The outbreak of COVID-19: An overview

Dual-strain dynamics of COVID-19 variants in India: Modeling, analysis, and implications for pandemic control

This study introduces a detailed compartmental model developed to understand the complex dynamics of COVID-19 transmission, focusing on the Delta and Omicron variants in India. The model tracks disease progression through different population compartments, considering factors like vaccination, time-dependent transmission, economic burden and COVID-19 death rates, loss of vaccine-induced immunity, and the transition of asymptomatic cases to recovery. The model is validated against established epidemiological knowledge and real-world data, emphasizing dynamic parameterization and accurate representation of immunity dynamics. The basic reproduction number for both variants is calculated, and sensitivity analysis for various parameters is conducted. Time-dependent parameters are estimated using the discrete inverse method. The study also explores the economic burden, impact of different types of masks, vaccine efficacy, and vaccine-induced immunity through numerical analysis.

An emerging network for COVID-19 CT-scan classification using an ensemble deep transfer learning model

Over the past few years, the widespread outbreak of COVID-19 has caused the death of millions of people worldwide. Early diagnosis of the virus is essential to control its spread and provide timely treatment. Artificial intelligence methods are often used as powerful tools to reach a COVID-19 diagnosis via computed tomography (CT) samples. In this paper, artificial intelligence-based methods are introduced to diagnose COVID-19. At first, a network called CT6-CNN is designed, and then two ensemble deep transfer learning models are developed based on Xception, ResNet-101, DenseNet-169, and CT6-CNN to reach a COVID-19 diagnosis by CT samples. The publicly available SARS-CoV-2 CT dataset is utilized for our implementation, including 2481 CT scans. The dataset is separated into 2108, 248, and 125 images for training, validation, and testing, respectively. Based on experimental results, the CT6-CNN model achieved 94.66% accuracy, 94.67% precision, 94.67% sensitivity, and 94.65% F1-score rate. Moreover, the ensemble learning models reached 99.2% accuracy. Experimental results affirm the effectiveness of designed models, especially the ensemble deep learning models, to reach a diagnosis of COVID-19.

Zoom fatigue related to online learning among medical students in Thailand: Prevalence, predictors, and association with depression

Background

Amidst the COVID-19 pandemic, the learning pattern of medical students shifted from onsite to online. This transition may contribute to what has been called "Zoom fatigue." This study aimed to evaluate the prevalence of Zoom fatigue related to online learning, identify associated factors of Zoom fatigue, and explore its correlation with depression among medical students during the COVID-19 pandemic.

Methods

This cross-sectional study was conducted among 1st to 6th-year Thai medical students. The online survey was administered using a demographic and health behavior questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the Thai version of the Zoom Exhaustion & Fatigue Scale (ZEF-T).

Results

Among the 386 participating students, 221 (57%) were female, with a mean age of 20.6 years. The prevalence of high Zoom fatigue was 9.6%. In the multivariable regression analysis, a lower academic year and a higher number of online learning sessions were significant predictors of Zoom fatigue (p < 0.001), while regular exercise emerged as a protective factor (p = 0.009). The prevalence of depressive disorder was 61.9%, and a significant correlation was found between having a depressive disorder and experiencing Zoom fatigue (p = 0.004).

Conclusion

Zoom fatigue among medical students was correlated with depression. Consequently, medical students experiencing Zoom fatigue should undergo further assessment for depression. It is crucial to closely monitor medical students in lower academic years with a high number of online sessions for signs of Zoom fatigue. Additionally, implementing strategies, such as reducing the frequency of online sessions and promoting regular exercise, may help alleviate the symptoms.

Load Management Among Professional Hockey Goalies: A Retrospective Cohort Study

BACKGROUND

Load management is a sports science concept describing the execution of well-established training principles to measure athletic workloads and enhance performance. The term 'load management' has become common in sports media to refer to a much wider range of scenarios, including the idea that by limiting regular season workload for athletes, their health and playoff performance will improve. Varying links between load and performance have been demonstrated in baseball and soccer. The purpose of this study was to objectively assess the impact of regular season workload on postseason performance among National Hockey League (NHL) goalies.

HYPOTHESIS

NHL goalies with lighter regular season workloads will perform better in postseason appearances.

STUDY DESIGN

Retrospective cohort.

LEVEL OF EVIDENCE

Level 3.

METHODS

NHL goalies with a minimum of 20 regular season games played and 3 playoff game appearances in the same season since 2013-2014 were eligible for inclusion. All regular season and postseason workload and performance metrics were collected from publicly available statistical databases. Workload outcomes included games started, minutes played, and shots faced. Performance outcomes included goals against average, save percentage, goals saved above average, and quality start percentage. Multivariable linear regression was used to determine whether regular season workload predicted postseason performance, when controlling for age and injury status.

RESULTS

A total of 51 goalies contributed 111 goalie-seasons to the analysis. The results of the primary model indicated that regular season workload explained only 6.8% of the variance in postseason performance, and that this relationship was not significant (R2 = 0.068; F(5,92) = 1.335; P = 0.26).

CONCLUSION

Based on data from 6 full seasons, there is no evidence to support a specific regular season game limit among NHL goalies with the aim of improved performance.

CLINICAL RELEVANCE

Individualized workload plans may be more appropriate than a single league-wide standard.

Machine learning predictive modeling of the persistence of post-Covid19 disorders: Loss of smell and taste as case studies

The worldwide health crisis triggered by the novel coronavirus (COVID-19) epidemic has resulted in an extensive variety of symptoms in people who have been infected, the most prevalent disorders of which are loss of smell and taste senses. In some patients, these disorders might occasionally last for several months and can strongly affect patients' quality of life. The COVID-19-related loss of taste and smell does not presently have a particular therapy. However, with the help of an early prediction of these disorders, healthcare providers can direct the patients to control these symptoms and prevent complications by following special procedures. The purpose of this research is to develop a machine learning (ML) model that can predict the occurrence and persistence of post-COVID-19-related loss of smell and taste abnormalities. In this study, we used our dataset to describe the symptoms, functioning, and disability of 413 verified COVID-19 patients. In order to prepare accurate classification models, we combined several ML algorithms, including logistic regression, k-nearest neighbors, support vector machine, random forest, extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM). The accuracy of the loss of taste model was 91.5 % with an area-under-cure (AUC) of 0.94, and the accuracy of the loss of smell model was 95 % with an AUC of 0.97. Our proposed modelling framework can be utilized by hospitals experts to assess these post-COVID-19 disorders in the early stages, which supports the development of treatment strategies.

Acute renal failure, COVID-19 and deaths, worrying rates in intensive care units: a cross-sectional study

BACKGROUND

Acute kidney failure is a serious consequence of coronavirus disease 2019 (COVID-19).

OBJECTIVES

To identify the prevalence of COVID-19, kidney failure, frequency of death, and associated factors in patients receiving intensive care.

DESIGN AND SETTING

Analytical cross-sectional study conducted in the intensive care unit (ICU) of a medium-sized philanthropic general hospital in center-west Minas Gerais.

METHODS

Adults and older individuals who underwent real-time polymerase chain reaction testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were evaluated by the nephrology team.

RESULTS

Among the 176 patients, the prevalence of COVID-19 and acute kidney injury (AKI) were 103 (58.5%) and 132 (75%), respectively, and 44 (25%) had chronic kidney disease (CKD) and 16 (15,5%) were positive for SARS-CoV-2. In the Charlson index classification, which estimates the risk of death, a statistically significant difference was identified in the percentages of groups with and without COVID-19 for indices 0, 1, and 2. There was a significant association between kidney disease and ICU mortality (P < 0.05). Patients with CKD had fewer fatal outcomes (13/97, 13.4%) than those with AKI (85/97, 87.6%).

CONCLUSIONS

COVID-19 rates remained high long after diagnosis and prevention of SARS-CoV-2 infection. In addition, a higher death rate among patients who developed AKI, whose prevalence was also greater than that in the national literature, regardless of the presence of COVID-19, revealed a worrying scenario and corroborated the need for early and judicious approaches to preserve the lives of patients with AKI admitted to intensive care units.

Physical activity levels during COVID-19 pandemic and its associated factors in patients with Chagas disease

Background

A better understanding of the consequences of the Coronavirus Disease 2019 (COVID-19) pandemic on lifestyle of patients with Chagas disease (ChD) is of paramount importance to facilitate the implementation of intervention strategies tailored to this specific population.

