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Objective: COVID-19 vaccine-neutralizing antibodies provide early data on potential vaccine effectiveness, but their usefulness depends on study reliability and reporting quality. Methods: We systematically evaluated 50 published post-vaccination neutralizing antibody studies for key parameters that determine study and data quality regarding sample size, SARS-CoV-2 infection, vaccination regimen, sample collection period, demographic characterization, clinical characterization, experimental protocol, live virus and pseudo-virus details, assay standardization, and data reporting. Each category was scored from very high to low or unclear quality, with the lowest score determining the overall study quality score. Results: None of the studies attained an overall high or very high score, 8% (n = 4) attained moderate, 42% (n = 21) low, and 50% (n = 25) unclear. The categories with the fewest studies assessed as ≥ high quality were SARS-CoV-2 infection (42%), sample size (30%), and assay standardization (14%). Overall quality was similar over time. No association between journal impact factor and quality score was found. Conclusions: We found that reporting in neutralization studies is widely incomplete, limiting their usefulness for downstream analyses. [ABSTRACT FROM AUTHOR]

Understanding the patient's experience with COVID-19 was essential to providing high-quality, person-centered care during the pandemic. Having empathy or being able to understand and respond to the patient's experience may lead to improved outcomes for both patients and clinicians. There is mixed evidence about how best to teach empathy, particularly related to promoting empathy during COVID-19. Literature suggests that virtual reality may be effective in empathy-related education. In collaboration with four patient partners with lived experience, a 360° VR video was developed reflecting their stories and interactions with the healthcare system. The aim of this study was to pilot test the video with interprofessional healthcare providers (HPs) to explore acceptability and utility, while also seeking input on opportunities for improvement. Eleven HPs reviewed the video and participated in one of three focus groups. Focus group data were analyzed using thematic analysis. Data suggest that video content is acceptable and useful in promoting a better understanding of the patient's experience. Building on these encouraging findings, additional iterations of videos to promote empathy will be developed and tested. [ABSTRACT FROM AUTHOR]

Objective: COVID-19 vaccine-neutralizing antibodies provide early data on potential vaccine effectiveness, but their usefulness depends on study reliability and reporting quality. Methods: We systematically evaluated 50 published post-vaccination neutralizing antibody studies for key parameters that determine study and data quality regarding sample size, SARS-CoV-2 infection, vaccination regimen, sample collection period, demographic characterization, clinical characterization, experimental protocol, live virus and pseudo-virus details, assay standardization, and data reporting. Each category was scored from very high to low or unclear quality, with the lowest score determining the overall study quality score. Results: None of the studies attained an overall high or very high score, 8% (n = 4) attained moderate, 42% (n = 21) low, and 50% (n = 25) unclear. The categories with the fewest studies assessed as ≥ high quality were SARS-CoV-2 infection (42%), sample size (30%), and assay standardization (14%). Overall quality was similar over time. No association between journal impact factor and quality score was found. Conclusions: We found that reporting in neutralization studies is widely incomplete, limiting their usefulness for downstream analyses.

Purpose: In this study, we aimed to analyze patients with ferritin levels of = 1000 ng/mL based on diagnoses and the wards they received both before the COVID pandemic and during the pandemic periods. Materials and Methods: This retrospective study evaluated the patients who applied to a tertiary hospital and had ferritin onset of the pandemic. The patients' demographic and clinical characteristics and ferritin levels were obtained from the hospital's medical records. Results: There were 2022 patients, 635 (31.4%) female and 1387 (68.6%) male, with a median age of 62 (49-71) years. 554 patients (27.4%) before the pandemic, and 1468 patients (72.6%) during the pandemic had ferritin levels of = 1000 ng/mL. Hyperferritinemia was detected more frequently in males during the pandemic (p<0.001). Before the pandemic, the most prevalent cause of hyperferritinemia was hematologic malignancies, while COVID-19 was the most common cause of hyperferritinemia during the pandemic. Hyperferritinemia was commonly detected in the hematology department before the pandemic, while it was frequently performed in COVID-19 clinics and intensive care units after the onset of the pandemic. Conclusion: In the current study, the most prevalent cause of hyperferritinemia was hematological malignancies before the pandemic, and COVID-19 infection during the pandemic. Therefore, it is important to consider the most common conditions that match the patient's clinical condition when detecting extremely high ferritin values. Nevertheless, many other important clinical situations should also be kept in mind. [ABSTRACT FROM AUTHOR]

Preliminary evidence suggests that the experience of the novel coronavirus is not shared equally across geographic areas. Findings in the United States suggest that the burden of COVID-19 morbidity and mortality may be hardest felt in disadvantaged and racially segregated places. Deprived neighborhoods are disproportionately populated by people of color, the same populations that are becoming sicker and dying more often from COVID-19. This commentary examines how structurally vulnerable neighborhoods contribute to racial/ethnic inequities in SARS-COV-2 exposure and COVID-19 morbidity and mortality and considers opportunities to intervene through place-based initiatives and the implementation of a Health in All Policies strategy.

