ABSTRACT
The COVID-19 pandemic, first detected in December 2019, spread drastically globally within a short period. Such a pandemic has caused enormous loss of lives and health complications and adversely affected the world economies. Effective tracking of the spread of the disease around the globe and predicting when the next wave will occur has become critical in measures geared towards mitigating COVID-19. This paper explores different ways of utilizing analytics and business intelligence tools and solutions to understand the spread of COVID-19 around the globe and predict the number of new COVID-19 cases likely to be recorded. Microsoft Power BI is used to visualize COVID-19 data simply and intuitively in different ways for health decision-makers and concerned parties to easily understand the spread of COVID-19 through various visualizations and dashboards. We also utilize predictive analytics capabilities in Microsoft Power BI to predict the number of COVID-19 cases likely to be recorded in the next few months. The obtained results showed that COVID-19 cases increased over time, particularly in crowded countries. In addition, the results proved that the death rate is reducing with time even though the cases number is increasing. © 2022 IEEE.
ABSTRACT
University web portals are considered one of the main access gateways for universities. Accessibility of university online services is a major issue for undergraduate and graduate students with disabilities. Online registration makes people with disabilities more independent to register courses, add, drop courses, or attend courses independently. Yet, many people with disabilities in Palestine face major challenges when using university websites. In order to understand the issues that face people with disabilities when they use websites of Palestinian universities, this study evaluates the accessibility of the home pages of these universities during COVID-19. In order to evaluate partially the accessibility of Palestinian universities during COVID-19, we apply automatic evaluation on all homepages of eighteen Palestinian universities. The most violated guideline is empty link which is related to success criterion 2.4.4 Link Purpose. The second highest violated error is linked image missing alternative text which is related to the success criterion 1.1.1 Non-text Content. The obtained results show that all the universities websites are not conforming to Web Content Accessibility Guidelines (WCAG) 2.0 level A. Copyright © 2020 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.