Distance Education in the COVID-19 Pandemic

As the COVID-19 disease rapidly transmitted through interpersonal contact, it required people to avoid physical contact. Almost all countries in the world have suspended the education of children and youth, a highly active network, and switched to online education to reduce the spread of the virus. Distance education, unlike the traditional education system, has a structure that does not require students to be on a campus or be in the same environment with instructors. As the global epidemic broke out, the distance education system was reviewed, and a new education order started to be established. Students, parents, and teachers found themselves in a situation they were not used to before. In this study, the advantages and disadvantages of distance education are analyzed, hybrid and hybrid-flexible (hyflex) models are examined, the educational changes during the pandemic period as well as the anticipations of the post-pandemic period are reviewed, and lastly, future educational solutions are proposed.

Creating an Agile University During COVID

The world has seen conflict and political instability since World War II, but currently the world is uniting to fight the COVID-19 pandemic, although education has suffered with schools and universities closed for long periods. The practice of social distancing minimized interpersonal contact in all higher educational institutions. Afghanistan was catapulted into the online learning community despite having limited infrastructure. The American University of Afghanistan (AUAF) had faced disruption of normal university life in 2016 when terrorists attacked the university. This chapter will highlight some of the best practices at AUAF implemented to make the university agile. Secondary data was collected from the university to evaluate the effectiveness of e-learning, with further improvements identified, implemented, and evaluated. The findings show that while the campus prepared to open for students along with the HyFlex model of face to face, synchronous online, and asynchronous online teaching, the institution continues to remain agile, irrespective of the situation.

Telemedicine Applications in the Era of COVID-19: Telesurgery Issues

Telemedicine allows for the effective delivery of health care to patients at a distance through the application of information technology to the field of medicine. This is optimal during the COVID-19 pandemic to reduce interpersonal contact to mitigate contagion. Among the possible Telemedicine applications, there is Telesurgery, which involves more and more surgical specialties thanks to the numerous benefits in quality and cost containment. In the growing field of Telesurgery, its technical and legal implications must be considered. In this study, a traditional review of the scientific literature was carried out to identify the most relevant issues of interest in Telesurgery. The problematic legal aspects identified are mainly related to the difference in legislation between different geographical areas, which is critical in the case of malpractice. In addition, there is the possibility of a malicious hacker attack on the transmitted data stream either to steal sensitive data or to harm the patient. Finally, there are inherent difficulties with the technology used, such as latency issues in data transmission. All these critical issues are currently not adequately addressed by current legislation. Therefore, one can only hope for a legislative action to allow Telesurgery to be used safely.

Developing a self-directed career guidance intervention for South African high school learners amidst severe COVID-19 restrictions

Background: South African schools have been severely impacted by the coronavirus disease 2019 (COVID-19) pandemic in 2020. State-imposed restrictions to mitigate the spread of the infection have significantly limited direct interpersonal contact, curtailing the existing career guidance and counselling activities in schools. Crucially, in low-income settings, the social distancing regulations implied that in a year of increasing anxiety and uncertainty, many high school learners would have had to make important career-related decisions with limited or no tacit career guidance.Objectives: In response to these challenges, this study developed a self-directed career guidance intervention to provide continued career guidance support for Grade 9 learners amidst the unfolding global pandemic.Method: A cross-sectional mixed-methods design was employed to evaluate feasibility and acceptability of the intervention amongst a sample of 498 learners across eight high schools in the Cape Winelands district, Western Cape province, South Africa.Results: Favourable quantitative results were obtained assessing learners’ experiences of participating in the intervention and on the perceived impact of the intervention on their career preparedness. Participants reported a mean score of 41.25 (out of 50) for acceptability of the intervention. In addition, they reported a mean score of 17.1 (out of 20) for perceived impact of the intervention on their career preparedness. In terms of feasibility, qualitative findings revealed that the intervention improved learners’ self-knowledge and career directionality.Conclusion: The mixed-methods results confirm the feasibility and utility of implementing a self-directed career guidance intervention amongst secondary school learners. Whilst learners reported positive evaluations of the self-directed career guidance booklet, they also expressed the need for one-on-one or group engagement with the intervention content.

