关键词： COVID-19   SARS-CoV-2   neurological manifestations   CPK   seizure   nausea   headaches   vomiting  

摘要： Due to the abundance of ACE2 receptors in nervous system cells, the SARS-CoV-2 virus can cause damage to this system. This study aims to examine the prevalence of neurological symptoms in COVID-19 patients. In this cross-sectional observational study, 75 COVID-19 positive patients admitted to Golestan Hospital's neurology department in Ahvaz, Iran, from March 2020 to March 2023, were investigated. Neurological clinical symptoms were categorized into three groups: central nervous system, peripheral, and muscular symptoms. The relevant information was collected from patient files, including medical history, imaging data, and laboratory test results. Statistical analysis was performed using SPSS software, employing the rank-biserial correlation coefficient (r), Mann-Whitney U tests, Phi correlation, Cramer's V, and Kendall's Tau to evaluate the prevalence and significance of neurological symptoms. The most common clinical symptoms observed were hemiparesis, dysarthria, Central Facial Palsy (CFP), ataxia, and nausea, respectively. Among these symptoms, headaches (p = 0.001), seizures (p = 0.024), and nausea (p = 0.046) were found to be more prevalent in younger patients. Additionally, a significant relationship was identified between the level of serum Creatine phosphokinase (CPK) and seizures (p = 0.024), with lower levels observed in individuals with vomiting (p = 0.024), and higher levels observed in individuals with CFP (p = 0.040). This study highlights that patients with COVID-19 may experience serious neurological symptoms. The clinical spectrum and range of neurological symptoms associated with COVID-19 were found to be diverse and extensive, emphasizing the importance of considering this infection as a potential cause of neurological disorders.

关键词： COVID-19   infectious   public health   SARS-COV-2   respiratory   eHealth   health communication   web-based information   DHLI   eHEALS   internet   mixed methods study   adult population   Asia   Asian   cross sectional   survey   surveys   questionnaire   questionnaires   Japan   Japanese   information seeking   information behavior   health literacy   eHealth literacy   digital health literacy   QUALITATIVE CONTENT-ANALYSIS  

摘要： Background: During the COVID-19 pandemic, much misinformation and disinformation emerged and spread rapidly via the internet, posing a severe public health challenge. While the need for eHealth literacy (eHL) has been emphasized, few studies have compared the difficulties involved in seeking and using COVID-19 information between adult internet users with low or Objective: This study examines the association between eHL and web-based health information-seeking behaviors among adult Japanese internet users. Moreover, this study qualitatively shed light on the difficulties encountered in seeking and using Methods: This cross-sectional internet-based survey (October 2021) collected data from 6000 adult internet users who were equally divided into sample groups by gender, age, and income. We used the Japanese version of the eHL Scale (eHEALS). We also used a Digital Health Literacy Instrument (DHLI) adapted to the COVID-19 pandemic to assess eHL after we translated it to Japanese. Web-based health information-seeking behaviors were assessed by using a 10-item list of web sources and evaluating 10 topics participants searched for regarding COVID-19. Sociodemographic and other factors (eg, health-related behavior) were selected as covariates. Furthermore, we qualitatively explored the difficulties in information seeking and using. The descriptive contents of the responses regarding difficulties in seeking and using COVID-19 information were analyzed using an inductive Results: Participants with high eHEALS and DHLI scores on information searching, adding self-generated information, evaluating reliability, determining relevance, and operational skills were more likely to use all web sources of information about COVID-19 than those with low scores. However, there were negative associations between navigation skills and privacy protection scores when using several information sources, such as YouTube (Google LLC), to search for COVID-19 information. While half of the partici

关键词： SARS-CoV-2   major neurocognitive disorder   caregivers   scientometrics   dementia   FAMILY CAREGIVERS   DISEASE   EXPERIENCES   IMPACT  

摘要： Alzheimer's disease is the most common type of dementia, producing a deterioration in the activities of daily living which can lead to the need for care provision. COVID-19 impacted their quality of life and in this care delivery. This study aimed to analyse most productive and prominent authors, the journals and countries with the highest number of publications, the most cited documents and the most used keywords. Publications were retrieved from journals indexed in the Main Collection of the Web of Science (WoS) and analysed using the traditional laws of bibliometrics. A total of 376 documents were found. The WoS categories with the highest number of publications accumulated were "Geriatric Gerontology" and "Gerontology." Clarissa Giebel was the most productive (23 papers) and most cited (with 569 citations) co-author. The Journal of Alzheimer's Disease (21 papers) published the most number of documents. The manuscript "2021 Alzheimer's Disease Facts and Figures" was the most cited. Four thematic clusters related to mental health, telemedicine, care and well-being were found among the authors' keywords. Research networks exist worldwide, with the United States of America and England leading the scientific output. These results may be of interest to researchers, publishers and professionals interested in this subject, as they provide current information on publications related to this topic.

