ABSTRACT
The aim of this study was to develop a measurement tool that would determine university students' attitudes toward the phenomena of scientists on social media during the period of Covid-19 pandemic. The sample of the study included 780 students studying at different departments and programs of universities in Turkey. The Scale of Students' Attitudes on Scientists as Phenomena on Social Media was developed in this study as a 5-point Likert scale with 27 items and 5 factors: Actuality of the shared post, Effect of the shared post on personal development, Credibility of the shared post, Dissemination of the shared post and Recognition of the scientist. Considering the overall reliability of the scale, Cronbach's alpha coefficient was calculated as 0.957 and test-retest reliability coefficient as 0.942. As a result of the confirmatory factor analysis, the fit index values were found to be x2/sd=1.998, RMSEA=0.070, S-RMR=0.062, IFI=0.97, NNFI=0.97, NFI=0.95, CFI=0.97, GFI=0.92, AGFI=0.88, PNFI=0.83 and PGFI=0.67. These values examined in relation to the model's adequacy were determined to be perfectly acceptable. © 2022, FACTEACHEREDUCATION. All rights reserved.
ABSTRACT
COVID-19 is a viral disease that is recognized now as a pandemic by the World Health Organization. It is known that some viral infections may trigger autoimmune diseases. It has been revealed that COVID-19 may also lead to the pathogenesis of some autoimmune diseases, including Type 1 DM (T1DM) and autoimmune thyroid diseases. Here, we aimed to present a young female patient with COVID-19, who we followed up in our clinic, who presented with diabetic ketoacidosis (DKA), and developed Hashimoto’s disease during the treatment process. In order to emphasize that COVID-19 may trigger the emergence of T1DM, that it may mask nonspecific DKA symptoms like nausea and vomiting, that it may cause delay in diagnosis of DKA, and also to emphasize the importance of evaluating other autoimmune diseases accompanying COVID-19, we found it appropriate to present this case.
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The COVID-19 pandemic is one of the most prominent global events in the postmodern period. This section aims to examine the literature on the purchasing behavior of tourists by revealing the impact of COVID-19 on tourist psychology. Taking into account the psychological effects of quarantine on post-tourist behavior, it discusses possible opportunities for transformation. The section offers some predictions for the future of tourism by focusing on the purchasing behavior of tourists in the short, medium, and long term. © Dogan Gursoy, Mehmet Sarıışık, Robin Nunkoo and Erhan Boğan 2021.
ABSTRACT
BACKGOUND/AIMS Our objective was to identify the chest X-ray (CXR) features of the patients with coronavirus disease 2019 (COVID-19) and to evaluate the relationship between CXR scores and age and gender. Also, we aimed to detect the sensitivity, positive predictive value (PPV), and negative predictive value (NPV) of CXRs in patients with COVID-19 pneumonia. MATERIAL and METHODS A total of 35 patients who underwent CXR and computed tomography (CT) and had a positive real-time reverse transcriptasepolymerase chain reaction test result were included in the study. The initial CXRs of all patients were evaluated and scored using the Brixia scoring system. Then, chest CT scans were assessed the presence of pneumonia. RESULTS Of the 35 patients, CXRs of 13 patients (6 male and 7 female) were normal, and 22 patients had unilateral or bilateral opacities, which was considered to indicate pneumonia. The sensitivity, PPV, NPV, and accuracy of the CXRs in the detection of pneumonia were 81.4%, 100%, 61.5%, and 85.7%, respectively. The median Brixia score of patients without pneumonia was less than that of the patients with pneumonia (4 [1-6] vs 7 [4-12];P < .01). CONCLUSION This scoring system might be useful for identifying the highest-risk patients at an early stage and determine who requires early medical management in the pandemic service or intensive care unit.
ABSTRACT
Introduction: In late 2019, a new coronavirus disease was detected in Wuhan, China and called COVID-19. Iron metabolism is one of the topics have to be investigated for the development of therapeutic strategies for COVID-19. The aim of this study is to assess changes in traditional biochemical iron status indicators during COVID-19 pneumonia. Materials and methods: A case-control study. Case group was defined as COVID-19 pneumonia with polymerase chain reaction (PCR)-confirmed and the control group consisted of patients with non-COVID-19 pneumonia with culture confirmed. Biomarkers of anemia and iron metabolism, C-reactive protein (CRP), procalcitonin were analyzed. Demographic features, thorax tomography findings, oxygen saturation, development of acute respiratory distress syndrome (ARDS), intensive care unit admission, duration of hospitalization, discharge status (event free survival or death) were evaluated. Results: 205 hospitalized patients with pneumonia were analyzed retrospectively. COVID-19 group was significantly younger than control group. 23 of 106 patients had critical COVID-19 infection. Comorbidity frequency and mortality rate of patients with COVID-19 pneumonia were significantly higher. Hemoglobin (Hb), reticulocyte hemoglobin equivalent (RET-He), iron, transferin saturation (TSAT), CRP, procalcitonin (PCT) and oxygen saturation (SpO2) were significantly lower. Hb, RET-He, iron, TSAT levels significantly correlated to lung aeration loss, hospitalization day and inflamatory markers in COVID-19 pneumonia. Conclusions: The patients with COVID-19 pneumonia had lower iron parameters even they were young. Low RET-He, iron, TSAT may effect the lung aeration loss related to paranchimal infiltrations and mortality of the patients with COVID-19 pneumonia. Our data indicates that iron deficiency parameters associated with longer hospital stays, lower oxygenation, higher CRP and procalsitonin. © 2021 A. CARBONE Editore. All rights reserved.
ABSTRACT
The new coronavirus disease-2019 (COVID-19) is rapidly spreading around the world and has been declared an outbreak by WHO. However, the effect of blood groups on COVID-19 infection and the severity of the disease is unclear. The aim of this study is to determine the relationship between ABO blood group and susceptibility to COVID-19 infection and whether the blood group will be a biomarker for COVID-19 infection. Patients diagnosed with SARS-CoV-2 between March and May 2020 were included in this study. In order to compare the blood groups of the patients with the healthy group, patients who had previously performed ABO blood group analysis in the blood bank between February and May 2020 were included as the control group. Demographic data, clinical data, underlying comorbidities, laboratory findings and clinical results (hospitalization, need for intensive care, mortality) were obtained from the electronic medical records. A total of 179 patients with confirmed COVID-19 and 5200 healthy control patients were included in the study. Patients with COVID-19 showed a distribution of 62.01% in group A,9.50% in group B, 8.94% in group AB and 19.55% in group O. In group A, length of stay in Intensive Care Unit was longer (10.42±11.61 days;p= 0.013). Compared to the blood groups of the healthy control group, COVID-19 patients had higher A blood group than the healthy group (62& vs.46.6%;p 0.001) and lesser of the O blood group (19.6% vs. 34.7%;p 0.001).Blood group A can be used as a predictive biomarker for COVID-19 disease.In addition, we concluded that the group A had a higher risk for COVID-19 disease and severity. © 2020, UHOD - Uluslararasi Hematoloji Onkoloji Dergisi. All rights reserved.