Abstract Objective In this study, we investigated the impact of COVID-19 NPIs in South Africa to understand their effectiveness in the reduction of transmission of COVID-19 in the South African population. This study also investigated the COVID-19 testing, reporting, hospitalised cases, excess deaths and COVID-19 modelling in the first wave of the COVID-19 epidemic in South Africa. Methods A semi-reactive stochastic COVID-19 model, the ARI COVID-19 SEIR model, was used to investigate the impact of NPIs in South Africa to understand their effectiveness in the reduction of COVID-19 transmission in the South African population. COVID-19 testing, reporting, hospitalised cases and excess deaths in the first COVID-19 epidemic wave in South Africa were investigated using regressional analysis and descriptive statistics. Findings The general trend in population movement in South African locations shows that the COVID-19 NPIs (National Lockdown Alert Levels 5,4,3,2) were approximately 30% more effective in reducing population movement concerning each increase by 1 Alert Level. The translated reduction in the effective SARS-CoV-2 daily contact number (β) was 6.12% to 36.1% concerning increasing Alert Levels. Due to the implemented NPIs, the effective SARS-CoV-2 daily contact number in the first COVID-19 epidemic wave in South Africa was reduced by 58.1–71.1% while the peak was delayed by 84 days. The estimated COVID-19 reproductive number was between 1.98 to 0.40. During South Africa’s first COVID-19 epidemic wave, the mean COVID-19 admission status in South African hospitals was 58.5%, 95% CI [58.1–59.0] in the general ward, 13.4%, 95% CI [13.1–13.7] in the intensive care unit, 13.3%, 95% CI [12.6–14.0] on oxygen, 6.37%, 95% CI [6.23–6.51] in high care, 6.29%, 95% CI [6.02–6.55] on ventilator and 2.13%, 95% CI [1.87–2.43] in isolation ward respectively. The estimated mean South African COVID-19 patient discharge rate was 11.9 days per patient. While the estimated mean of the South African COVID-19 patient case fatality rate (CFR) in hospital and outside the hospital was 2.06%, 95% CI [1.86–2.25] (deaths per admitted patients) and 2.30%, 95% CI [1.12–3.83](deaths per severe and critical cases) respectively. The relatively high coefficient of variance in COVID-19 model outputs observed in this study shows the uncertainty in the accuracy of the reviewed COVID-19 models in predicting the severity of COVID-19. However, the reviewed COVID-19 models were accurate in predicting the progression of the first COVID-19 epidemic wave in South Africa. Conclusion The results from this study show that the COVID-19 NPI policies implemented by the Government of South Africa played a significant role in the reduction of COVID-19 active, hospitalised cases and deaths in South Africa’s first COVID-19 epidemic wave. The results also show the use of COVID-19 modelling to understand the COVID-19 pandemic and the impact of regressor variables in an epidemic.

Background: Recently, chronic lung diseases have been found to be associated with marked inflammation and oxidative stress, which leads to fibrosis in the lungs and chronic respiratory failure. This study aims to determine if hydrogen-rich water (HRW) can enhance oxygen saturation among patients with chronic lung diseases. Methods: Ten patients with chronic lung diseases due to COPD (n = 7), bronchial asthma (n = 2), and tuberculosis of the lung (n = 1) with oxygen saturation of 90–95% were provided high-concentration (>5 mM) HRW using H2-producing tablets for 4 weeks. Oxygen saturation was measured via oximeter and blood pressure via digital automatic BP recorder. Results: HRW administration was associated with a significant increase in oxygen saturation (SpO2) and decrease in TBARS, MDA, and diene conjugates, with an increase in vitamin E and nitrite levels, compared to baseline levels. Physical training carried out after HRW therapy appeared to increase exercise tolerance and decrease hypoxia, as well as delay the need for oxygen therapy. Conclusion: Treatment with HRW in patients with hypoxia from chronic lung diseases may decrease oxidative stress and improve oxygen saturation in some patients. HRW therapy may also provide increased exercise tolerance in patients with chronic hypoxia, but further research is needed. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to evaluate the effectiveness of either hydroxychloroquine, triple combination therapy (TCT), favipiravir, dexamethasone, remdesivir, or COVID-19 convalescent plasma (CCP) in comparison with standard-of-care for hospitalized patients with COVID-19 using real-world data from Saudi Arabia. Patients and methods: A secondary database analysis was conducted using the Saudi Ministry of Health database for patients with COVID-19. Adult (≥18 years) hospitalized patients with COVID-19 between March 2020 and January 2021 were included in the analysis. A propensity score matching technique was used to establish comparable groups for each therapeutic approach. Lastly, an independent t-test and chi-square test were used to compare the matching groups in the aspects of the duration of hospitalization, length of stay (LOS) in intensive care units (ICU), in-hospital mortality, and composite poor outcome. Multilevel logistic regression model was used to assess the association between the severity stage of COVID-19 and the outcomes while using the medication or intervention used as a grouping variable in the model. Results: The mean duration of hospitalization was significantly longer for patients who received TCT, favipiravir, dexamethasone, or CCP compared to patients who did not receive these therapies, with a mean difference ranging between 2.2 and 4.9 days for dexamethasone and CCP, respectively. Furthermore, the use of favipiravir or CCP was associated with a longer stay in ICU. Remdesivir was the only agent associated with in-hospital mortality benefit. A higher risk of mortality and poorer composite outcome were associated with the use of favipiravir or dexamethasone. However, the logistic regression model reveled that the difference between the two matched cohorts was due to the severity stage not the medication. Additionally, the use of hydroxychloroquine, TCT, or CCP had no impact on the incidence of in-hospital mortality or composite poor outcomes. Conclusion: Remdesivir was the only agent associated with in-hospital mortality benefit. The observed worsened treatment outcomes associated with the use of dexamethasone or FPV shall be attributed to the severity stage rather than the medication use. In light of these varied results, additional studies are needed to continue evaluating the actual benefits of these therapies.

AbstractThe paper aim to examine the impact of foreign ownership and national governance quality on liquidity risk in Vietnam’s listed commercial banks from 2010 to 2021, covering the COVID-19 outbreak. Using the two-step generalized method of moments regression model (GMM), the findings indicate that foreign ownership deteriorates liquidity risk, while national governance quality has a positive effect on liquidity risk. In particular, the study highlights the positive impact of COVID-19 on liquidity risk because of the unpredicted demand for cash withdrawals by customers, which led to a shortage of cash holdings in commercial banks. Consistent with agency and neo-institutional theories, the findings are robust to a series of endogenous checks using an alternative regression method, such as pooled ordinary least squares, and the generalized method of the moments regression model.

