100+ datasets found
  1. Growth forecasts for retail sales pre and post-Coronavirus in the UK 2021,...

    • statista.com
    Updated Dec 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Growth forecasts for retail sales pre and post-Coronavirus in the UK 2021, by sector [Dataset]. https://www.statista.com/statistics/1111013/pre-and-post-coronavirus-growth-forecasts-for-retail-uk/
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United Kingdom
    Description

    The coronavirus pandemic has caused massive shocks to the global economy and dampened previously projected growth scenarios worldwide. According to a recent study, clothing and footwear retail was predicted to suffer a **** percent decline annually in 2020. However, with the diminishing of the impact of the pandemic, in 2021 the sector is forecast to grow by **** percent. In total terms, the retail industry is expected to grow by *** percent, as opposed to the *** percent decline in 2020. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

  2. Post-coronavirus growth forecast in the retail sector in the UK 2020, by...

    • statista.com
    Updated Mar 24, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2020). Post-coronavirus growth forecast in the retail sector in the UK 2020, by category [Dataset]. https://www.statista.com/statistics/1106122/post-coronavirus-forecast-in-retail-sector-in-the-uk/
    Explore at:
    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    United Kingdom
    Description

    According to a recent study on the impact of the coronavirus (COVID-19), the food and grocery retail sector in the United Kingdom (UK) is predicted to see a *** percent growth. In contrast, clothing and footwear retail is forecast to suffer significant losses, with a ** percent decrease in spending going into this sector.

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

  3. f

    Questions asked of participants with corresponding forecast medians, median...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gabriel Recchia; Alexandra L. J. Freeman; David Spiegelhalter (2023). Questions asked of participants with corresponding forecast medians, median absolute deviation (MAD), median absolute error (MAE) and median relative error (MRE). [Dataset]. http://doi.org/10.1371/journal.pone.0250935.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Gabriel Recchia; Alexandra L. J. Freeman; David Spiegelhalter
    License

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

    Description

    Questions asked of participants with corresponding forecast medians, median absolute deviation (MAD), median absolute error (MAE) and median relative error (MRE).

  4. Coronavirus Disease 2019 (COVID-19) - Epidemiology Analysis and Forecast -...

    • store.globaldata.com
    Updated May 30, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2020). Coronavirus Disease 2019 (COVID-19) - Epidemiology Analysis and Forecast - May 2020 [Dataset]. https://store.globaldata.com/report/coronavirus-disease-covid-19-epidemiology-analysis-and-forecast-may-2020/
    Explore at:
    Dataset updated
    May 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    First reported in Wuhan, China, in December 2019, now more than 846,200 confirmed cases of COVID-19 are spread across 187 countries worldwide. The US and several countries in Europe such as Italy, Spain, and Belgium have continued to see a decrease in daily cases. Russia, Brazil, and Latin American countries are seeing increasing trends. India has also seen an increase in the number of new cases reported despite strict distancing measures taken early on.
    Special populations analysis covered in the report include the following:
    COVID-19 in children may result in systemic multisystem syndrome with severe outcomes.
    Childhood routine vaccination rates drop during pandemic.
    COVID-19’s impact in pregnant women unclear, though most cases are asymptomatic.
    The COVID-19 pandemic could cause an increase in the prevalence of post-traumatic stress disorder (PTSD).
    Complications of opioid addiction will be challenging for the management of disease during the COVID-19 pandemic. Read More

  5. Post coronavirus GDP growth forecast in the United Kingdom 2020-2021

    • statista.com
    Updated Apr 14, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2020). Post coronavirus GDP growth forecast in the United Kingdom 2020-2021 [Dataset]. https://www.statista.com/statistics/1107834/uk-gdp-growth-forecast/
    Explore at:
    Dataset updated
    Apr 14, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United Kingdom
    Description

    The economy of the United Kingdom is expected to fall by ** percent in the second quarter of 2020, following the Coronavirus outbreak and closure of several businesses. According to the forecast the economy will bounce back in the third quarter of 2020, based on a scenario where the lockdown lasts for three months, with social distancing gradually phased out over a subsequent three-month period.