Objective

The present study aimed to evaluate the level of physical activity (PA) in Chagas disease (ChD) patients during the Coronavirus Disease 2019 (COVID-19) pandemic and its main associated factors.

Methods

This is a cross-sectional study with 187 patients of both sexes, aged ≥18 years, followed in a national infectious disease center (Rio de Janeiro, Brazil). The level of PA was determined by the International Physical Activity Questionnaire short version and expressed in terms of total volume of physical activity (PA) (MET-minutes per week). Individuals were classified as physically active following the 2020 World Health Organization PA guideline. The exposure variables were age, sex, race, marital status, schooling, income per capita, number of rooms per domicile, number of residents per domicile, body mass index, clinical form of ChD, COVID-19 antibodies, comorbidities, self-reported anxiety, self-reported depression, self-reported fear, and self-reported sadness. The association between the exposure variables with total PA (as a continuous variable) was determined using univariate and multivariate linear regression models.

Results

Mean age was 61.1 ± 11.6 years. Most (62%) were women and self-declared their race as mixed (50.8%). The percentage of physically active individuals according to was 52%. The variables independently associated with total PA levels were non-white race (Exp β = 1.39; 95% CI 1.02 to 1.90), dyslipidemia (Exp β = 0.73; 95% CI 0.56 to 0.95) and self-reported depression during quarantine (Exp β = 0.71; 95% CI 0.52 to 0.96).

Conclusion

Non-white race was positively associated with total levels of PA, while dyslipidemia, and self-reported depression during quarantine were negatively associated with total levels of PA. The identification of associated factors can facilitate the development of tailored strategies to increase PA levels ChD patients.

An in-depth analysis of COVID-19 treatment: Present situation and prospects

Coronavirus disease 2019 (COVID-19) the most contagious infection caused by the unique type of coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), produced a global pandemic that wreaked havoc on the health-care system, resulting in high morbidity and mortality. Several methods were implemented to tackle the virus, including the repurposing of existing medications and the development of vaccinations. The purpose of this article is to provide a complete summary of the current state and future possibilities for COVID-19 therapies. We describe the many treatment classes, such as antivirals, immunomodulators, and monoclonal antibodies, that have been repurposed or developed to treat COVID-19. We also looked at the clinical evidence for these treatments, including findings from observational studies and randomized-controlled clinical trials, and highlighted the problems and limitations of the available evidence. Furthermore, we reviewed existing clinical trials and prospective COVID-19 therapeutic options, such as novel medication candidates and combination therapies. Finally, we discussed the long-term consequences of COVID-19 and the importance of ongoing research into the development of viable treatments. This review will help physicians, researchers, and policymakers to understand the prevention and mitigation of COVID-19.

Comparative analysis of stress level and coping strategies due to COVID-19 pandemics among dental students in Indonesia and Vietnam

Objective

This study investigated and compared the perceived stress levels and coping strategies of dental students in Indonesia and Vietnam during the COVID-19 pandemic.

Materials and methods

A cross-sectional survey was conducted online in 2022 for dental students from the University of Indonesia and Can Tho University, Vietnam (n = 304). Perceived stress levels and coping strategies were assessed using a self-administered questionnaire about student sociodemographic factors, learning experiences, coping strategies, stress-related factors, and stress levels. Data were analyzed using Mann-Whitney, Kruskal Wallis, and Spearman correlation tests.

Results

This study showed the overall mean stress level was 23.9 (SD = 5.63), with a significant difference observed between Indonesian (24.44, SD = 5.14) and Vietnamese students (23.32, SD = 6.13) (p = 0.016), indicating potential variations in stress experiences. Key findings include a correlation between living arrangements and stress, as students living independently report higher stress (23.96, SD = 6.24) compared to those living with family (23.95, SD = 5.29) (p = 0.018). Fifth-year students exhibit lower stress levels (21.17, SD = 6.12) than other grades (p = 0.026). Multiple training sessions about COVID-19 are associated with better coping strategies (9.95, SD = 0.91, p < 0.001). The study also revealed different perceptions of COVID-19 learning experiences among dental students in Indonesian and Vietnamese dental students, with significant correlations observed between stress levels, coping strategies, and specific concerns such as graduation time and COVID-19-induced changes (p < 0.05).

Conclusion

This study shows students experience moderate stress levels, but the significant differences in stress experiences and coping strategies between the two countries highlighted the need for tailored approaches. Providing social support from faculty, family, friends, and peer dental students was one of the students' strategies to cope and minimize stress levels.

Randomized Controlled Trial on the Effects of Home-Based Breathing Exercises on Respiratory Function and Fatigue in COVID-19-Cured Young Patients

This study investigates the effects of home-based Kakao Healthcare breathing exercises and stretching on respiratory function and fatigue in COVID-19-cured patients. A total of 35 participants performed four movements of home-based breathing exercises and five respiratory muscle stretching exercises four times a week for four weeks. Respiratory function was measured using forced vital capacity(FVC), forced expiratory volume in one second(FEV1), FEV1/FVC ratio, and peak expiratory flow(PEF). Fatigue was assessed using the Fatigue Severity Scale (FSS). Data analysis was performed using independent-sample and paired-sample t-tests in SPSS 24, with the significance level set at p < 0.05. After four weeks of home-based Kakao Healthcare breathing exercises, there were significant increases in respiratory FVC, FEV1, FEV1/FVC, and PEF function values observed in the training group (T.G.) after the exercise intervention (p < 0.05). Such an increase was observed when comparing these values with their corresponding pre-exercise measurements. In contrast, there were no statistically significant differences in respiratory function outcomes before and after exercise in the control group (C.G.) (p > 0.05). The FSS scores were statistically significant within the training group (T.G.) (p > 0.05). The 4-week Kakao Healthcare breathing exercise scheme was found to be capable of improving some respiratory functions in COVID-19-recovered patients, but it showed no significant improvement in fatigue levels.

Impact of coronavirus disease 2019 on the utilization of hospital services and development of optimal pandemic control strategy in Chinese tertiary hospitals during the Omicron wave

BACKGROUND

This study aimed to assess the impact of coronavirus disease 2019 (COVID-19) on hospital service utilization and revenue in Chinese tertiary hospitals and develop an optimal pandemic control strategy (OPCS) for the peak period of the Omicron wave.

METHODS

Retrospective data from three Chinese tertiary hospitals (provincial, city, and county level) were analyzed for three phases: pre-outbreak (Jan-Apr 2019), outbreak (Jan-Apr 2020), and post-outbreak (Jan-Apr 2021). OPCS was developed under the guidance of the China government pandemic control policy during post-break phase of COVID-19. A decision-tree model was constructed to compare OPCS to strict pandemic control strategy during outbreak phase for the hospital service utilization and hospital revenue in a provincial tertiary hospital during the Omicron wave.

RESULTS

Outpatient, emergency room (ER) visits, hospitalizations, and intensive care admissions dropped by 33.8-53.4% during the outbreak, with the provincial hospital being the most affected. Hospital revenue also declined, especially for the provincial hospital (40.1%). Post-outbreak, most services recovered, but ER visits remained lower (11.6% decrease for provincial hospital, 46.5% for county hospital). Total income and expenditure decreased, with the provincial hospital experiencing the most significant revenue reduction (45.7%). OPCS showed greater utilization of medical services (31.6 times more outpatient visits; 1.7 times more inpatient days; 3.4% more surgery volume) and higher revenue (¥220.8 million more) compared to the strict pandemic control strategy.

CONCLUSIONS

COVID-19 measures were associated with less hospital service utilization and revenue in Chinese tertiary hospitals. The developed OPCS in Chinese tertiary hospitals, focusing on isolating infected inpatients but not shutting down the hospital facilities exposed to virus, could be effective in optimizing hospital service utilization and hospital revenue during the Omicron wave.

Adverse Effects of Personal Protective Equipment and Their Self-Practiced Preventive Strategies among the Covid-19 Frontline Health Care Workers

BACKGROUND

Owing to the highly contagious nature of SARS-CoV-2, the use of personal protective equipment (PPE) among the healthcare workers (HCWs) is mandatory. However, PPE associated adverse effects are also there.

OBJECTIVE

To study the adverse effects associated with PPE and their preventive measures amongst the HCWs.

MATERIAL AND METHODS

A descriptive study was conducted among 200 HCWs working in a Covid center of a tertiary care center. The participants were sent the questionnaires online. Some of them not having smart phones were interviewed telephonically. Their information profile, the various adverse effects associated with PPE, and the preventive measures being practiced by them were noted. Data was analyzed using descriptive and inferential statistics.

