34 datasets found
  1. c

    The Impact of COVID-19 on Travel Behaviour, Transport, Lifestyles and...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Mar 23, 2025
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    Downey, L; Fonzone, A (2025). The Impact of COVID-19 on Travel Behaviour, Transport, Lifestyles and Residential Location Choices in Scotland Dataset, 2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855617
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    Dataset updated
    Mar 23, 2025
    Dataset provided by
    Edinburgh Napier University
    Authors
    Downey, L; Fonzone, A
    Time period covered
    Feb 3, 2021 - Feb 17, 2021
    Area covered
    United Kingdom, Scotland
    Variables measured
    Individual
    Measurement technique
    The questionnaires were completed by participants between 3rd February 2021 and 17th February 2021 using the online platform, Qualtrics. The survey was restricted to Scottish residents and involved enforcing quota constraints for age, gender and household income.
    Description

    In response to the COVID-19 pandemic, Edinburgh Napier University’s Transport Research Institute has been undertaking a study, funded by the Scottish Funding Council (SFC), into its impact on transport and travel in Scotland. As part of this research, a travel behaviour questionnaire was developed focusing on daily travel as well as people’s long-term travel habits, attitudes and preferences during the different phases of the pandemic outbreak. The associated questionnaires were completed by participants between 3rd February 2021 and 17th February 2021 using the online platform, Qualtrics. The survey was restricted to Scottish residents and involved enforcing quota constraints for age, gender and household income. A total of 994 responses were collected. Perceptions of risk, trust in information sources and compliance with COVID-19 regulations were determined together with changes in levels of ‘life satisfaction’ and modal choice following the onset of COVID-19. In addition, survey responses were used to identify anticipated travel mode use in the future. Consideration was also given to the effects of COVID-19 on transport related lifestyle issues such as ‘working from home’, online shopping and the expectations of moving residences in the future. The research provided an insight into both the relationships between the levels of non-compliance with COVID-19 regulations and demographic variables and the respondent attributes which might affect future public transport usage. In general, the study confirmed significant reductions in traffic activity, amongst respondents during the COVID 19 pandemic associated with walking, driving a car and either using a bus or train. The respondents also indicated that they anticipated they would continue to make less use of buses and trains at the end of the pandemic.

    In response to the COVID-19 pandemic, Edinburgh Napier University’s Transport Research Institute has been undertaking a study, funded by the Scottish Funding Council (SFC), into its impact on transport and travel in Scotland. As part of this research, a travel behaviour questionnaire was developed focusing on daily travel as well as people’s long-term travel habits, attitudes and preferences during the different phases of the pandemic outbreak. The associated questionnaires were completed by participants between 3rd February 2021 and 17th February 2021 using the online platform, Qualtrics. The survey was restricted to Scottish residents and involved enforcing quota constraints for age, gender and household income. A total of 994 responses were collected. Perceptions of risk, trust in information sources and compliance with COVID-19 regulations were determined together with changes in levels of ‘life satisfaction’ and modal choice following the onset of COVID-19. In addition, survey responses were used to identify anticipated travel mode use in the future. Consideration was also given to the effects of COVID-19 on transport related lifestyle issues such as ‘working from home’, online shopping and the expectations of moving residences in the future. The research providedan insight into both the relationships between the levels of non-compliance with COVID-19 regulations and demographic variables and the respondent attributes which might affect future public transport usage. In general, the study confirmed significant reductions in traffic activity, amongst respondents during the COVID 19 pandemic associated with walking, driving a car and either using a bus or train. The respondents also indicated that they anticipated they would continue to make less use of buses and trains at the end of the pandemic.

  2. Coronavirus (COVID-19) cases in Scotland 2023, by NHS health board

    • statista.com
    • flwrdeptvarieties.store
    Updated May 15, 2024
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    Statista (2024). Coronavirus (COVID-19) cases in Scotland 2023, by NHS health board [Dataset]. https://www.statista.com/statistics/1107118/coronavirus-cases-by-region-in-scotland/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, Scotland
    Description

    As of October 3, 2023, there were 2,189,008 confirmed cases of coronavirus (COVID-19) in Scotland. The Greater Glasgow and Clyde health board has the highest amount of confirmed cases at 514,117, although this is also the most populated part of Scotland. The Lothian health board has 368,930 confirmed cases which contains Edinburgh, the capital city of Scotland.