  6. Coronavirus Disease 2019 (COVID-19) Vaccines-Global Market Forecast to 2024

    • store.globaldata.com
    Updated Nov 30, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2021). Coronavirus Disease 2019 (COVID-19) Vaccines-Global Market Forecast to 2024 [Dataset]. https://store.globaldata.com/report/coronavirus-disease-2019-vaccines-market-analysis/
    Explore at:
    Dataset updated
    Nov 30, 2021
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2021 - 2025
    Area covered
    Asia
    Description

    This publication is an update and extension to the Excel model containing the patient-based sales forecast for COVID-19 vaccines, which was previously covered in Coronavirus Disease 2019 (COVID 19) Vaccines: Opportunity Assessment and Forecast to 2026, published in June 2021. Read More

  7. National flu and COVID-19 surveillance reports: 2024 to 2025 season

    • gov.uk
    Updated Jul 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UK Health Security Agency (2025). National flu and COVID-19 surveillance reports: 2024 to 2025 season [Dataset]. https://www.gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports-2024-to-2025-season
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    These reports summarise the surveillance of influenza, COVID-19 and other seasonal respiratory illnesses in England.

    Weekly findings from community, primary care, secondary care and mortality surveillance systems are included in the reports.

    This page includes reports published from 18 July 2024 to the present.

    Please note that after the week 21 report (covering data up to week 20), this surveillance report will move to a condensed summer report and will be released every 2 weeks.

    Previous reports on influenza surveillance are also available for:

    View the pre-release access list for these reports.

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  8. Coronavirus Disease 2019 (COVID-19) - Epidemiology Analysis and Forecast -...

    • store.globaldata.com
    Updated Nov 30, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2020). Coronavirus Disease 2019 (COVID-19) - Epidemiology Analysis and Forecast - November 2020 [Dataset]. https://store.globaldata.com/report/coronavirus-disease-2019-covid-19-epidemiology-analysis-and-forecast-november-2020/
    Explore at:
    Dataset updated
    Nov 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    Current Epidemiology Situation and Forecast
    To date, the greatest numbers of cases and deaths have occurred in the US, India, and Brazil
    The global case fatality rate (%) has continued to decline
    Increasing uncertainty of infection rates renders forecasting difficult in the worst-hit countries Read More

  9. Europe Coronavirus Test Kits Market Analysis - Size and Forecast 2024-2028

    • technavio.com
    pdf
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2024). Europe Coronavirus Test Kits Market Analysis - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/corona-virus-test-kits-market-in-europe-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    Europe
    Description

    Snapshot img

    Europe Coronavirus Test Kits Market Size 2024-2028

    The coronavirus test kits market in Europe size is forecast to decrease by USD 1.89 billion at a CAGR of -72.5% between 2023 and 2028.

    The European coronavirus test kits market is experiencing significant growth due to the increasing demand for rapid diagnostic solutions. The emergence of SARS-CoV-2 variants, such as the Delta variant, has highlighted the importance of accurate and timely testing. Oropharyngeal swabs, nasal swabs, and sputum samples are commonly used for diagnosing COVID-19 infections. Point-of-Care (PoC) kits have gained popularity due to their convenience and quick results. However, the accuracy of diagnostic tests remains a challenge, with the Indian Council of Medical Research (ICMR) and the Health Ministry reporting false positives and negatives. The market is expected to continue its expansion as the world navigates the ongoing pandemic.
    

    What will be the Size of the Market During the Forecast Period?

