ABSTRACT
Recently, the world has been affected by a coronavirus disease (COVID-19) pandemic, which has caused serious illness among many people across the globe. This virus is believed to have been transmitted from bats. It disease originated in Wuhan province in China, at a seafood wholesale market in late 2019. At the time of writing, more than 11 million people had contracted COVID-19 and more than 534,000 had died due to this disease. In this chapter, the effect of this virus on the human body is explained;further, the symptoms and diagnosis also are described. The diagnostic approach is based on virus detection at the device and circuit level. Artificial intelligence models of engineered nanomaterials have the potential to easily detect coronavirus by sensing the variation in size or surface potential of the nanoparticles. The machine learning approaches are also described for the analysis of disease spread and identifying hotspots. This chapter mainly deals with coronavirus symptoms, diagnosis, detection, and analysis with the help of existing artificial intelligence prediction models. It also covers virus detection at the transistor and material levels through biosensors. © 2022 Elsevier Inc. All rights reserved.