Using Multilevel Regression with Poststratification for Estimating Subnational Age-Specific Contact Patterns

The spread and transmission dynamics of directly transmitted airborne pathogens, such as SARS-CoV-2, are fundamentally determined by in-person contact patterns. Reliable quantitative estimates of contact patterns are critical to modeling and reducing the spread of directly transmitted infectious diseases. While national-level contact data are available in many countries, including the United States, local-level estimates of age-specific contact patterns are key since disease dynamics and public health policy vary by geography. However, collecting contact data for each state would require a very large sample and be prohibitively expensive. To overcome this challenge, we develop a flexible model to estimate age-specific contact patterns at the subnational level using national-level interpersonal contact data. Our model is based on dynamic multilevel regression with poststratification. We apply this approach to a national sample of interpersonal contact data collected by the Berkeley Interpersonal Contact Study (BICS). Results illustrate important state-level variation in levels and trends of contacts across the US.

Social distance capacity to control the COVID-19 pandemic: A systematic review on time series analysis

BACKGROUND: Reducing interpersonal contact has been one of the least expensive and most widely used COVID-19 control strategies. OBJECTIVE: This systematic review has been conducted with the aim of identifying social distancing strategies and policies and their impact on the COVID-19 pandemic. METHODS: In order to compile this systematic review, Google Scholar, PubMed, Scopus, Web of Science, Science Direct, Magiran, SID, and Irandoc databases were searched from the COVID-19 outbreak until March 2021. Keywords included “social”, “physical”, “distance”, “outbreak”, “incidence”, “prevalence”, “spread”, “new case”, “death*”, “mortality*”, “morbidity*” , “covid-19”, “coronavirus”, “sars-cov-2” and “time series*”. The articles were qualitatively evaluated by two researchers using the STROBE tool. Finally, the study data were divided into three conceptual categories by three researchers, who then agreed on one category. The practical suggestions were also categorized in the same way. RESULTS: The policies and strategies adopted to implement social distancing were included in five categories of restrictions, prohibitions, closures, incentives, and punishments. Transportation and travel restrictions, crowded places and schools closure, use of telecommunications and virtual communications, and financial and psychological support to society members were the main policies in this area. CONCLUSION: Rapid and complete vaccination of all people around the world is out of reach, therefore social distancing and the implementation of physical restraints, especially in crowded and densely populated environments, should be done extensively until COVID-19 is eradicated.

One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut

To support public health policymakers in Connecticut, we developed a flexible county-structured compartmental SEIR-type model of SARS-CoV-2 transmission and COVID-19 disease progression. Our goals were to provide projections of infections, hospitalizations, and deaths, and estimates of important features of disease transmission and clinical progression. In this paper, we outline the model design, implementation and calibration, and describe how projections and estimates were used to meet the changing requirements of policymakers and officials in Connecticut from March 2020 to February 2021. The approach takes advantage of our unique access to Connecticut public health surveillance and hospital data and our direct connection to state officials and policymakers. We calibrated this model to data on deaths and hospitalizations and developed a novel measure of close interpersonal contact frequency to capture changes in transmission risk over time and used multiple local data sources to infer dynamics of time-varying model inputs. Estimated epidemiologic features of the COVID-19 epidemic in Connecticut include the effective reproduction number, cumulative incidence of infection, infection hospitalization and fatality ratios, and the case detection ratio. We conclude with a discussion of the limitations inherent in predicting uncertain epidemic trajectories and lessons learned from one year of providing COVID-19 projections in Connecticut.

Rationing of Nursing Care and Professional Burnout Among Nurses Working in Cardiovascular Settings

Introduction: Nursing needs close interpersonal contact with the patient and emotional involvement, therefore can contribute to professional burnout and rationing of nursing care.Aim: Assessing the relationship between the rationing of nursing care and professional burnout in nursing staff.Materials and Methods: The study included a group of 219 nurses working in cardiovascular facilities. This was a cross-sectional study designed to investigate the relationship between factors of the care rationing and professional burnout. The survey data was collected with standardised and research instruments such as the revised Basel Extent of Rationing of Nursing Care questionnaire (BERNCA-R) and the Maslach Burnout Inventory (MBI).Results: The total mean BERNCA-R score was 1.38 (SD = 0.62), while the total MBI score amounted to 38.14 (SD = 22.93). The specific components of professional burnout yielded the values: emotional exhaustion (M = 44.8), job dissatisfaction (M = 40.66), and depersonalisation (M = 28.95). Multiple linear regression showed that independent predictors of BERNCA-R score were emotional exhaustion, depersonalisation, job dissatisfaction, and multi-jobs activity (p < 0.001).Conclusion: The level of rationing of nursing care in cardiovascular facilities increases along with emotional exhaustion, depersonalisation and job dissatisfaction, and multi-jobs activity.