\u003cp\u003e\u003ci\u003eDiagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques\u003c/i\u003e offers new insights and demonstrates how machine learning (ML), artificial intelligence (AI), and (Internet of Things (IoT) can be used to diagnose and fight COVID-19 infection. Sections also discuss the challenges we face in using these technologies. Chapters cover pathogenesis, transmission, diagnosis, and treatment strategies for COVID-19, Artificial Intelligence and Machine Learning, and Blockchain /IoT Blockchain technology, examining how AI can be applied as a tool for detection and containment of the spread of COVID-19, and on the socioeconomic and educational post-pandemic impacts of the disease.\u003c/p\u003e \u003cp\u003eThis is a multidisciplinary resource for those engaged in researching COVID-19 and how emerging technologies are being used as tools for detection, transmission and treatment strategies.\u003c/p\u003e\u003cul\u003e\u003cli\u003eDescribes the molecular basis of pathogenesis, epidemiology, transmission mechanism, diagnostic approaches, and the mutational landscape of SARS-CoV-2\u003c/li\u003e\u003cli\u003eProvides insights into post COVID-19 symptoms and consequences\u003c/li\u003e\u003cli\u003eDemonstrates how machine learning, AI, and IoT is used to diagnose and fight COVID-19 infection\u003c/li\u003e\u003cli\u003eExamines the use of Blockchain technology/IoT and interpretation and validation of data obtained from artificial intelligence\u003c/li\u003e\u003c/ul\u003e
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