Articles: coronavirus.
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J Educ Eval Health Prof · Jan 2020
Impact of multi-professional simulation-based training on perceptions of safety and preparedness among health workers caring for coronavirus disease 2019 patients in Pakistan
This study aimed to evaluate perceptions of safety and preparedness among health workers caring for coronavirus disease 2019 (COVID-19) patients before and after a multi-professional simulation-based course in Pakistan. Health workers’ perceptions of preparedness, safety, and their willingness to care for COVID-19 patients were measured before and after they attended a simulation-based training course to prepare them to care for COVID-19 patients at Combined Military Hospital Landi Kotal Cantt, from March 1 to April 30, 2020. ⋯ They felt confident and were significantly more willing to care for patients with COVID-19 or other infections requiring strict isolation. Simulation-based training is an effective tool to improve perceptions of risk and readiness to deal with COVID-19 among medical and non-medical health workers in Pakistan.
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Background: As 2019 ends coronavirus disease start expanding all over the world. It is highly transmissible disease that can affect respiratory tract and can leads to organ failure. In 2020 it is declared by world health organization as "Public health emergency of international concerns". ⋯ Results: A Deep Neural Network model provides a significant contribution in terms of detecting COVID-19 and provides effective analysis of chest related diseases with respect to age and gender. Our model achieves 89% accuracy in terms of Gan based synthetic data and four different types of deep learning- based models which provided state of the art comparable results. Conclusion: If the gap in identifying of all viral pneumonias is not filled with effective automation of chest disease detection the healthcare industry may have to bear unfavorable circumstances.
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Coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), became a pandemic in March 2020, affecting millions of people worldwide. However, COVID-19 in pediatric patients represents 1-5% of all cases, and the risk for developing severe disease and critical illness is much lower in children with COVID-19 than in adults. Multisystem inflammatory syndrome in children (MIS-C), a possible complication of COVID-19, has been described as a hyperinflammatory condition with multiorgan involvement similar to that in Kawasaki disease or toxic shock syndrome in children with evidence of SARS-CoV-2 infection. ⋯ Particular emphasis is placed on respiratory support, which includes noninvasive ventilation and invasive mechanical ventilation strategies according to lung compliance and pattern of lung injury. Pharmacological treatment, including pathogen-targeted drugs and host-directed therapies, has been addressed. The diagnostic criteria and management of MIS-C are also summarized.
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a new threat to healthcare systems. In this setting, heart failure units have faced an enormous challenge: taking care of their patients while at the same time avoiding patients' visits to the hospital. ⋯ Our study suggests that implementing an active-surveillance protocol in acutely decompensated heart failure units during the SARS-CoV-2 pandemic can reduce hospital admissions, ER visits and, potentially, viral transmission, in a cohort of especially vulnerable patients.