Systemic SARS-CoV-2-specific antibody responses to infection and to COVID-19 and BCG vaccination (preprint)

SARS-CoV-2 infections elicit antibodies against the viral spike (S) and nucleocapsid (N) proteins; COVID-19 vaccines against the S-protein only. The BCG-Corona trial, initiated in March 2020 in SARS-CoV-2-naive Dutch healthcare workers, captured several epidemic peaks and the introduction of COVID-19 vaccines during the one-year follow-up. We assessed determinants of systemic anti-S1 and anti-N immunoglobulin type G (IgG) responses using trial data. Participants were randomized to BCG or placebo vaccination, reported daily symptoms, SARS-CoV-2 test results, and COVID-19 vaccinations, and donated blood for SARS-CoV-2 serology at two time points. In the 970 participants, anti-S1 geometric mean antibody concentrations (GMCs) were much higher than anti-N GMCs. Anti-S1 GMCs significantly increased with increasing number of immune events (SARS-CoV-2 infection or COVID-19 vaccination): 104.7 international units (IU)/ml, 955.0 IU/ml, and 2290.9 IU/ml for one, two, and three immune events, respectively (p<0.001). In adjusted multivariable linear regression models, anti-S1 and anti-N log10 concentrations were significantly associated with infection severity, and anti-S1 log10 concentration with COVID-19 vaccine type/dose. In univariable models, anti-N log10 concentration was also significantly associated with acute infection duration, and severity and duration of individual symptoms. Antibody concentrations were not associated with Long COVID or long-term loss of smell/taste.

Nationwide SARS-CoV-2 Seroprevalence Trends in the Netherlands in the Variant of Concern Era, 2021-2022: an Ongoing Prospective Cohort Study (preprint)

BackgroundRepeated population-based SARS-CoV-2 serosurveillance is key in complementing other surveillance tools. AimAssessing trends in infection- and/or vaccine-induced immunity, including breakthrough infections, among (sub)groups and regions in the Dutch population during the Variant of Concern (VOC)-era whilst varying levels of stringency, to evaluate population immunity dynamics and inform future pandemic response planning. MethodsIn this prospective population-based cohort, randomly-selected participants (n=9,985) aged 1-92 years (recruited since early-2020) donated home-collected fingerstick blood samples at six timepoints in 2021-2022, covering waves dominated by Alpha, Delta, and Omicron (BA.1, BA.2, BA.5). IgG antibody assessments against Spike-S1 and Nucleoprotein were combined with vaccination- and testing data to estimate infection-induced (inf) and total (infection- and vaccination-induced) seroprevalence. ResultsIn 2021, nationwide inf-seroprevalence rose modestly from 12% since Alpha to 26% amidst Delta, while total seroprevalence increased rapidly to nearly 90%, particularly fast in vulnerable groups (i.e., elderly and those with comorbidities). Highest infection rates were noticeable in adolescents and young adults, low/middle educated elderly, non-Western, contact professions (other than healthcare), and low-vaccination coverage regions. In 2022, following Omicron emergence, inf-seroprevalence elevated sharply to 62% and further to 86%, with frequent breakthrough infections and reduction of seroprevalence dissimilarities between most groups. Whereas >90% of <60-year-olds had been infected, 30% of vaccinated vulnerable individuals had not acquired hybrid immunity. ConclusionAlthough total SARS-CoV-2 seroprevalence had increased rapidly, infection rates were unequally distributed within the Dutch population. Ongoing tailored vaccination efforts and (sero-)monitoring of vulnerable groups remain important given their lowest rate of hybrid immunity and highest susceptibility to severe disease.