RESULTS

Total 97% HCWs reported adverse effects with hazmat suit; 96% with N 95 mask; 92% with goggle and 78% with gloves. The adverse effects associated with the prolonged use of the mask were erythema; erosions and scar at the nasal bridge; ear pain; difficulty in breathing; and headache. Sixty-seven percent of the participants had sweating with the use of gloves, which led to cutaneous exfoliation such as dry hands (55%) and skin itching (43%). Moisturizers and natural oils were used to prevent the dryness of hands. For the pressure related injury over the nasal bridge due to N95 mask, participants used to apply Band-Aid (adhesive bandage) and cotton dressing.

CONCLUSION

Adverse skin reactions related to PPE are common among HCWs. Comprehensive assessment of the skin condition and awareness on adverse skin reactions should be advocated.

Immunoglobulin A vasculitis: The clinical features and pathophysiology

Palpable purpura, gastrointestinal symptoms, joint involvement, and renal disease characterize immunoglobulin A vasculitis (IgAV). Renal involvement ranging from mild proteinuria to severe nephritic or nephrotic syndrome highlights the importance of monitoring kidney function in patients with IgAV. Recognizing these key features is crucial for early diagnosis and appropriate management to prevent long-term complications related to kidney disease. However, the pathogenesis of IgAV remains unclear. Disease mechanisms involve various factors, including the interplay of aberrantly glycosylated IgA, anti-endothelial cell antibodies, and neutrophils following infection triggers, which are the main pathogenic mechanisms of IgAV. Insights from cases of IgAV related to Coronavirus disease 2019 have offered additional understanding of the connection between infection and IgAV pathogenesis. This review provides a valuable resource for healthcare professionals and rheumatology researchers seeking a better understanding of the clinical features and pathophysiology of IgAV.

A non-invasive AI-based system for precise grading of anosmia in COVID-19 using neuroimaging

COVID-19 (Coronavirus), an acute respiratory disorder, is caused by SARS-CoV-2 (coronavirus severe acute respiratory syndrome). The high prevalence of COVID-19 infection has drawn attention to a frequent illness symptom: olfactory and gustatory dysfunction. The primary purpose of this manuscript is to create a Computer-Assisted Diagnostic (CAD) system to determine whether a COVID-19 patient has normal, mild, or severe anosmia. To achieve this goal, we used fluid-attenuated inversion recovery (FLAIR) Magnetic Resonance Imaging (FLAIR-MRI) and Diffusion Tensor Imaging (DTI) to extract the appearance, morphological, and diffusivity markers from the olfactory nerve. The proposed system begins with the identification of the olfactory nerve, which is performed by a skilled expert or radiologist. It then proceeds to carry out the subsequent primary steps: (i) extract appearance markers (i.e.,1 s t and2 n d order markers), morphology/shape markers (i.e., spherical harmonics), and diffusivity markers (i.e., Fractional Anisotropy (FA) & Mean Diffusivity (MD)), (ii) apply markers fusion based on the integrated markers, and (iii) determine the decision and corresponding performance metrics based on the most-promising classifier. The current study is unusual in that it ensemble bags the learned and fine-tuned ML classifiers and diagnoses olfactory bulb (OB) anosmia using majority voting. In the 5-fold approach, it achieved an accuracy of 94.1%, a balanced accuracy (BAC) of 92.18%, precision of 91.6%, recall of 90.61%, specificity of 93.75%, F1 score of 89.82%, and Intersection over Union (IoU) of 82.62%. In the 10-fold approach, stacking continued to demonstrate impressive results with an accuracy of 94.43%, BAC of 93.0%, precision of 92.03%, recall of 91.39%, specificity of 94.61%, F1 score of 91.23%, and IoU of 84.56%. In the leave-one-subject-out (LOSO) approach, the model continues to exhibit notable outcomes, achieving an accuracy of 91.6%, BAC of 90.27%, precision of 88.55%, recall of 87.96%, specificity of 92.59%, F1 score of 87.94%, and IoU of 78.69%. These results indicate that stacking and majority voting are crucial components of the CAD system, contributing significantly to the overall performance improvements. The proposed technology can help doctors assess which patients need more intensive clinical care.

Detection method of viral pneumonia imaging features based on CT scan images in COVID-19 case study

This study aims to automatically analyze and extract abnormalities in the lung field due to Coronavirus Disease 2019 (COVID-19). Types of abnormalities that can be detected are Ground Glass Opacity (GGO) and consolidation. The proposed method can also identify the location of the abnormality in the lung field, that is, the central and peripheral lung area. The location and type of these abnormalities affect the severity and confidence level of a patient suffering from COVID-19. The detection results using the proposed method are compared with the results of manual detection by radiologists. From the experimental results, the proposed system can provide an average error of 0.059 for the severity score and 0.069 for the confidence level. This method has been implemented in a web-based application for general users.•A method to detect the appearance of viral pneumonia imaging features, namely Ground Glass Opacity (GGO) and consolidation on the chest Computed Tomography (CT) scan images.•This method can separate the lung field to the right lung and the left lung, and it also can identify the detected imaging feature's location in the central or peripheral of the lung field.•Severity level and confidence level of the patient's suffering are measured.

Identification of a broad-spectrum high-affinity peptide ligand for the purification of spike proteins

Since the outbreak of coronavirus disease 2019, the global demand for vaccines has increased rapidly to prevent infection and protect high-risk populations. However, identifying viral mutations poses an additional challenge for chromatographic purification of vaccines and subunit vaccines. In this study, a new affinity peptide model, X1VX2GLNX3WX4RYSK, was established, and a library of 612 peptides was generated for ligand screening. Based on a multistep strategy of ligand screening, 18 candidate peptides were obtained. The top ranking peptide, LP14 (YVYGLNIWLRYSK), and two other representative peptides, LP02 and LP06, with lower rankings were compared via molecular dynamics simulation. The results revealed that peptide binding to the receptor binding domain (RBD) was driven by hydrophobic interactions and the key residues involved in the binding were identified. Surface plasmon resonance analysis further confirmed that LP14 had the highest affinity for the wild RBD (Kd=0.520 μmol/L), and viral mutation had little influence on the affinity of LP14, demonstrating its great potential as a broad-spectrum ligand for RBD purification. Finally, chromatographic performance of LP14-coupled gel-packed column verified that both wild and omicron RBDs could be purified and were eluted by 0.1 mol/L Gly-HCl buffer (pH 3.0). This research identified a broad-spectrum peptide for RBD purification based on rational design and demonstrated its potential application in the purification of RBDs from complex feedstock.

Communal conflicts in Nigeria: Assessment of the impacts on internally displaced persons and settlements amidst COVID-19 pandemic

Acknowledging that violent communal conflicts can lead to increased displacement and overcrowding in IDP camps, this study investigates the impact of such conflicts on internally displaced persons (IDPs) and their camps in Benue State, Nigeria, amid the COVID-19 pandemic. Employing a mixed-method approach, 386 IDPs and 20 stakeholders were purposively selected. Based on the research objectives, descriptive and inferential statistics were employed to analyze the research objectives. Employing logistics and multi-linear regressions, the data reveal that unregulated access to IDP camps resulted in overcrowding, straining resources like food and shelter. The study identifies economic losses and various challenges stemming from communal conflict and COVID-19, causing chaos, anxiety, and uncertainty in the IDP camps. These findings highlight the urgent need for ongoing humanitarian assistance to alleviate the precarious conditions faced by IDPs and their camps nationwide and recommend that the IDPs camps across the country need constant humanitarian aid to mitigate the various precarious conditions in the camps.

Detection of OXA-181 Carbapenemase in Shigella flexneri

We report the detection of OXA-181 carbapenemase in an azithromycin-resistant Shigella spp. bacteria in an immunocompromised patient. The emergence of OXA-181 in Shigella spp. bacteria raises concerns about the global dissemination of carbapenem resistance in Enterobacterales and its implications for the treatment of infections caused by Shigella bacteria.

Knowledge, attitudes and practices towards COVID-19 among healthcare workers: A cross-sectional survey from Kiambu County, Kenya

BACKGROUND

The knowledge possessed by healthcare workers (HCWs), along with their attitudes and practices play a vital role in effectively managing a pandemic. This is crucial considering that HCWs are exposed to great risk at the forefront of such crises. We aimed to describe the knowledge, attitude, and practices (KAP) of HCWs during the COVID-19 pandemic in Kiambu county, Kenya.

