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1.
Neuron ; 111(7): 1086-1093.e2, 2023 04 05.
Article in English | MEDLINE | ID: covidwho-2181845

ABSTRACT

With recent findings connecting the Epstein-Barr virus to an increased risk of multiple sclerosis and growing concerns regarding the neurological impact of the coronavirus pandemic, we examined potential links between viral exposures and neurodegenerative disease risk. Using time series data from FinnGen for discovery and cross-sectional data from the UK Biobank for replication, we identified 45 viral exposures significantly associated with increased risk of neurodegenerative disease and replicated 22 of these associations. The largest effect association was between viral encephalitis exposure and Alzheimer's disease. Influenza with pneumonia was significantly associated with five of the six neurodegenerative diseases studied. We also replicated the Epstein-Barr/multiple sclerosis association. Some of these exposures were associated with an increased risk of neurodegeneration up to 15 years after infection. As vaccines are currently available for some of the associated viruses, vaccination may be a way to reduce some risk of neurodegenerative disease.


Subject(s)
Alzheimer Disease , Epstein-Barr Virus Infections , Multiple Sclerosis , Neurodegenerative Diseases , Humans , Neurodegenerative Diseases/epidemiology , Cross-Sectional Studies , Biological Specimen Banks , Herpesvirus 4, Human , Multiple Sclerosis/epidemiology
2.
Clinical Neurophysiology ; 132(8):e130-e130, 2021.
Article in English | Academic Search Complete | ID: covidwho-1454082

ABSTRACT

Introduction. In an age where social media is prevalent and long hours are spent browsing through the internet, it is crucial to understand audience engagement. Two of the most common platforms used worldwide are Twitter and Facebook. Both have provided a unique opportunity for the science world;it broadened the horizons for spreading information on current endeavors in the research world. Clinical Neurophysiology and Clinical Neurophysiology Practice, the Official Journals of the International Federation of Clinical Neurophysiology, opened the Twitter and Facebook pages on April 1, 2020. We determined what factors would alter users' engagement. Methods. We employed a multivariate regression analysis. The tested predictor variables included 'days elapsed since the opening (range: 1–100)', 'posting during weekend', 'introduction of a 2020 article', 'author interview', 'inclusion of guidelines or review article', 'COVID19-related information', 'number of hashtags', 'number of attachments', 'presence of colored attachment', and 'attachment of movie'. The dependent variable was the proportion of engaged users, defined as the number of link clicks divided by users who saw the post. Results. Posts including author interviews (p < 0.001) and those introducing guidelines/review articles (p = 0.005) independently increased the proportion of engaged Facebook users. Conversely, posts including a larger number of colored attachments (p < 0.001) and those introducing COVID19-related articles (p = 0.007) independently increased the proportion of engaged Twitter users. Conclusion. Different types of posts attracted Facebook and Twitter users. Facebook users were specifically engaged with interview-based posts. Facebook users might be willing to read through lengthy posts to understand the authors' stories behind the study. In contrast, Twitter users might want to absorb essential information with a glance. [ABSTRACT FROM AUTHOR] Copyright of Clinical Neurophysiology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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