Systemic disruptions and uncertainties resulting from the prolonged COVID-19 pandemic have put extraordinary pressure on system-level educational leadership worldwide. Despite often being seen as drivers of thinking and change, system leaders had few, if any, precedents to draw from on how to lead effectively through such crises. This paper examines Ontario secondary school teachers' (N = 17) perspectives on system-level educational leadership during the initial weeks of the COVID-19 pandemic and considers how these perspectives can inform future approaches to leading school systems through such uncertainty and disruption. Drawing on prolonged semi-structured interviews, six leverage points for systemic change are discussed: actors and elements, feedback, relationships and power, structures and roles, goals, and the overarching paradigm for teaching and learning. [ABSTRACT FROM AUTHOR]

Objective: In this study, we investigated the impact of COVID-19 NPIs in South Africa to understand their effectiveness in the reduction of transmission of COVID-19 in the South African population. This study also investigated the COVID-19 testing, reporting, hospitalised cases, excess deaths and COVID-19 modelling in the first wave of the COVID-19 epidemic in South Africa. Methods: A semi-reactive stochastic COVID-19 model, the ARI COVID-19 SEIR model, was used to investigate the impact of NPIs in South Africa to understand their effectiveness in the reduction of COVID-19 transmission in the South African population. COVID-19 testing, reporting, hospitalised cases and excess deaths in the first COVID-19 epidemic wave in South Africa were investigated using regressional analysis and descriptive statistics. Findings: The general trend in population movement in South African locations shows that the COVID-19 NPIs (National Lockdown Alert Levels 5,4,3,2) were approximately 30% more effective in reducing population movement concerning each increase by 1 Alert Level. The translated reduction in the effective SARS-CoV-2 daily contact number (β) was 6.12% to 36.1% concerning increasing Alert Levels. Due to the implemented NPIs, the effective SARS-CoV-2 daily contact number in the first COVID-19 epidemic wave in South Africa was reduced by 58.1–71.1% while the peak was delayed by 84 days. The estimated COVID-19 reproductive number was between 1.98 to 0.40. During South Africa's first COVID-19 epidemic wave, the mean COVID-19 admission status in South African hospitals was 58.5%, 95% CI [58.1–59.0] in the general ward, 13.4%, 95% CI [13.1–13.7] in the intensive care unit, 13.3%, 95% CI [12.6–14.0] on oxygen, 6.37%, 95% CI [6.23–6.51] in high care, 6.29%, 95% CI [6.02–6.55] on ventilator and 2.13%, 95% CI [1.87–2.43] in isolation ward respectively. The estimated mean South African COVID-19 patient discharge rate was 11.9 days per patient. While the estimated mean of the South African COVID-19 patient case fatality rate (CFR) in hospital and outside the hospital was 2.06%, 95% CI [1.86–2.25] (deaths per admitted patients) and 2.30%, 95% CI [1.12–3.83](deaths per severe and critical cases) respectively. The relatively high coefficient of variance in COVID-19 model outputs observed in this study shows the uncertainty in the accuracy of the reviewed COVID-19 models in predicting the severity of COVID-19. However, the reviewed COVID-19 models were accurate in predicting the progression of the first COVID-19 epidemic wave in South Africa. Conclusion: The results from this study show that the COVID-19 NPI policies implemented by the Government of South Africa played a significant role in the reduction of COVID-19 active, hospitalised cases and deaths in South Africa's first COVID-19 epidemic wave. The results also show the use of COVID-19 modelling to understand the COVID-19 pandemic and the impact of regressor variables in an epidemic. [ABSTRACT FROM AUTHOR]

This essay is a reflection on COVID-19 in the United States, specifically in the state of Alabama, and among marginalized populations with whom I work. Past generations have demonstrated living in faith, hope, and love in the midst of and despite great suffering and turmoil. This essay includes my thoughts about how faith manifests itself individually and corporately and raises ongoing questions about how believers may promote radical change and confront societal inequities—especially in light of COVID-19. [ABSTRACT FROM AUTHOR]

Coronavirus disease-19 (COVID-19), resulting from infection with the SARS-CoV-2 virus, causes not only flu-like symptoms, such as fever, aches, or a dry cough, but also affects the sensory system, leading to a loss of smell and taste or to neurological deficits in the shape of balance disorders and dizziness. Purpose of the study: Our research aimed to assess the prevalence of balance disorders in patients who had suffered COVID-19. Material and methods: The study group consisted of 73 subjects with a history of SARS-CoV-2 infection. The control group consisted of 50 healthy people with similar demographics. A balance analysis was performed on a tensometric platform, using the Romberg test. Results: Statistically significant differences between the results of the study group and the control group were obtained in the evaluation of the length of body sways and the area of gravity center, both with open and closed eyes, and in the case of maximum body sways with open eyes. Conclusions: Patients who have suffered COVID-19 may suffer from balance disorders detectable by posturographic tests. [ABSTRACT FROM AUTHOR]

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The purpose of this study was to evaluate the effectiveness of either hydroxychloroquine, triple combination therapy (TCT), favipiravir, dexamethasone, remdesivir, or COVID-19 convalescent plasma (CCP) in comparison with standard-of-care for hospitalized patients with COVID-19 using real-world data from Saudi Arabia. A secondary database analysis was conducted using the Saudi Ministry of Health database for patients with COVID-19. Adult (≥18 years) hospitalized patients with COVID-19 between March 2020 and January 2021 were included in the analysis. A propensity score matching technique was used to establish comparable groups for each therapeutic approach. Lastly, an independent t -test and chi-square test were used to compare the matching groups in the aspects of the duration of hospitalization, length of stay (LOS) in intensive care units (ICU), in-hospital mortality, and composite poor outcome. Multilevel logistic regression model was used to assess the association between the severity stage of COVID-19 and the outcomes while using the medication or intervention used as a grouping variable in the model. The mean duration of hospitalization was significantly longer for patients who received TCT, favipiravir, dexamethasone, or CCP compared to patients who did not receive these therapies, with a mean difference ranging between 2.2 and 4.9 days for dexamethasone and CCP, respectively. Furthermore, the use of favipiravir or CCP was associated with a longer stay in ICU. Remdesivir was the only agent associated with in-hospital mortality benefit. A higher risk of mortality and poorer composite outcome were associated with the use of favipiravir or dexamethasone. However, the logistic regression model reveled that the difference between the two matched cohorts was due to the severity stage not the medication. Additionally, the use of hydroxychloroquine, TCT, or CCP had no impact on the incidence of in-hospital mortality or composite poor outcomes. Remdesivir was the only agent associated with in-hospital mortality benefit. The observed worsened treatment outcomes associated with the use of dexamethasone or FPV shall be attributed to the severity stage rather than the medication use. In light of these varied results, additional studies are needed to continue evaluating the actual benefits of these therapies. [ABSTRACT FROM AUTHOR]

