COVID最新文献

{"title":"The Relationship between Coping Strategies and State Anxiety during COVID-19 Lockdown: The Role of Perceived Emotional Intelligence","authors":"Alessandro Geraci, Laura Di Domenico, Antonella D'Amico","doi":"10.3390/covid4050040","DOIUrl":"https://doi.org/10.3390/covid4050040","url":null,"abstract":"Background: The outbreak of the COVID-19 pandemic has caused an unprecedented and unexpected change all around the globe. The long-term effects are still ongoing, especially those related to the confinement measures. The study took place during the first COVID-19 lockdown in Italy, where everyone was forced to stay home in order to reduce the spread of the virus. The aim was to investigate the role of perceived emotional intelligence abilities (PEI) in coping with COVID-19-related anxiety. Methods: A cross-sectional study design was employed, and this study used an online survey launched through social networks, inviting adults to participate. The participants anonymously completed a three-scale online measurement of self-reported emotional abilities, coping strategies (approach and avoidance), and state anxiety towards COVID-19. Results: perceived emotional intelligence and approach coping significantly predicted state anxiety. In addition, perceived emotional intelligence mediated the relationship between approach coping and state anxiety. Conclusions: the study highlights the positive role of perceived emotional abilities in dealing with the unprecedented event represented by the COVID-19 pandemic, and in particular, in coping with anxiety related to lockdown and confinement. Their results highlight the importance of fostering emotional intelligence for navigating critical life events.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"118 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140986319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mutation Trajectory of Omicron SARS-CoV-2 Virus, Measured by Principal Component Analysis","authors":"T. Konishi, Toa Takahashi","doi":"10.3390/covid4040038","DOIUrl":"https://doi.org/10.3390/covid4040038","url":null,"abstract":"Since 2019, the SARS-CoV-2 virus has caused a global pandemic, resulting in widespread infections and ongoing mutations. Analyzing these mutations is essential for predicting future impacts. Unlike influenza mutations, SARS-CoV-2 mutations displayed distinct selective patterns that were concentrated in the spike protein and small ORFs. In contrast to the gradual accumulation seen in influenza mutations, SARS-CoV-2 mutations lead to the abrupt emergence of new variants and subsequent outbreaks. This phenomenon may be attributed to their targeted cellular substances; unlike the influenza virus, which has mutated to evade acquired immunity, SARS-CoV-2 appeared to mutate to target individuals who have not been previously infected. The Omicron variant, which emerged in late 2021, demonstrates significant mutations that set it apart from previous variants. The rapid mutation rate of SARS-CoV-2 has now reached a level comparable to 30 years of influenza variation. The most recent variant, JN.1, exhibits a discernible trajectory of change distinct from previous Omicron variants.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"9 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140674027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19 Vaccine Acceptance and Hesitancy among Teachers and Students: A Scoping Review of Prevalence and Risk Factors","authors":"J. Sarfo, Mustapha Amoadu, E. Ansah, John Elvis Hagan Jnr.","doi":"10.3390/covid4040037","DOIUrl":"https://doi.org/10.3390/covid4040037","url":null,"abstract":"Students’ and teachers’ acceptance of the COVID-19 vaccination may help boost the uptake of the vaccines in the general population because teachers and students serve as a source of information and campaign mechanisation for vaccination. This review aimed to map evidence on the prevalence and predictors of COVID-19 vaccine acceptance and hesitancy among teachers and students. After removing duplicates, a search in several databases (Dimensions, PubMed Central, JSTOR, Google Scholar, Google, the WHO Library, and HINARI) produced 2060 records. Through screening based on the inclusion criteria, 27 records were used for this review. A relatively high prevalence of vaccine hesitancy was found among teachers and students. Teachers and students in countries such as China, Egypt, the USA, and India however, reported relatively low levels of COVID-19 vaccine acceptance. Vaccine hesitancy depends on perceived adverse effects, safety, efficacy, and benefits among teachers and students, with male teachers and male students being more likely to accept the COVID-19 vaccine than their female counterparts. Moreover, we found that vaccine acceptance could result from trust in the healthcare system and pharmaceutical companies, sources of COVID-19 information, and trust in healthcare providers. Public health experts, academics, other scientists, and health practitioners are required to take a more distinctive, multidisciplinary, and structured approach that focused on communicating effective evidence-based information to combat misinformation concerning COVID-19 vaccines.