Nursing Student Teaching-Learning: Resonances and Dissonances of Caring/Care

Objective: To describe and analyze the resonances and dissonances of caring perceived by the student during the teaching-learning process. Method: A qualitative, descriptive study with a phenomenological and dialectical approach. The information was collected utilizing an in-depth interview, using thematic content analysis. Twenty-one nursing students from the ninth and tenth cycles of a private university took part in the study, and the setting was the nursing school in the city of Trujillo. Results: four categories emerged: resonances of care, dissonances, awareness in the practice of human values, and innovative strategies. Conclusion: Teaching-learning with resonances of humanized care is visualized when the teacher is open, attentive, and transmits values, trust, and empathy, generating a sensitive and humane environment. But students also perceive dissonance as teacher neglect generated by negative attitudes. The teaching-learning process requires constant innovation so that nursing care is transmitted in the best way from a humanistic, scientific, ethical, and technological point of view and is experienced by the actors involved: teachers and students.

'Who is telling the truth?' Migrants' experiences with COVID-19 related information in Norway: a qualitative study.

AIMS: The over-representation of migrants among those infected by COVID-19 in high-income countries has spurred questions about insufficient distribution of health information to society's subgroups. Our study aimed to shed light on migrants' experiences with information relating to COVID-19 in Norway. METHODS: We conducted 55 semi-structured interviews with migrants from five different countries living in Norway: Somalia (10), Syria (15), Sri Lanka (10), Chile (10), and Poland (10). The interviews were performed by bilingual researchers with a migrant background, audio-recorded, transcribed and thematically analysed. RESULTS: We identified the four key themes of multiple and contradictory information sources, language barriers, conspiracy theories/speculations, strategies for information provision and ways ahead. Participants accessed and combined several often transnational sources of information. Information was perceived as confusing and contradictory and there was a wish for more translated information. CONCLUSIONS: It is important to recognise the specific factors affecting migrants' ability to receive, trust and use health-related information during pandemics and other health crises.

Assessment of hybrid population immunity to SARS-CoV-2 following breakthrough infections of distinct SARS-CoV-2 variants (preprint)

Immunity induced by vaccination and infection, referred to as hybrid immunity, provides better protection against SARS-CoV-2 infections compared to immunity induced by vaccinations alone. To assess the development of hybrid immunity we investigated the induction of Nucleoprotein-specific antibodies in PCR-confirmed infections by Delta or Omicron in vaccinated individuals (n = 520). Eighty-two percent of the participants with a breakthrough infection reached N-seropositivity. N-seropositivity was accompanied by Spike S1 antibody boosting, and independent of vaccination status or virus variant. Following the infection relatively more antibodies to the infecting virus variant were detected. In conclusion, these data show that hybrid immunity through breakthrough infections is hallmarked by Nucleoprotein antibodies and repertoire broadening of Spike antibodies. Exposure to future SARS-CoV-2 variants may therefore continue to maintain and broaden vaccine-induced population immunity.

Are gold and cryptocurrency a safe haven for stocks and bonds? Conventional vs Islamic markets during the COVID-19 pandemic

Purpose: This study aims to identify the ability of gold and cryptocurrency (Cryptocurrency Uncertainty Index (UCRY) Price) as safe haven assets (SHA) for stocks and bonds in both conventional (i.e. stock indices and government bonds) and Islamic markets (i.e. Islamic stock indices and Islamic bonds (IB)). Design/methodology/approach: The authors employed the nonadditive panel quantile regression model by Powell (2016). It measured the safe haven characteristics of gold and UCRY Price for stock indices, government bonds, Islamic stocks, and IB under gold circumstances and level of cryptocurrency uncertainty, respectively. The period spanned from 11 March 2020 to 31 December 2021. Findings: This study discovered three findings, including: (1) gold is a strong safe haven for stocks and bonds in conventional and Islamic markets under bearish conditions;(2) UCRY Price is a strong safe haven for conventional stocks and bonds but only a weak safe haven for Islamic stocks under high crypto uncertainty;and (3) gold offers a safe haven in both emerging and developed countries, while UCRY Price provides a better safe haven in developed than in emerging countries. Practical implications: Gold always wins big for safe haven properties during unstable economy. It can also win over investors who consider shariah compliant products. Therefore, it should be included in an investor's portfolio. Meanwhile, cryptocurrencies are more common for developed countries. Thus, the governments and regulators of emerging countries need to provide more guidance around cryptocurrency so that the societies have better literacy. On top of that, the investors can consider crypto to mitigate risks but with limited safe haven functions. Originality/value: The originality aspects of this study include: (1) four chosen assets from conventional and Islamic markets altogether (i.e. stock indices, government bonds, Islamic stock indices and IB);(2) indicator countries selected based on the most used and owned cryptocurrencies for the SHA study;and (3) the utilization of UCRY Price as a crypto indicator and a further examination of the SHA study toward four financial assets. © 2023, Michaelia Widjaja, Gaby and Shinta Amalina Hazrati Havidz.

