ABSTRACT
As the world becomes more interconnected, there is an increasing need for global environments. Health professionals are expected to achieve global citizenship attributes, including being culturally competent with effective teamwork and collaboration skills to be able to provide quality care to increasingly diverse populations. The most effective way health professionals acquire these skills is through global learning. Traditionally, undergraduate health science students have been offered opportunities to participate in study abroad programs as a way of meeting their curriculum requirements for global learning. As Covid-19 has disrupted international travel worldwide, educational institutions continue to offer students an internationalization experience and ensure that all curriculum requirements can still be met. This chapter discusses the experience of the School of Nursing and Midwifery LaTrobe University, Australia, in adopting and implementing virtual mobility programs with international partner institutions. This chapter also shares a pragmatic checklist and key considerations for education providers interested in implementing this learning pedagogy in their courses. © 2022 Nova Science Publishers, Inc. All rights reserved.
ABSTRACT
Vaccination is seen as a weapon that not only profits an individual to fight the deadly SARS-CoV-2 virus but also helps in building herd immunity for the general public. There are a lot of individuals who are keen and willing to get inoculated by the Covid-19 vaccine and return back to their normal life. However, there is some public who still are unwilling for the vaccination due to vaccine hesitancy. And even after vaccination(one dose), there may be cases of breakthrough infections with mild symptoms. Unwillingness for vaccination and breakthrough infections are now very important aspects of this ongoing epidemic amid the vaccination process that needs to be challenged by responsible stakeholders. Thus, we will first formulate an ordinary differential equation (ODE) model consisting of willing and unwilling (for vaccination) population along with breakthrough infection. We will then extend ODE model to a queueing model that accounts for the movement of willing and non-willing susceptible individuals as well. The governing equations are formed and the transition rates from one stage to another are taken to follow an exponential distribution. The transient state probabilities of the model are acquired by applying the matrix method and thereafter Runge-Kutta 4th order method is employed to attain various performance indices. The parameters are estimated for our system based on the standard nonlinear least-squares method using the real data of the vaccinated (one dose) population for India between the time period of 5 March 2021 to 3 July 2021.We would first aim to study the impact of this system on the basic reproduction number ρ0. The sensitivity analysis of ρ0is done to recognize the important estimated parameters which may help in controlling the epidemic. Then the impact of the unwillingness and breakthrough infections directly helping in transmission of the infection amid the vaccination process is shown by uncertainty analy- © CSP - Cambridge, UK;I&S - Florida, USA, 2023
ABSTRACT
Background: COVID-19 spread over the last two years has been instrumental in shifting physical banking transactions to mobile-based banking transactions. Recently, M-payments have dominated online and point-of-sale (POS) transactions in the Asia-pacific region. Therefore, there was a need to study the factors influencing M-payments. This research has been conducted to determine the significant factors influencing the usage and continuance usage of M-payment apps in an emerging country and particularly how gamified features enhance the usage of M-payments apps.is study is based on the perspectives of the Unified theory of acceptance and use of technology (UTAUT2) and information system success (ISS) theory, and it adds three new determinants—trust, gamified features, and continued use of mobile payments to better explain and forecast users' behavioral intentions and continued use of mobile payment applications (M-payments apps). Method: The research has employed two studies on sample data from young users of M-payment apps (n=898), the dataset was analyzed through structural equation modelling for mediation and moderation analysis in study one. The second study was grounded through Vignette experiments to analyze the effects of the degree of gamified features on the continued usage of M-payments. Results: The results reported that behavioral intention to adopt, and usage of mobile payments are significantly mediated by gamified features and gamified features are partially mediating continuance usage of M-payments. Trust is the key to enabling continuance usage amongst the users of M-payments. These findings extend the understanding of users' continuance intention in the context of payments apps. Conclusion: This study would be helpful in presenting insights for the M-payments service providers and the associated banks to develop strategy for the continuance usage of mobile payment apps. © Association for Information Systems.
ABSTRACT
Dalit masses have historically been deprived of all sorts of privileges both socially and economically. But the debacle experience of rural Dalits during the pandemic in developing countries like India pose serious difficulties and challenges for accessing state-sponsored package and the state of Odisha is not an exception in this regard. Though Dalits’ conditions still remain unchanged due to ill practices of untouchability, the recent surge of coronavirus further pushed them into a deep catastrophic situation. This new experience brought multiple burdens on Dalits that affects their livelihood where poverty and malnutrition increased to some extent. In addition, the response of local governments during the first wave of COVID-19 across the country proved encouraging, but with the emergence of the second wave of COVID-19, it becomes pathetic in all aspects, which caused thousands of infections and deaths. The condition of rural Dalits of Odisha remains unchanged though the Constitution of India guarantees rights for all-round development of all sections of people, Dalits still suffer from exploitation and discrimination. This study attempts to understand the response of local government towards the rural Dalits of Odisha during the second wave of COVID-19 and tries to explore the ground reality that there is inherent local corruption and mismanagement of local funds, which caused the worst conditions for rural Dalits in the villages where majority populations are Dalits. The findings and inferences of the study reveal that Dalits of Odisha in general and Remuna Block of Balasore district in particular, faced more challenges in income, education and lack of health facilities during the second wave of COVID-19 due to their marginalization and lack of knowledge about COVID-19 having low economic status. The suggestive measures have been made at the end of the article to minimize such unpleasant conditions of Dalits and their miserable conditions at any stage, especially during the outbreak of any pandemic, natural calamities must be taken into consideration by focusing on different social and economic dimensions that empower the Dalits. © 2022 Indian Institute of Management, Ahmedabad.
ABSTRACT
Coronavirus Disease 2019 (COVID-19) is a high death rate respiratory condition that requires easy-to-reach markers for prediction. The electrocardiograph (ECG) alterations that may occur after COVID-19 hospitalization have not been fully studied yet. COVID-19 also affects heart function, which can be seen on an ECG. As a result, ECG can be used to detect virus-infected individuals. The database consists of ECG images. In this scenario, a convolution neural network (CNN) is utilized to classify COVID-19 ECG. The model is made up of eight layers, including a convolution layer, a max-pooling layer and a dense layer. The ECG image is fed into a CNN model, which classifies the COVID-19 ECG. The model provides us with 98.11% accuracy, 98.6% sensitivity and 96.40% specificity. Although 100.00% of the categorization of normal images and COVID-19 ECGs were not accurately determined by the proposed CNN model, this is the first CNN model to categorize ECG images into normal and COVID-19 classes from the ECG database and provide additional diagnostic to medical experts. © 2021 ASSA.
ABSTRACT
Introduction: According to the WHO guidelines the use of masks has been advocated as one of the most essential and effective barriers against the transmission of the Novel Coronavirus. Objectives: For oral healthcare professionals it is imperative to understand details regarding personal protective equipment. This is because they are in proximity to the patients while carrying out treatments and as such are at a high risk of transmission because of various aerosol-generating procedures. Different types of masks are available which have different efficiency levels in terms of filtration, fluid resistance and shielding from the virus. Description and Results: This article reviews the different types of masks and respirators available and how effective they are in providing protection and safety against virus transmission. Conclusion: Use of an appropriate mask or respirator, depending on the procedure being done, is the need of the hour along with proper personal protective measures.