    Situation in the rest of the UK Across the whole of the UK there have been 24,243,393 confirmed cases of coronavirus as of January 2023. Scotland currently has fewer cases than four regions in England. As of December 2023, the South East has the highest number of confirmed first-episode cases of the virus in the UK with 3,180,101 registered cases, while London and the North West have 2,947,7271 and 2,621,449 confirmed cases, respectively.

    COVID deaths in the UK COVID-19 has so far been responsible for 202,157deaths in the UK as of January 13, 2023, and the UK has had the highest death toll from coronavirus in Western Europe. The incidence of deaths in the UK is 297.8 per 100,000 population.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  3. E

    TestEd Survey of Staff and Student Experiences and Perceptions of Novel...

    • dtechtive.com
    • find.data.gov.scot
    docx, txt
    Updated Feb 1, 2023
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    University of Edinburgh. Edinburgh Medical School. Usher Institute (2023). TestEd Survey of Staff and Student Experiences and Perceptions of Novel Covid-19 Testing Platform [Dataset]. http://doi.org/10.7488/ds/3802
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    txt(0.0166 MB), docx(0.1396 MB), txt(0.0005 MB)Available download formats
    Dataset updated
    Feb 1, 2023
    Dataset provided by
    University of Edinburgh. Edinburgh Medical School. Usher Institute
    License

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

    Area covered
    UNITED KINGDOM
    Description

    Survey of staff and students at the University of Edinburgh related to their participation in a routine, asymptomatic Covid-19 workplace testing pilot. 522 participants completed a pilot survey in April 2021 and 1,750 completed the main survey (November 2021). Surveys explored: the acceptability of regular PCR testing among students and staff, particularly involving an approach that was less invasive than nasopharyngeal swabbing; barriers and facilitators to participating in a regular university testing programme, including in the context of other testing methods being available; and whether participation in such a programme changed adherence to public health guidelines.

  4. Linear regression model assessing associations between reported exercise...

    • figshare.com
    xls
    Updated Jun 1, 2023
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    Theresa E. Gildner; Elise J. Laugier; Zaneta M. Thayer (2023). Linear regression model assessing associations between reported exercise changes during the COVID-19 pandemic and Edinburgh Postnatal Depression Survey (EPDS) score. [Dataset]. http://doi.org/10.1371/journal.pone.0243188.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Theresa E. Gildner; Elise J. Laugier; Zaneta M. Thayer
    License

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

    Description

    Linear regression model assessing associations between reported exercise changes during the COVID-19 pandemic and Edinburgh Postnatal Depression Survey (EPDS) score.

  5. E

    GenOMICC Covid-19 summary statistics European ancestry

    • find.data.gov.scot
    • dtechtive.com
    gz, txt
    Updated Nov 23, 2020
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    University of Edinburgh. Roslin Institute (2020). GenOMICC Covid-19 summary statistics European ancestry [Dataset]. http://doi.org/10.7488/ds/2955
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    txt(0.0166 MB), gz(84.12 MB), txt(0.0005 MB)Available download formats
    Dataset updated
    Nov 23, 2020
    Dataset provided by
    University of Edinburgh. Roslin Institute
    License

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

    Description

    GWAS summary statistics for European ancestry, from the GenOMICC Covid-19 critical illness study. GWAS was performed with 1676 Europeans and 5*1676 controls and validated using 100K Genomics England controls and Generation Scotland controls.

  6. h

    DataLoch Core

    • healthdatagateway.org
    • web.dev.hdruk.cloud
    unknown
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    DataLoch, DataLoch Core [Dataset]. https://healthdatagateway.org/dataset/804
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    unknownAvailable download formats
    Dataset authored and provided by
    DataLoch
    License

    https://dataloch.org/data/how-to-applyhttps://dataloch.org/data/how-to-apply

    Description

    DataLoch works with data in several ways, including: collaborating with clinicians to improve the data quality; linking datasets to enable broad insights; translating data into common standard definitions; and maintaining a high-quality metadata dictionary. Critical to this work is the involvement of clinical experts from NHS Scotland who have a detailed understanding of routine data in health care and help the DataLoch team make sure the data are research-ready.