METHODS

A cross-sectional study using a structured questionnaire was conducted from 11th March 2021 to 12th August 2021. Bloom's cutoff points were used to determine KAP scores (>80%: good, 60-79%: medium and <60% poor). Multivariable ordinal logistic regression analyses were conducted, calculating adjusted odds ratios (AOR) at a 95% confidence interval. Spearman's rank correlations were used to examine the relationship between KAP scores.

RESULTS

438 HCWs participated in the study, majority of whom were female (64.5%), had obtained a diploma (59.6%) and were informed through government websites (78.6%). 43.0% had good knowledge, 17.5% good attitudes, and 68.4% good practice. 23.0% had medium knowledge, 35.6% medium attitude, 15.7% medium practice, while 34.0% had poor knowledge, 46.9% poor attitude and 15.9% poor practice. Only 68.9% of the caregivers correctly recognized the county's COVID-19 isolation centre and only 7.9% chose the two correct documents for the entry of data for a suspected COVID-19 case. Furthermore, the general attitude towards their own personal safety and their training regarding PPEs (17.8% and 23.8% strongly agreed with the contrary) were less compelling. There was a significant positive association between obtaining information from international government sites [AOR: 1.382 (1.058-1.807); p = 0.0178)] and good knowledge. Referring to local government sites for information regarding COVID-19 produced better attitudes [AOR: 1.710 (1.194-2.465); p = 0.0036] and produced almost twice the odds of having better practice [AOR: 1.800 (1.181-2.681); p = 0.0048]. There was a significant correlation between knowledge and practice (r = -0.330, p = 2.766×10-11), and knowledge and attitude (r = -0.154, p = 6.538×10-3).

CONCLUSION

This study emphasizes the substantial impact that governing bodies have on shaping favorable KAP. As a result, it's crucial for local government platforms to prioritize the dissemination of up-to-date information that aligns with international standards. This information should be tailored to the specific region, focusing on addressing deficiencies in healthcare practices and patient management. The identification of a significant number of HCWs lacking confidence in managing COVID-19 patients and feeling unprotected underscores a clear need for improvement in their understanding and implementation of preventive measures. This gap can be bridged by adequately equipping HCWs with locally manufactured PPEs. This aspect is crucial for pandemic preparedness, and we further advocate for the creation of a locally produced repository of medical equipment. These actions are pivotal in improving future crisis management capabilities.

Global Perspective on COVID-19 Therapies, Cardiovascular Outcomes, and Implications for Long COVID: A State-of-the-Art Review

The COVID-19 pandemic has resulted in many therapies, of which many are repurposed and used for other diseases in the last decade such in Influenza and Ebola. We intend to provide a robust foundation for cardiovascular outcomes of the therapies to better understand the rationale for the clinical trials that were conducted during the COVID-19 pandemic, and to gain more clarity on the steps moving forward should the repurposing provide clinical benefit in pandemic situations. With this state-of-the-art review, we aim to improve the understanding of the cardiovascular involvement of the therapies prior to, during, and after the COVID-19 pandemic to provide meaningful findings to the cardiovascular specialists and clinical trials for therapies, moving on from the period of pandemic urgency.

Early warning of potential epidemics: A pilot application of an early warning tool to data from the pulmonary clinic of the university hospital of Thessaly, Greece

BACKGROUND & METHODS

This paper describes a pilot application of the Epidemic Volatility Index (EVI) to data from the pulmonary clinic of the University Hospital of Thessaly, Greece, for monitoring respiratory infections, COVID-19, and flu cases. EVI, a simple and easily implemented early warning method based on the volatility of newly reported cases, exhibited consistent and stable performance in detecting new waves of epidemics. The study highlights the importance of implementing early warning tools to address the effects of epidemics, including containment of outbreaks, timely intervention strategies, and resource allocation within real-world clinical settings as part of a broader public health strategy.

RESULTS

The results presented in the figures demonstrate the association between successive early warnings and the onset of new waves, providing valuable insights for proactive decision-making. A web-based application enabling real-time monitoring and informed decision-making by healthcare professionals, public health officials, and policymakers was developed.

CONCLUSIONS

This study emphasizes the significant role of early warning methods in managing epidemics and safeguarding public health. Future research may explore extensions and combinations of multiple warning systems for optimal outbreak interventions and application of the methods in the context of personalized medicine.

Social participation, positive affect, and negative affect in postoperative patients with hip fractures: A cross-sectional study

This study investigated the social participation, positive affect (PA), and negative affect (NA) of patients with hip fractures after surgery and determined their possible predictive factors. We used a cross-sectional study design to recruit 154 participants with hip fractures post-surgery. Assessment tools included the Barthel Index, the Automatic Thoughts Questionnaire, the Assessment of Life Habits, and the Positive and Negative Affect Schedule. Patients with better functioning in daily living activities experienced more social participation, higher PA, and lower NA. Patients with more positive automatic thoughts experienced more social participation and higher PA. Patients with more negative automatic thoughts experienced more social participation, lower PA, and higher NA. Early rehabilitation and psychosocial interventions should be provided for postoperative hip fracture patients to improve their activities of daily living and emotional well-being.

Lay beliefs of COVID-19 vaccine refusal among intercity commercial drivers in the Volta region of Ghana: recommendations for improved vaccine uptake

BACKGROUND

The COVID-19 vaccine has faced increased hesitancy in Ghana and the Volta region in particular since its rollout. Acceptance of the vaccine among intercity commercial drivers is crucial, especially in the Volta region, as they transport people within and outside the country and could fuel the transmission of the virus if not vaccinated.

OBJECTIVE

We therefore established lay beliefs surrounding COVID-19 vaccine refusal among intercity commercial drivers in the Volta region of Ghana, as well as their recommendations for improved vaccine uptake.

METHODS

We purposively interviewed twenty-five (25) intercity commercial drivers who had not been vaccinated for COVID-19 in the Volta region of Ghana using a semi-structured interview guide and analysed their responses thematically using the ATLAS.ti software.

RESULTS

Various (ten) beliefs surrounding COVID-19 vaccine refusal were identified. These include the nonexistence of COVID-19, being immune to COVID-19, and the belief in the nonexistence of vaccines and vaccines being meant for the sick. Other beliefs identified were the belief that the COVID-19 vaccine is meant to reduce Africa's population, that the vaccine triggers other health complications leading to death, the belief that vaccination could cause financial loss, political mistrust, that the COVID-19 vaccine is not permitted by God, and the belief that prayer prevents COVID-19 infection. They also suggested that the adoption of persuasive communication techniques, the publication of information on those who died of COVID-19, providing evidence of tests conducted on the vaccine, testing people before vaccination, provision of care to those who may experience side effects from the vaccine, and being able to explain why varied vaccines are used for the same virus could help improve vaccine uptake.

CONCLUSION

Our findings show that there is a general lack of understanding and mistrust surrounding the COVID-19 vaccine among intercity commercial drivers in the Volta region. Hence, health promotion officers and communicators in the region need to be knowledgeable on the vaccine as well as on the conspiracy theories thwarting its uptake to provide comprehensive education to the public and intercity commercial drivers to improve its uptake.

Increased risk of hospitalization, intensive care and death due to COVID-19 in patients with adrenal insufficiency: A Swedish nationwide study

BACKGROUND

Patients with adrenal insufficiency (AI) have excess morbidity and mortality related to infectious disorders. Whether patients with AI have increased morbidity and mortality from COVID-19 is unknown.

METHODS

In this linked Swedish national register-based cohort study, patients with primary and secondary AI diagnosis were identified and followed from 1 January 2020 to 28 February 2021. They were compared with a control cohort from the general population matched 10:1 for age and sex. The following COVID-19 outcomes were studied: incidence of COVID-19 infection, rates of hospitalization, intensive care admission and death. Hazard ratios (HR) with 95% confidence intervals (95% CI) adjusted for socioeconomic factors and comorbidities were estimated using Cox regression analysis.

RESULTS

We identified 5430 patients with AI and 54,300 matched controls: There were 47.6% women, mean age was 57.1 (standard deviation 18.1) years, and the frequency of COVID-19 infection was similar, but the frequency of hospitalization (2.1% vs. 0.8%), intensive care (0.3% vs. 0.1%) and death (0.8% vs. 0.2%) for COVID-19 was higher in AI patients than matched controls. After adjustment for socioeconomic factors and comorbidities, the HR (95% CI) was increased for hospitalization (1.96, 1.59-2.43), intensive care admission (2.76, 1.49-5.09) and death (2.29, 1.60-3.28).

