Continuous Monitoring for Diagnosis: A Wearable for Covid-19 Detection in Symptomatic Patients

We develop an approach for systematically designing continuous monitoring solutions for early symptom diagnosis. Effective early diagnosis requires collecting and correlating symptoms derived from a number of vitals. For designing a continuous monitoring solution, it is crucial to determine the vitals to be monitored for targeted detection, the errors that can be tolerated, various parameters that need to be tuned, etc. Furthermore, this determination must be made before the design of the monitoring solution itself. Our approach shows how to use a variety of machine learning techniques to systematically derive, tune, and optimize the vitals to be monitored before accessing the continuous monitoring data. We show the effectiveness of our approach in the design of a wearable for early detection of COVID-19 infections in symptomatic patients. © 2023 IEEE.

Socioeconomic impact of Covid-19 on the lower middle and lower income people in Bangladesh

The world economy is being hit badly by a fatal decease named COVID 19. This pandemic has dramatically affected all the ramifications of the world community. Hence, this research attempts to explore the impact of Covid-19 on the socioeconomic status of lower-middle and lower-income people. Paired sample t-test has been used as the statistical tool in this study to compare and contrast the income, savings and social status of the people of Bangladesh before and after COVID 19. A questionnaire survey was conducted to collect the relevant data from the lower middle and lower-income people. We distributed 400 questionnaires from which 259 usable responses were returned with a success rate of 64.75%. The results indicate that the income, savings and social status of the respondents have been affected by COVID 19 significantly. The study is supposed to help policymakers to appreciate the situation of lower-middle and lower-income groups in Bangladesh as it covered their socioeconomic condition amid COVID 19 and the challenges they faced. © 2021 Author(s).

Explaining the adoption of technology-based design of higher education during and after COVID 19 period from a developing country perspective

COVID 19 has a severe impact in every sphere of life, and education is not an exception to this. Hence, the education sector in developing countries like Bangladesh needs a quick transformation from traditional to technology-based distance learning. The factors influencing online education adoption are explained in this research with a Structural Equation Model (SEM). A survey of 405 students from the universities across Bangladesh revealed that faculty readiness, student readiness, and economic solvency positively impact the students' intention to adopt a technology-based design of higher education. Simultaneously, the online assessment system is a challenge for the students having a negative effect on their intention to adopt technology-based learning. Again, students' intention to adopt technology is substantial in explaining the adoption of online classes by them. The study suggests combining the classroom model with the e-learning model to create a cohesive learning system in the long run. Thus, the model proposed in this research has a crucial implication, which recommends the policymakers to consider it to design a new form of technology-based education in Bangladesh.

Impact of Faculty and Student Readiness on Virtual Learning Adoption amid Covid-19

The deadly effect of Covid-19 has changed the world dramatically. The education sector is one of the worst sufferers due to the official closures of educational institutions worldwide. The government of Bangladesh has declared all the on-campus activities shut in March 2020. This paper explains the effect of faculty and student readiness in adopting virtual classes considering the mediating effect of technology adoption intention. Teachers and students from private and public universities in Bangladesh are surveyed for this research. The findings revealed that the private universities are well ahead of providing online education as their faculty and students are ready with logistics and mindset to adopt technology-based virtual learning while the public university stakeholders are yet to initiate it. It is concluded that the lack of readiness of public universities will create a massive gap between public and private university education and rural and urban students as well. The proposed model of this research can help the policymakers and the government in formulating policy guidelines for bringing all the students and teachers on virtual education platforms irrespective of their university affiliations.