    Our initial focus was on building a COVID-19 dataset to support clinicians and NHS partners in their ongoing COVID-19 response. These data have proven to be an invaluable resource enabling researchers and clinicians to generate new knowledge and insights. Feedback from our early contributors has helped inform improvements to the process and development of the data to support research beyond COVID-19.

  7. E

    SUPERSEDED - Multi-country survey of heat-health during COVID-19

    • dtechtive.com
    • find.data.gov.scot
    csv, txt
    Updated Oct 26, 2020
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    SUPERSEDED - Multi-country survey of heat-health during COVID-19 [Dataset]. https://dtechtive.com/datasets/32783
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    csv(0.3087 MB), csv(0.3551 MB), csv(0.3259 MB), csv(0.2679 MB), csv(0.352 MB), csv(0.3425 MB), csv(0.3118 MB), csv(0.3137 MB), txt(0.0166 MB)Available download formats
    Dataset updated
    Oct 26, 2020
    Dataset provided by
    University of Edinburgh
    License

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

    Area covered
    PAKISTAN
    Description

    This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/2961## Multi-country, remote survey to evaluate the interplay between COVID-19 mitigation measures, heat-health and livelihoods for populations living in densely populated urban areas. Survey data available for Pakistan, India, Indonesia and Cameroon. Data collected remotely via mobile phone survey with ~4400 randomly identified respondents. Data available in CSV file format. Data generated as part of the ESRC/GCRF project 'Cool Infrastructures: Life with heat in the Off Grid City (ES/T008091/1), with additional funding from the Scottish Funding Council.

  8. E

    Supplementary File 1: Key findings from downloaded COVID-19 information for...

    • find.data.gov.scot
    • dtechtive.com
    docx, pdf, txt
    Updated Feb 1, 2021
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    University of Edinburgh. Usher Institute (2021). Supplementary File 1: Key findings from downloaded COVID-19 information for those categorised as high-risk (20 April 2020) [Dataset]. http://doi.org/10.7488/ds/2982
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    pdf(0.7121 MB), docx(0.0436 MB), txt(0.0166 MB)Available download formats
    Dataset updated
    Feb 1, 2021
    Dataset provided by
    University of Edinburgh. Usher Institute
    License

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

    Description

    Data supporting McClatchey et al 'COVID-19 information for people living with asthma: A rapid review of publicly available information' JACI: In practice https://doi.org/10.1016/j.jaip.2021.01.003 . Abstract: In 2020, COVID-19 was declared a pandemic, posing risk to high-risk communities, such as people living with severe asthma. We rapidly reviewed COVID-19 information available online for people with asthma, to assess whether information aligns with risk communication and asthma self-management guidelines. Information from five English-speaking countries and global websites providing COVID-19 information for people with asthma (including those at high-risk of severe disease) were downloaded. Informed by the World Health Organization (WHO) emergency risk communication guideline and the National Institute for Health and Care Excellence asthma guidelines, 102 webpages from 43 unique organisations that provided asthma-related health information were analysed. We found that COVID-19 online information for people with asthma largely followed the WHO emergency risk communication guideline and provided some asthma self-management strategies.

  9. E

    Recruiting students for COVID-19 emergency response: Lessons from eight...

    • dtechtive.com
    • find.data.gov.scot
    docx, txt, xlsx
    Updated Aug 10, 2020
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    TIBA Partnership Program. University of Edinburgh (2020). Recruiting students for COVID-19 emergency response: Lessons from eight African countries [Dataset]. http://doi.org/10.7488/ds/2895
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    docx(0.0594 MB), txt(0.0166 MB), xlsx(0.0141 MB)Available download formats
    Dataset updated
    Aug 10, 2020
    Dataset provided by
    TIBA Partnership Program. University of Edinburgh
    License

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

    Area covered
    Africa
    Description

    A questionnaire on recruiting students for COVID-19 emergency response was sent to 9 TIBA countries and 8 responded. The dataset comprises of an excel spreadsheet containing the responses and a word document summarizing the results.

  10. E

    Verbal risk descriptors in patient information leaflets: Communicating risk...