CONCLUSION

Patients with AI have a similar incidence of COVID-19 infection to a matched control population, but a more than twofold increased risk of developing a severe infection or a fatal outcome. They should therefore be prioritized for vaccination, antiviral therapy and other appropriate treatment to mitigate hospitalization and death.

Chinese model in global COVID-19 prevention and control: Successful experience, institutional advantages and optimal path

The prevention and control measures adopted by various countries have different effects in the face of COVID-19. The performance in some socialist countries and capitalist countries were compared from three aspects, including the proportion of confirmed cases and deaths to the national population, economic recovery and production and living, social satisfaction and international evaluation. The overall performance of listed socialist countries was better than that of capitalist countries. China's performance, forming a unique Chinese model of the epidemic prevention and control, was better than that of other socialist countries. The successful experience of Chinese model can be mainly reflected in four aspects, including resource allocation, social participation, speed and quality, system and mechanism optimization. The successful experience roots in the four institutional advantages of the leadership of the Communist Party of China (CPC), coordinated national response, basic economic system and traditional Chinese culture. In the future, Chinese government should adhere to the socialist system with Chinese characteristics and improve the public health and emergency management system. Chinese government should accelerate the construction of a community with a shared future for mankind and promote the modernization of the national governance system and governance capacity. These findings are of great significance in understanding China's prevention and control measures, the institutional advantages and subsequent optimization.

Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic Containment

Since late 2019, most efforts to control the COVID-19 pandemic have focused on developing vaccines. By mid-2020, some vaccines fulfilled international regulations for their application. However, these vaccines have shown a decline in effectiveness several weeks after the last dose, highlighting the need to optimize vaccine administration due to supply chain limitations. While methods exist to prioritize population groups for vaccination, there is a lack of research on how to optimally define the time between doses when two-dose vaccines are administrated to such groups. Under such conditions, modeling the real effect of each vaccine on the population is critical. Even though several efforts have been made to characterize vaccine effectiveness profiles, none of these initiatives enable characterization of the individual effect of each dose. Thus, this paper presents a novel methodology for estimating the vaccine effectiveness profile. It addresses the vaccine characterization problem by considering a deconvolution of relevant data profiles, treating them as an optimization process. The results of this approach enabled the independent estimation of the effectiveness profiles for the first and second vaccine doses and their use to find sweet spots for designing efficient vaccination strategies. Our methodology can enable a more effective and efficient contemporary response against the COVID-19 pandemic, as well as for any other disease in the future.

After the Hurricane: Anti-COVID-19 Drugs Development, Molecular Mechanisms of Action and Future Perspectives

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is a new coronavirus in the Coronaviridae family. The COVID-19 pandemic, caused by SARS-CoV-2, has undoubtedly been the largest crisis of the twenty-first century, resulting in over 6.8 million deaths and 686 million confirmed cases, creating a global public health issue. Hundreds of notable articles have been published since the onset of this pandemic to justify the cause of viral spread, viable preventive measures, and future therapeutic approaches. As a result, this review was developed to provide a summary of the current anti-COVID-19 drugs, as well as their timeline, molecular mode of action, and efficacy. It also sheds light on potential future treatment options. Several medications, notably hydroxychloroquine and lopinavir/ritonavir, were initially claimed to be effective in the treatment of SARS-CoV-2 but eventually demonstrated inadequate activity, and the Food and Drug Administration (FDA) withdrew hydroxychloroquine. Clinical trials and investigations, on the other hand, have demonstrated the efficacy of remdesivir, convalescent plasma, and monoclonal antibodies, 6-Thioguanine, hepatitis C protease inhibitors, and molnupiravir. Other therapeutics, including inhaled medicines, flavonoids, and aptamers, could pave the way for the creation of novel anti-COVID-19 therapies. As future pandemics are unavoidable, this article urges immediate action and extensive research efforts to develop potent specialized anti-COVID-19 medications.

Assessing the impact of the COVID-19 pandemic on latex glove usage and latex allergy complaints among nurses: A descriptive study

BACKGROUND

The coronavirus 2019 (COVID-19) pandemic has led to a significant increase in the use of latex gloves among nurses. However, concerns about the rise in latex allergies and related complaints due to this increase remain uncertain.

OBJECTİVE

This study aims to assess the rates of latex glove usage and allergy-related complaints among nurses working in hospitals during the COVID-19 pandemic.

METHODS

Between May 15 and June 15, 2021, ethical approvals were obtained for a cross-sectional study involving 448 volunteer nurses. Descriptive statistics were used to represent categorical values as counts (n) and percentages (%), while continuous values were represented as mean±standard deviation. The normal distribution of the data was assessed using the Kolmogorov-Smirnov and Shapiro-Wilk tests. Comparative analyses were conducted using paired sample t-test, Pearson's chi-squared (x2) test, McNemar's chi-squared (x2) test, and Spearman correlation analysis.

RESULTS

Before the pandemic, the average number of invasive procedures was 45.13±26.48, whereas during the pandemic, this rate increased to 50.23±29.14. The average glove usage duration went from 7.69±3.13 hours to 14.73±3.68 hours during the pandemic. Among nurses, the rate of allergic symptoms, which was previously at 31.5%, rose to 33.3% during the pandemic.

CONCLUSİON

This study revealed a significant increase in daily invasive procedures and the use of latex gloves among nurses during the pandemic period. Simultaneously, the frequency of allergic symptoms also rose. These findings underscore the importance of awareness and preventive measures, particularly regarding latex allergies, in the healthcare field.

Hospitalizations for Obstetrical Conditions During and After the Covid-19 Pandemic

BACKGROUND

During the Covid-19 pandemic there have been a drastic decrease in hospitalizations for non-Covid conditions. The aim of this study was to evaluate the trend in hospitalizations for obstetrical conditions during and after the Covid-19 pandemic.

METHODS

For this study there we used electronical data base in order to search for all the obstetrical patients that were hospitalized in a tertiary maternity, Clinical Emergency County Hospital Craiova, during the pre-pandemic period (between March - December 2019), during pandemics (2020 March - December, 2021 March - December) and post pandemics (2022 March - December).

RESULTS

The total number of hospitalizations during 2020 dropped by 28% compared to the pre-pandemic year - 2019, and further by 30% in 2021, and by 26% in 2022. In terms of day admissions, a decreasing trend can be observed, with a total of 3230 admissions, from which, 208 in 2020 showing a decrease of 93%, 695 in 2021 with a decrease of 78% and 941 in 2022 with a decrease of 70% compared to 2019.We experienced a significant increase of vaginal birth rate during the pandemic (2020-2021) of 24% that can be attributed to the unavailability of many surrounding low-risk birth units during the pandemic.

CONCLUSION

The obstetrical conditions hospitalizations dramatically dropped during the COVID-19 pandemic and have not yet recovered to the pre-pandemic level.

Promotion of nutritional behaviors in the prevention of cardiovascular diseases: application of the health belief model in primary health care centers

BACKGROUND

Cardiovascular diseases (CVD) are the most important cause of death in many countries of the world, including Iran. This study aimed to investigate the effect of educational intervention based on the Health Belief Model (HBM) on the promotion of nutritional behaviors to prevent CVD among the all people (aged 30-59 years).

METHODS

This semi-experimental study was conducted on all people (aged 30-59 years) referring to the primary healthcare centers of Jahorm city, southern Iran, from September 2021 to July 2022. In this study, 100 participants (50 participants for the intervention group and 50 for the control group) were selected using a multistage cluster random sampling method. The data collection tool was a questionnaire with confirmed validity and reliability. Also, the food consumption frequency checklist was used. The educational intervention included holding four sessions, each lasting for 60 min. The methods used for training included lectures, questions and answers, and group discussions. Before the intervention and three months after, the intervention and control groups completed the questionnaire. The obtained data were analyzed by SPSS 17.

RESULTS

after the educational intervention, the mean score of knowledge (4.84 ± 0.84; 2.76 ± 1.41; p < 0.001), perceived susceptibility (9.52 ± 1.81; 8.76 ± 1.9; p = 0.004), perceived severity (14.78 ± 1.66; 13.80 ± 2.23; p = 0.015), perceived benefits (10.66 ± 1.79; 7.52 ± 1.99; p < 0.001), perceived barriers (5.92 ± 2.81; 12.68 ± 10.24; p < 0.001) and practice (178.78 ± 14.35; 147.36 ± 13.19; p < 0.001) showed a significant difference between the intervention and control groups.

