关键词： COVID-19 pandemic   Neck pain   e-learning   Computer users   Higher secondary students   SLEEP  

摘要： Introduction: Neck pain is a typical complaint among people who spend a lot of time on their devices. Due to the pandemic situation, students have recently shifted their studies from the classroom to e -learning, causing them to spend excessive hours on gadgets. Thus, it is of utmost importance to study the prevalence of neck pain in students using gadgets for e -learning. The purpose of this research was to study the prevalence of neck pain in higher secondary students using electronic gadgets for e -learning during the COVID-19 (coronavirus disease 2019) pandemic period. Method: A survey -based study was carried out on 1007 students from 8th to 12th grade. Data was collected via Google Form and analyzed using SPSS software. Mann Whitney -U test and the Kruskal Wallis test were used for a comparative analysis. Results: In this study, a total of 1007 students participated, out of whom 615 reported experiencing neck pain. Of those experiencing neck pain, 268 were males and 347 were females, with mean pain intensities of 4.64 and 4.77 respectively. Conclusion: The findings of the present study suggest that the prevalence of neck pain is higher in students using gadgets for e -learning.

关键词： Korean SPAC   Special purpose acquisition company   COVID-19   Merger   RETURNS   FIRMS   ACQUISITIONS  

摘要： We examine how the COVID-19 pandemic affected the mergers of special purpose acquisition companies (SPACs) in Korea, where SPACs-since their introduction in 2010-have played a significant role in private company public listings. After the COVID-19 outbreak, SPACs were less likely to merge, but for those which chose to do so, merger announcement returns were on average higher, particularly for those that waited to merge until after the stock market recovered its pre-pandemic value. We also find evidence that SPAC holding period returns from the SPAC's initial public offering to merger consummation (or liquidation, in the case of SPACs that failed to complete a merger) were on average higher after the outbreak. Overall, our results suggest that, despite their limited lifespan and agency issues, SPACs may operate more efficiently and perform better during periods of economic downturn.

关键词： Multicomponent positive psychology intervention   Randomized controlled trial   Mental well-being   Mobile health   Ability to adapt   Aftermath of Covid-19   DEPRESSIVE SYMPTOMS   HEALTH   ANXIETY   GRATITUDE   IMPACT   FORMS  

摘要： This randomized controlled trial evaluated the effectiveness of a 3-week multicomponent positive psychology self-help application on ability to adapt and mental well-being in the following the Covid-19 pandemic in adults with mild to moderate anxiety and depression levels. Outcomes were assessed online at baseline, posttest (three weeks after baseline), and follow-up (12 weeks after baseline). The intervention group (n = 118) received the application after baseline, whereas the control group (n = 116) received the app after completing posttest. Linear mixed models showed significant effects on ability to adapt, mental well-being, anxiety, depression, spiritual well-being, and self-compassion at post-test compared to the control condition (d = 0.56-0.96). Effects in the intervention group were maintained at follow-up. Results suggest that a multicomponent positive psychology self-help application can support adults with distress to recover after a psychologically disruptive pandemic.

关键词： concerns   COVID-19   nursing researchers   text mining  

摘要： The coronavirus disease (COVID-19) pandemic has negatively affected research activities across various fields. This study aimed to determine nursing researchers' concerns about research activities during the COVID-19 pandemic in Japan and subsequent changes brought on by it. For this study, we conducted descriptive statistics and text mining analyses using data from two surveys conducted by the Japan Academy of Nursing Science (JANS) in the early days of the pandemic (first survey: mid-2020) and after 2 years (second survey: early 2022). Concerns about research activities were observed in 89% and 80% of the nursing researchers in the first and second surveys, respectively. Furthermore, concerns about "Difficulty in collecting research data" and "Content and quality of your research" were stronger in the second survey. Text mining analyses revealed that in the first survey, they were concerned about environmental changes and restrictions when proceeding with research during the COVID-19 pandemic, which was unfamiliar at the time. In the second survey, after overcoming environmental changes in the early stages of the pandemic, nursing researchers' concerns shifted to anxiety about the future, such as concerns about degree acquisition, employment and career advancement, and research results. The current study highlights various concerns among nursing researchers regarding research activities that have evolved over time during the pandemic. Academic societies must flexibly construct support measures for nursing researchers when a new infectious disease occurs. Such measures should be sensitive to the prevailing social circumstances and the evolving needs of researchers.

