agents for COVID-19. The use of convalescent plasma transfusion that contain neutralizing antibodies for COVID-19 has become the major focus. This requires mass screening of populations for these antibodies. While several countries started reporting population based antibody rate, its simple point estimate may be misinterpreted without proper estimation of standard error and confidence intervals. In this paper, we review the importance of antibody studies and present the 95% confidence intervals COVID-19 antibody rate for the Korean population using two recently performed antibody tests in Korea. Due to the sparsity of data, the estimation of confidence interval is a big challenge. Thus, we consider several confidence intervals using Asymptotic, Exact and Bayesian estimation methods. In this article, we found that the Wald method gives the narrowest interval among all Asymptotic methods whereas mid p-value gives the narrowest among all Exact methods and Jeffrey's method gives the narrowest from Bayesian method. The most conservative 95% confidence interval estimation shows that as of 00:00 on September 15, 2020, at least 32,602 people were infected but not confirmed in Korea.

A Study and Analysis of COVID-19 Diagnosis and Approach of Deep Learning

  • R, Mangai Begum
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.149-158
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    • 2022
  • The pandemic of Covid-19 (Coronavirus Disease 19) has devastated the world, affected millions of people, and disrupted the world economy. The cause of the Covid19 epidemic has been identified as a new variant known as Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV2). It motives irritation of a small air sac referred to as the alveoli. The alveoli make up most of the tissue in the lungs and fill the sac with mucus. Most human beings with Covid19 usually do no longer improve pneumonia. However, chest x-rays of seriously unwell sufferers can be a useful device for medical doctors in diagnosing Covid19-both CT and X-ray exhibit usual patterns of frosted glass (GGO) and consolidation. The introduction of deep getting to know and brand new imaging helps radiologists and medical practitioners discover these unnatural patterns and pick out Covid19-infected chest x-rays. This venture makes use of a new deep studying structure proposed to diagnose Covid19 by the use of chest X-rays. The suggested model in this work aims to predict and forecast the patients at risk and identify the primary COVID-19 risk variables

Henoch-Schönlein purpura following mRNA COVID-19 vaccination: a case report

  • Mi-Ok Lee;Seok-Ju Yoo
    • Clinical and Experimental Vaccine Research
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    • 제13권2호
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    • pp.166-170
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    • 2024
  • The coronavirus disease 2019 (COVID-19) vaccine was developed to provide immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which was first reported in 2019. The vaccine has proven to be effective in reducing severity and mortality and preventing infection. Henoch-Schönlein purpura is an autoimmune vasculitis (immunoglobulin A vasculitis). Historically, vaccines have been administered primarily to children, and Henoch-Schönlein purpura has often been reported in children following vaccination. However, since the start of COVID-19 vaccination, an increasing number of cases have been reported in adults. Here, we report a case of a patient who developed hematuria and proteinuria after receiving the messenger RNA COVID-19 vaccine. A 22-year-old man presented to the hospital with a lower extremity rash, bilateral ankle pain, and abdominal pain 18 days after receiving the COVID-19 vaccine. The man had no significant medical history and was not taking any medications. Laboratory tests showed normal platelet counts but elevated white blood cell counts and C-reactive protein and fibrinogen levels. He was treated with the non-steroidal anti-inflammatory drugs, pheniramine and prednisolone. At 40 days after starting treatment, C-reactive protein levels were within normal limits, and no hematuria was observed. Treatment was terminated when the purpura disappeared. This report is intended to highlight the need for further research to be proactive and carefully monitor for conditions associated with the COVID-19 vaccine.

The Effectiveness of Community-based Social Distancing for Mitigating the Spread of the COVID-19 Pandemic in Turkey

  • Durmus, Hasan;Gokler, Mehmet Enes;Metintas, Selma
    • Journal of Preventive Medicine and Public Health
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    • 제53권6호
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    • pp.397-404
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    • 2020
  • Objectives: The objective of this study was to demonstrate the effects of community-based social distancing interventions after the first coronavirus disease 2019 (COVID-19) case in Turkey on the course of the pandemic and to determine the number of prevented cases. Methods: In this ecological study, the interventions implemented in response to the first COVID-19 cases in Turkey were evaluated and the effect of the interventions was demonstrated by calculating the effective reproduction number (Rt) of severe acute respiratory syndrome coro navirus 2 (SARS-CoV-2) when people complied with community-based social distancing rules. Results: Google mobility scores decreased by an average of 36.33±22.41 points (range, 2.60 to 84.80) and a median of 43.80 points (interquartile range [IQR], 24.90 to 50.25). The interventions caused the calculated Rt to decrease to 1.88 (95% confidence interval, 1.87 to 1.89). The median growth rate was 19.90% (IQR, 10.90 to 53.90). A positive correlation was found between Google mobility data and Rt (r=0.783; p<0.001). The expected number of cases if the growth rate had not changed was predicted according to Google mobility categories, and it was estimated to be 1 381 922 in total. Thus, community-based interventions were estimated to have prevented 1 299 593 people from being infected. Conclusions: Community-based social distancing interventions significantly decreased the Rt of COVID-19 by reducing human mobility, and thereby prevented many people from becoming infected. Another important result of this study is that it shows health policymakers that data on human mobility in the community obtained via mobile phones can be a guide for measures to be taken.