CONCLUSION

The results showed that the educational intervention effectively improved people (aged 30-59 years) knowledge and HBM constructs to prevent CVD. Also, improving people's performance regarding CVD prevention behaviors will be successful by implementing an educational intervention based on the HBM.

Case Report: Case report: Administration of anticoagulant therapy after neuro-anesthesia procedure for hemorrhagic stroke patients with COVID-19 complications and its ethical and medicolegal consideration

Background

Ethical dilemmas can occur in any situation in clinical medicine. In patients undergoing neuro-anesthesia for surgical procedure evacuation of intracerebral hemorrhage with a history of hemorrhagic stroke, anticoagulants should not be given because they can cause recurrent bleeding. Meanwhile, at the same time, the patient could also be infected with coronavirus disease 2019 (COVID-19), one of treatment is the administration of anticoagulants.

Methods

A case report. A 46-year-old male patient was admitted to hospital with a loss of consciousness and was diagnosed with intracerebral hemorrhage due to a hemorrhagic stroke and was confirmed positive for COVID-19. Giving anticoagulants to patients is considered counterproductive so, an ethical dilemma arises. For this reason, a joint conference was held to obtain the best ethical and medicolegal solutions for the patient.

Results

By using several methods of resolving ethical dilemmas such as basic ethical principles, supporting ethical principles, and medicolegal considerations, it was decided that the patient was not to be given anticoagulants.

Conclusions

Giving anticoagulants to hemorrhagic stroke patients is dangerous even though it is beneficial for COVID-19 patients, so here the principle of risk-benefit balance is applied to patients who prioritize risk prevention rather than providing benefits. This is also supported by the prima facie principle by prioritizing the principle of non-maleficence rather than beneficence, the minus malum principle by seeking the lowest risk, and the double effect principle by making the best decision even in a slightly less favorable way as well as the medicolegal aspect by assessing patient safety and risk management.

Risk factors and clinical presentations of long COVID in Africa: A scoping review

COVID-19-related complications can last for years, even in patients who are asymptomatic during the acute phase, a phenomenon referred to as long COVID. This scoping review aimed to summarize the risk factors and clinical symptoms of long COVID in Africa between 2020 and 2022. Five studies were included. Three of the studies used in this review were retrospective cross-sectional studies, one was a prospective cohort study while another one was a case-control study. The review identified several risk factors for long COVID, including being female, being older than 40 years, having more than four acute COVID-19 symptoms, and having concomitant conditions such as asthma, hypertension, and depression. General, respiratory, cardiovascular, otolaryngological, gastrointestinal, and neurological symptoms were among the reported long COVID symptoms. To ensure that patients with long COVID are diagnosed and treated early, the risk factors and clinical symptoms of long COVID need to be identified for different population groups.

Exploring the Influence of VDR Genetic Variants TaqI, ApaI, and FokI on COVID-19 Severity and Long-COVID-19 Symptoms

There is increasing evidence regarding the importance of vitamin D in the prognosis of coronavirus disease 2019 (COVID-19). Genetic variants in the vitamin D receptor (VDR) gene affect the response to vitamin D and have been linked to various diseases. This study investigated the associations of the major VDR genetic variants ApaI, FokI, and TaqI with the severity and long post-infection symptoms of COVID-19. In total, 100 Jordanian patients with confirmed COVID-19 were genotyped for the VDR ApaI, FokI, and TaqI variants using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. COVID-19 severity, the most commonly reported long-COVID-19 symptoms that lasted for >4 weeks from the onset of infection, and other variables were analyzed according to VDR genetic variants. In this study, ApaI and FokI polymorphisms showed no significant associations with COVID-19 severity (p > 0.05). However, a significant association was detected between the TaqI polymorphism and the severity of symptoms after infection with the SARS-CoV-2 virus (p = 0.04). The wild-type TaqI genotype was typically present in patients with mild illness, whereas the heterozygous TaqI genotype was present in asymptomatic patients. With regard to long-COVID-19 symptoms, the VDR heterozygous ApaI and wild-type TaqI genotypes were significantly associated with persistent fatigue and muscle pain after COVID-19 (p ˂ 0.05). Most carriers of the heterozygous ApaI genotype and carriers of the wild-type TaqI genotype reported experiencing fatigue and muscle pain that lasted for more than 1 month after the onset of COVID-19. Furthermore, the TaqI genotype was associated with persistent shortness of breath after COVID-19 (p = 0.003). Shortness of breath was more common among individuals with homozygous TaqI genotype than among individuals with the wild-type or heterozygous TaqI genotype. VDR TaqI is a possible genetic variant related to both COVID-19 severity and long-COVID-19 symptoms among Jordanian individuals. The associations between VDR TaqI polymorphisms and long-COVID-19 symptoms should be investigated in larger and more diverse ethnic populations.

Evaluation of Patients with COVID-19 Followed Up in Intensive Care Units in the Second Year of the Pandemic: A Multicenter Point Prevalence Study

OBJECTIVE

A 1-day point prevalence study was planned to obtain country data by determining the clinical characteristics, follow-up and treatment methods of coronavirus disease 2019 (COVID-19) cases that required intensive care unit (ICU) treatment in the second year of the pandemic.

MATERIAL AND METHODS

All patients who were hospitalized in the ICUs due to COVID-19 between March 11, 2022, 08.00 am, and March 12, 2022, 08.00 am, were included in the study. Demographic characteristics, intensive care and laboratory data, radiological characteristics, and follow-up results of the patients were recorded.

RESULTS

A total of 811 patients from 59 centers were included in the study, 59% of the cases were male, and the mean age was 74 ± 14 years. At least one comorbid disease was present in 94% of the cases, and hypertension was the most common. When ICU weight scores were examined, Acute Physiology and Chronic Health Evaluation-II: 19 (15-27) and Sequential Organ Failure Assessment: 7 (4-10) were seen. Sepsis was present in 37% (n = 298) of cases. PaO2/FiO2 ratios of the patients were 190 the highest and 150 the lowest and 51% of the cases were followed via invasive mechanical ventilation. On the study day, 73% bilateral involvement was seen on chest x-ray, and ground-glass opacities (52%) were the most common on chest tomography. There was growth in culture in 40% (n = 318) of the cases, and the most common growth was in the tracheal aspirate (42%).

CONCLUSION

The clinical course of COVID-19 is variable, and ICU follow-up was required due to advanced age, comorbidity, presence of respiratory symptoms, and widespread radiological involvement. The need for respiratory support and the presence of secondary infection are important issues to be considered in the follow-up. Despite the end of the second year of the pandemic and vaccination, the high severity of the disease as well as the need for follow-up in ICUs has shown that COVID-19 is an important health problem.

Through the eyes of nurses: a content analysis of nurses' experiences in caring for COVID-19 patients

BACKGROUND

In the current global climate, the nursing staff has placed a significant emphasis on developing effective self-protection strategies and implementing measures to prevent the transmission of infectious diseases, with a particular focus on the highly communicable COVID-19 virus. Ensuring the safety and well-being of both healthcare providers and patients has made it imperative to incorporate this aspect into healthcare provision.

OBJECTIVE

The study aimed to describe the experiences of nurses in providing care for patients infected with COVID-19.

METHODOLOGY

This qualitative content analysis study, following COREQ guidelines, involved 18 nurses who were taking care of COVID-19 patients at Shahid Mohamadi Hospital, a general hospital in Bandar Abbas, Hormozgan Province. The hospital is affiliated with Hormozgan University of Medical Sciences and the research was conducted in 2022.The sampling method was purposive, and unstructured interviews were used. Data collection continued until data saturation was achieved. Data analysis was performed continuously and concurrently through the collection of data using conventional content analysis methods.

FINDINGS

The qualitative analysis of the data revealed three main themes centered on challenges related to nurses' self-care, patient care, and the healthcare delivery system.

CONCLUSION

Overall, to address the challenges faced by healthcare providers caring for COVID-19 patients, their needs must be prioritized. This includes establishing a prepared healthcare system, implementing strategies to protect their well-being, and learning from their experiences for future disease outbreaks and disasters.