    • dtechtive.com
    • find.data.gov.scot
    csv, pdf, txt
    Updated Oct 22, 2021
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    University of Edinburgh. School of Philosophy, Psychology, and Language Sciences. Linguistics and English Language (2021). Verbal risk descriptors in patient information leaflets: Communicating risk of Covid-19 vaccination side-effects [Dataset]. http://doi.org/10.7488/ds/3154
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    pdf(0.1601 MB), csv(0.0431 MB), txt(0.0166 MB), txt(0.0027 MB), pdf(0.1552 MB)Available download formats
    Dataset updated
    Oct 22, 2021
    Dataset provided by
    University of Edinburgh. School of Philosophy, Psychology, and Language Sciences. Linguistics and English Language
    License

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

    Description

    This submission contains a dataset as elicited and used for the MScLinguistics dissertation 'Verbal risk descriptors in patient information leaflets: Communicating risk of Covid-19 vaccination side-effects'. It includes the main dataset (as a CSV file), with 144 complete and incomplete responses, information on the questionnaire design (as a PDF file), and a sheet that explains the column names of the dataset (as a PDF file).

  11. Weekly YoY growth in Airbnb bookings in the city of Edinburgh 2020

    • statista.com
    Updated Sep 7, 2023
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    Statista (2023). Weekly YoY growth in Airbnb bookings in the city of Edinburgh 2020 [Dataset]. https://www.statista.com/statistics/1154783/airbnb-yoy-bookings-growth-edinburgh/
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    Dataset updated
    Sep 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Aug 23, 2020
    Area covered
    Edinburgh, United Kingdom (Scotland)
    Description

    The weekly year-over-year bookings for Airbnb properties in Edinburgh fell dramatically due to the outbreak of the (COVID-19) coronavirus in early 2020; In the week ending May 17, Airbnb achieved less than one percent of the bookings it had achieved in the Scottish city during the same period in 2019.

  12. GVA of Edinburgh's tourism sector 2016-2022

    • statista.com
    Updated Feb 26, 2025
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    Statista (2025). GVA of Edinburgh's tourism sector 2016-2022 [Dataset]. https://www.statista.com/statistics/1559612/gross-value-added-tourism-industry-edinburgh/
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    Dataset updated
    Feb 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, Scotland
    Description

    Based on figures spanning from 2016 to 2022, the gross value added (GVA) of Edinburgh's tourism industry peaked in 2022, totaling 934.4 million British pounds. The industry was hit hard in 2020 with the onset of the coronavirus pandemic, and the GVA of the sector dipped to less than 500 million British pounds.

  13. f

    Results and clinical sensitivity and specificity of the ActiveXpress+...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 19, 2023
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    Sandra Palomino-Padilla; Lorna Finch; Margaretha de Vos; Helen Savage; Luz Villa-Castillo; Gail Hayward; Eloïse Cook; Camille Escadafal; Richard Body; Emily R. Adams; Cesar Ugarte-Gil; Ana I. Cubas-Atienzar (2023). Results and clinical sensitivity and specificity of the ActiveXpress+ COVID-19 Complete Testing Kit based on COVID-19 RT-qPCR result in the UK and Peru. [Dataset]. http://doi.org/10.1371/journal.pone.0281925.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 19, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sandra Palomino-Padilla; Lorna Finch; Margaretha de Vos; Helen Savage; Luz Villa-Castillo; Gail Hayward; Eloïse Cook; Camille Escadafal; Richard Body; Emily R. Adams; Cesar Ugarte-Gil; Ana I. Cubas-Atienzar
    License

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

    Area covered
    Peru, United Kingdom
    Description

    Results and clinical sensitivity and specificity of the ActiveXpress+ COVID-19 Complete Testing Kit based on COVID-19 RT-qPCR result in the UK and Peru.

  14. f

    Descriptive statistics of model variables.

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2023
    + more versions
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    Theresa E. Gildner; Elise J. Laugier; Zaneta M. Thayer (2023). Descriptive statistics of model variables. [Dataset]. http://doi.org/10.1371/journal.pone.0243188.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Theresa E. Gildner; Elise J. Laugier; Zaneta M. Thayer
    License

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

    Description

    Descriptive statistics of model variables.