Polyhydroxyalkanoate Chip for the Specific Immobilization of Recombinant Proteins and Its Applications in Immunodiagnostics

  • Park, Tae-Jung;Park, Jong-Pil;Lee, Seok-Jae;Hong, Hyo-Jeong;Lee, Sang-Yup
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제11권2호
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    • pp.173-177
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    • 2006
  • In this study, a novel strategy was developed for the highly selective immobilization of proteins, using the polyhydroxyalkanoate (PHA) depolymerase substrate binding domain (SBD) as an active binding domain. In order to determine the appropriacy of this method for immunodiagnostic assays, the single-chain antibody (ScFv) against the hepatitis B virus (HBV) preS2 surface protein and the severe acute respiratory syndrome coronavirus (SARS-CoV) envelope protein (SCVe) were fused to the SBD, then directly immobilized on PH A-coated slides via microspotting. The fluorescence-labeled HBV antigen and the antibody against SCVe were then utilized to examine specific interactions on the PHA-coated surfaces. Fluorescence signals were detected only at the spotted positions, thereby indicating a high degree of affinity and selectivity for their corresponding antigens/antibodies. Furthermore, we detected small amounts of ScFv-SBD (2.7 ng/mL) and SCVe-SBD fusion proteins (0.6ng/mL). Therefore, this microarray platform technology, using PHA and SBD, appears generally appropriate for immunodiagnosis, with no special requirements with regard to synthetic or chemical modification of the biomolecules or the solid surface.

Regional TMPRSS2 V197M Allele Frequencies Are Correlated with COVID-19 Case Fatality Rates

  • Jeon, Sungwon;Blazyte, Asta;Yoon, Changhan;Ryu, Hyojung;Jeon, Yeonsu;Bhak, Youngjune;Bolser, Dan;Manica, Andrea;Shin, Eun-Seok;Cho, Yun Sung;Kim, Byung Chul;Ryoo, Namhee;Choi, Hansol;Bhak, Jong
    • Molecules and Cells
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    • 제44권9호
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    • pp.680-687
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    • 2021
  • Coronavirus disease, COVID-19 (coronavirus disease 2019), caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), has a higher case fatality rate in European countries than in others, especially East Asian ones. One potential explanation for this regional difference is the diversity of the viral infection efficiency. Here, we analyzed the allele frequencies of a nonsynonymous variant rs12329760 (V197M) in the TMPRSS2 gene, a key enzyme essential for viral infection and found a significant association between the COVID-19 case fatality rate and the V197M allele frequencies, using over 200,000 present-day and ancient genomic samples. East Asian countries have higher V197M allele frequencies than other regions, including European countries which correlates to their lower case fatality rates. Structural and energy calculation analysis of the V197M amino acid change showed that it destabilizes the TMPRSS2 protein, possibly negatively affecting its ACE2 and viral spike protein processing.

COVID-19 Lung CT Image Recognition (COVID-19 폐 CT 이미지 인식)

  • Su, Jingjie;Kim, Kang-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • 제17권3호
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    • pp.529-536
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    • 2022
  • In the past two years, Severe Acute Respiratory Syndrome Coronavirus-2(SARS-CoV-2) has been hitting more and more to people. This paper proposes a novel U-Net Convolutional Neural Network to classify and segment COVID-19 lung CT images, which contains Sub Coding Block (SCB), Atrous Spatial Pyramid Pooling(ASPP) and Attention Gate(AG). Three different models such as FCN, U-Net and U-Net-SCB are designed to compare the proposed model and the best optimizer and atrous rate are chosen for the proposed model. The simulation results show that the proposed U-Net-MMFE has the best Dice segmentation coefficient of 94.79% for the COVID-19 CT scan digital image dataset compared with other segmentation models when atrous rate is 12 and the optimizer is Adam.

