ABSTRACT
To minimize the pace of transmission of the novel Covid-19 virus, institutions have shifted to e-learning to substitute lectures and assessments in the classroom without being fully ready and technologically equipped. As a result, institutions must identify and employ the most suitable data architecture for their universities. For this purpose, this study first identifies 109 e-learning solution use cases, collects their 983 user reviews from the e-learning industry, and categorizes them according to their data architectures for appropriate comparison using the developed conceptual framework. The finding shows that data-driven and data-centric were the only architectures used by e-learning solutions, it further recommends data-centric as the best suited for e-learning. © 2022 IEEE.
ABSTRACT
Background: The COVID-19 pandemic is a global health crisis with a likely long-term psychological impact on healthcare workers (HCWs). As the pandemic moves towards endemic status, little knowledge exists on how it has affected HCWs in the Kingdom of Bahrain. This study aims to evaluate the psychological impact and related factors of HCWs during the COVID-19 pandemic. Factors were assessed at two time periods: 1- July 2020 (T1: 6 months after the pandemic started in Bahrain) and 2- 6-month follow-up during January 2021 (T2: 12 months).