  15. E

    Global seasonality of human seasonal coronaviruses

    • find.data.gov.scot
    • dtechtive.com
    txt, xlsx
    Updated May 11, 2020
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    Global seasonality of human seasonal coronaviruses [Dataset]. https://find.data.gov.scot/datasets/34075
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    txt(0.0166 MB), xlsx(0.0412 MB)Available download formats
    Dataset updated
    May 11, 2020
    Dataset provided by
    University of Edinburgh
    License

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

    Description

    Background It is speculated that the ongoing pandemic of Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 virus could recur as seasonal outbreaks, a circulating pattern observed among other pre-existing human seasonal coronaviruses (sCoV). However, little is known about the seasonality of these sCoVs on a global scale. Methods We conducted a systematic review of existing data on the seasonality of human sCoV, including NL63, 229E, OC43 and HKU1. We searched four English databases and three Chinese databases for relevant publications between 1st January 2020 and 15th April 2020. We also searched online surveillance datasets and preprints. We extracted weekly or monthly number of sCoV from included studies and calculated the monthly annual average percentage (AAP) as the relative strength of virus activity. We compared the seasonality of sCoV with that of influenza virus and respiratory syncytial virus that we previously reported. We further modelled the monthly activity of sCoV using site-specific temperature, relative humidity and dew point.

  16. E

    GenOMICC Covid-19 critical illness summary statistics non-European...

    • find.data.gov.scot
    gz, txt
    Updated Oct 26, 2020
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    University of Edinburgh. Roslin Institute (2020). GenOMICC Covid-19 critical illness summary statistics non-European ancestries [Dataset]. http://doi.org/10.7488/ds/2939
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    gz(62.41 MB), gz(60.5 MB), txt(0.0007 MB), gz(52.53 MB), txt(0.0166 MB)Available download formats
    Dataset updated
    Oct 26, 2020
    Dataset provided by
    University of Edinburgh. Roslin Institute
    License

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

    Description

    Non-European ancestries GWAS summary statistics for Covid-19 critical illness from the GenOMICC study

  17. m

    Media Use Pattern with Respect to Mental Health in COVID-19: A Dataset from...

    • data.mendeley.com
    Updated Jul 23, 2020
    + more versions
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    CHANCHAL MAITY (2020). Media Use Pattern with Respect to Mental Health in COVID-19: A Dataset from India [Dataset]. http://doi.org/10.17632/sktz4xv4vh.2
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    Dataset updated
    Jul 23, 2020
    Authors
    CHANCHAL MAITY
    License

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

    Area covered
    India
    Description

    The purpose of the study is to fill a void how media as a whole (including social and electronic media) has been impacted the mental health of Indian people in terms of growing anxiety and mental well-being.Thus the research questions addressed in the study are- 1. Is there any relationship between media use pattern with mental Well-being and Anxiety? 2. How the demographic attributes do associated with mental Well-being and Anxiety?

    Data collection: The researchers here conducted a web based cross sectional survey to assess the psychological impact of COVID-19 on the Indian public. The Data was gathered after three weeks of commencement of lock down in India from 426 respondents through snowball sampling.

    Media use pattern: There were ten structured validated items regarding the information and news about COVID-19 perspective. Depending upon the hour of exposer to the media, the respondents were categorised in to three group subsequently High (≥9 hrs.), Medium (7-8 hrs.) and Low (≤6 hrs.)Media user.

    Mental Well-Being Scale: Warwick-Edinburgh Mental Well-Being Scale (NHS Health Scotland, University of Warwick and University of Edinburgh, 2006) was used to collect data about the status of mental well-being. It was a 5 point Likert type scale having 14 items. The summated score of the respondent is used as mental well-being score. It is also classified as high (Score>56), medium (Score 47-56) and low (score<47) mental well-being.

    Mental Anxiety Scale Beck Anxiety Inventory (BAI) Scale (Beck et al., 1988) was applied to collect the information regarding anxiety level. It was a 4 point Likert scale having 21 items. The summated score of the respondent is also used as mental anxiety score. It is also classified as high (Score>35), medium (Score 22-35 ) and low (score<22) mental anxiety.

    Data Analysis: The demographic characteristics here include age (young, middle & old); gender (male & female); habitat (rural, urban municipality & metropolitan city); and educational qualification (undergraduate or below, postgraduate & above postgraduate). The data showed that there is significant negative relationship exists between of respondent’s media use and mental wellbeing status, and significant positive relationship exists between media use of respondents’ mental anxiety.

    Any researcher may use the data to test the association between demographic variables with media user pattern, mental well-being and mental anxiety. The data might be helpful for the psychologist and policy makers to make decision about mental health condition during COVID-19 crisis both in and outside of India.

