A Review of the State of the Art in Non-Contact Sensing for COVID-19

• Main Authors: William Taylor, Qammer H. Abbasi, Kia Dashtipour, Shuja Ansari, Syed Aziz Shah, Arslan Khalid, Muhammad Ali Imran
• Format: Article
• Language: English
• Published: MDPI AG 2020-10-01
• Series: Sensors
• Subjects: COVID-19; population health; Sars-Cov-2; AI; ML; disease diagnostics
• Online Access: https://www.mdpi.com/1424-8220/20/19/5665

COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no approved vaccination or treatment, governments around the world have issued guidance to their citizens to remain at home in efforts to control the spread of the disease. The goal of controlling the spread of the virus is to prevent strain on hospitals. In this paper, we focus on how non-invasive methods are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. Early detection of COVID-19 can allow for early isolation to prevent further spread. This study outlines the advantages and disadvantages and a breakdown of the methods applied in the current state-of-the-art approaches. In addition, the paper highlights some future research directions, which need to be explored further to produce innovative technologies to control this pandemic.