关键词： COVID-19 vaccines   Adverse events following immunization   Vaccine safety monitoring   Older adults   ADVERSE EVENTS   IMMUNIZATION  

摘要： This study examined short -to -medium term safety of COVID-19 vaccines among adults aged >= 65 years using the Canadian National Vaccine Safety Network active safety surveillance data. Both vaccinated and unvaccinated older adult participants recruited from seven provinces and territories were included in the analysis. Safety was assessed at 7 days after COVID-19 vaccination (dose 1, 2 and 3), and 7 months after dose 1. Multivariable logistic regression was used to examine the association between BNT162b2/mRNA-1273 COVID-19 vaccines and two short -term health events: 1) health event preventing daily activities and/or required medical consultation, 2) serious health events resulting in an emergency department visit and/or hospitalization within 7 days following each dose. We also assessed the rates of serious health events for the period between dose 1 and 2, and 7-months following dose 1. Between December 2020 and February 2022, a total of 173,038, 104,452, and 13,970 older adults completed dose 1, dose 2, and dose 3 surveys, respectively. The control survey was completed by 2,955 unvaccinated older adults. Health events occurred more frequently among recipients after dose 2 homologous mRNA-1273 (adjusted odds ratio [95 % confidence interval]: 2.91 [2.24 -3.79]) and dose two heterologous (BNT162b2 followed by mRNA-1273): 1.50 [1.12 -2.02] compared to unvaccinated counterparts. There was no difference in event rates after any dose of BNT162b2 and unvaccinated participants. The rates of serious health events following COVID-19 vaccination were very low ( <= 0.3 %) across all vaccine products and doses, and were not higher compared to unvaccinated controls, and were not associated with an emergency department visit or hospitalization within 7 days following vaccination. Reported symptoms were self-limited and rarely required medical assessment. Our findings further strengthen the current evidence that mRNA COVID-19 vaccines are safe and can be used to inform older adul

关键词： COVID-19  

摘要： The COVID-19 pandemic has precipitated a profound shock to socio-economic systems across the globe, with its impact most conspicuously manifested in the transportation sector. One substantial gauge of municipal transportation recovery post-pandemic is the urban Transportation Revitalization Index (TRI). Predictive research on TRI serves as a pivotal tool for assessing the recuperation of city transport and economic navigation and for settling on pertinent policy-making decisions. Despite the prevalence of spatio-temporal forecasting models built upon graph theory in existing research, these models encounter limitations when tackling intricate interactions across multiple city nodes. The descriptive scope of these models is confined to pairwise connected nodes, failing to capture high-dimensional characteristics and latent non-linear attributes. In an endeavor to rectify this flaw, this study introduces hypergraphs as an alternative to traditional graph models, resulting in the formulation of a spatio-temporal hypergraph forecasting model. A single edge in a hypergraph intuitively portrays complex spatial connections among multiple cities since it can link numerous nodes. Thus, a hypergraph convolution module is constructed to decipher and learn the high-dimensional spatial relationship attributes between cities. Residual modules based on dilated and causal convolutions are established to study the long-term dependency properties of fluctuations in the TRI, structuring a temporal convolution module via multi-layered residual connections. As the data corresponding to the TRI is intertwined with the development of the pandemic, a data fusion module is assembled to bring about dynamic blending of data on the TRI and COVID-19. By comparing experimental results on real-world data with the baseline model set up in this study, the model proposed in this study demonstrates superior performance, with a comprehensive error reduction of 51.66%. © 2024, The Authors. All rights r

关键词： Cross-border trade   Gender   COVID-19   Zambia   Malawi  

摘要： Purpose While the literature has highlighted the impacts of COVID-19, there is limited evidence on the gendered determinants of the impact of COVID-19 among small-scale rural traders in developing and emerging economies. Design/methodology/approach Cross-border fish traders who had operated before and during the COVID-19 pandemic were interviewed in a survey conducted in Zambia and Malawi. Logistic regressions among male and female traders were employed to assess the gendered predictors. Findings Heterogeneous effects in geographical location, skills, and knowledge were reported among male cross-border traders. Effects of household structure and composition significantly influenced the impact of COVID-19 among female traders. Surprisingly, membership in trade associations was associated with the high impact of COVID-19. Research limitations/implications Due to the COVID-19 pandemic and the migratory nature of cross-border fish traders, the population of cross-border fish traders at the time of the study was unknown and difficult to establish, cross-border fish traders (CBFT) at the landing sites and market areas were targeted for the survey without bias. Originality/value This paper addresses a gap in the literature on understanding gendered predictors of the impacts of COVID-19 among small-scale cross-border traders.