  18. E

    Data from: Epilepsy-related mortality during the COVID-19 pandemic: a...

    • dtechtive.com
    • find.data.gov.scot
    txt, xlsx
    Updated Nov 10, 2020
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    Muir Maxwell Epilepsy Centre (2020). Epilepsy-related mortality during the COVID-19 pandemic: a nationwide study of routine Scottish data [Dataset]. http://doi.org/10.7488/ds/2949
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    xlsx(0.018 MB), txt(0.0166 MB)Available download formats
    Dataset updated
    Nov 10, 2020
    Dataset provided by
    Muir Maxwell Epilepsy Centre
    License

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

    Area covered
    UNITED KINGDOM
    Description

    Methods: This was a national, population-based, cross-sectional study of routinely-collected mortality and demographic data pertaining to March-August of 2020 (COVID-19 pandemic) compared to the corresponding periods in 2015-2019. ICD-10-coded causes of death of deceased people of any age were obtained from a national mortality registry of death certificates. The G40-41 ICD-10 codes for epilepsy were used to define epilepsy-related deaths, with or without a U07*1-07*2 ICD-10 code for COVID-19 listed as an additional cause. Deaths unrelated to epilepsy were defined as all remaining Scottish deaths without G40-41 ICD-10 codes listed as a cause. We assessed the number of epilepsy-related deaths in 2020 compared to mean year-to-year variation observed in 2015-2019 (overall, men, women). We assessed proportionate mortality and odds ratios (OR) for deaths with COVID-19 listed as the underlying cause in people with epilepsy-related deaths compared to in deaths unrelated to epilepsy, reporting 95% confidence intervals (95% CIs). Sheet 1 contains a key to the remaining dataset.

  19. Evidence for Equality National Survey: a Survey of Ethnic Minorities During...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2024
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    N. Finney; J. Nazroo; N. Shlomo; D. Kapadia; L. Becares; B. Byrne (2024). Evidence for Equality National Survey: a Survey of Ethnic Minorities During the COVID-19 Pandemic, 2021 [Dataset]. http://doi.org/10.5255/ukda-sn-9116-1
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    N. Finney; J. Nazroo; N. Shlomo; D. Kapadia; L. Becares; B. Byrne
    Description
    The Centre on the Dynamics of Ethnicity (CoDE), led by the University of Manchester with the Universities of St Andrews, Sussex, Glasgow, Edinburgh, LSE, Goldsmiths, King's College London and Manchester Metropolitan University, designed and carried out the Evidence for Equality National Survey (EVENS), with Ipsos as the survey partner. EVENS documents the lives of ethnic and religious minorities in Britain during the coronavirus pandemic and is, to date, the largest and most comprehensive survey to do so.

    EVENS used online and telephone survey modes, multiple languages, and a suite of recruitment strategies to reach the target audience. Words of Colour coordinated the recruitment strategies to direct participants to the survey, and partnerships with 13 voluntary, community and social enterprise (VCSE) organisations[1] helped to recruit participants for the survey.

    The ambition of EVENS was to better represent ethnic and religious minorities compared to existing data sources regarding the range and diversity of represented minority population groups and the topic coverage. Thus, the EVENS survey used an 'open' survey approach, which requires participants to opt-in to the survey instead of probability-based approaches that invite individuals to participate following their identification within a pre-defined sampling frame. This 'open' approach sought to overcome some of the limitations of probability-based methods in order to reach a large number and diverse mix of people from religious and ethnic minorities.

    EVENS included a wide range of research and policy questions, including education, employment and economic well-being, housing, social, cultural and political participation, health, and experiences of racism and discrimination, particularly with respect to the impact of the COVID-19 pandemic. Crucially, EVENS covered a full range of racial, ethnic and religious groups, including those often unrepresented in such work (such as Chinese, Jewish and Traveller groups), resulting in the participation of 14,215 participants, including 9,702 ethnic minority participants and a general population sample of 4,513, composed of White people who classified themselves as English, Welsh, Scottish, Northern Irish, and British. Data collection covered the period between 16 February 2021 and 14 August 2021.

    Further information about the study can be found on the EVENS project website.

    A teaching dataset based on the main EVENS study is available from the UKDS under SN 9249.

