CRC Press Health Informatics and Technological Solutions for Coronavirus (COVID-19)

This reference text presents statistical information, causes and impacts of coronavirus on populations, economics, and environment. The text includes machine learning and deep learning techniques to understand exponential behavior as well as predicting the future reachability of the COVID-19 outbreak. It discusses important concepts including smart sensors for early stage diagnosis, diagnosis of COVID-19 using low power IoT-enabled systems, biomedical imaging and sensor fusion, and electronic solutions for diagnosis, monitoring, and treatment of diseases. Aimed at graduate students and professionals in the field of electrical engineering, electronics and communications engineering, biomedical engineering and nanomaterials, this book discusses fundamental aspects and latest research in the field of COVID-19 covers diagnostics techniques in detail provides overview of the symptoms, preventions, and treatments related to COVID-19 discusses android-based mobile applications helpful in spreading awareness of COVID-19 About the Author Suman Lata Tripathi has completed her Ph.D. in the area of microelectronics and VLSI from MNNIT, Allahabad. She is associated with Lovely Professional University as a Professor with more than seventeen years of experience in academics. She has published more than 45 research papers in refereed journals and conferences. She has organized several workshops, summer internships, and expert lectures for students. She has worked as a session chair, conference steering committee member, editorial board member, and reviewer in international/national IEEE Journal and conferences. She has been nominated for the “Research Excellence Award” in 2019 at Lovely professional university. She had received the best paper at IEEE ICICS-2018. She has published an edited book titled “Recent advancement in Electronic Device, Circuit and Materials” by Nova science publishers. She has also submitted edited books, “Advanced VLSI Design and Testability Issues” and “Electronic Devices and Circuit Design Challenges for IoT application” in CRC Taylor & Francis and Apple Academic Press. She is also associated as an editor of book Series on “Green Energy: Fundamentals, Concepts, and Applications”, to be published by Scrivener Publishing, Wiley. Her area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing, and advance FET design for IoT, Embedded System Design and biomedical applications, etc. Kanav Dhir has completed his Ph.D. in the area of Inorganic and Medicinal Chemistry from Punjab Engineering College (Deemed to be University), Chandigarh. He is associated with DAV College, Chandigarh as an Assistant Professor with more than ten years of experience in academics. He has published more than 19 research papers in refereed journals and conferences and two book chapters. He has actively participated in and conducted workshops, seminars, and summer training programs. He has worked as a session chair, conference steering committee member, editorial board member, and reviewer in international/national journals and conferences. His area of expertise includes Inorganic Chemistry and Bioinorganic Chemistry. Deepika Ghai has completed her Ph.D. in the area of Signal and Image Processing from Punjab Engineering College (Deemed to be University), Chandigarh. She is associated with Lovely Professional University as an Assistant Professor with more than eight years of experience in academics. She has published more than 25 research papers/chapters/proceedings in refereed journals/books/conferences. She has worked as a session chair, conference steering committee member, editorial board member, and reviewer in international/national IEEE Journal and conferences. Her area of expertise includes Signal and Image Processing, VLSI Signal Processing. She has actively participated and conducted in several workshops, seminars, and real-