The COVID-19 pandemic of 2020-2023 significantly affected emergency medical care. Physicians who regularly saw their patients by appointment were redeployed to emergency care, increasing their reported burnout. Understanding how the burnout of specialists increased from this redeployment during COVID-19 is relevant to finding ways to reduce redeployment burnout in these appointment-based physicians when preparing for future pandemics.

The COVID-19 pandemic brought many challenges to each sector of life. The most affected are the health in general and elective services in specific. The postponement of planned surgical procedures is one of the elective services that not only increased the waiting time in the short-term but will strain the healthcare services in the long-run

The emergence of new coronaviruses poses a significant global health threat, as witnessed during recent outbreaks. Coronaviruses were first identified in the 1960s, primarily causing mild respiratory illnesses in humans. The introduction of the severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002, on the other hand, constituted a watershed moment. The outbreak began in China and swiftly spread to numerous nations, resulting in severe respiratory sickness and a global public health disaster. The SARS-CoV outbreak demonstrated coronaviruses' ability to cause severe illness and inspired substantial study into their origins and transmission patterns.

Background: lack of knowledge and awareness of COVID-19 and radiation safety among healthcare professionals will adversely affect their health and the patients’ safety due to unnecessary radiation exposure and rapid spread of COVID-19. The purpose of this study is to evaluate the knowledge and the awareness of both domains; COVID-19 and radiation awareness in one survey study. 

The COVID-19 pandemic presents unprecedented challenges for anesthesia professionals and their surgical patients. Beyond managing infection risk, positive COVID-19 surgical patients add additional challenges to their perioperative care, where its perioperative risk are superimposed onto an already baseline anesthesia risk in real-time with an unknown and unpredictable fashion.