    Request Free Sample

    The European coronavirus test kits market is witnessing significant growth due to the ongoing pandemic caused by SARS-CoV-2. The demand for test kits is driven by the need for early detection and rapid screening of infected individuals to prevent the spread of the virus within communities. According to the medical device database from GlobalData, RT-PCR tests remain the gold standard for diagnosing SARS-CoV-2 infection. These tests detect viral genetic material from human nasal samples, providing accurate results. However, the time-consuming nature of these tests and the requirement for specialized equipment have led to the emergence of alternative solutions, such as SARS-CoV-2 antigen tests.
    Moreover, rapid antigen tests, also known as point-of-care (PoC) kits, offer user-friendly solutions for healthcare systems. These tests provide results within minutes, making them ideal for mass screening in various settings, including schools, workplaces, and airports. The Delta variant and the emerging Omicron variant of SARS-CoV-2 have added to the urgency for effective testing solutions. The European Union has been proactive in addressing this need, with initiatives such as the European Health Union and the EU Digital COVID Certificate system. The European coronavirus test kits market is expected to continue its growth trajectory, driven by the ongoing pandemic and the need for regular testing to ensure public health and safety
    

    How is this market segmented and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    End-user
    
      Government
      Non government
    
    
    Type
    
      Rapid test kit
      RT-PCR
      Others
    
    
    Geography
    
      Europe
    
        Germany
        UK
        France
    

    By End-user Insights

    The government segment is estimated to witness significant growth during the forecast period.
    

    In Europe, various diagnostic techniques are utilized to identify COVID-19 cases, with WHO recommending that countries with limited testing capacity or inexperienced national laboratories send their initial positive and negative samples to five referral laboratories in Europe for confirmatory testing. These laboratories include the German coronavirus diagnostic working group at Charite and Robert Koch Institute in Berlin, Erasmus Medical Center in Rotterdam, the Institute Pasteur in Paris, and the Respiratory Virus Unit at Public Health England. Additionally, several other laboratories in Belgium, Luxembourg, the Netherlands, and Spain offer diagnostic testing support. In the UK, Public Health England (PHE) regional laboratories provide testing facilities alongside WHO referral laboratories. As the world awaits vaccinations and booster doses, public awareness remains crucial. During the flu season, mask mandates and social distancing measures continue to be essential preventative measures.

    Get a glance at the market report of share of various segments Request Free Sample

    Market Dynamics

    Our Europe Coronavirus Test Kits Market researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    What are the key market drivers leading to the rise in the adoption of the European coronavirus Test Kits Market?

    Rising adoption of rapid coronavirus test kits is the key driver of the market.

    In Europe, the coronavirus pandemic has put immense pressure on healthcare systems, particularly in terms of diagnostic capabilities. To mitigate this challenge, European governments have prioritized expanding their testing capacity through various means. In 2022, there was a significant push to distribute coronavirus test kits across
    
  10. Data_Sheet_1_Using a Dynamic Causal Model to validate previous predictions...

    • frontiersin.figshare.com
    docx
    Updated Jun 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cam Bowie; Karl Friston (2023). Data_Sheet_1_Using a Dynamic Causal Model to validate previous predictions and offer a 12-month forecast of the long-term effects of the COVID-19 epidemic in the UK.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.1108886.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Cam Bowie; Karl Friston
    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

    BackgroundPredicting the future UK COVID-19 epidemic provides a baseline of a vaccine-only mitigation policy from which to judge the effects of additional public health interventions. A previous 12-month prediction of the size of the epidemic to October 2022 underestimated its sequelae by a fifth. This analysis seeks to explain the reasons for the underestimation before offering new long-term predictions.MethodsA Dynamic Causal Model was used to identify changes in COVID-19 transmissibility and the public's behavioral response in the 12-months to October 2022. The model was then used to predict the future trends in infections, long-COVID, hospital admissions and deaths over 12-months to October 2023.FindingsThe model estimated that the secondary attack rate increased from 0.4 to 0.5, the latent period shortened from 2.7 to 2.6 and the incubation period shortened from 2.0 to 1.95 days between October 2021 and October 2022. During this time the model also estimated that antibody immunity waned from 177 to 160 days and T-cell immunity from 205 to 180 days. This increase in transmissibility was associated with a reduction in pathogenicity with the proportion of infections developing acute respiratory distress syndrome falling for 6–2% in the same twelve-month period. Despite the wave of infections, the public response was to increase the tendency to expose themselves to a high-risk environment (e.g., leaving home) each day from 33–58% in the same period.The predictions for October 2023 indicate a wave of infections three times larger this coming year than last year with significant health and economic consequences such as 120,000 additional COVID-19 related deaths, 800,000 additional hospital admissions and 3.5 million people suffering acute-post-COVID-19 syndrome lasting more than 12 weeks.InterpretationThe increase in transmissibility together with the public's response provide plausible explanations for why the model underestimated the 12-month predictions to October 2022. The 2023 projection could well-underestimate the predicted substantial next wave of COVID-19 infection. Vaccination alone will not control the epidemic. The UK COVID-19 epidemic is not over. The results call for investment in precautionary public health interventions.