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Psychosocial Health of Black/African Americans Compared with People of Other Races/Ethnic Origins during the COVID-19 Pandemic","authors":"D. Price, T. Bonsaksen, Janni Leung, Mary R. Ruffolo, G. Lamph, Karis Hawkins, Amy Østertun Geirdal","doi":"10.3390/covid4040034","DOIUrl":"https://doi.org/10.3390/covid4040034","url":null,"abstract":"This study compared the psychosocial health between Black/African Americans and other ethnic groups during the COVID-19 pandemic. Using self-report questionnaires, data were collected at three time points from April 2020 to January 2022, controlling for education and employment status. Surprisingly, Black/African American participants consistently reported lower psychological distress compared to their counterparts. However, they initially reported lower quality of life, which improved over time, eventually surpassing that of the other groups by January 2022. These findings suggest resilience among Black/African Americans despite historical marginalization. Socioeconomic factors and historical context may have influenced these disparities, highlighting the need for targeted interventions to support marginalized communities during crises.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140691712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Sequential Explanatory Study Examining the Buffering Effects of Human–Animal Interaction on Stress and Quality of Life among Work-from-Home Employees during the COVID-19 Pandemic in the Philippines","authors":"K. Quing, Jomar Saif P. Baudin, R. R. Maaliw","doi":"10.3390/covid4040036","DOIUrl":"https://doi.org/10.3390/covid4040036","url":null,"abstract":"The sudden lockdown and social isolation caused by the COVID-19 pandemic substantially affected the physical and psychological aspects of our lives. This study used a sequential explanatory research design to explore how human–animal interactions (HAI) can reduce stress and improve quality of life (QOL) for employees working from home during the period. A total of 770 respondents took part in the quantitative portion of this study, comprised of 385 pet owners and 385 non-pet owners, with ten individuals randomly selected for the qualitative phase. The pet owners group was predominantly female, with 28.57% of the total sample with a mean age of 33.67 and a standard deviation (SD) of 9.46. In contrast, the majority of non-pet owners were male, making up 32.46% of the group with an average age of 29.57 and SD of 6.42. The HAI scale, work stress questionnaire, and the WHOQOL-BREF tests were utilized to evaluate the variables of this research. The results indicated significant differences in stress levels between the two independent groups. However, there were no significant differences in the overall QOL within the groups, except in the social domain. More importantly, our research showed that HAI had a buffering effect on stress and QOL among pet owners. Our research has important implications for understanding the importance of owning pets in enhancing personal welfare. These results are helpful for public health policies and endeavors to aid individuals and communities during periods of crises such as a pandemic.