Evaluation of SARS-CoV-2-Positive Patients with Suspected Reinfection

The aim of this study was to investigate the reinfection rates and characteristics of SARS-CoV-2 in individuals with SARS-CoV-2 RNA present in their clinical specimens for COVID-19. Our data from the COVID-19 Laboratory of Istanbul University were analyzed for 27,240 cases between 27 March 2020 to 8 February 2022. Demographic characteristics, vaccination statuses, comorbidities, and laboratory findings were evaluated in cases with suspected reinfection, as determined by the presence of SARS-CoV-2 RNA at a rate of 0.3% in clinical specimens. When comparing laboratory values, leukocyte counts were lower in the second and third infections compared with the first infection (p = 0.035), and neutrophil counts were lower in the second infection (p = 0.009). Symptoms varied, with coughing being common in the first infection and malaise being common in subsequent infections. These results suggest that it is important to continue to monitor reinfection rates and develop strategies to prevent reinfection. Our results also suggest that clinicians should be aware of the possibility of reinfection and monitor patients for recurrent symptoms.

Preparedness of Iranian nurses against COVID-19: An analytical study

Background and Aims

The reasons for the unfavorable performance of hospitals in providing care to Coronavirus Disease 2019 (COVID-19) patients include the lack of preparation, knowledge, and relevant skills, making it necessary to evaluate the preparedness of nurses to respond to COVID-19. Therefore, the present study aimed to investigate the preparedness of hospitals affiliated with Shahrekord University of Medical Sciences during the COVID-19 pandemic in 2022.

Methods

In this analytical study, data were collected from 350 randomly selected nurses who worked in three hospitals affiliated with Shahrekord University of Medical Sciences; demographic information tools and the preparation of nurses for COVID-19 patients were used to collect the data. We analyzed the data using SPSS software version 26.

Results

The mean and standard deviation of the total preparation score was 118.85 ± 0.98. The lowest (6.80 ± 0.18) and highest (23.35 ± 0.19) average values belonged to risk assessment and management and COVID-19, respectively. The score of nurses' preparedness to deal with COVID-19 was not statistically correlated with age, work experience, and so on. The average preparation score was significantly different in different treatment departments (operating room and COVID-19).

Conclusion

The preparation of nurses was low in dealing with COVID-19. Thus, managers of nursing services should design and implement educational programs to strengthen the nurses' weaknesses and ultimately increase their awareness and skills in dealing with disasters.

The Well-Being of Companion Animal Caregivers and Their Companion Animals during the COVID-19 Pandemic: Scoping Review

It is important to understand the effects of the COVID-19 pandemic on animal caregivers and their companion animals in order to inform responses to future crises. Prior research is inconsistent, with the benefits of animal companionship believed to be overstated. In this scoping review, we searched four electronic databases and hand-searched reference lists of included studies. Over 4000 citations were found, and 122 were included in the review. Reflecting on the pre-COVID literature, quantitative evidence of the association between psychological well-being and animal companionship during the pandemic was mixed, with numerous positive, negative, and null findings reported. Studies highlighted the benefits of animal companionship during the pandemic, with animals reported to provide their caregivers with a routine, a sense of greater purpose, a positive distraction from COVID-19, companionship, and emotional support. However, participants also reported concerns about meeting animals' needs, fears of animals catching or spreading the virus, and financial worries. Concerns about what would happen to animals if caregivers were hospitalized led some to delay COVID-19 testing or treatment. Animals also experienced benefits (such as increased companionship and calmer mood) and negative impacts (such as increased clinginess and separation anxiety). Companion animals should be a key consideration in emergency preparedness plans.

Seroprevalence of SARS-CoV-2 in Niger State: Pilot Cross-Sectional Study

Background

The COVID-19 pandemic caused by SARS-CoV-2 is causing ongoing human and socioeconomic losses.

Objective

To know how far the virus has spread in Niger State, Nigeria, a pilot study was carried out to determine the SARS-CoV-2 seroprevalence, patterns, dynamics, and risk factors in the state.

Methods

A cross-sectional study design and clustered, stratified random sampling strategy were used to select 185 test participants across the state. SARS-CoV-2 IgG and IgM rapid test kits (colloidal gold immunochromatography lateral flow system) were used to determine the presence or absence of antibodies to the virus in the blood of sampled participants across Niger State from June 26 to 30, 2020. The test kits were validated using the blood samples of some of the Nigeria Center for Disease Control-confirmed positive and negative COVID-19 cases in the state. SARS-CoV-2 IgG and IgM test results were entered into the Epi Info questionnaire administered simultaneously with each test. Epi Info was then used to calculate the arithmetic mean and percentage, odds ratio, χ2 statistic, and regression at a 95% CI of the data generated.

Results

The seroprevalence of SARS-CoV-2 in Niger State was found to be 25.4% (47/185) and 2.2% (4/185) for the positive IgG and IgM results, respectively. Seroprevalence among age groups, genders, and occupations varied widely. The COVID-19 asymptomatic rate in the state was found to be 46.8% (22/47). The risk analyses showed that the chances of infection are almost the same for both urban and rural dwellers in the state. However, health care workers, those who experienced flulike symptoms, and those who had contact with a person who traveled out of Nigeria in the last 6 months (February to June 2020) were at double the risk of being infected with the virus. More than half (101/185, 54.6%) of the participants in this study did not practice social distancing at any time since the pandemic started. Participants' knowledge, attitudes, and practices regarding COVID-19 are also discussed.

Conclusions

The observed Niger State SARS-CoV-2 seroprevalence and infection patterns meansuggest that the virus has widely spread, far more SARS-CoV-2 infections have occurred than the reported cases, and there is a high asymptomatic COVID-19 rate across the state.

Safety profile of inactivated COVID-19 in healthy adults aged ≥ 18 years: A passive surveillance in Indonesia

Coronavirus Disease 2019 (COVID-19) vaccination in Indonesia has shown effectiveness in reducing the morbidity and mortality of Covid-19. The study aims to evaluate the incidence rate and severity of Adverse Events Following Immunization (AEFI) of inactivated SARS-CoV-2 vaccine during the first quarter of 2021 until the second quarter of 2022 in Indonesia. More than two hundred million Sinovac/CoronaVac were given from January 13th, 2021, until June 30th, 2022. Data for this study were collected manually and electronically from the national vaccine safety website managed by the National Committee (NC) of AEFI Indonesia and the Ministry of Health Indonesia. The total number of injections observed in the study was 264,311,992 doses consisting of 142,449,795 (first dose), 121,613,324 (second dose), and 248,873 (booster dose). Of the injections given, 301 subjects with Serious AEFIs (SAE) and 10.261 subjects with non-serious AEFIs (AE) reported, with a majority of SAE and AEs found in the first dose. Most of the SAEs were classified as coincidental events by the NC AEFI (IR 0.8/1 million doses on first dose injection; 0.31 on second dose injection). ISRR (immunization stress-related response) is in the second rank of SAEs reported (0.59 IR/1 million doses on the first dose; 0.14 on the second dose). The incidence rate of SAEs and AEs, both in the variable of age, sex, and symptoms per 1 million dose injections in Indonesia, was very rare according to WHO guidelines. Most SAEs were classified as coincidences or unrelated to the vaccine. The result showed that the Sinovac/CoronaVac in Indonesia is safe.

The Effect of Virtual Education in Parenting Skills on the Parenting Sense of Competence in First-time Mothers with a 0-2-year-old Baby: A Quasi-experimental Study

Background

Parental competence is a key aspect of parenting. Since they have no previous experience of having a baby, first-time mothers should acquire certain skills to be competent enough in caring for their baby. The present study aimed to investigate the effect of virtual education in parenting skills on the parenting competence of first-time mothers with a 0-2-year-old baby.

Methods

This quasi-experimental study was conducted through convenience sampling; 72 first-time mothers were selected from 12 healthcare centers, 62 of whom met the criteria for entering the study, and divided into an experimental (n=31) and a control (n=31) group. The mothers in the experimental group received virtual education in parenting skills in six sessions, each lasting 10 minutes for two weeks. The data were collected using a demographics questionnaire and Gibaud-Wallston's parenting sense of competence scale. Sense of competence was assessed in three stages: before, immediately after, and one month after the completion of the intervention. The collected data were analyzed using SPSS v. 22 at a significance level of less than 0.05.

Results

Results showed a statistically significant increase in the experimental group's parenting competence mean score immediately and one month after the intervention (P<0.001). There was a statistically significant difference between the mean scores of the study groups as measured immediately after (P=0.043) and one month after the intervention (P<0.001).

Conclusion

Virtual education of parenting skills could have a positive impact on the mothers' parenting competence. It is suggested that first-time mothers should be educated in parenting skills on a face-to-face basis in maternity wards and online after discharge.