    [1] The VCSE organisations included Business in the Community, BEMIS (Scotland), Ethnic Minorities and Youth Support Team (Wales), Friends, Families and Travellers, Institute for Jewish Policy Research, Migrants' Rights Networks, Muslim Council Britain, NHS Race and Health Observatory, Operation Black Vote, Race Equality Foundation, Runnymede Trust, Stuart Hall Foundation, and The Ubele Initiative.
  20. c

    Locked Down, Locked Out? Local Partnership Resilience in the COVID-19...

    • datacatalogue.cessda.eu
    Updated Mar 1, 2025
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    Buchan, J; Wooff, A; Morrison, K; Nogales, C (2025). Locked Down, Locked Out? Local Partnership Resilience in the COVID-19 Pandemic, 2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-856055
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    Dataset updated
    Mar 1, 2025
    Dataset provided by
    Edinburgh Napier University
    Authors
    Buchan, J; Wooff, A; Morrison, K; Nogales, C
    Time period covered
    Jan 11, 2021 - Nov 11, 2021
    Area covered
    United Kingdom
    Variables measured
    Individual, Organization
    Measurement technique
    The first phase of data collection was an online survey which gathered quantitative and qualitative data and received 31 responses. As well as data collection the survey was also used to recruit for the second phrase - online interviews with 23 local partnership professionals. We gathered data from across Scotland but principally from rural areas outside the 'Central Belt'; for anonymity, it's probably not possible to provide more detail on this (but please see Readme.docx).
    Description

    cross much of the UK, but particularly (following the Christie Commission) in Scotland, there is a growing recognition of the value of local partnership in responding to some of the most complex social issues and problems. The Covid-19 pandemic and associated lockdown measures (beginning in March 2020) have posed enormous challenges for public services and partnership working at the local level. Aside from rising demand for cash-strapped public services, and troubling implications for existing social inequalities, the lockdown has also forced organisations to work in different ways, particularly working remotely. Our project researched the impact of the pandemic and lockdown on local partnership working arrangements, aiming to answer the following research questions:

    How has Covid-19 affected Scottish local partnership arrangements, in the short and medium term? How has Covid-19 affected efforts to implement the recommendations of the Christie Commission (particularly the prevention principle) in Scottish local government? How have Scottish local partnerships changed their practices to meet the challenge of the pandemic, and how can any progress be built upon? What are the implications of these for existing social inequalities? What are the potential lessons for other countries, particularly in terms of local partnership responses to crises? The first phase of data collection was an online survey which gathered quantitative and qualitative data and received 31 responses. As well as data collection the survey was also used to recruit for the second phrase - online interviews with 23 local partnership professionals. We gathered data from across Scotland but principally from rural areas outside the 'Central Belt'; for anonymity, it's probably not possible to provide more detail on this (but please see Readme.docx).

    These data may be helpful for studies of interagency partnership working, community resilience or more generally the social impacts of Covid-19. It may be helpful to read them in conjunction with the study's final report.

    This is a project about how the Covid-19 pandemic has affected arrangements for agencies that work in partnership within local communities to deal with difficult and complex social problems.

    It is increasingly well-known that the Covid-19 pandemic has disproportionately affected the most disadvantaged and vulnerable people in society - these are also the people who are most likely to rely on services provided at the local level. Many of these services require partnership responses.

    For the last few decades, partnerships between agencies have increasingly been recognised as key to tackling complex issues like homelessness, criminal offending, deprivation, ill-health, addictions and social care - all of which tend to reflect wider social and economic inequalities. These 'wicked problems' (Buchanan, 1995) might require input from social work, the NHS, charities and criminal justice agencies among others.

    We intend to investigate the impact of Covid-19 and its associated 'lockdown' measures on the operation of these local partnerships. The pandemic has created significant extra demand for some local services while also putting new financial strains on local authorities. Partnership arrangements have tended to depend on regular meetings between relevant individuals from partner organisations, and it will not have been possible to conduct these in the lockdown. We are interested in considering this dynamic and its impact on both those working in the partnerships and on the service users.

    Furthermore, over this period local government has also been subject to major long-term budget cuts, including under 'austerity' policies enacted by the UK government since the 2007-8 financial crisis. For most local authorities, the context is one of long-term financial strain, not just the short-term impact of the pandemic.

