Coronavirus Disease (COVID-19): Pathophysiology, Epidemiology, Clinical Management and Public Health Response

The COVID-19 pandemic has had a significant impact on public health, medical systems, and athletes, and has caused major fatalities across the world. This research topic looks into the various aspects of the pandemic, from the clinical features and laboratory findings of patients, to the proposed strategies for combating the virus, the impact of non-pharmaceutical interventions, and the risk factors for disease progression.

The research has found that interleukin-6 is a superior predictor of disease severity, that a significant minority of people would reject a COVID-19 vaccine, and that compliance with non-pharmaceutical interventions can prevent 16 million people from being infected and 94,000 deaths. Additionally, it has been found that the positive rate of SARS-CoV-2 NAT testing for COVID-19 diagnosis varies significantly depending on the patient's disease severity, status, specimen type, and number of specimens.

The research has also revealed that fear of the virus is related to seeking out information and avoiding infection, but also to believing in fake news, that temperature is inversely related to COVID-19 cases per million, and that vitamin C may be beneficial in treating acute respiratory distress syndrome (ARDS) associated with COVID-19 pneumonia. Furthermore, machine learning-based approaches have been used to analyze the global COVID-19 data of 133 countries, and modulated electro-hyperthermia (mEHT) has been proposed as a potential solution to prevent the progression of the disease.