Background: During the COVID-19 pandemic, children and adolescents experienced a number of problems, such as distance from peers, participation in virtual classes, home quarantine and reduced physical activity, which affected their mental health. In this regard, the present study was conducted to investigate depression, anxiety and stress in children and adolescents during the coronavirus 2019 pandemic. Materials and Methods: This study is a review by searching by keywords coronavirus 2019, children, adolescents, depression, stress, anxiety, mental health, pandemic and psychology in the titles and abstracts of articles published in Google Scholar, PubMed, Scopus and ScienceDirect Searched for 2020 (February) to 2021 (July). Results: Studies have shown a decrease in the mental health of children and adolescents during the COVID-19 pandemic. Depression, anxiety, stress, fear, social isolation, poor sleep quality, decreased physical activity, poor academic performance, aggression, behavioral problems, and post-traumatic stress disorder are some of the most common problems in children and adolescents during COVID-19 outbreaks. Factors such as age, gender, economic and social status, physical activity, domestic violence, parenting style and fear of COVID-19 affected the mental health of children and adolescents. Conclusion: As children and adolescents reach a critical developmental age, home quarantine, social isolation, and school closures caused them to experience high levels of depression, anxiety, and stress during the COVID-19 pandemic. To this end, it is necessary for parents, psychologists and school counselors to take measures to increase the mental health of children and adolescents.

Pandemi Covid-19 menyebabkan berbagai dampak bidang kehidupan manusia salah satunya berpengaruh pada kesehatan mental manusia. Mahasiswa yang sementera menempuh pendidikan di perguruan tinggi mengalami ganguan mental. Stress, cemas dan depresi dialami mereka. Oleh karena itu, perlu dilakukan upaya untuk membantu mahasiswa dalam mengembangkan kesehatan mental mereka. Artikel ini mengkaji konsep gangguan mental; faktor-faktor yang mempengaruhi; dan cara mengembangkan kesehatan mental di era pendemi Covid-19.

It is not known whether non-ABO antibodies confer any protective effect against SARS-CoV-2 infection or COVID-19 severe illness alone or in conjunction with O blood group. This cohort study included 413 576 persons in Ontario, Canada with known ABO blood group and non-ABO antibody screen status, who subsequently underwent SARS-CoV-2 viral RNA polymerase chain reaction testing between January and November 2020. The risk of SARS-CoV-2 infection or COVID-19 severe illness was not associated with the presence of non-ABO antibodies, even among persons with O blood group.

Background: Recently, chronic lung diseases have been found to be associated with marked inflammation and oxidative stress, which leads to fibrosis in the lungs and chronic respiratory failure. This study aims to determine if hydrogen-rich water (HRW) can enhance oxygen saturation among patients with chronic lung diseases. Methods: Ten patients with chronic lung diseases due to COPD (n = 7), bronchial asthma (n = 2), and tuberculosis of the lung (n = 1) with oxygen saturation of 90–95% were provided high-concentration (>5 mM) HRW using H2-producing tablets for 4 weeks. Oxygen saturation was measured via oximeter and blood pressure via digital automatic BP recorder. Results: HRW administration was associated with a significant increase in oxygen saturation (SpO2) and decrease in TBARS, MDA, and diene conjugates, with an increase in vitamin E and nitrite levels, compared to baseline levels. Physical training carried out after HRW therapy appeared to increase exercise tolerance and decrease hypoxia, as well as delay the need for oxygen therapy. Conclusion: Treatment with HRW in patients with hypoxia from chronic lung diseases may decrease oxidative stress and improve oxygen saturation in some patients. HRW therapy may also provide increased exercise tolerance in patients with chronic hypoxia, but further research is needed.

COVID-19 pandemic has emerged as a major problem for the health-care workers (HCWs). Many HCWs are facing adverse psychological outcomes, during the COVID pandemic. HCWs are not only expected to carry out duties in COVID areas but are also expected to stay in isolation during the period of quarantine. Various models have been proposed to address the psychological issues in HCWs using telepsychiatry. However, there are no clear-cut guidelines, for managing people with suicidal behavior. In this report we present a HCW, diagnosed with recurrent depressive disorder, current episode severe depression without psychotic symptoms, who attempted self-harm and was shortly diagnosed with COVID-19 infection leading her to getting admitted in the COVID-19 ward. She was managed with supportive psychotherapy during her COVID ward stay through telepsychiatry. We discuss the challenges faced and how these were handled.

Vaccine effectiveness for COVID-19 is typically estimated for different outcomes that often are hierarchical in severity (e.g. any documented infection, symptomatic infection, hospitalization, death) and subsets of each other. Conditional effectiveness for a more severe outcome conditional on a less severe outcome is the protection offered against the severe outcome (e.g. death) among those who already sustained the less severe outcome (e.g. documented infection). The concept applies also to the protection offered by previous infection rather than vaccination. Formulas and a nomogram are provided here for calculating conditional effectiveness. Illustrative examples are presented from recent vaccine effectiveness studies, including situations where effectiveness for different outcomes changed at different pace over time. E(death | documented infection) is the percent decrease in the case fatality rate and E(death | infection) is the percent decrease in the infection fatality rate (IFR). Conditional effectiveness depends on many factors and should not be misinterpreted as a causal effect estimate. However, it may be used for better personalized communication of the benefits of vaccination, considering also IFR and epidemic activity in public health decision-making and communication. [ABSTRACT FROM AUTHOR]