关键词： COVID-19   BNT162b2   CoronaVac   Omicron   Antibody  

摘要： The study aimed to evaluate the effect of booster dose COVID-19 vaccines on prevention and humoral immune response in individuals with different vaccination schemes during the period BA.4 and BA.5 omicron sub-variants were globally dominant. The study included 146 individuals who preferred different vaccination schemes for booster doses. Anti-spike/RBD-IgG and neutralizing antibody levels were measured 28 days after the booster dose vaccination upon their consent. There is no significant difference between median antibody titers detected according to different vaccination schemes. SARS-CoV-2 neutralizing antibody inhibition percentages were detected significantly higher in serum samples before and after the last booster dose in 2 BNT162b2+1 +1 BNT162b2(99.42 %), 2 BNT162b2 + 2 BNT162b2(99.42 %), and 2 BNT162b2 + 3 BNT162b2(99.42 %) vaccination schemes (p p = 0.004, p = 0.044, p = 0.002,respectively). The study indicated that a booster vaccination dose provides a high level of protection against severe COVID-19 and death. We think that the variant- specific pancoronavirus vaccines will be necessary to protect against breakthrough infections.

关键词： COVID-19 pandemic   Density and city connectivity   Socio-economics   Social restriction   Infection and mortality   HUMAN MOBILITY RESTRICTIONS   INFECTIOUS-DISEASES   URBANIZATION   CITIES   SPREAD   HEALTH   CHINA   TIME  

摘要： The COVID-19 pandemic is generally devastating in densely populated cities, and disparate observations of city characteristics on COVID-19 have been reported. In order to unraveling the nexuses of city characteristics and infectious transmissions, this study examined the effects of non-pharmaceutical factors on COVID-19 transmission rates in 180 cities worldwide, during the "first wave" of pandemic when no vaccines were widely available. City density and connectivity significantly increased COVID-19 case and mortality rates. However, their determining roles and influence pathways were continent-dependent and contingent upon social restrictions, and can be significantly mitigated under circumstances of only prompt and rigorous restrictions.. In addition, a metric-dependent effects were observed when validating with population density metrics calculated from different definitions. While socio-economically developed cities likely have high capacity of testing and contact tracing, and global connectedness, it also reflected more resources and infrastructures for social distancing and healthcare. These findings suggest that while city density and connectivity exacerbate infectious spread, forward-looking city planning and effective governance is a promising alternative towards to pandemic mitigation and a sustainable city in an urbanization era.

关键词： Prevalence   Population health   Surveillance   Health risk behaviors   MENTAL-HEALTH  

摘要： Objective: To explore population-level trends in health behaviours and wellbeing indicators from before (2017-2019) to during (2020-2022) the COVID-19 pandemic in Australia. Methods: Using cross-sectional data from New South Wales Adult Population Health Surveys (2017-2022, n = 73,680 responses), we calculated weighted prevalence estimates and interrupted time-series logit models to investigate trends in health behavioural risk factors (vegetable and fruit intake, physical activity, alcohol consumption, smoking, e-cigarette use), Body Mass Index (BMI) (overweight and obesity), and wellbeing indicators (psychological distress, self-rated health) among adults aged >= 16 years before and during the pandemic. Results: From 2017 to 2022, the behavioural risk factors and BMI trends were mostly unchanged. Similarly, wellbeing indicator trends showed only minor variations according to age. The interrupted time-series models found marked changes from before to during the COVID-19 pandemic for e-cigarette use and self-rated health. Ecigarette use showed an overall increasing trend, with significant increases from 2017 to 2022 (OR 8.25, 95 %CI 6.10-11.16). Poor self-rated health showed a stable trend before COVID-19, but decreased in 2020 (OR 0.68, 95 %CI 0.58-0.80) and 2021 (OR 0.70, 95 %CI 0.60-0.81), returning to pre-COVID levels in 2022 (OR 1.23, 95 %CI 1.07-1.41). During the pandemic (2020-2022), there were few statistically significant observed changes in prevalence trends according to SES indicators. Conclusion: Among Australian adults, relatively small population-level impacts of the COVID-19 pandemic on health behaviours and wellbeing trends were observed. Continued surveillance and sub-group analyses are essential for investigating potential time-lagged effects and regional or sociodemographic differences in health behaviours and wellbeing.

