5 datasets found
  1. Distribution of estimated income loss of Brighton FC due to COVID-19

    • statista.com
    Updated Apr 7, 2020
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    Statista (2020). Distribution of estimated income loss of Brighton FC due to COVID-19 [Dataset]. https://www.statista.com/statistics/1110133/distribution-of-estimated-income-loss-of-brighton-fc-due-to-covid-19/
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    Dataset updated
    Apr 7, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United Kingdom
    Description

    This statistic presents the distribution of estimated income losses of Brighton Football Club as a result of the ongoing COVID-19 containment measures. Although these figures are illustrative, not definitive, and an array of other outcomes is possible, these data suggests that Brighton will experience a total loss of income of over **** million British pounds, of which **** million British pounds will be lost from Premier League TV revenue.

  2. DataSheet1_Profiling COVID-19 Vaccine Adverse Events by Statistical and...

    • frontiersin.figshare.com
    zip
    Updated Jun 1, 2023
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    Wenxin Guo; Jessica Deguise; Yujia Tian; Philip Chi-En Huang; Rohit Goru; Qiuyue Yang; Suyuan Peng; Luxia Zhang; Lili Zhao; Jiangan Xie; Yongqun He (2023). DataSheet1_Profiling COVID-19 Vaccine Adverse Events by Statistical and Ontological Analysis of VAERS Case Reports.zip [Dataset]. http://doi.org/10.3389/fphar.2022.870599.s001
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    zipAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Wenxin Guo; Jessica Deguise; Yujia Tian; Philip Chi-En Huang; Rohit Goru; Qiuyue Yang; Suyuan Peng; Luxia Zhang; Lili Zhao; Jiangan Xie; Yongqun He
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Since the beginning of the COVID-19 pandemic, vaccines have been developed to mitigate the spread of SARS-CoV-2, the virus that causes COVID-19. These vaccines have been effective in reducing the rate and severity of COVID-19 infection but also have been associated with various adverse events (AEs). In this study, data from the Vaccine Adverse Event Reporting System (VAERS) was queried and analyzed via the Cov19VaxKB vaccine safety statistical analysis tool to identify statistically significant (i.e., enriched) AEs for the three currently FDA-authorized or approved COVID-19 vaccines. An ontology-based classification and literature review were conducted for these enriched AEs. Using VAERS data as of 31 December 2021, 96 AEs were found to be statistically significantly associated with the Pfizer-BioNTech, Moderna, and/or Janssen COVID-19 vaccines. The Janssen COVID-19 vaccine had a higher crude reporting rate of AEs compared to the Moderna and Pfizer COVID-19 vaccines. Females appeared to have a higher case report frequency for top adverse events compared to males. Using the Ontology of Adverse Event (OAE), these 96 adverse events were classified to different categories such as behavioral and neurological AEs, cardiovascular AEs, female reproductive system AEs, and immune system AEs. Further statistical comparison between different ages, doses, and sexes was also performed for three notable AEs: myocarditis, GBS, and thrombosis. The Pfizer vaccine was found to have a closer association with myocarditis than the other two COVID-19 vaccines in VAERS, while the Janssen vaccine was more likely to be associated with thrombosis and GBS AEs. To support standard AE representation and study, we have also modeled and classified the newly identified thrombosis with thrombocytopenia syndrome (TTS) AE and its subclasses in the OAE by incorporating the Brighton Collaboration definition. Notably, severe COVID-19 vaccine AEs (including myocarditis, GBS, and TTS) rarely occur in comparison to the large number of COVID-19 vaccinations administered in the United States, affirming the overall safety of these COVID-19 vaccines.

  3. Weekly YoY growth in Airbnb bookings in the city of Brighton and Hove 2020

    • statista.com
    Updated Sep 7, 2020
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    Statista (2020). Weekly YoY growth in Airbnb bookings in the city of Brighton and Hove 2020 [Dataset]. https://www.statista.com/statistics/1154780/airbnb-yoy-bookings-growth-brighton/
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    Dataset updated
    Sep 7, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Aug 23, 2020
    Area covered
    Brighton and Hove, United Kingdom
    Description

    The weekly year-over-year bookings for Airbnb properties in Brighton and Hove fell dramatically due to the outbreak of the (COVID-19) coronavirus in early 2020; In the week ending ******, Airbnb only achieved just *** percent of last years bookings during the same period.

  4. Z

    Raw data for manuscript: Use of immunology in news and YouTube videos in the...

    • data-staging.niaid.nih.gov
    • data.niaid.nih.gov
    • +1more
    Updated Sep 27, 2023
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    Rachel Surrage George; Hannah Goodey; Maria Antonietta Russo; Rovena Tula; Pietro Ghezzi (2023). Raw data for manuscript: Use of immunology in news and YouTube videos in the context of COVID-19: politicization and information bubbles [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_8382702
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    Dataset updated
    Sep 27, 2023
    Dataset provided by
    Brighton and Sussex Medical School
    University of Urbino
    Authors
    Rachel Surrage George; Hannah Goodey; Maria Antonietta Russo; Rovena Tula; Pietro Ghezzi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Coding of newsarticles and videos related to immunology and COVID-19 in Italian and English

  5. u

    Co-Working Spaces and the Urban Ecosystem: The Future of Co-Working...

