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COVID-19 Characteristics and Complexities
In this chapter, we give an overview of the COVID-19 pandemic and the characteristics and complexities of the coronavirus, COVID-19 diseases, and...
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COVID-19 Research Profile and Impact
This chapter summarizes the profile of the overall research on COVID-19 globally. We further present the results of COVID-19 research impact and...
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Global COVID-19 Research and Modeling A Historical Record
This book provides answers to fundamental and challenging questions regarding the global response to COVID-19. It creates a historical record of...
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Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection
The COVID-19 pandemic has unleashed an unprecedented global crisis, releasing a wave of illness, mortality, and economic disarray of unparalleled...
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AlexNet for Image-Based COVID-19 Diagnosis
The medical community is working harder to develop quick and accurate methods of diagnosing the virus in response to the COVID-19 pandemic. The speed...
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Social Vulnerability to COVID-19 Impacts of Technology Adoption and Information Behavior
This book provides an overview of the impact of the pandemic in China and the USA and presents a research agenda for use, access, and adoption of...
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COVID-19 Sāvdhān: Harnessing the Telecom Infrastructure for COVID-19 Management
The tremendous challenges brought on by the COVID-19 pandemic has brought to light the significance of inclusive and effective risk communication as...
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Local Binary Pattern and RVFL for Covid-19 Diagnosis
Recently, the use of artificial intelligence to improve the efficiency of Covid-19 diagnosis has become a trend due to the spread and proliferation...
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Detection of COVID-19 Disease Using Federated Learning
The study investigates the use of Federated Learning (FL) in combination with the AlexNet architecture for the early confirmation of COVID-19 from...
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CovidO: an ontology for COVID-19 metadata
Ontology is a significant data model for identifying semantic information for Coronavirus disease (COVID-19) discovery. Large-scale biological and...
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COVID-19 Versus Past Pandemics: What Can We Learn?
COVID-19 may be a novel virus, but the social and political dynamics linked to it are not unique. This chapter explores several historical and modern...
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Covid-19 and Quasi-Covid-19 Pandemic Vicariant Innovations in the Educational Context: Comparative Cases
The COVID-19 pandemic has been a disruptive event in many industries while providing innovation opportunities as well. The transition to remote...
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COVID-19 Neologism in the Assamese Language
A newly coined word or meaning added to a language is known as Neologism. The procedure is gradual and ongoing. Languages change over time as new...
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PixNet for early diagnosis of COVID-19 using CT images
Globally, COVID-19 has impacted severely the healthcare systems and the patients as well. Reverse Transcription-Polymerase Chain Reaction (RT-PCR)...
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Shuffle SwishNet-181: COVID-19 diagnostic framework using ECG images
Early and precise detection of COVID-19 holds significant benefits, particularly in facilitating the prompt isolation of infected individuals and...
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XcepCovidNet: deep neural networks-based COVID-19 diagnosis
Coronavirus (also known as COVID-19) is an extremely contagious disease spreading around the globe. An efficient and fast diagnostic method must be...
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Post-Vaccination Risk Prediction of COVID-19: Machine Learning Approach
COVID-19 warns everyone of the fact that viral infection can be serious and even lethal. Prior to the COVID-19 epidemic, people paid no attention to...
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Regional trends in the number of COVID-19 cases
In this study, we analysed the novel coronavirus disease (COVID-19) cases data to investigate the regional infection trends in Japan. There had been...
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Optimization Based Deep Learning for COVID-19 Detection Using Respiratory Sound Signals
The COVID-19 prediction process is more indispensable to handle the spread and death occurred rate because of COVID-19. However, early and precise...