Community-based COVID-19 active case finding and rapid response in the Democratic Republic of the Congo: Improving case detection and response.

A community-based coronavirus disease (COVID-19) active case-finding strategy using an antigen-detecting rapid diagnostic test (Ag-RDT) was implemented in the Democratic Republic of Congo (DRC) to enhance COVID-19 case detection. With this pilot community-based active case finding and response program that was designed as a clinical, prospective testing performance, and implementation study, we aimed to identify insights to improve community diagnosis and rapid response to COVID-19. This pilot study was modeled on the DRC's National COVID-19 Response Plan and the COVID-19 Ag-RDT screening algorithm defined by the World Health Organization (WHO), with case findings implemented in 259 health areas, 39 health zones, and 9 provinces. In each health area, a 7-member interdisciplinary field team tested the close contacts (ring strategy) and applied preventive and control measures to each confirmed case. The COVID-19 testing capacity increased from 0.3 tests per 10,000 inhabitants per week in the first wave to 0.4, 1.6, and 2.2 in the second, third, and fourth waves, respectively. From January to November 2021, this capacity increase contributed to an average of 10.5% of COVID-19 tests in the DRC, with 7,110 positive Ag-RDT results for 40,226 suspected cases and close contacts who were tested (53.6% female, median age: 37 years [interquartile range: 26.0-50.0)]. Overall, 79.7% (n = 32,071) of the participants were symptomatic and 7.6% (n = 3,073) had comorbidities. The Ag-RDT sensitivity and specificity were 55.5% and 99.0%, respectively, based on reverse transcription polymerase chain reaction analysis, and there was substantial agreement between the tests (k = 0.63). Despite its limited sensitivity, the Ag-RDT has improved COVID-19 testing capacity, enabling earlier detection, isolation, and treatment of COVID-19 cases. Our findings support the community testing of suspected cases and asymptomatic close contacts of confirmed cases to reduce disease spread and virus transmission.

Digital dashboards visualizing public health data: a systematic review.

Introduction: Public health is not only threatened by diseases, pandemics, or epidemics. It is also challenged by deficits in the communication of health information. The current COVID-19 pandemic demonstrates that impressively. One way to deliver scientific data such as epidemiological findings and forecasts on disease spread are dashboards. Considering the current relevance of dashboards for public risk and crisis communication, this systematic review examines the state of research on dashboards in the context of public health risks and diseases. Method: Nine electronic databases where searched for peer-reviewed journal articles and conference proceedings. Included articles (n = 65) were screened and assessed by three independent reviewers. Through a methodological informed differentiation between descriptive studies and user studies, the review also assessed the quality of included user studies (n = 18) by use of the Mixed Methods Appraisal Tool (MMAT). Results: 65 articles were assessed in regards to the public health issues addressed by the respective dashboards, as well as the data sources, functions and information visualizations employed by the different dashboards. Furthermore, the literature review sheds light on public health challenges and objectives and analyzes the extent to which user needs play a role in the development and evaluation of a dashboard. Overall, the literature review shows that studies that do not only describe the construction of a specific dashboard, but also evaluate its content in terms of different risk communication models or constructs (e.g., risk perception or health literacy) are comparatively rare. Furthermore, while some of the studies evaluate usability and corresponding metrics from the perspective of potential users, many of the studies are limited to a purely functionalistic evaluation of the dashboard by the respective development teams. Conclusion: The results suggest that applied research on public health intervention tools like dashboards would gain in complexity through a theory-based integration of user-specific risk information needs. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=200178, identifier: CRD42020200178.