关键词： COVID-19   influenza   laboratory parameters   differences   COVID-19 pandemic   INFECTIONS   ASTHMA  

摘要： Introduction It is not always possible to differentiate between influenza and COVID-19 based on symptoms alone. This is a topic of significant importance as it aims to determine whether there are specific hematological parameters that can be used to distinguish between influenza and COVID-19 in children. Methodology Two hundred thirty-one children between the ages of 1 month and 18 years who presented to the children's outpatient clinic between June 2021 and June 2022 with similar symptoms and were tested with an influenza test and a COVID-19 PCR test were included in the study. Of the patients included in the study, 130 tested positive for COVID-19 and 101 positive for influenza. The patients were evaluated for hematological parameters. Results Age, eosinophils and monocyte factors were shown to be statistically significantly effective in COVID-19. The risk of COVID-19 increased 1,484-fold with age, 10,708-fold with increasing eosinophil count, and 1,591-fold with increasing monocyte count. The performance of the monocyte count and eosinophil count was assessed by receiver operating characteristic curve (ROC) analysis. According to the performed ROC analysis, the area under the curve (AUC) value was observed to be 0.990 for monocytes. According to the cutoff point >1.50, the sensitivity value was determined as 98.4% and the specificity value as 97.0%. AUC significance for eosinophils was found to be 0.989. According to the cutoff point >0.02, the sensitivity value was determined as 99.2% and the specificity value as 93.1%. Conclusion In the diagnosis of COVID-19, the eosinophil count and monocyte count are easily accessible, inexpensive, and important parameters in terms of differential diagnosis and can help in the differentiation of COVID-19 from influenza during seasonal outbreaks of the latter. Developing parameters for clinicians to use in diagnosing COVID-19 and influenza can facilitate their work in practice.

摘要： [This corrects the article DOI: 10.1371/***.0271231.].

关键词： TRANSMISSION   RISK  

摘要： Sero-monitoring provides context to the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and changes in population immunity following vaccine introduction. Here, we describe results of a cross-sectional hospital-based study of anti-spike seroprevalence in New York City (NYC) from February 2020 to July 2022, and a follow-up period from August 2023 to October 2023. Samples from 55,092 individuals, spanning five epidemiological waves were analyzed. Prevalence ratios (PR) were obtained using Poisson regression. Anti-spike antibody levels increased gradually over the first two waves, with a sharp increase during the 3rd wave coinciding with SARS-CoV-2 vaccination in NYC resulting in seroprevalence levels >90% by July 2022. Our data provide insights into the dynamic changes in immunity occurring in a large and diverse metropolitan community faced with a new viral pathogen and reflects the patterns of antibody responses as the pandemic transitions into an endemic stage.

关键词： Internal migration   COVID-19 pandemic   Urbanisation   Suburbanisation   Urban exodus   Japan   RECOVERY MIGRATION   CITY   KATRINA   WILL  

摘要： The COVID-19 pandemic has profoundly affected internal migration patterns worldwide. Most previous studies have reported on pandemic-induced changes in internal migration using data from 2020 and 2021. Therefore, little is known about the pandemic's medium-term impact. To address this gap, this study investigated an annual series of migration patterns from 2019 to 2023 in Japan. At the municipal level, relationships between net migration rates and population density indicated that the urbanisation trend became weak in 2020, compared to that in 2019, and it was the weakest in 2021. The urbanisation degree became stronger in 2023, increasing to the level in 2020. Using annual inter-municipal migration flows, this study then investigated changes in migration flows to/from and within three major metropolitan areas (Tokyo, Nagoya, and Osaka). The changes in sizes of these flows and migration effectiveness index suggested that the pandemic had the largest impact in the Tokyo metropolitan area, among the three areas, and it stimulated intra-metropolitan migration as suburbanisation, rather than net out-migration as 'urban exodus', in Japan. The overall results indicated that the pandemic had the largest impact in 2021, which got smaller as the migration patterns recovered to the pre-pandemic ones in 2023.