  11. a

    Data from: Heterogeneity in COVID-19 pandemic-induced lifestyle stressors...

    • atlaslongitudinaldatasets.ac.uk
    Updated Oct 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Child Mind Institute (2024). Heterogeneity in COVID-19 pandemic-induced lifestyle stressors predicts future mental health in adults and children in the US and UK [Dataset]. https://atlaslongitudinaldatasets.ac.uk/datasets/heterogeneity-in-covid-19-pandemic-induced-lifestyle-stressors-predicts-future-mental-health-in-adults-and-children-in-the-us-and-uk
    Explore at:
    Dataset updated
    Oct 14, 2024
    Dataset provided by
    Atlas of Longitudinal Datasets
    Authors
    Child Mind Institute
    License

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

    Area covered
    United States
    Variables measured
    None, Non-standard measures
    Measurement technique
    Cohort, Online survey panels, None
    Dataset funded by
    Morgan Stanley
    Description

    This study is a longitudinal cohort study using the Coronavirus Health Impact Survey (CRISIS) collected at 3 time points: an initial assessment in April 2020 (“April”), a reassessment 3 weeks later (“May”), and a 7-month follow-up in November 2020 (“November”). Online surveys were collected in the United States and the United Kingdom by a survey recruitment service with a final sample of 859 adults and 780 children (collected via parent report).

  12. e

    Cell host-response to infection with novel human coronavirus EMC predict...

    • ebi.ac.uk
    Updated May 2, 2013
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Michael Katze; Laurence Josset; Vineet Menachery; Lisa Gralinski; Sudhakar Agnihothram; Pavel Sova; Victoria Carter; Boyd Yount; Rachel Graham; Ralph Baric (2013). Cell host-response to infection with novel human coronavirus EMC predict potential antivirals and important differences with SARS-coronavirus. [Dataset]. https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-GEOD-45042
    Explore at:
    Dataset updated
    May 2, 2013
    Authors
    Michael Katze; Laurence Josset; Vineet Menachery; Lisa Gralinski; Sudhakar Agnihothram; Pavel Sova; Victoria Carter; Boyd Yount; Rachel Graham; Ralph Baric
    Description

    Differential expression was determined in Calu-3 cells between mock infected and infection with either Human coronavirus EMC and SARS coronavirus at different times post infection. Calu-3 2B4 cells were infected with Human Coronavirus EMC 2012 (HCoV-EMC) or mock infected. Samples were collected 0, 3, 7, 12, 18 and 24 hpi. There are 3 mock and 3 infected replicates for each time point, except for 12 hpi for which there are only 2 infected replicates (one replicate did not pass RNA quality check). There were no mock sampes at 18 hpi, and therefore infected samples at 18 hpi were compared with mocks at 24 hpi. For direct comparison with SARS-CoV infected cells, raw data from HCoV-EMC experiments were quantile normalized together with the SARS-CoV dataset (GEO Series accession number GSE33267).

  13. General Hospital Supplies (Hospital Supplies) - Global Market Analysis and...

    • store.globaldata.com
    Updated Jun 30, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2021). General Hospital Supplies (Hospital Supplies) - Global Market Analysis and Forecast Model (COVID-19 Market Impact) [Dataset]. https://store.globaldata.com/report/general-hospital-supplies-hospital-supplies-global-market-analysis-and-forecast-model-covid-19-market-impact/
    Explore at:
    Dataset updated
    Jun 30, 2021
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    General Hospital Supplies (Hospital Supplies) – Global Market Analysis and Forecast Model (COVID-19 Market Impact) is built to visualize quantitative market trends within Hospital Supplies therapeutic area. Read More

  14. e

    World Leaders on Covid-19: A text corpus of leaders' response and...

