Articles: pandemics.
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As the COVID-19 pandemic continues, children can be infected with the virus that causes COVID-19. Clinical symptoms of children with COVID from China, where the disease was first reported, generally were less severe than adults. However, at the end of April 2020 in Europe, it was observed that some children with SARS-CoV-2 infection developed fever, abdominal pain, shock, myocardial insufficiency and they needed to be taken care of in intensive care unit. ⋯ Although the pathogenesis of MIS-C is unclear, it progresses with signs of multiorgan involvement as a result of uncontrolled inflammation of the immune system and even causes death. Therefore, the diagnosis and treatment of patients with MIS-C should be managed quickly. In this review, the pathophysiology, clinical and laboratory findings, diagnostic methods, and treatment regimens of MIS-C were discussed.
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Mobilizing the research ecosystem for accelerating vaccine and drug development has been an important reality of the pandemic. This article reviews the scientific advances that are attained by the COVID-19 Turkey Platform for vaccine and drug development against the SARS-CoV-2 virus. The platform that is coordinated by the Scientific and Technological Research Council of Turkey is established with a "co-creation and succeeding together" approach, which involves 436 researchers across 49 different institutions working on 17 vaccine and drug development projects in total. ⋯ Moreover, an adjuvanted inactivated vaccine candidate and two drug candidates that have been identified through the virtual scanning of more than 20,000 molecules are currently in clinical studies. Other vaccines and drug candidates involve additional innovative aspects, and a locally synthesized drug is found to have an impact on COVID-19. This review article discusses the advances that are achieved by the COVID-19 Turkey Platform from the ecosystem perspective, emphasizing the important scientific advances that have been achieved in the field of medical sciences.
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Governments implemented to nonpharmacological methods and various limitation policies such as closing nonessential businesses, schools and limiting group gatherings, promoting social distancing, use of personal protective equipment, advising staying at home. These policies have caused various problems in social and economic life and gradual increase in psychosocial well-being problems. ⋯ When using these indicators, it is necessary to consider the own characteristics of the countries. Personal precautions need to be continued for a while until vaccination becomes widespread and effective all over the world.
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Randomized Controlled Trial
The role of virtual reality simulation in surgical training in the light of COVID-19 pandemic: Visual spatial ability as a predictor for improved surgical performance: a randomized trial.
Due to the current COVID-19 pandemic, surgical training has become increasingly challenging due to required social distancing. Therefore, the use of virtual reality (VR)-simulation could be a helpful tool for imparting surgical skills, especially in minimally invasive environments. Visual spatial ability (VSA) might influence the learning curve for laparoscopic surgical skills. However, little is known about the influence of VSA for surgical novices on VR-simulator training regarding the complexity of different tasks over a long-term training period. Our study evaluated prior VSA and VSA development in surgical trainees during VR-simulator training, and its influence on surgical performance in simulator training. ⋯ Our study revealed that that all trainees improved their surgical skills irrespective of previous VSA during structured VR simulator training. An increase in VSA resulted in improvements in surgical performance and training progress, which was more distinct in complex simulator tasks. Further, we demonstrated a positive relationship between VSA and surgical performance of the TG, especially at the beginning of training. Our results identified pre-existing levels of VSA as a predictor of surgical performance.
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Comparative Study
Comparison of prediction accuracies between mathematical models to make projections of confirmed cases during the COVID-19 pandamic by country/region.
The COVID-19 pandemic caused >0.228 billion infected cases as of September 18, 2021, implying an exponential growth for infection worldwide. Many mathematical models have been proposed to predict the future cumulative number of infected cases (CNICs). Nevertheless, none compared their prediction accuracies in models. In this work, we compared mathematical models recently published in scholarly journals and designed online dashboards that present actual information about COVID-19. ⋯ An online dashboard was demonstrated to display the association and difference in prediction accuracy among predictive models. The IRT mathematical model was recommended to make projections about the evolution of CNICs for each county/region in future applications, not just limited to the COVID-19 epidemic.