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.
【저자키워드】 COVID-19, SARS-CoV-2, AI, Population health, disease diagnostics, sensing, ML, 【초록키워드】 Treatment, vaccination, pandemic, virus, healthcare worker, hospitals, global pandemic, Spread, Early detection, Research, Isolation, Guidance, COVID-19 patients, disadvantage, Government, approaches, effort, Prevent, highlight, detect, caused, addition, the disease, approved, applied, assist, non-invasive method, 【제목키워드】 review, state,