    • ore.exeter.ac.uk
    zip
    Updated Aug 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    L Brown; L Horvath; D Stevens (2025). World Leaders on Covid-19: A text corpus of leaders' response and personality trait predictions [Dataset]. http://doi.org/10.24378/exe.3123
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    University of Exeter
    Authors
    L Brown; L Horvath; D Stevens
    License

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

    Area covered
    World
    Description

    Text corpus and Big Five leadership traits as demonstrated in Brown, Horvath, and Stevens (2021) "Moonshots or a Cautious Take-Off? How the Big Five Leadership Traits Predict Covid Policy Response" (working paper).

  15. Forecast COVID-19 impact on total tourism expenditure in England H2 2021, by...

    • statista.com
    Updated Aug 5, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2021). Forecast COVID-19 impact on total tourism expenditure in England H2 2021, by region [Dataset]. https://www.statista.com/statistics/1256657/forecast-covid-19-impact-on-tourism-expenditure-by-region-england/
    Explore at:
    Dataset updated
    Aug 5, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    England
    Description

    According to a 2021 forecast, total tourism expenditure in England, including the spending of international and domestic overnight travelers, is expected to decrease by over ** billion British pounds in the second half of 2021 over the same period of 2019. As predicted, London would record the highest drop, with total tourism expenditure declining from **** million British pounds to around **** billion British pounds over the period considered.

  16. d

    Replication Data for: Dual Evolutionary Foundations of Political Ideology...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fischer, Kyle; Chaudhuri, Ananish; Atkinson, Quentin (2023). Replication Data for: Dual Evolutionary Foundations of Political Ideology Predict Divergent Responses to COVID-19 [Dataset]. http://doi.org/10.7910/DVN/LUFHIS
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Fischer, Kyle; Chaudhuri, Ananish; Atkinson, Quentin
    Description

    Political conservatives’ opposition to COVID-19 restrictions is puzzling given the well-documented links between conservatism and conformity, threat sensitivity, and pathogen aversion. We propose a resolution based on the Dual Foundations Theory of ideology, which holds that ideology comprises two dimensions, one reflecting trade-offs between threat-driven conformity and individualism, and another reflecting trade-offs between empathy-driven co-operation and competition. We test predictions derived from this theory in a UK sample using individuals’ responses to COVID-19, and widely-used measures of the two dimensions – ‘right-wing authoritarianism’ (RWA) and ‘social dominance orientation’ (SDO), respectively. Consistent with our predictions, we show that RWA but not SDO increased following the pandemic, and that high-RWA conservatives do, in fact, display more concerned, conformist, pro-lockdown attitudes, while high-SDO conservatives display less empathic, cooperative attitudes and are anti-lockdowns. This helps explain paradoxical prior results and highlights how a focus on unidimensional ideology can mask divergent motives across the ideological landscape.

  17. Coronavirus Disease 2019 (COVID-19) Analyst Consensus Drug Sales Forecast -...

    • store.globaldata.com
    Updated Dec 31, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2020). Coronavirus Disease 2019 (COVID-19) Analyst Consensus Drug Sales Forecast - Q3, 2020 [Dataset]. https://store.globaldata.com/report/coronavirus-disease-2019-covid-19-analyst-consensus-drug-sales-forecast-q3-2020/
    Explore at:
    Dataset updated
    Dec 31, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    This report contains a summary of the analyst consensus forecasts available in the GlobalData Pharma Intelligence Center Drug Sales and Analyst Consensus Database for the Indication COVID-19. Currently there are 23 drugs indicated for COVID-19 which have analyst consensus forecasts available. Read More

  18. Capnographs (Anesthesia and Respiratory Devices) - Global Market Analysis...

    • store.globaldata.com
    Updated Jun 30, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2021). Capnographs (Anesthesia and Respiratory Devices) - Global Market Analysis and Forecast Model (COVID-19 Market Impact) [Dataset]. https://store.globaldata.com/report/capnographs-anesthesia-and-respiratory-devices-global-market-analysis-and-forecast-model-covid-19-market-impact/
    Explore at:
    Dataset updated
    Jun 30, 2021
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    Capnographs (Anesthesia and Respiratory Devices) – Global Market Analysis and Forecast Model (COVID-19 Market Impact) is built to visualize quantitative market trends within Anesthesia and Respiratory Devices therapeutic area. Read More

  19. e

    Is there a serum proteome signature to predict mortality in severe COVID-19...