关键词： Uveitis   COVID-19   SARS-CoV-2   Vaccine   Pediatric   Children  

摘要： Objective. - To determine the incidence and outcomes of uveitis following coronavirus (COVID19) vaccination in the pediatric population. Methods. - A case series of all patients under the age of 18 years diagnosed with uveitis within 28 days of COVID-19 vaccination. Results. - Out of 33 patients under the age of 18 years who presented with uveitis from July 2021 until May 2022, eight (24.2%) developed uveitis following COVID-19 vaccination within 28 days. Four had a previous history of uveitis. The mean time interval from COVID-19 vaccination to uveitis diagnosis was 14.75 days. The most common anatomic diagnosis was anterior uveitis in four children, followed by panuveitis in two and posterior uveitis in two. Seven children were treated with systemic steroids/immunomodulatory agents. Improved or unaffected visual acuity was noted in all children at the final follow-up. Conclusion. - The pediatric population may demonstrate uveitis following COVID-19 vaccination. All children were treated successfully, and good final visual acuity was achieved. (c) 2024 Elsevier Masson SAS. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

关键词： institutional care   COVID-19   policy   qualitative methods   mental health   HEALTH-CARE  

摘要： Growing evidence highlights the negative impact of managing the COVID-19 pandemic on the wellbeing of the healthcare workforce, including in the aged care sector. We undertook a qualitative study during the pandemic's third year to explore the psychosocial impacts on nine managers of residential care facilities (RCFs) across metropolitan and rural New South Wales, the largest state in Australia. Four themes were identified: (1) Increased pressure on maintaining aged care services, (2) Increased responsibility on RCF managers, (3) Psychosocial impacts due to accumulating pressures, and (4) Experience of beneficial supports. COVID-19 compounded pre-pandemic sector challenges and added new stressors. While resilient and resourceful, RCF managers experienced workplace stress and burnout, which may affect quality of resident care and impact on staff retention. There is a need for more investment to effectively support staff, and research to identify optimal psychosocial and management supports.

关键词： COVID-19  

摘要： COVID-19 is a rapidly spreading global pandemic that causes lung problems and a lack of oxygen in the blood, which leads to death. The emergence of this disease caused a shortage of hospital resources due to a failure to prioritize patients correctly according to their severity, which led to a waste of resources. Currently, X-ray images play a vital role in early detection and monitoring the different states of COVID-19 patients. Every patient may have many X-ray images at different times to follow up on his health and needs, so detecting the most suitable stage of patient images for predicting his severity and needs is urgent to save his life and hospital resources. This paper proposes a prediction model to early predict three levels of severity risks for the COVID-19 patient based on X-ray images: high, moderate, and low. Pre-processing, extracting, and selecting the features based on X-ray images are critical and effective phases. Thus, in the proposed model, a combination of methods are used for the pre-processing phase, different handcrafted and deep learning techniques are introduced for the feature extraction step, and a merged meta-heuristic optimization algorithm called Hunger Game Search (HGS) with support vector machine (SVM) is proposed to automatically determine the most relevant features for the prediction model. The experimental results demonstrated that using the processed images is better than using the original images, where the pre-trained deep learning model Visual Geometry Group (VGG-19) has achieved the best results in the feature extraction phase compared with other pre-trained deep models and handcrafted methods, and the HGS optimization algorithm has accomplished the perfect results for selecting the features against other six popular meta-heuristic algorithms. The model achieved 99.9% and 94.8% for the best and average accuracy, respectively, at an early stage with the least number of selected features compared with the competitor meta-heur