University students are a critical group for vaccination programmes against COVID-19, meningococcal disease (MenACWY) and measles, mumps and rubella (MMR). We aimed to evaluate risk factors for vaccine hesitancy and views about on-campus vaccine delivery among university students. Data were obtained through a cross-sectional anonymous online questionnaire study of undergraduate students in June 2021 and analysed by univariate and multivariate tests to detect associations. Complete data were obtained from 827 participants (7.6% response-rate). Self-reporting of COVID-19 vaccine status indicated uptake by two-thirds (64%; 527/827), willing for 23% (194/827), refusal by 5% (40/827) and uncertain results for 8% (66/827). Hesitancy for COVID-19 vaccines was 5% (40/761). COVID-19 vaccine hesitancy was associated with Black ethnicity (aOR, 7.01, 95% CI, 1.8–27.3) and concerns about vaccine side-effects (aOR, 1.72; 95% CI, 1.23–2.39). Uncertainty about vaccine status was frequently observed for MMR (11%) and MenACWY (26%) vaccines. Campus-associated COVID-19 vaccine campaigns were favoured by UK-based students (definitely, 45%; somewhat, 16%) and UK-based international students (definitely, 62%; somewhat, 12%). Limitations of this study were use of use of a cross-sectional approach, self-selection of the response cohort, slight biases in the demographics and a strict definition of vaccine hesitancy. Vaccine hesitancy and uncertainty about vaccine status are concerns for effective vaccine programmes. Extending capabilities of digital platforms for accessing vaccine information and sector-wide implementation of on-campus vaccine delivery are strategies for improving vaccine uptake among students. Future studies of vaccine hesitancy among students should aim to extend our observations to student populations in a wider range of university settings and with broader definitions of vaccine hesitancy. [ABSTRACT FROM AUTHOR]

Contexte : Pour maintenir le contrôle de l’épidémie de maladie à coronavirus 2019 (COVID-19) lorsque les mesures de confinement seront levées, il sera essentiel de renforcer les mesures de santé publique alternatives. En ce qui concerne la surveillance, il sera nécessaire de détecter rapidement une grande proportion de tous nouveaux cas afin de pouvoir les isoler, et retrouver et mettre en quarantaine les personnes qui y ont été exposées. Nous présentons ici une approche mathématique qui peut être utilisée pour déterminer combien d’échantillons doivent être recueillis par unité de surface et par unité de temps pour détecter de nouveaux agrégats de cas de COVID-19 à un stade suffisamment précoce pour contrôler une éclosion. Méthodes : Nous présentons une méthode de détermination de la taille de l’échantillon qui utilise une approche de pondération relative. Compte tenu du fait que les résultats du test de diagnostic de la COVID-19 provenant de sous-populations ont contribué à détecter la maladie à un niveau de prévalence seuil pour contrôler l’éclosion, il s’agissait de 1) déterminer si le nombre prévu d’échantillons hebdomadaires fournis par la surveillance actuelle des infections virales respiratoires fondée sur les soins de santé peut fournir une taille d’échantillon déjà adéquate pour détecter de nouveaux agrégats de cas de COVID-19 et, dans le cas contraire, 2) de déterminer combien d’échantillons hebdomadaires supplémentaires étaient nécessaires à partir d’un échantillonnage volontaire. Résultats : Lors d’une démonstration de notre méthode à une fréquence hebdomadaire et à l’échelle des provinces et territoires canadiens, nous avons constaté que seuls les provinces et les territoires les plus peuplés disposaient d’un nombre suffisant de dépistages provenant des visites médicales en raison de maladies respiratoires pour détecter la COVID-19 à notre niveau de prévalence cible — qui doit être suffisamment élevé pour identifier et contrôler les nouveaux agrégats de cas. En outre, la détection de la COVID-19 est plus efficace (moins d’échantillons requis) lorsque la surveillance se concentre sur l’exigence de tests de dépistage de patients symptomatiques par les services des soins de santé. Dans les populations volontaires : plus les taux de contact sont élevés, plus le niveau de prévalence attendu est élevé, et moins il faut d’échantillons pour détecter la COVID-19 à un seuil prédéterminé. Conclusion : Cette étude présente une stratégie de surveillance ciblée, combinant des échantillons de surveillance passive et active, afin de déterminer le nombre d’échantillons à recueillir par unité de surface et par unité de temps pour détecter de nouveaux agrégats de cas de COVID-19. L’objectif de cette stratégie est de permettre une détection suffisamment précoce pour contrôler une éclosion.

Background: To maintain control of the coronavirus disease 2019 (COVID-19) epidemic as lockdowns are lifted, it will be crucial to enhance alternative public health measures. For surveillance, it will be necessary to detect a high proportion of any new cases quickly so that they can be isolated, and people who have been exposed to them traced and quarantined. Here we introduce a mathematical approach that can be used to determine how many samples need to be collected per unit area and unit time to detect new clusters of COVID-19 cases at a stage early enough to control an outbreak. Methods: We present a sample size determination method that uses a relative weighted approach. Given the contribution of COVID-19 test results from sub-populations to detect the disease at a threshold prevalence level to control the outbreak to 1) determine if the expected number of weekly samples provided from current healthcare-based surveillance for respiratory virus infections may provide a sample size that is already adequate to detect new clusters of COVID-19 and, if not, 2) to determine how many additional weekly samples were needed from volunteer sampling. Results: In a demonstration of our method at the weekly and Canadian provincial and territorial (P/T) levels, we found that only the more populous P/T have sufficient testing numbers from healthcare visits for respiratory illness to detect COVID-19 at our target prevalence level—assumed to be high enough to identify and control new clusters. Furthermore, detection of COVID-19 is most efficient (fewer samples required) when surveillance focuses on healthcare symptomatic testing demand. In the volunteer populations: the higher the contact rates; the higher the expected prevalence level; and the fewer the samples were needed to detect COVID-19 at a predetermined threshold level. Conclusion: This study introduces a targeted surveillance strategy, combining both passive and active surveillance samples, to determine how many samples to collect per unit area and unit time to detect new clusters of COVID-19 cases. The goal of this strategy is to allow for early enough detection to control an outbreak.