Immune Response following BNT162b2 mRNA COVID-19 Vaccination in Pediatric Cancer Patients.

COVID-19 vaccinations are recommended for children with cancer but data on their vaccination response is scarce. This study assesses the antibody and T-cell response following a 2- or 3-dose vaccination with BNT162b2 mRNA COVID-19 vaccine in children (5-17 years) with cancer. For the antibody response, participants with a serum concentration of anti-SARS-CoV-2 spike 1 antibodies of >300 binding antibody units per milliliter were classified as good responders. For the T-cell response, categorization was based on spike S1 specific interferon-gamma release with good responders having >200 milli-international units per milliliter. The patients were categorized as being treated with chemo/immunotherapy for less than 6 weeks (Tx < 6 weeks) or more than 6 weeks (Tx > 6 weeks) before the first immunization event. In 46 patients given a 2-dose vaccination series, the percentage of good antibody and good T-cell responders was 39.3% and 73.7% in patients with Tx < 6 weeks and 94.4% and 100% in patients with Tx > 6 weeks, respectively. An additional 3rd vaccination in 16 patients with Tx < 6 weeks, increased the percentage of good antibody responders to 70% with no change in T-cell response. A 3-dose vaccination series effectively boosted antibody levels and is of value for patients undergoing active cancer treatment.

BCG Vaccination of Health Care Workers Does Not Reduce SARS-CoV-2 Infections nor Infection Severity or Duration: a Randomized Placebo-Controlled Trial.

Bacillus Calmette-Guerin (BCG) vaccination has been hypothesized to reduce severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, severity, and/or duration via trained immunity induction. Health care workers (HCWs) in nine Dutch hospitals were randomized to BCG or placebo vaccination (1:1) in March and April 2020 and followed for 1 year. They reported daily symptoms, SARS-CoV-2 test results, and health care-seeking behavior via a smartphone application, and they donated blood for SARS-CoV-2 serology at two time points. A total of 1,511 HCWs were randomized and 1,309 analyzed (665 BCG and 644 placebo). Of the 298 infections detected during the trial, 74 were detected by serology only. The SARS-CoV-2 incidence rates were 0.25 and 0.26 per person-year in the BCG and placebo groups, respectively (incidence rate ratio, 0.95; 95% confidence interval, 0.76 to 1.21; P = 0.732). Only three participants required hospitalization for SARS-CoV-2. The proportions of participants with asymptomatic, mild, or moderate infections and the mean infection durations did not differ between randomization groups. In addition, unadjusted and adjusted logistic regression and Cox proportional hazards models showed no differences between BCG and placebo vaccination for any of these outcomes. The percentage of participants with seroconversion (7.8% versus 2.8%; P = 0.006) and mean SARS-CoV-2 anti-S1 antibody concentration (13.1 versus 4.3 IU/mL; P = 0.023) were higher in the BCG than placebo group at 3 months but not at 6 or 12 months postvaccination. BCG vaccination of HCWs did not reduce SARS-CoV-2 infections nor infection duration or severity (ranging from asymptomatic to moderate). In the first 3 months after vaccination, BCG vaccination may enhance SARS-CoV-2 antibody production during SARS-CoV-2 infection. IMPORTANCE While several BCG trials in adults were conducted during the 2019 coronavirus disease epidemic, our data set is the most comprehensive to date, because we included serologically confirmed infections in addition to self-reported positive SARS-CoV-2 test results. We also collected data on symptoms for every day during the 1-year follow-up period, which enabled us to characterize infections in detail. We found that BCG vaccination did not reduce SARS-CoV-2 infections nor infection duration or severity but may have enhanced SARS-CoV-2 antibody production during SARS-CoV-2 infection in the first 3 months after vaccination. These results are in agreement with other BCG trials that reported negative results (but did not use serological endpoints), except for two trials in Greece and India that reported positive results but had few endpoints and included endpoints that were not laboratory confirmed. The enhanced antibody production is in agreement with prior mechanistic studies but did not translate into protection from SARS-CoV-2 infection.