    However, there is also evidence that the crisis has led local partnerships to work innovatively and quickly to deal with complex social problems at the local level. Notably, there was significant success in reducing street homelessness in the early months of the lockdown (Teixeira, 2020), while the shift to remote working is likely to have created some efficiencies as well as challenges.

    We will be focusing on local partnership arrangements in Scotland because local government in Scotland has significantly greater autonomy relative to central government, and because partnership has been a particularly essential element of Scotland's political response to austerity.

    We will carry out the research in two stages - an online survey of all 32 Scottish local authorities, followed by a series of interviews with people working in different types of local partnership within local authorities. We will then analyse the data and publicise our key findings - first to relevant stakeholders and then to the academic community. Any academic outputs from this project will be made...

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Downey, L; Fonzone, A (2025). The Impact of COVID-19 on Travel Behaviour, Transport, Lifestyles and Residential Location Choices in Scotland Dataset, 2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855617

The Impact of COVID-19 on Travel Behaviour, Transport, Lifestyles and Residential Location Choices in Scotland Dataset, 2021

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7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 23, 2025
Dataset provided by
Edinburgh Napier University
Authors
Downey, L; Fonzone, A
Time period covered
Feb 3, 2021 - Feb 17, 2021
Area covered
United Kingdom, Scotland
Variables measured
Individual
Measurement technique
The questionnaires were completed by participants between 3rd February 2021 and 17th February 2021 using the online platform, Qualtrics. The survey was restricted to Scottish residents and involved enforcing quota constraints for age, gender and household income.
Description

In response to the COVID-19 pandemic, Edinburgh Napier University’s Transport Research Institute has been undertaking a study, funded by the Scottish Funding Council (SFC), into its impact on transport and travel in Scotland. As part of this research, a travel behaviour questionnaire was developed focusing on daily travel as well as people’s long-term travel habits, attitudes and preferences during the different phases of the pandemic outbreak. The associated questionnaires were completed by participants between 3rd February 2021 and 17th February 2021 using the online platform, Qualtrics. The survey was restricted to Scottish residents and involved enforcing quota constraints for age, gender and household income. A total of 994 responses were collected. Perceptions of risk, trust in information sources and compliance with COVID-19 regulations were determined together with changes in levels of ‘life satisfaction’ and modal choice following the onset of COVID-19. In addition, survey responses were used to identify anticipated travel mode use in the future. Consideration was also given to the effects of COVID-19 on transport related lifestyle issues such as ‘working from home’, online shopping and the expectations of moving residences in the future. The research provided an insight into both the relationships between the levels of non-compliance with COVID-19 regulations and demographic variables and the respondent attributes which might affect future public transport usage. In general, the study confirmed significant reductions in traffic activity, amongst respondents during the COVID 19 pandemic associated with walking, driving a car and either using a bus or train. The respondents also indicated that they anticipated they would continue to make less use of buses and trains at the end of the pandemic.

In response to the COVID-19 pandemic, Edinburgh Napier University’s Transport Research Institute has been undertaking a study, funded by the Scottish Funding Council (SFC), into its impact on transport and travel in Scotland. As part of this research, a travel behaviour questionnaire was developed focusing on daily travel as well as people’s long-term travel habits, attitudes and preferences during the different phases of the pandemic outbreak. The associated questionnaires were completed by participants between 3rd February 2021 and 17th February 2021 using the online platform, Qualtrics. The survey was restricted to Scottish residents and involved enforcing quota constraints for age, gender and household income. A total of 994 responses were collected. Perceptions of risk, trust in information sources and compliance with COVID-19 regulations were determined together with changes in levels of ‘life satisfaction’ and modal choice following the onset of COVID-19. In addition, survey responses were used to identify anticipated travel mode use in the future. Consideration was also given to the effects of COVID-19 on transport related lifestyle issues such as ‘working from home’, online shopping and the expectations of moving residences in the future. The research providedan insight into both the relationships between the levels of non-compliance with COVID-19 regulations and demographic variables and the respondent attributes which might affect future public transport usage. In general, the study confirmed significant reductions in traffic activity, amongst respondents during the COVID 19 pandemic associated with walking, driving a car and either using a bus or train. The respondents also indicated that they anticipated they would continue to make less use of buses and trains at the end of the pandemic.

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