    • datacatalogue.ukdataservice.ac.uk
    Updated Jul 2, 2025
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    Pitts, F, University of Exeter; Johns, J, University of Bristol; Bozkurt, O, University of Sussex; Greig, C, University of Manchester; Edward, Y, University of Sheffield (2025). Co-Working Spaces and the Urban Ecosystem: The Future of Co-Working Post-COVID-19 (Metadata/Documentation), 2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-857880
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    Dataset updated
    Jul 2, 2025
    Authors
    Pitts, F, University of Exeter; Johns, J, University of Bristol; Bozkurt, O, University of Sussex; Greig, C, University of Manchester; Edward, Y, University of Sheffield
    Area covered
    United Kingdom
    Description

    Co-working spaces have become an essential part of the digital economy but how will Covid-19 affect their growth in urban areas?

    This Round 1 Innovation Fund project followed the experiences of several co-working projects through the pandemic to explore what role co-working spaces might play in new flexible, hybrid models of work.

    Research questions How have co-working spaces responded to the COVID-19 crisis? How do co-working spaces stand to be incorporated into the economic recovery and urban regeneration efforts in the aftermath? Method Over 40 interviews were conducted in Brighton, Bristol and Manchester with representatives from a range of coworking spaces and of local and regional government.

    Key findings The future of urban co-working spaces will be shaped by the wider dynamics of the urban property market and shifts in corporate demand for flexible workspace. These forces will likely prove more influential than anything specific to their founding organisation and social purpose. The pandemic underscored the ambivalent position of co-working spaces as hosts rather than employers and revealed the variable positions of different co-working space business models in the face of disrupted income streams. At the same time, co-working spaces have contributed to the recovery from the pandemic by providing places to work collaboratively or collectively alongside shifts towards more flexible work and working from home. In this respect their importance is likely to increase. Attention is shifting from the towering dominance of London to smaller urban hubs and especially commuting towns. Although local and national government are beginning to recognise the potential importance of co-working spaces, they have not begun to develop strategies to nurture them. This gap risks leaving co-working spaces and their users adrift in increasingly turbulent and competitive market conditions. This is especially important at a time where they stand to play a central role in providing sites for experimentation with, and adaptation to, new digitally-mediated working practices emerging from the pandemic, for a potentially much broader array of workers than spaces previously served.

    The Digital Futures at Work Research Centre (Dig.IT) will establish itself as an essential resource for those wanting to understand how new digital technologies are profoundly reshaping the world of work. Digitalisation is a topical feature of contemporary debate. For evangelists, technology offers new opportunities for those seeking work and increased flexibility and autonomy for those in work. More pessimistic visions, in contrast, see a future where jobs are either destroyed by robots or degraded through increasingly precarious contracts and computerised monitoring. Take Uber as an example: the company claims it is creating opportunities for self-employed entrepreneurs; while workers' groups increasingly challenge such claims through legal means to improve their rights at work.

    While such positive and pessimistic scenarios abound of an increasingly fragmented, digitalised and flexible transformation of work across the globe, theoretical understanding of contemporary developments remains underdeveloped and systematic empirical analyses are lacking. We know, for example, that employers and governments are struggling to cope with and understand the pace and consequences of digital change, while individuals face new uncertainties over how to become and stay 'connected' in turbulent labour markets. Yet, we have no real understanding of what it means to be a 'connected worker' in an increasing 'connected' economy. Drawing resources from different academic fields of study, Dig.IT will provide an empirically innovative and international broad body of knowledge that will offer authoritative insights into the impact of digitalisation on the future of work.

    The Dig.IT centre will be jointly led by the Universities of Sussex and Leeds, supported by leading experts from Aberdeen, Cambridge, Manchester and Monash Universities. Its core research programme will cover four broad-ranging research themes. Theme one will set the conceptual and quantitative base for the centre's activities. Theme two involves a large-scale survey of Employers' Digital Practices at Work. Theme three involves qualitative research on employers' and employees' experiences of digitalisation at work across 4 sectors (Creative industries, Business Services, Consumer Services, Public Services). Theme 4 examines how the disconnected attempt to reconnect, through Public Employment Services, the growth of new types of self-employment, platform work and workers' responses to building new forms of voice and representation in an international context. Specific projects include:

    1. The Impact of Digitalisation on Work and Employment -Conceptualising digital futures, historically, regionally and internationally -Comparative regulation of digital employment
    2. Mapping regional and international trends of digital technology and work

    3. Employers' Digital Practices at Work Survey

    4. Employers' and employees' experiences of digital work across sectors -Changing management processes and practices -Workers' experiences of digital transformation

    5. Reconnecting the disconnected: new channels of voice and representation

    6. displaced workers, job search and the public employment service

    7. self-employment, interest representation and voice

    Dig.IT will establish a Data Observatory on digital futures at work to promote our findings through an interactive website, report on a series of methodological seminars and new experimental methods and deliver extensive outreach activities. It will act as a one-platform library of resources at the forefront of research on digital work and will establish itself as a focal point for decision-makers across the policy spectrum, connecting with industrial strategy, employment and welfare policy. It will also manage an Innovation Fund designed to fund novel research ideas, from across the academic community as they emerge over the life course of the centre.

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Statista (2020). Distribution of estimated income loss of Brighton FC due to COVID-19 [Dataset]. https://www.statista.com/statistics/1110133/distribution-of-estimated-income-loss-of-brighton-fc-due-to-covid-19/
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Distribution of estimated income loss of Brighton FC due to COVID-19

Explore at:
Dataset updated
Apr 7, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2020
Area covered
United Kingdom
Description

This statistic presents the distribution of estimated income losses of Brighton Football Club as a result of the ongoing COVID-19 containment measures. Although these figures are illustrative, not definitive, and an array of other outcomes is possible, these data suggests that Brighton will experience a total loss of income of over **** million British pounds, of which **** million British pounds will be lost from Premier League TV revenue.

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