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, created the need for an effective vaccine. Questions arose about allocating the initial limited supplies in the United States. We present four allocation models and compare their characteristics for ethically meeting the health needs of the population. The literature shares broad agreement on guiding ethical principles with those of the four proposed models for vaccine allocation, featuring the concepts of utilitarianism, prioritarianism, equity, and reciprocity. We conclude that the "Interim Framework for COVID-19 Vaccine Allocation and Distribution in the United States" from the Johns Hopkins Bloomberg School of Public Health is the most comprehensive and ethically sound. We recommend government officials and policymakers at all levels consider the principles and objectives in this model as US COVID-19 vaccination distribution efforts continue. This model may serve as an effective framework for initial vaccine distribution efforts during future epidemic and pandemic events. [ABSTRACT FROM AUTHOR]

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants concerning for enhanced transmission, evasion of immune responses, or associated with severe disease have motivated the global increase in genomic surveillance. In the current study, large-scale whole-genome sequencing was performed between November 2020 and the end of March 2021 to provide a phylodynamic analysis of circulating variants over time. In addition, we compared the viral genomic features of March 2020 and March 2021. Methods A total of 1600 complete SARS-CoV-2 genomes were analyzed. Genomic analysis was associated with laboratory diagnostic volumes and positivity rates, in addition to an analysis of the association of selected variants of concern/variants of interest with disease severity and outcomes. Our real-time surveillance features a cohort of specimens from patients who tested positive for SARS-CoV-2 after completion of vaccination. Results Our data showed genomic diversity over time that was not limited to the spike sequence. A significant increase in the B.1.1.7 lineage (alpha variant) in March 2021 as well as a transient circulation of regional variants that carried both the concerning S: E484K and S: P681H substitutions were noted. Lineage B.1.243 was significantly associated with intensive care unit admission and mortality. Genomes recovered from fully vaccinated individuals represented the predominant lineages circulating at specimen collection time, and people with those infections recovered with no hospitalizations. Conclusions Our results emphasize the importance of genomic surveillance coupled with laboratory, clinical, and metadata analysis for a better understanding of the dynamics of viral spread and evolution. [ABSTRACT FROM AUTHOR]

This paper uses a robust method of spatial epidemiological analysis to assess the spatial growth rate of multiple lineages of SARS-CoV-2 in the local authority areas of England, September 2020–December 2021. Using the genomic surveillance records of the COVID-19 Genomics UK (COG-UK) Consortium, the analysis identifies a substantial (7.6-fold) difference in the average rate of spatial growth of 37 sample lineages, from the slowest (Delta AY.4.3) to the fastest (Omicron BA.1). Spatial growth of the Omicron (B.1.1.529 and BA) variant was found to be 2.81× faster than the Delta (B.1.617.2 and AY) variant and 3.76× faster than the Alpha (B.1.1.7 and Q) variant. In addition to AY.4.2 (a designated variant under investigation, VUI-21OCT-01), three Delta sublineages (AY.43, AY.98 and AY.120) were found to display a statistically faster rate of spatial growth than the parent lineage and would seem to merit further investigation. We suggest that the monitoring of spatial growth rates is a potentially valuable adjunct to outbreak response procedures for emerging SARS-CoV-2 variants in a defined population. [ABSTRACT FROM AUTHOR]

Abstract Some psychosomatic diseases, like Tako‐tsubo cardiomyopathy, may occur because of exposure to a stressful event like COVID‐19. The simultaneous development of psychosis and Tako‐tsubo cardiomyopathy suggests a field of vulnerability. Specific measures need to be taken to help vulnerable people to manage these stressful events.

An abstractive summary is a process of producing a brief and coherent summary that contains the original text's main concepts. In scientific texts, summarization has generally been restricted to extractive techniques. Abstractive methods that use deep learning have proven very effective in summarizing articles in public fields, like news documents. Because of the difficulty of the neural frameworks for learning specific domain-knowledge especially in NLP task, they haven't been more applied to documents that are related to a particular domain such as the medical domain. In this study, an abstractive summary is proposed. The proposed system is applied to the COVID-19 dataset which a collection of science documents linked to the coronavirus and associated illnesses, in this work 12000 samples from this dataset have been used. The suggested model is an abstractive summary model that can read abstracts of Covid-19 papers then create summaries in the style of a single-statement headline. A text summary model has been designed based on the LSTM method architecture. The proposed model includes using a glove model for word embedding which is converts input sequence to vector forms, then these vectors pass through LSTM layers to produce the summary. The results indicate that using an LSTM and glove model for word embedding together improves the summarization system's performance. This system was evaluated by rouge metrics and it achieved (43.6, 36.7, 43.6) for Rouge-1, Rouge-2, and Rouge-L respectively. [ABSTRACT FROM AUTHOR]

Some psychosomatic diseases, like Tako‐tsubo cardiomyopathy, may occur because of exposure to a stressful event like COVID‐19. The simultaneous development of psychosis and Tako‐tsubo cardiomyopathy suggests a field of vulnerability. Specific measures need to be taken to help vulnerable people to manage these stressful events. [ABSTRACT FROM AUTHOR]

As the COVID-19 global pandemic continues, more than 40 states have reported increases in opioid-related mortality. The issue of service access and delivery poses a major concern for those struggling with mental illness and substance use disorders in the United States. To ensure the continuity of health care during the pandemic and the co-occurring opioid crisis, the United States continues to adapt its healthcare delivery strategies, which include the introduction of telehealth. Telehealth is a relatively new concept and requires rapid systems changes as well as adjustments from both service providers and recipients. The proper adaptation to the new service delivery method could result in process optimization and improved outcomes for those struggling with opioid dependency. This study aims to bring attention to the opioid crisis that may be overlooked in light of the global pandemic and encourage social workers and other mental health professionals to utilize modern technological advancements to improve service delivery to their clients. This paper offers a literature review with four themes: (1) a retrospect on pain and opioids, (2) current telehealth models and practical strategies, (3) social work roles and functions in telehealth care, and (4) next steps and implications of telehealth for social work as a much-needed health-care delivery tool at the clinical and community social work practice level. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Youth Research / Gençlik Araştırmaları Dergisi is the property of Genclik & Spor Bakanligi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Smartphone addiction has emerged as a major concern among children and adolescents over the past few decades and may be heightened by the outbreak of COVID-19, posing a threat to their physical and mental health. Then we aimed to develop a decision tree model as a screening tool for unrecognized smartphone addiction by conducting large sample investigation in mainland China.Methods: The data from cross-sectional investigation of smartphone addiction among children and adolescents in mainland China (n = 3,615) was used to build models of smartphone addiction by employing logistic regression, visualized nomogram, and decision tree analysis.Results: Smartphone addiction was found in 849 (23.5%) of the 3,615 respondents. According to the results of logistic regression, nomogram, and decision tree analyses, Internet addiction, hours spend on smartphone during the epidemic, levels of clinical anxiety symptoms, fear of physical injury, and sex were used in predictive model of smartphone addiction among children and adolescents. The C-index of the final adjusted model of logistic regression was 0.804. The classification accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and AUC area of decision tree for detecting smartphone addiction were 87.3, 71.4, 92.1, 73.5, 91.4, and 0.884, respectively.Conclusions: It was found that the incidence of smartphone addiction among children and adolescents is significant during the epidemic. The decision tree model can be used to screen smartphone addiction among them. Findings of the five risk factors will help researchers and parents assess the risk of smartphone addiction quickly and easily.

