Objective: Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight against COVID-19 crisis at different scales, including medical image processing, disease tracking, prediction outcomes, computational biology and medicines. Methods: A progressive search of the database related to modern technology towards COVID-19 is made. Further, a brief review is done on the extracted information by assessing the various aspects of modern technologies for tackling COVID-19 pandemic. Results: We provide a window of thoughts on review of the technology advances used to decrease and smother the substantial impact of the outburst. Though different studies relating to modern technology towards COVID-19 have come up, yet there are still constrained applications and contributions of technology in this fight. Conclusions: Ongoing progress in the modern technology has contributed in improving people's lives and hence there is a solid conviction that validated research plans including artificial intelligence will be of significant advantage in helping people to fight this infection.

In most of the affected country's ignorance of Knowledge, Attitude, and Practice (KAP) towards COVID-19 leads to several issues. The aim of the present study is to review and discuss the KAP to fight the COVID-19 crisis in respect of stakeholders namely, general populations, health workers, and students. A comprehensive search of the literature associated with KAP towards COVID-19 is made using various keywords through PubMed, Web of Science, and Scopus and based on the results; a brief review is done by assessing the various aspects like country, sample size, and so forth. A detailed structure is provided with the KAP towards COVID-19 to overwhelm the significant impact of the explosion. Though, various studies appear in the literature as a result of sufficient element of knowledge, positive attitude, and necessary practice, yet there are various challenges in front of the authority bodies as this pandemic becoming critical day by day. Incessant progress in the KAP has contributed well in the fight against the pandemic and we believe that providing proper information to related COVID-19 would help in tackling this disease, especially, when authorities started talking with COVID-19 for a long period or until a vaccine developed. | INTRODUCTIONIn December 2019, a pathogenic human coronavirus SARS-CoV-2, coronavirus disease 2019 (COVID-19), was recognized and has caused serious illness and numerous deaths (Paules, Marston, & Fauci, 2020). COVID-19 is highly contagious with a certain mortality rate, and it was classified as a class B infectious disease and managed as a class A infectious disease in China in January 2020 (China National Health Commission, 2020). The epidemics of COVID-19 have been recorded over 200 countries, territories, and areas with more than 8,000,000 confirmed cases and 40,000 death cases (WHO, 2020).The world is struggling a battle against COVID-19 pandemic disease. This battle cannot be won without the support of the country's population. Public awareness and attitude play an essential role in restricting the spread of the disease. Due to the ignorance of knowledge, attitude, and practice (KAP) many countries like China, Italy, South Korea, and Iran have already faced a major outbreak of COVID-19 in a short span of time resulting in several deaths. In spite of the numerous

Financial technology is changing the banking industry. A blend of high‐tech inventions is altering business as it reacts to unpredictability, indecisions, intricacy, and vagueness in the financial area. Banks are embracing this change and adapting financial technology in their banking products and services in customer advisory, artificial intelligence models, blockchain security, and many more. Given the dearth of literature on the arising subject of Fintech banking this paper provides a status quo and the trend of Fintech banking. A review is done of 3268 documents from the data extracted from Google Scholar for the year 1966–2021. Qualitative analysis including co‐occurrence analysis and the trend analysis was applied with the help of documents analysis, citation analysis, influential journals and authors, and leading countries in the research space. The results were achieved using the NVivo and Vosviewer software. The results identified significant topics trending in this space which include credit risk, artificial intelligence models, robot‐advisory, and decentralized blockchain usage in banking management.