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" 70","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Belief in Conspiracy Theories about COVID-19 Vaccines among Brazilians: A National Cross-Sectional Study","authors":"Emerson Lucas Silva Camargo, C. Ribeiro, Guilherme Reis de Santana Santos, Valdemar Silva Almeida, H. E. F. Carvalho, Guilherme Schneider, Letícia Genova Vieira, André Luiz Silva Alvim, Fabiana Guerra Pimenta, Liliane Moretti Carneiro, Odinéa Maria Amorim Batista, Anderson Reis de Sousa, Álvaro Francisco Lopes de Sousa, Carla Aparecida Arena Ventura","doi":"10.3390/covid4040035","DOIUrl":"https://doi.org/10.3390/covid4040035","url":null,"abstract":"Background: Vaccine hesitancy is a complex challenge that demands a comprehensive approach, one that not only acknowledges legitimate concerns within communities but also actively confronts misinformation. In this context, this study aimed to investigate the prevalence of belief in conspiracy theories about COVID-19 vaccines among Brazilians, seeking to understand the factors associated with this behavior. Method: Utilizing a national online survey conducted between May and August 2020, with a sample of 4247 participants, we conducted multivariate analysis to identify the independent determinants of this adherence, calculating adjusted prevalence ratios (APRs) and their 95% confidence intervals. Results: It was revealed that 27.7% of participants believed in at least one conspiracy theory. Factors associated with a higher level of adherence included agreement with at least one piece of COVID-19 misinformation on social media (APR: 3.65; 95% CI: 3.07–4.34), lack of difficulty accessing leisure activities during the pandemic (APR: 3.11; 95% CI: 1.85–5.24), age 50 years or older (APR: 1.70; 95% CI: 1.49–1.94), absence of difficulty accessing protective measures (APR: 1.47; 95% CI: 1.26–1.72), use of face masks (APR: 1.62; 95% CI: 1.33–1.97), non-use of at least one traditional media source for information (APR: 1.47; 95% CI: 1.26–1.72), female gender (APR: 1.41; 95% CI: 1.25–1.60), and age between 30 and 49 years (APR: 1.35; 95% CI: 1.19–1.52). Conclusions: Our findings highlight that it is crucial to recognize that vaccine hesitancy is not merely an isolated phenomenon but often rooted in a complex interplay of social, cultural, psychological, and political factors. There is a need for multifaceted strategies to combat vaccine hesitancy, effectively address conspiracy theories, and consider the various factors associated with their prevalence.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying the Predictors of Pediatric Vaccine Uptake during the COVID-19 Pandemic","authors":"Colleen Phan, Brandon Mercado, J. Travis, Ginny Webb","doi":"10.3390/covid4040033","DOIUrl":"https://doi.org/10.3390/covid4040033","url":null,"abstract":"Identifying determinants of vaccination uptake is critical for public and community health. The population became divided in regard to preventative measures and vaccinations during the COVID-19 pandemic. In addition, there are varying opinions on decisions to vaccinate children against childhood diseases and COVID-19. Recent findings suggest that the COVID-19 pandemic has exacerbated existing vaccine hesitancy. Here, we assess vaccine hesitancy in parents by identifying predictors of vaccine acceptance by parents during the COVID-19 pandemic using a survey given to parents in South Carolina. Knowledge about COVID-19 and vaccinations affects vaccination intentions. Age, education, gender, and politics were also found to predict parents’ decisions about vaccinating their kids. Understanding potential barriers to vaccine acceptance will aid healthcare providers and public health entities to better reach the community.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"55 S268","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140694716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New-Onset Diabetes Mellitus after COVID-19: Combined Effects of SARS-CoV-2 Variants, Molecular Mimicry, and m6A RNA Methylation","authors":"Jorge Luis Batista-Roche, Marian Mirabent-Casals, Dahis Manzanares, Gertrud Lund, A. García‐Gasca","doi":"10.3390/covid4040032","DOIUrl":"https://doi.org/10.3390/covid4040032","url":null,"abstract":"Post-COVID syndrome, also known as long COVID, includes a range of symptoms that persist for months or even years after initial infection such as fatigue, shortness of breath, joint pain, chest pain, muscle aches, and heart palpitations, among others. In addition, long COVID is related with new-onset diseases such as diabetes mellitus. The association between SARS-CoV-2 infections and the development of diabetes mellitus is complex and not fully understood. Therefore, the objective of this article was to summarize the state of the art in possible mechanisms involved in the development of diabetes mellitus in the post-COVID-19 era, particularly the impact of SARS-CoV-2 variants on molecular mimicry, the role of viral m6A RNA methylation, and the potential associations between these factors. A better understanding of the combinatorial effects of these mechanisms is paramount for both clinicians and researchers alike because it could help tailor more effective treatment strategies, enhance patient care, and guide future research efforts.