Background: People with vestibular disorders experience symptoms which put them at risk of reduced wellbeing during the Covid-19 pandemic.
Objective: To assess the impact of the Covid-19 pandemic on vestibular symptoms, access to healthcare and daily activities amongst people living with a vestibular disorder.
Methods: An online survey was completed by 124 people in the UK with a vestibular disorder. The survey incorporated the Vertigo Symptom Scale-Short Form and questions regarding health status, healthcare received, daily activities and employment during Covid-19.
Results: The Covid-19 pandemic affected perceptions of wellbeing. 54.1% rated their health as worse now than before the pandemic. Vertigo, unsteadiness, dizziness, tinnitus, loss of concentration/memory, and headaches were the most exacerbated symptoms. Respondents reported changes to their daily activities including reduced social contact (83%) and exercise (54.3%). Some experienced healthcare delays or received a remote appointment. Remote care was perceived as convenient, but barriers included difficulty communicating, trouble concentrating and perceived unsuitability for initial appointments. Unintended benefits of the pandemic included less social pressure, avoiding busy environments, and engaging in self-care.
Conclusion: The effects of the Covid-19 pandemic are diverse. Clinical services should be mindful that Covid-19 can exacerbate vestibular and allied neuropsychiatric symptoms that require acute, multi-disciplinary intervention, but not lose sight of the potential benefit and cost saving associated with promoting self-management and delivering remote care, especially post-diagnosis.
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http://dx.doi.org/10.3233/VES-210119 | DOI Listing |
Sci Rep
December 2024
College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian, 116650, Liaoning, China.
The novel coronavirus (COVID-19) has affected more than two million people of the world, and far social distancing and segregated lifestyle have to be adopted as a common solution in recent years. To solve the problem of sanitation control and epidemic prevention in public places, in this paper, an intelligent disinfection control system based on the STM32 single-chip microprocessor was designed to realize intelligent closed-loop disinfection in local public places such as public toilets. The proposed system comprises seven modules: image acquisition, spraying control, disinfectant liquid level control, access control, voice broadcast, system display, and data storage.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Mathematics, GC University, Lahore, Pakistan.
In this article, a nonlinear fractional bi-susceptible [Formula: see text] model is developed to mathematically study the deadly Coronavirus disease (Covid-19), employing the Atangana-Baleanu derivative in Caputo sense (ABC). A more profound comprehension of the system's intricate dynamics using fractional-order derivative is explored as the primary focus of constructing this model. The fundamental properties such as positivity and boundedness, of an epidemic model have been proven, ensuring that the model accurately reflects the realistic behavior of disease spread within a population.
View Article and Find Full Text PDFNat Commun
December 2024
Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Antibody-mediated protection against pathogens is crucial to a healthy life. However, the recent SARS-CoV-2 pandemic has shown that pre-existing comorbid conditions including kidney disease account for compromised humoral immunity to infections. Individuals with kidney disease are not only susceptible to infections but also exhibit poor vaccine-induced antibody response.
View Article and Find Full Text PDFNat Commun
December 2024
State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines. Its key ingredient, ionizable lipids, is traditionally optimized by inefficient and costly experimental screening. This study leverages artificial intelligence (AI) and virtual screening to facilitate the rational design of ionizable lipids by predicting two key properties of LNPs, apparent pKa and mRNA delivery efficiency.
View Article and Find Full Text PDFNat Commun
December 2024
Laboratory of Aging Research and Cancer Drug Target, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
The immune escape capacities of XBB variants necessitate the authorization of vaccines with these antigens. In this study, we produce three recombinant trimeric proteins from the RBD sequences of Delta, BA.5, and XBB.
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