Abstract Cytokine release syndrome (CRS) is known to be associated with severe coronavirus disease 2019 (COVID‐19). Multiple anti‐inflammatory therapies such as tocilizumab, corticosteroids, intravenous immunoglobulin (IVIG), and haemoadsorption or haemoperfusion have been used to combat this life‐threatening condition. However, immunocompromised hosts are often omitted from research studies, and knowledge on the clinical efficacy of these therapies in immunocompromised patients is therefore limited. We report two cases of immunocompromised patients with severe COVID‐19‐related CRS requiring mechanical ventilation who were treated with multimodality treatment consisting of tocilizumab, IVIG, and haemoperfusion. Within 48 h, both patients showed clinical improvement with PaO2:FiO2 ratio and haemodynamic stability. Both survived to discharge. There were no adverse events following these therapies. In conclusion, combined therapeutic modalities, possibly tailored to individual inflammatory profiles, are promising treatment for severe COVID‐19 infection in the immunocompromised host. Timely administration of adjunctive therapies that alleviate overwhelming inflammation may provide the best outcome.

University students are a critical group for vaccination programmes against COVID-19, meningococcal disease (MenACWY) and measles, mumps and rubella (MMR). We aimed to evaluate risk factors for vaccine hesitancy and views about on-campus vaccine delivery among university students. Data were obtained through a cross-sectional anonymous online questionnaire study of undergraduate students in June 2021 and analysed by univariate and multivariate tests to detect associations. Complete data were obtained from 827 participants (7.6% response-rate). Self-reporting of COVID-19 vaccine status indicated uptake by two-thirds (64%; 527/827), willing for 23% (194/827), refusal by 5% (40/827) and uncertain results for 8% (66/827). Hesitancy for COVID-19 vaccines was 5% (40/761). COVID-19 vaccine hesitancy was associated with Black ethnicity (aOR, 7.01, 95% CI, 1.8–27.3) and concerns about vaccine side-effects (aOR, 1.72; 95% CI, 1.23–2.39). Uncertainty about vaccine status was frequently observed for MMR (11%) and MenACWY (26%) vaccines. Campus-associated COVID-19 vaccine campaigns were favoured by UK-based students (definitely, 45%; somewhat, 16%) and UK-based international students (definitely, 62%; somewhat, 12%). Limitations of this study were use of use of a cross-sectional approach, self-selection of the response cohort, slight biases in the demographics and a strict definition of vaccine hesitancy. Vaccine hesitancy and uncertainty about vaccine status are concerns for effective vaccine programmes. Extending capabilities of digital platforms for accessing vaccine information and sector-wide implementation of on-campus vaccine delivery are strategies for improving vaccine uptake among students. Future studies of vaccine hesitancy among students should aim to extend our observations to student populations in a wider range of university settings and with broader definitions of vaccine hesitancy.

Background: Smartphone addiction has emerged as a major concern among children and adolescents over the past few decades and may be heightened by the outbreak of COVID-19, posing a threat to their physical and mental health. Then we aimed to develop a decision tree model as a screening tool for unrecognized smartphone addiction by conducting large sample investigation in mainland China. Methods: The data from cross-sectional investigation of smartphone addiction among children and adolescents in mainland China (n = 3,615) was used to build models of smartphone addiction by employing logistic regression, visualized nomogram, and decision tree analysis. Results: Smartphone addiction was found in 849 (23.5%) of the 3,615 respondents. According to the results of logistic regression, nomogram, and decision tree analyses, Internet addiction, hours spend on smartphone during the epidemic, levels of clinical anxiety symptoms, fear of physical injury, and sex were used in predictive model of smartphone addiction among children and adolescents. The C-index of the final adjusted model of logistic regression was 0.804. The classification accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and AUC area of decision tree for detecting smartphone addiction were 87.3, 71.4, 92.1, 73.5, 91.4, and 0.884, respectively. Conclusions: It was found that the incidence of smartphone addiction among children and adolescents is significant during the epidemic. The decision tree model can be used to screen smartphone addiction among them. Findings of the five risk factors will help researchers and parents assess the risk of smartphone addiction quickly and easily. [ABSTRACT FROM AUTHOR]

This paper determined the level of perception of the effect of information resources awareness, availability and accessibility on the control of covd-19 pandemic among Librarians in Nigeria. A survey research design was employed through convenience sampling technique with a questionnaire as the instrument. The target population is the Librarians in the tertiary institutions. The online questionnaire was sent through an individual e-mail address.188 valid responses were observed after three months. The research questions were answered descriptively while an inferential statistic through regression analysis was used to test the null hypothesis. Findings revealed that the Librarians' perception of awareness, availability and accessibility of information resources had a significant effect oncovd-19 pandemic control at F(3, 187) =88.371, P <.001, R. 59. Further, the standardized coefficient result revealed that awareness, had a significant effect on covd-19 pandemic control with β=277, t=4.720 at p≤ .001, availability had a significant effect on covd-19 pandemic control with β-116, t=2.249, p≤.005 while accessibility to information resources had the highest significant effect on covd-19 pandemic control with β-.848, t-14.226. p≤0001. The results agreed with the descriptive analyses which indicate that awareness, availability and accessibility had a high effect on covd-19 pandemic control with a combined high effect. Awareness, availability and accessibility of information resources" is vital for librarians' job performance, especially during a disaster such as the covd-19 pandemic. This is the area previous studies in the context have not considered, that is the novelty of this study. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic has presented major challenges to society, exposing preexisting ethical weaknesses in the modern social fabric's ability to respond. Distrust in government and a lessened authority of science to determine facts have both been exacerbated by the polarization and disinformation enhanced by social media. These have impaired society's willingness to comply with and persevere with social distancing, which has been the most powerful initial response to mitigate the pandemic. These preexisting weaknesses also threaten the future acceptance of vaccination and contact tracing, two other tools needed to combat epidemics. Medical ethicists might best help in this situation by promoting truth-telling, encouraging the rational adjudication of facts, providing transparent decision-making and advocating the virtue of cooperation to maximize the common good. Those interventions should be aimed at the social level. The same elements of emphasizing cooperation and beneficence also apply to the design of triage protocols for when resources are overwhelmed. A life-stages approach increases beneficence and reduces harms. Triage should be kept as simple and straightforward as reasonably possible to avoid unwieldly application during a pandemic. [ABSTRACT FROM AUTHOR]