DFT and In-silico Investigations along with In-vitro Antitumor and Antimicrobial Assessments of Pharmacological Molecules.

BACKGROUND: Molecules, bearing an active methylene bridge, are deemed to be one of the most fruitful and remarkable precursors that have been incorporated in the synthetic strategy of an assortment of bioactive compounds. OBJECTIVE: The reactive methylene derivatives have been endowed with multiple reactions, which target biological and medicinal applications and are resultant from their structural multiplicity and discrete reactivity. METHODS: The present report endeavors to synthesize, characterize, and in-vitro evaluate several novel propanoic acid, coumarin, and pyrazole derivatives as antimicrobial and antiproliferative agents. The in-silico molecular docking, physicochemical, pharmacokinetic/ADMET, bioactivity, and drug likeness predictions were conducted for all the synthesized compounds. RESULTS: The highest docking score is -9.9 and -8.3 kcal/mol respectively for compound 9 (azo-coumarin) and 13 (acrylic acid derivative) with the target proteins E. coli topoisomerase II, DNA gyrase subunit B and PI3K p110α domain, respectively. Moreover, this study predicts the synthesized molecules that may inhibit the novel COVID-19, obtained through virtual screenings only, where compounds 9, 13, 14, 17, and 19 came to the limelight with good docking scores i.e more than 8 Kcal/mol. Safety profiling of the most potent compound 9 was utilized against normal cell line and hemolytic effect on RBCs. CONCLUSION: The in-silico ADMET studies of the synthesized compounds revealed moderate to good drug likeness, high gastro intestinal (GI) absorption, inhibits the Cytochrome CYP2C19 and CYP2C9 and all the derivatives possess non-cancerous nature. The in-vitro screening demonstrated that several of the novel molecules are promising drug candidates. The density function theory (DFT) theoretical calculations were performed to calculate the energy levels of the FMOs and their energy gabs, dipole moment as well as the molecular electrostatic potential. Such parameters along with the physicochemical parameters could be good tool to confirm the biological activity.

Early computational detection of potential high-risk SARS-CoV-2 variants.

The ongoing COVID-19 pandemic is leading to the discovery of hundreds of novel SARS-CoV-2 variants daily. While most variants do not impact the course of the pandemic, some variants pose an increased risk when the acquired mutations allow better evasion of antibody neutralisation or increased transmissibility. Early detection of such high-risk variants (HRVs) is paramount for the proper management of the pandemic. However, experimental assays to determine immune evasion and transmissibility characteristics of new variants are resource-intensive and time-consuming, potentially leading to delays in appropriate responses by decision makers. Presented herein is a novel in silico approach combining spike (S) protein structure modelling and large protein transformer language models on S protein sequences to accurately rank SARS-CoV-2 variants for immune escape and fitness potential. Both metrics were experimentally validated using in vitro pseudovirus-based neutralisation test and binding assays and were subsequently combined to explore the changing landscape of the pandemic and to create an automated Early Warning System (EWS) capable of evaluating new variants in minutes and risk-monitoring variant lineages in near real-time. The system accurately pinpoints the putatively dangerous variants by selecting on average less than 0.3% of the novel variants each week. The EWS flagged all 16 variants designated by the World Health Organization (WHO) as variants of interest (VOIs) if applicable or variants of concern (VOCs) otherwise with an average lead time of more than one and a half months ahead of their designation as such.

Viral clearance, pharmacokinetics and tolerability of ensovibep in patients with mild to moderate COVID-19: A phase 2a, open-label, single-dose escalation study.

