ABSTRACT
This study aims to identify the consequences of lockdowns due to the coronavirus on female academics in Jordan. An online survey was distributed via social media and filled in by 131 female participants from different academic ranks in public and private universities. The study investigated four main variables: the consequences of lockdown on the social aspect, psychological aspect, and economic aspect, and also on how time was spent during the lockdown, and the correlation between these variables and other social and personal factors (such as the marital status, etc.). It was found that female academics are significantly affected on both levels: the economic aspect and the activities spent during the lockdown, followed by the psychological and social aspects. The results show that marital status played a significant role, as single female academics are generally affected more than married ones. Economically, it is found that the sector in which the participant works in has a significant impact. Female academics working in the private sector are affected more than those working in the public sector. In addition, the academic degree the participant holds plays a key role. Academics with master's degrees are affected economically and psychologically, and even in terms of spending time during the lockdown. © 2022 DSR Publishers/ The University of Jordan.
ABSTRACT
The COVID-19 pandemic has caused immense suffering in several aspects of human life worldwide. The present study investigates the potential social and economic impacts of Covid-19 on Jordanian society during home quarantine. An online survey was distributed electronically to a sample of (1115) members of the Jordanian society. In the forty-questions, we attempted to examine the impact of the quarantine on the people on the socio-economic level using a 5-point Likert scale. The paper came out with the following findings. First, the members of the Jordanian society are affected more economically than socially;however, Jordanian women are found to be more affected on the social and economic levels. Second, people working in the private sector, daily workers, business owners, retirees and the unemployed are more adversely affected economically than those working in the governmental (public) sector. We offer a set of recommendations, foremost of which is to cease the closure of childcare centres (nurseries and kindergartens) to safeguard women's economic participation and augment its ratio and to safeguard the limited gains of women. In addition, to support the workers in the private sector and daily workers during the pandemic. It recommended conducting further similar studies related to the period of recovery from the spread of the virus to define the requirements for overcoming the repercussions of the pandemic. © 2022 NSP Natural Sciences Publishing Cor.
ABSTRACT
Background: The daily cases and fatalities in the COVID-19 pandemic are still on the rise. This study aimed to examine the epidemiological trends of the COVID-19 patients at an early stage in the pandemic.
ABSTRACT
Several newly nonlinear models for describing dynamics of COVID-19 pandemic have been proposed and investigated in literature recently. In light of these models, we attempt to reveal the role of fractional calculus in describing the growth of COVID-19 dynamics implemented on Saudi Arabia’s society over 107 days;from 17 Dec 2020 to 31 March 2021. Above is achieved by operating two fractional-order differential operators, Caputo and the Caputo-Fabrizio operators, instead of the classical one. One of expanded SEIR models is utilized for achieving our purpose. With the help of using the Generalized Euler Method (GEM) and Adams-Bashforth Method (ABM), the numerical simulations are performed respectively in view of the Caputo and Caputo-Fabrizio operators. Accordance with said, the stability analysis of the two proposed fractional-order models is discussed and explored in view of obtaining the equilibrium points, determining the reproductive number (R0) and computing the elasticity indices of R0. Several numerical comparisons reveal that the fractional-order COVID-19 models proposed in this work are better than that of classical one when such comparisons are performed between them and some real data collected from Saudi Arabia’s society. This inference together with the cases predictions that could easily deduced from the proposed fractional-order models can allow primary decision makers and influencers to set the right plans and logic strategies that should be followed to face this pandemic. © 2022 the Author(s), licensee AIMS Press.
ABSTRACT
Due to the COVID-19 pandemic, most universities around the world started to employ distance-learning tools. To cope with these emergency conditions, some universities in Jordan have developed "mobile learning platforms" as a new tool for distance teaching and learning for students. This experience in Jordan is still new and needs to be evaluated in order to identify its advantages and challenges. Therefore, this study aims to investigate students' perceptions about mobile learning platforms as well as to identify the crucial factors that influence students' use of mobile learning platforms. An online quantitative survey technique using Twitter was employed to collect the data. A two-staged ANN-SEM modelling technique was adopted to analyze the causal relationships among constructs in the research model. The results of the study indicate that content quality and service quality significantly influenced perceived usefulness of mobile learning platforms. In addition, perceived ease of use and perceived usefulness significantly influenced behavioral intention to use mobile learning platforms. The study findings provide useful suggestions for decision makers, service providers, developers, and designers in the ministry of education as to how to assess and enhance mobile learning platform quality and understanding of multidimensional factors for effectively using mobile learning platforms.