Background: To maintain control of the coronavirus disease 2019 (COVID-19) epidemic as lockdowns are lifted, it will be crucial to enhance alternative public health measures. For surveillance, it will be necessary to detect a high proportion of any new cases quickly so that they can be isolated, and people who have been exposed to them traced and quarantined. Here we introduce a mathematical approach that can be used to determine how many samples need to be collected per unit area and unit time to detect new clusters of COVID-19 cases at a stage early enough to control an outbreak.Methods: We present a sample size determination method that uses a relative weighted approach. Given the contribution of COVID-19 test results from sub-populations to detect the disease at a threshold prevalence level to control the outbreak to 1) determine if the expected number of weekly samples provided from current healthcare-based surveillance for respiratory virus infections may provide a sample size that is already adequate to detect new clusters of COVID-19 and, if not, 2) to determine how many additional weekly samples were needed from volunteer sampling.Results: In a demonstration of our method at the weekly and Canadian provincial and territorial (P/T) levels, we found that only the more populous P/T have sufficient testing numbers from healthcare visits for respiratory illness to detect COVID-19 at our target prevalence level-assumed to be high enough to identify and control new clusters. Furthermore, detection of COVID-19 is most efficient (fewer samples required) when surveillance focuses on healthcare symptomatic testing demand. In the volunteer populations: the higher the contact rates; the higher the expected prevalence level; and the fewer the samples were needed to detect COVID-19 at a predetermined threshold level.Conclusion: This study introduces a targeted surveillance strategy, combining both passive and active surveillance samples, to determine how many samples to collect per unit area and unit time to detect new clusters of COVID-19 cases. The goal of this strategy is to allow for early enough detection to control an outbreak. [ABSTRACT FROM AUTHOR]

La COVID-19 est devenue un problème majeur de santé publique dans le monde. Les complications cardiovasculaires sont fréquentes, atteignant 20 % des patients atteints de COVID-19 et 43 % des patients atteints de COVID-19 admis en réanimation. Les mécanismes impliqués dans l'atteinte cardiaque sont multiples : un état d'hyperinflammation, un état procoagulant et prothrombotique, la présence d'une cardiomyopathie liée au sepsis, d'une cardiomyopathie de stress, d'une hypoxie en rapport avec l'atteinte pulmonaire, d'une instabilité hémodynamique, d'un orage cytokinique et d'une atteinte myocardique directe par le SARS-CoV-2. Les auteurs rapportent ici une mise au point concernant les atteintes cardiovasculaires, ainsi que les facteurs de mauvais pronostic, chez les patients atteints par la COVID-19. The coronavirus disease 2019 (COVID-19) outbreak has become a worldwide public health concern. Cardiovascular complications are relatively frequent, reaching 20% of COVID-19 patients and 43% of COVID-19 patients admitted in Intensive Care Unit. Cardiac injury mechanisms are multiple, including hyperinflammation, pro-coagulant and pro-thrombotic states, sepsis related cardiomyopathy, hypoxia in relation with lung severity, hemodynamic instability, cytokine storm, critically illness, direct myocardial insult by acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and stress cardiomyopathy. The authors report a narrative review about cardio-vascular complications and predictive factors of mortality in patients infected with COVID-19. [ABSTRACT FROM AUTHOR]

Cytokine release syndrome (CRS) is known to be associated with severe coronavirus disease 2019 (COVID‐19). Multiple anti‐inflammatory therapies such as tocilizumab, corticosteroids, intravenous immunoglobulin (IVIG), and haemoadsorption or haemoperfusion have been used to combat this life‐threatening condition. However, immunocompromised hosts are often omitted from research studies, and knowledge on the clinical efficacy of these therapies in immunocompromised patients is therefore limited. We report two cases of immunocompromised patients with severe COVID‐19‐related CRS requiring mechanical ventilation who were treated with multimodality treatment consisting of tocilizumab, IVIG, and haemoperfusion. Within 48 h, both patients showed clinical improvement with PaO2:FiO2 ratio and haemodynamic stability. Both survived to discharge. There were no adverse events following these therapies. In conclusion, combined therapeutic modalities, possibly tailored to individual inflammatory profiles, are promising treatment for severe COVID‐19 infection in the immunocompromised host. Timely administration of adjunctive therapies that alleviate overwhelming inflammation may provide the best outcome. [ABSTRACT FROM AUTHOR]

Copyright of Umm Al-Qura University Journal of Educational & Psychological Sciences is the property of Association of Arab Universities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Graduate medical education (GME) programs are saddled with the dual responsibilities of exceptional healthcare delivery, while ensuring their trainees' specialty-specific competency. The COVID-19 pandemic threatens this dual mission. The scarcity of resources has required redistribution of personnel, including trainees, and limitations on the number of personnel interacting with patients. These changes have lowered specialty specific clinical volume for trainees. GME programs must look for new ways to educate trainees. Failure to do so may lead to a bottleneck within the medical education training pipeline or graduation of less than fully competent physicians. As two GME trainees on the frontlines, we describe the negative impacts of the COVID-19 pandemic on current GME training in the United States. We then propose possible remedies to the problem. To account for lost training, we discuss potential solutions for filling gaps in training and, simultaneously, urge a coordinated effort among leaders in GME to use the pandemic to catalyze a revolution that will improving training now and in the future.