Plos One
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This study aimed to investigate the knowledge, practices, and attitudes of medical professionals toward Traditional Chinese Medicine (TCM) for the prevention and treatment of coronavirus disease 2019 (COVID-19). All 401 medical professionals were surveyed using an anonymous with an investigator using the Questionnaire star APP. The participants answered 14 questions; of the 401 participants, 55.2% agreed with the statement "TCM can be used for the prevention and treatment of COVID-19," 40.4% remained neutral, and 4.4% disagreed. ⋯ Multiple logistic regression analysis showed that age, major and received TCM treatment within the last five years were independent factors affecting the participants' attitudes. In the absence of specific drugs for COVID-19, more than half of the participants agreed that TCM could be used for the prevention and treatment of COVID-19 and most participants are willing to take TCM to prevent COVID-19, although unsure about its effectiveness. The main information sources on TCM for the treatment and prevention of COVID-19 were social platforms and hospital training.
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Since the appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the question regarding the efficacy of various hygiene measures and the use of personal protective equipment (PPE) has become the focus of scientific and above all public discussion. To compare respirators, medical face masks, and cloth masks and determine if it is recommendable to wear face masks to protect the individual wearer of the mask from inhaling airborne particles, we challenged 29 different masks with aerosols and tested the pressure drop as a surrogate for breathing resistance owing to the mask material. We found that Type II medical face masks showed the lowest pressure drop (12.9±6.8 Pa/cm2) and therefore additional breathing resistance, whereas respirators such as the KN95 (32.3±7.0 Pa/cm2) and FFP2 (26.8±7.4 Pa/cm2) showed the highest pressure drops among the tested masks. ⋯ Our results indicate that it seems recommendable to wear face masks for providing base protection and risk reduction against inhaling airborne particles, in low-risk situations. In our study, especially EN 14683 type II certified medical face masks showed protective effectiveness against aerosols accompanied by minimal additional breathing resistance. FFP2 Respirators, on the other hand, could be useful in high-risk situations but require greater breathing effort and therefore physical stress for users.
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Accurate and reliable criteria to rapidly estimate the probability of infection with the novel coronavirus-2 that causes the severe acute respiratory syndrome (SARS-CoV-2) and associated disease (COVID-19) remain an urgent unmet need, especially in emergency care. The objective was to derive and validate a clinical prediction score for SARS-CoV-2 infection that uses simple criteria widely available at the point of care. ⋯ Criteria that are available at the point of care can accurately predict the probability of SARS-CoV-2 infection. These criteria could assist with decisions about isolation and testing at high throughput checkpoints.
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The SARS-CoV-2 coronavirus pandemic may cause significant morbidity and mortality in adults, yet severe cases are rare among children. The indirect impact of the pandemic on health care delivery in general and pediatric emergency department (PED) visits in particular has been widely reported. ⋯ A significant drop in PED visits is seen to extend well beyond the peak of the pandemic and the lockdown period. This highlights the potential risk of children with serious emergencies becoming casualties of the pandemic by their not being brought to medical attention. Efforts should be made to raise public awareness among parents and other caretakers of children regarding this matter.
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Early recognition of COVID-19 cases is essential for effective public health measures aimed at isolation of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). The objective of this study was to describe characteristics, self-reported symptoms, and predictors of testing positive for SARS-CoV-2 infection in a community-based sample. ⋯ This study assessed the impact of COVID-19 using community-level self-reported data across the US during the peak of most stay at home' orders. Self-reported symptoms and risk factors identified in this study are consistent with the clinical profile emerging for COVID-19. In the absence of widespread testing, this study demonstrates the utility of a representative US community-based sample to provide direct-reported symptoms and outcomes to quickly identify high-risk individuals who are likely to test positive and should consider taking greater precautions.