Improving safety in dental practices during the COVID-19 pandemic.
Asma Gasmi BenahmedAmin GasmiWajiha AnzarMehreen ArshadGeir BjørklundPublished in: Health and technology (2022)
Coronavirus disease 2019 (COVID-19) is caused by a novel coronavirus, known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It originated from the Chinese city of Wuhan and very quickly became a challenging public health problem. On 11 March 2020, the World Health Organization termed this potentially deadly disease a pandemic due to its rapid spread in various parts of the world, giving rise to international health emergencies. This virus is transmitted from human to human in the form of respiratory droplets, and in specific circumstances, airborne transmission may occur. Additional sources of exposure for dentists include blood and infected sharps. Due to the contagious nature of COVID-19 many health care providers have also been disproportionately affected, such as physicians, dentists, nurses, and paramedical staff. Dentists and dental staff are at high risk of cross-infection due to their nature of work. Therefore, they face a dual challenge in protecting themselves and their patients from infection transmission while ensuring that patients receive urgent dental care. In this review, the authors highlight the epidemiology, modes of cross-infection, and recent data on SARS-CoV-2 related to dental practice. The primary purpose is to make dental health care providers aware of the pathophysiology of COVID-19 and to increase their preparedness and understanding of this challenge, which will aid in controlling transmission. The information collected will be useful for the dental community in providing effective patient management through evidence-based recommendations for infection control and disinfection protocols.
Keyphrases
- sars cov
- coronavirus disease
- respiratory syndrome coronavirus
- healthcare
- public health
- oral health
- primary care
- end stage renal disease
- ejection fraction
- newly diagnosed
- endothelial cells
- mental health
- prognostic factors
- drinking water
- peritoneal dialysis
- chronic kidney disease
- patient reported outcomes
- big data
- machine learning
- health information
- data analysis
- particulate matter
- deep learning
- climate change
- quantum dots
- global health
- induced pluripotent stem cells