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140706202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Review of Environmental Factors for an Ontology-Based Risk Analysis for Pandemic Spread","authors":"Liege Cheung, Adela S. M. Lau, K. F. Lam, P. Y. Ng","doi":"10.3390/covid4040031","DOIUrl":"https://doi.org/10.3390/covid4040031","url":null,"abstract":"Contact tracing is a method used to control the spread of a pandemic. The objectives of this research are to conduct an empirical review and content analysis to identify the environmental factors causing the spread of the pandemic and to propose an ontology-based big data architecture to collect these factors for prediction. No research studies these factors as a whole in pandemic prediction. The research method used was an empirical study and content analysis. The keywords contact tracking, pandemic spread, fear, hygiene measures, government policy, prevention programs, pandemic programs, information disclosure, pandemic economics, and COVID-19 were used to archive studies on the pandemic spread from 2019 to 2022 in the EBSCOHost databases (e.g., Medline, ERIC, Library Information Science & Technology, etc.). The results showed that only 84 of the 588 archived studies were relevant. The risk perception of the pandemic (n = 14), hygiene behavior (n = 7), culture (n = 12), and attitudes of government policies on pandemic prevention (n = 25), education programs (n = 2), business restrictions (n = 2), technology infrastructure, and multimedia usage (n = 24) were the major environmental factors influencing public behavior of pandemic prevention. An ontology-based big data architecture is proposed to collect these factors for building the spread prediction model. The new method overcomes the limitation of traditional pandemic prediction model such as Susceptible-Exposed-Infected-Recovered (SEIR) that only uses time series to predict epidemic trend. The big data architecture allows multi-dimension data and modern AI methods to be used to train the contagion scenarios for spread prediction. It helps policymakers to plan pandemic prevention programs.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"26 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140713440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Kidney and Liver Predictors of Adults Hospitalized with COVID-19 Infection","authors":"Mariana Boulos, Moeen Sbeit, Maamoun Basheer, Guy Ben Arie, Yuval Mirkin, Nimer Assy","doi":"10.3390/covid4040030","DOIUrl":"https://doi.org/10.3390/covid4040030","url":null,"abstract":"SARS-CoV-2 damages not only the lungs, but also the liver and kidney. Most critically ill COVID-19 patients have liver and kidney dysfunctions. The early identification of patients with COVID-19 who will develop severe or critical disease symptoms is important for delivering proper and early treatment. This research studies the correlation of liver and kidney function indexes and COVID-19 outcomes. Electronic medical record data from 391 patients diagnosed with COVID-19 in the COVID-19 Department, Galilee Medical Center, Nahariya, Israel were collected. Epidemiological, clinical, laboratory, and imaging variables were analyzed. The liver and kidney enzyme indexes were measured upon admission and discharge. A correlation between laboratory levels and severity and mortality of COVID-19 patients was undertaken. This study included 391 COVID-19 patients, 258 mild patients and 133 severe patients. Multivariate stepwise regression analyses and discriminant analyses were used to identify and validate powerful predictors. The main outcome was death or invasive ventilation. Three factors, namely higher urea nitrogen (BUN) and IL-6, and lower albumin levels, were the most powerful predictors of mortality, and classified the results (survival vs. death) correctly in 85% of cases (diagnostic accuracy) with a sensitivity of 88% and a specificity 55%. Compared with mild patients, severe patients had lower albumin (ALB), higher alanine aminotransferase (ALT), aspartate aminotransferase (AST) and BUN (all p < 0.001). COVID-19 patients, especially severe patients, have damage to liver and kidney function. BUN, IL-6 and albumin are factors predicting mortality while fibrinogen and AST could be independent factors for predicting the severity of COVID-19.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"55 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140733688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}