AIM: To assess viral clearance, pharmacokinetics, tolerability and symptom evolution following ensovibep administration in symptomatic COVID-19 outpatients. METHODS: In this open-label, first-in-patient study a single dose of either 225 mg (n = 6) or 600 mg (n = 6) of ensovibep was administered intravenously in outpatients with mild-to-moderate COVID-19 symptoms. Pharmacokinetic profiles were determined (90-day period). Pharmacodynamic assessments consisted of viral load (qPCR and cultures) and symptom questionnaires. Immunogenicity against ensovibep and SARS-CoV-2-neutralizing activity were determined. Safety and tolerability were assessed throughout a 13-week follow-up. RESULTS: Both doses showed similar pharmacokinetics (first-order) with mean half-lives of 14 (SD 5.0) and 13 days (SD 5.7) for the 225- and 600-mg groups, respectively. Pharmacologically relevant serum concentrations were maintained in all subjects for at least 2 weeks postdose, regardless of possible immunogenicity against ensovibep. Viral load changes from baseline at day 15 were 5.1 (SD 0.86) and 5.3 (SD 2.2) log10 copies/mL for the 225- and 600-mg doses, respectively. COVID-19 symptom scores decreased from 10.0 (SD 4.1) and 11.3 (SD 4.0) to 1.6 (SD 3.1) and 3.3 (SD 2.4) in the first week for the 225- and 600-mg groups, respectively. No anti-SARS-CoV-2 neutralizing activity was present predose and all patients had SARS-CoV-2 antibodies at day 91. Adverse events were of mild-to-moderate severity, transient and self-limiting. CONCLUSION: Single-dose intravenous administration of 225 or 600 mg of ensovibep appeared safe and well tolerated in patients with mild-to-moderate COVID-19. Ensovibep showed favourable pharmacokinetics in patients and the pharmacodynamic results warrant further research in a larger phase 2/3 randomized-controlled trail.

Early computational detection of potential high-risk SARS-CoV-2 variants

The ongoing COVID-19 pandemic is leading to the discovery of hundreds of novel SARS-CoV-2 variants daily. While most variants do not impact the course of the pandemic, some variants pose an increased risk when the acquired mutations allow better evasion of antibody neutralisation or increased transmissibility. Early detection of such high-risk variants (HRVs) is paramount for the proper management of the pandemic. However, experimental assays to determine immune evasion and transmissibility characteristics of new variants are resource-intensive and time-consuming, potentially leading to delays in appropriate responses by decision makers. Presented herein is a novel in silico approach combining spike (S) protein structure modelling and large protein transformer language models on S protein sequences to accurately rank SARS-CoV-2 variants for immune escape and fitness potential. Both metrics were experimentally validated using in vitro pseudovirus-based neutralisation test and binding assays and were subsequently combined to explore the changing landscape of the pandemic and to create an automated Early Warning System (EWS) capable of evaluating new variants in minutes and risk-monitoring variant lineages in near real-time. The system accurately pinpoints the putatively dangerous variants by selecting on average less than 0.3% of the novel variants each week. The EWS flagged all 16 variants designated by the World Health Organisation (WHO) as variants of interest (VOIs) if applicable or variants of concern (VOCs) otherwise with an average lead time of more than one and a half months ahead of their designation as such.

The COVID-19 Pandemic and Recent Earthquake in Zagreb Together Significantly Increased the Disease Severity of Patients with Atopic Dermatitis.

BACKGROUND/OBJECTIVE: Stress may affect patients with atopic dermatitis (AD). The aim of this study was to examine the impact of the COVID-19 pandemic and the earthquake in Zagreb, Croatia (March 2020), on AD patients and their disease severity, symptoms/itch, and perceived stress. METHODS: Our observational cross-sectional study included three groups of AD patients diagnosed by a physician: group 1 (n = 50), who experienced both the pandemic (quarantine) and the earthquake; group 2 (n = 50), who experienced only the pandemic; and group 3 (n = 50), the comparison group, who experienced neither disaster (patients examined 2018-2019). Groups 1 and 2 were examined May-June 2020, immediately after the national lockdown/quarantine. Disease severity (SCORAD), data from the Perceived Stress Scale (PSS), and information on patients' confirmed allergies were recorded for all groups, while groups 1 and 2 additionally completed a questionnaire concerning their disease, hand hygiene, and experience during the pandemic and/or earthquake. RESULTS: The patients exposed to both disasters reported more pronounced AD worsening (p < 0.001; r = 0.388) and more frequent itching (p < 0.001; r = 0.350) than those exposed to the pandemic only. Notably, we found certain differences by gender: during the pandemic, women significantly more frequently washed their hands (81% of women washed "very frequently," while 52% of men washed "quite often") and had significantly higher PSS levels than men (p < 0.05). Concerning allergies, present or absent, during the pandemic, there was no significant difference in SCORAD between groups 1 and 2, neither when analyzed separately for indoor nor for outdoor allergens. The most commonly reported psychological disturbances during the pandemic were concern (46%), anger (18%), anxiety (16%), depression (9%), and increased alcohol, cigarette, and opioid agent use (6%). CONCLUSION: The COVID-19 pandemic together with the earthquake significantly increased disease severity and influenced AD worsening, itching, and psychological disturbances. This indicates that stressful events meaningfully affect the course of AD.