Pregnant women's knowledge about and beliefs toward COVID-19 vaccine: a cross-sectional study

  • Osman Samet Gunkaya;Arzu Bilge Tekin;Murat Yassa;Oguz Arslan;Kubra Karakoc;Nesibe Demirtas;Canberk Usta;Cigdem Kunt Isguder;Niyazi Tug
    • Clinical and Experimental Vaccine Research
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    • 제12권2호
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    • pp.134-142
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    • 2023
  • Purpose: The aim of this study was to determine the scope of knowledge, attitudes, and behaviors of pregnant women about the coronavirus disease 2019 (COVID-19) vaccine. Materials and Methods: A total of 886 pregnant women were recruited for the study. A cross-sectional questionnaire was conducted on these selected participants. Data about past infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), SARS-CoV-2 infection of closely related people, and deaths due to COVID-19 among their relatives were questioned. Results: The rate of vaccination was higher (64.1%) in pregnant women with higher education levels. Informing about the vaccine, especially by health professionals, showed that the rates of vaccination (25%) increased (p<0.001). In addition, a significant increase was observed in vaccination rates with increasing age and financial income (p<0.001). Conclusion: The main limitation of our study is that the vaccine, which was approved for "emergency use", was just started to be administered to pregnant women during the study. Our findings show that our target audience, low-income, low-education, younger pregnant women should be given more attention than those who apply to the doctor for routine follow-up.

Humoral immune response to SARS-CoV-2 mRNA vaccines is associated with choice of vaccine and systemic adverse reactions

  • Hanna Klingel;Alexander Kruttgen;Matthias Imohl;Michael Kleines
    • Clinical and Experimental Vaccine Research
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    • 제12권1호
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    • pp.60-69
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    • 2023
  • Purpose: Although the fast development of safe and effective messenger RNA (mRNA) vaccines against severe acute respiratory syndrome coronavirus 2 has been a success, waning humoral immunity has led to the recommendation of booster immunization. However, knowledge of the humoral immune response to different booster strategies and the association with adverse reactions is limited. Materials and Methods: We investigated adverse reactions and anti-spike protein immunoglobulin G (IgG) concentrations among health care workers who received primary immunization with mRNA-1273 and booster immunization with mRNA-1273 or BNT162b2. Results: Adverse reactions were reported by 85.1% after the first dose, 94.7% after the second dose, 87.5% after a third dose of BNT162b2, and 86.0% after a third dose of mRNA-1273. They lasted for a median of 1.8, 2.0, 2.5, and 1.8 days, respectively; 6.4%, 43.6%, and 21.0% of the participants were unable to work after the first, second, and third vaccination, respectively, which should be considered when scheduling vaccinations among essential workers. Booster immunization induced a 13.75-fold (interquartile range, 9.30-24.47) increase of anti-spike protein IgG concentrations with significantly higher concentrations after homologous compared to heterologous vaccination. We found an association between fever, chills, and arthralgia after the second vaccination and anti-spike protein IgG concentrations indicating a linkage between adverse reactions, inflammation, and humoral immune response. Conclusion: Further investigations should focus on the possible advantages of homologous and heterologous booster vaccinations and their capability of stimulating memory B-cells. Additionally, understanding inflammatory processes induced by mRNA vaccines might help to improve reactogenicity while maintaining immunogenicity and efficacy.

Sub-Health Status Survey and Influential Factor Analysis in Chinese during Coronavirus Disease 2019 Pandemic

  • Pan, Yanbin;Yan, Jianlong;Lu, Wanxian;Shan, Miaohang
    • Journal of Korean Academy of Nursing
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    • 제51권1호
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    • pp.5-14
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    • 2021
  • Purpose: This study aimed to investigate sub-health status (SHS) of people living in China during the Coronavirus disease 2019 (COVID-19) COVID-19 pandemic. COVID-19 is a severe acute respiratory syndrome coronavirus (SARS-CoV) infection-induced acute infectious disease, which is featured by universal susceptibility and strong infectivity, and SHS (a status of low quality health) refers to a status of low-quality health. COVID-19 has gradually developed into a global pandemic, making the public in a high stress situation in physiological, psychological and social states in the short term. Methods: From March 6 to 11, 2020, a large-scale cross-sectional survey was conducted by convenient sampling, and SHS assessment scale was used in the questionnaire. The ordinal logistic regression analysis was used to identify the factors affecting SHS. Results: In this study, 17,078 questionnaires were delivered with 16,820 effective questionnaires collected, and 10,715 subjects (63.7%) were found with SHS, with moderate SHS primarily. Physiological sub-scale scored the highest, followed by psychological and social sub-scales. Ordinal logistic regression analysis indicated that man, only-child, workers and farmers were risk factors of SHS. Protective factors of SHS included living in rural areas and townships, laid-off retirees and education degree. Conclusion: It shows many people in China place in a poor health status during COVID-19 pandemic. It is necessary that relevant departments pay more attention to people with poor health such as men, only-child, urban people, workers and farmers, and groups with high education degree during and after pandemic stabilization.