    • ebi.ac.uk
    • data.niaid.nih.gov
    Updated May 7, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Franziska Voellmy (2021). Is there a serum proteome signature to predict mortality in severe COVID-19 patients? [Dataset]. https://www.ebi.ac.uk/pride/archive/projects/PXD024707
    Explore at:
    Dataset updated
    May 7, 2021
    Authors
    Franziska Voellmy
    Variables measured
    Proteomics
    Description

    Here we recorded serum proteome profiles of 33 COVID-19 patients admitted to the ICU. We received, for most patients, blood samples just after admission and at two more later timepoints. We focused on serum proteins different in abundance between the group of survivors and non-survivors and observed that a rather small panel of about a dozen proteins were significantly different in abundance between these two groups. The four structurally and functionally related type-3 cystatins AHSG, FETUB, HRG and KNG1 were all more abundant in the survivors. The family of inter-α-trypsin inhibitors, ITIH1, ITIH2, ITIH3 and ITIH4, were all found to be differentially abundant in between survivors and non-survivors, whereby ITIH1 and ITIH2 were more abundant in the survivor group and ITIH3 and ITIH4 more abundant in the non-survivors. ITIH1/ITIH2 and ITIH3/ITIH4 also did show opposite trends in protein abundance during disease progression. This panel of eight proteins, complemented with a few more, may represent a panel for mortality risk assessment and eventually even for treatment, by administration of exogenous proteins possibly aiding survival. Such administration is not unprecedented, as administration of exogenous inter-α-trypsin inhibitors is already used in the treatment of patients with severe sepsis and Kawasaki disease. The mortality risk panel defined here is in excellent agreement with findings in two recent COVID-19 serum proteomics studies on independent cohorts, supporting our findings. This panel may not be unique for COVID-19, as some of the proteins here annotated as mortality risk factors have previously been annotated as mortality markers in aging and in other diseases caused by different pathogens, including bacteria.

  20. Coronary Stents (Cardiovascular) - Global Market Analysis and Forecast Model...

    • store.globaldata.com
    Updated Oct 31, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2021). Coronary Stents (Cardiovascular) - Global Market Analysis and Forecast Model (COVID-19 Market Impact) [Dataset]. https://store.globaldata.com/report/coronary-stents-cardiovascular-global-market-analysis-and-forecast-model-covid-19-market-impact/
    Explore at:
    Dataset updated
    Oct 31, 2021
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    Coronary Stents (Cardiovascular) – Global Market Analysis and Forecast Model (COVID-19 Market Impact) is built to visualize quantitative market trends within Cardiovascular Devices therapeutic area. Read More

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2024). Growth forecasts for retail sales pre and post-Coronavirus in the UK 2021, by sector [Dataset]. https://www.statista.com/statistics/1111013/pre-and-post-coronavirus-growth-forecasts-for-retail-uk/
Organization logo

Growth forecasts for retail sales pre and post-Coronavirus in the UK 2021, by sector

Explore at:
Dataset updated
Dec 15, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2020
Area covered
United Kingdom
Description

The coronavirus pandemic has caused massive shocks to the global economy and dampened previously projected growth scenarios worldwide. According to a recent study, clothing and footwear retail was predicted to suffer a **** percent decline annually in 2020. However, with the diminishing of the impact of the pandemic, in 2021 the sector is forecast to grow by **** percent. In total terms, the retail industry is expected to grow by *** percent, as opposed to the *** percent decline in 2020. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

Search
Clear search
Close search
Google apps
Main menu