Teaching during COVID-19: Faculty Members' Perceptions during and after an "Exceptional" Semester

Purpose: With the arrival of the COVID-19 pandemic in Europe in March 2020, higher education institutions (HEIs) worldwide were confronted with creating online courses to complete the semester. While emphasizing positive elements such as flexibility and innovative solutions, the literature focused on numerous faculty problems such as online fatigue, emotional well-being and stress. This paper aims to explore faculty perceptions of teaching during the exceptional circumstances of the COVID-19 pandemic. Design/methodology/approach: Two surveys, in the first week and at the end of the semester, were conducted at a business school in Switzerland via the program Lima. A total of 19 faculty members participated in the survey. Of the participants, 56.7% responded in the first survey and 70.9% responded in the second. Findings: The findings revealed that the faculty's impressions of their online courses remained positive. The most significant issue cited was time. According to faculty estimations, more than ten additional hours per week were spent preparing for online courses. Nonetheless, many faculty members reported interest in continuing online practices in their future courses. Practical implications: The COVID-19 pandemic pushed HEIs to embrace the digital revolution while teaching in a competence-oriented mode. However, moving forward, HEIs must mitigate the long-term effects by careful planning and evaluating their digital readiness as an institution and offering training for their faculty and students when necessary. Originality/value: The study contributes to the existing literature by analyzing one stakeholder group, i.e. faculty members, and their perceptions of teaching during a worldwide pandemic.

Patients' perspectives of recovery after COVID-19 critical illness: An interview study.

BACKGROUND: Critical illness is a traumatic experience, often resulting in post-intensive care syndrome, affecting people's physical, psychological, emotional, and social well-being. The early recovery period is associated with increased risk, negatively impacting longer-term outcomes. AIMS: The aims of this study were to understand the recovery and rehabilitation needs of people who survive a COVID-19 critical illness. STUDY DESIGN: An exploratory descriptive qualitative interview study with 20 survivors of COVID-19 critical illness from two community-based healthcare settings in London, England. Data collection took place September 2020-April 2021, at least 1 month after hospital discharge by telephone or virtual platform. Data were subjected to inductive thematic analysis and mapped deductively to the three core concepts of self-determination theory: autonomy, competence and relatedness. RESULTS: Three key themes emerged: traumatic experience, human connection and navigating a complex system. Participants described how societal restrictions, fear and communication problems caused by the pandemic added to their trauma and the challenge of recovery. The importance of positive human connections, timely information and support to navigate the system was emphasized. CONCLUSIONS: Whilst findings to some extent mirror those of other qualitative pre-pandemic studies, our findings highlight how the uncertainty and instability caused by the pandemic add to the challenge of recovery affecting all core concepts of self-determination (autonomy, competence, relatedness). RELEVANCE TO CLINICAL PRACTICE: Understanding survivors' perspectives of rehabilitation needs following COVID-19 critical illness is vital to delivery of safe, high-quality care. To optimize chances of effective recovery, survivors desire a specialist, co-ordinated and personalized recovery pathway, which reflects humanized care. This should be considered when planning future service provisions.