Inhibition of SARS-CoV-2 Infection in Vero Cells by Bovine Lactoferrin under Different Iron-Saturation States

Despite the rapid mass vaccination against COVID-19, the emergence of new SARS-CoV-2 variants of concern, such as omicron, is still a great distress, and new therapeutic options are needed. Bovine lactoferrin (bLf), a multifunctional iron-binding glycoprotein available in unsaturated (apo-bLf) and saturated (holo-bLf) forms, has been shown to exert broad-spectrum antiviral activity against many viruses. In this study, we evaluated the efficacy of both forms of bLf at 1 mg/mL against infection of Vero cells by SARS-CoV-2. As assessed with antiviral assays, an equivalent significant reduction in virus infection by about 70% was observed when either form of bLf was present throughout the infection procedure with the SARS-CoV-2 ancestral or omicron strain. This inhibitory effect seemed to be concentrated during the early steps of virus infection, since a significant reduction in its efficiency by about 60% was observed when apo- or holo-bLf were incubated with the cells before or during virus addition, with no significant difference between the antiviral effects of the distinct iron-saturation states of the protein. However, an ultrastructural analysis of bLf treatment during the early steps of virus infection revealed that holo-bLf was somewhat more effective than apo-bLf in inhibiting virus entry. Together, these data suggest that bLf mainly acts in the early events of SARS-CoV-2 infection and is effective against the ancestral virus as well as its omicron variant. Considering that there are no effective treatments to COVID-19 with tolerable toxicity yet, bLf shows up as a promising candidate.

An In Silico Design of Peptides Targeting the S1/S2 Cleavage Site of the SARS-CoV-2 Spike Protein

SARS-CoV-2, responsible for the COVID-19 pandemic, invades host cells via its spike protein, which includes critical binding regions, such as the receptor-binding domain (RBD), the S1/S2 cleavage site, the S2 cleavage site, and heptad-repeat (HR) sections. Peptides targeting the RBD and HR1 inhibit binding to host ACE2 receptors and the formation of the fusion core. Other peptides target proteases, such as TMPRSS2 and cathepsin L, to prevent the cleavage of the S protein. However, research has largely ignored peptides targeting the S1/S2 cleavage site. In this study, bioinformatics was used to investigate the binding of the S1/S2 cleavage site to host proteases, including furin, trypsin, TMPRSS2, matriptase, cathepsin B, and cathepsin L. Peptides targeting the S1/S2 site were designed by identifying binding residues. Peptides were docked to the S1/S2 site using HADDOCK (High-Ambiguity-Driven protein-protein DOCKing). Nine peptides with the lowest HADDOCK scores and strong binding affinities were selected, which was followed by molecular dynamics simulations (MDSs) for further investigation. Among these peptides, BR582 and BR599 stand out. They exhibited relatively high interaction energies with the S protein at -1004.769 ± 21.2 kJ/mol and -1040.334 ± 24.1 kJ/mol, respectively. It is noteworthy that the binding of these peptides to the S protein remained stable during the MDSs. In conclusion, this research highlights the potential of peptides targeting the S1/S2 cleavage site as a means to prevent SARS-CoV-2 from entering cells, and contributes to the development of therapeutic interventions against COVID-19.

Molnupiravir: an antiviral drug against COVID-19

SARS-CoV-2, the virus responsible for COVID-19, has caused numerous deaths worldwide and poses significant challenges. Researchers have recently studied a new antiviral drug called molnupiravir for treating COVID-19. This review examines the causes and immunopathogenesis of COVID-19, as well as the role of molnupiravir in its treatment. Molnupiravir is a prodrug of β-D-N4-hydroxyctytidine (NHC) and has demonstrated activity against various viruses, including MERS-CoV, SARS-CoV, SARS-CoV-2, and influenza virus. The active form of molnupiravir, NHC triphosphate, acts as a nucleoside analog that disrupts viral replication by causing mutations in the viral RNA, thereby inhibiting viral growth. This review summarizes the results of multiple clinical trials that have evaluated the effectiveness of molnupiravir against SARS-CoV-2 and its variants. Animal studies have also shown that molnupiravir significantly reduces the viral load and prevents transmission to other animals. Overall, molnupiravir has demonstrated strong efficacy and reasonable safety, reducing hospitalization rates by nearly 50% among COVID-19-positive individuals at risk of complications. Patients in clinical settings have tolerated molnupiravir well and experienced positive outcomes, such as clearance of viral RNA, decreased viral load, and reduced hospitalization rates. Additionally, compared to a placebo, molnupiravir has been associated with lower mortality rates. Therefore, molnupiravir can be a beneficial drug to treat patients suffering from SARS-CoV-2, and further studies can provide more information about its safety and efficacy.

Alkyne as a Latent Warhead to Covalently Target SARS-CoV-2 Main Protease

There is an urgent need for improved therapy to better control the ongoing COVID-19 pandemic. The main protease Mpro plays a pivotal role in SARS-CoV-2 replications, thereby representing an attractive target for antiviral development. We seek to identify novel electrophilic warheads for efficient, covalent inhibition of Mpro. By comparing the efficacy of a panel of warheads installed on a common scaffold against Mpro, we discovered that the terminal alkyne could covalently modify Mpro as a latent warhead. Our biochemical and X-ray structural analyses revealed the irreversible formation of the vinyl-sulfide linkage between the alkyne and the catalytic cysteine of Mpro. Clickable probes based on the alkyne inhibitors were developed to measure target engagement, drug residence time, and off-target effects. The best alkyne-containing inhibitors potently inhibited SARS-CoV-2 infection in cell infection models. Our findings highlight great potentials of alkyne as a latent warhead to target cystine proteases in viruses and beyond.

In silico and in vitro inhibition of host-based viral entry targets and cytokine storm in COVID-19 by ginsenoside compound K

SARS-CoV-2 is a novel coronavirus that emerged as an epidemic, causing a respiratory disease with multiple severe symptoms and deadly consequences. ACE-2 and TMPRSS2 play crucial and synergistic roles in the membrane fusion and viral entry of SARS-CoV-2 (COVID-19). The spike (S) protein of SARS-CoV-2 binds to the ACE-2 receptor for viral entry, while TMPRSS2 proteolytically cleaves the S protein into S1 and S2 subunits, promoting membrane fusion. Therefore, ACE-2 and TMPRSS2 are potential drug targets for treating COVID-19, and their inhibition is a promising strategy for treatment and prevention. This study proposes that ginsenoside compound K (G-CK), a triterpenoid saponin abundant in Panax Ginseng, a dietary and medicinal herb highly consumed in Korea and China, effectively binds to and inhibits ACE-2 and TMPRSS2 expression. We initially conducted an in-silico evaluation where G-CK showed a high affinity for the binding sites of the two target proteins of SARS-CoV-2. Additionally, we evaluated the stability of G-CK using molecular dynamics (MD) simulations for 100 ns, followed by MM-PBSA calculations. The MD simulations and free energy calculations revealed that G-CK has stable and favorable energies, leading to strong binding with the targets. Furthermore, G-CK suppressed ACE2 and TMPRSS2 mRNA expression in A549, Caco-2, and MCF7 cells at a concentration of 12.5 μg/mL and in LPS-induced RAW 264.7 cells at a concentration of 6.5 μg/mL, without significant cytotoxicity.ACE2 and TMPRSS2 expression were significantly lower in A549 and RAW 264.7 cells following G-CK treatment. These findings suggest that G-CK may evolve as a promising therapeutic against COVID-19.

The COVID-19 pandemic has impeded cytopathology practices and hindered cancer screening and management

The COVID-19 pandemic has had a global impact on the environment and economy and has affected hospital administration and patient behaviour. Since human-to-human coronavirus transmission occurs via droplets and physical contact, health care professionals are particularly vulnerable to contracting COVID-19. Many cytopathology laboratories updated their workflow, established new standard biosafety protocols, and built digital pathology or telescope platforms to mitigate these risks and deal with the shortage of health care personnel. The COVID-19 pandemic also disrupted medical education-all indoor training events, including conferences, multidisciplinary tumour boards, seminars, and microscope inspections were postponed. As a result, many laboratories now use new web-based applications and platforms to maintain educational programs and multidisciplinary tumour boards. To comply with government directives, health care facilities postponed non-emergency surgeries, reduced the number of routine medical examinations, restricted visitor numbers, and scaled back cancer screening activities, resulting in a sharp decline in cytopathology diagnoses, cancer screening specimens, and molecular testing for cancer. Subsequent misses or delays in the diagnosis and treatment of cancer were not uncommon. This review aims to provide comprehensive summaries of the consequences of the COVID-19 pandemic for cytopathology, particularly in terms of cancer diagnosis, workload, human resources, and molecular testing.