13 datasets found
  1. UK daily COVID data - countries and regions

    • kaggle.com
    zip
    Updated Mar 26, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alberto Vidal (2024). UK daily COVID data - countries and regions [Dataset]. https://www.kaggle.com/datasets/albertovidalrod/uk-daily-covid-data-countries-and-regions
    Explore at:
    zip(1177117 bytes)Available download formats
    Dataset updated
    Mar 26, 2024
    Authors
    Alberto Vidal
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Dataset description

    Daily official UK Covid data. The data is available per country (England, Scotland, Wales and Northern Ireland) and for different regions in England. The different regions are split into two different files as part of the data is directly gathered by the NHS (National Health Service). The files that contain the word 'nhsregion' in their name, include data related to hospitals only, such as number of admissions or number of people in respirators. The files containing the word 'region' in their name, include the rest of the data, such as number of cases, number of vaccinated people or number of tests performed per day. The next paragraphs describe the columns for the different file types.

    Region files

    Files related to regions (word 'region' included in the file name) have the following columns: - "date": date in YYYY-MM-DD format - "area type": type of area covered in the file (region or nation) - "area name": name of area covered in the file (region or nation name) - "daily cases": new cases on a given date - "cum cases": cumulative cases - "new deaths 28days": new deaths within 28 days of a positive test - "cum deaths 28days": cumulative deaths within 28 days of a positive test - "new deaths_60days": new deaths within 60 days of a positive test - "cum deaths 60days": cumulative deaths within 60 days of a positive test - "new_first_episode": new first episodes by date - "cum_first_episode": cumulative first episodes by date - "new_reinfections": new reinfections by specimen data - "cum_reinfections": cumualtive reinfections by specimen data - "new_virus_test": new virus tests by date - "cum_virus_test": cumulative virus tests by date - "new_pcr_test": new PCR tests by date - "cum_pcr_test": cumulative PCR tests by date - "new_lfd_test": new LFD tests by date - "cum_lfd_test": cumulative LFD tests by date - "test_roll_pos_pct": percentage of unique case positivity by date rolling sum - "test_roll_people": unique people tested by date rolling sum - "new first dose": new people vaccinated with a first dose - "cum first dose": cumulative people vaccinated with a first dose - "new second dose": new people vaccinated with a first dose - "cum second dose": cumulative people vaccinated with a first dose - "new third dose": new people vaccinated with a booster or third dose - "cum third dose": cumulative people vaccinated with a booster or third dose

    Country files

    Files related to countries (England, Northern Ireland, Scotland and Wales) have the above columns and also: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max

    NHS Region files

    Files related to nhsregion (word 'nhsregion' included in the file name) have the following columns: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max

    It's worth noting that the dataset hasn't been cleaned and it needs cleaning. Also, different files have different null columns. This isn't an error in the dataset but the way different countries and regions report the data.

  2. Cumulative number of coronavirus cases in the UK as of January 2023

    • statista.com
    Updated Nov 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Cumulative number of coronavirus cases in the UK as of January 2023 [Dataset]. https://www.statista.com/statistics/1101958/cumulative-coronavirus-cases-in-the-uk/
    Explore at:
    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    In early-February 2020, the first cases of COVID-19 in the United Kingdom (UK) were confirmed. The number of cases in the UK increased significantly at the end of 2021. On January 13, 2023, the number of confirmed cases in the UK amounted to 24,243,393. COVID deaths among highest in Europe There were 202,157 confirmed coronavirus deaths in the UK as of January 13, 2023. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

    Current infection rate in Europe The current infection rate in the UK was 50 cases per 100,000 population in the last seven days as of January 16. San Marino had the highest seven day rate of infections in Europe at 336.

  3. Coronavirus (COVID-19) related deaths by occupation, England and Wales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jan 25, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2021). Coronavirus (COVID-19) related deaths by occupation, England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/causesofdeath/datasets/coronaviruscovid19relateddeathsbyoccupationenglandandwales
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jan 25, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Provisional counts of the number of deaths and age-standardised mortality rates involving the coronavirus (COVID-19), by occupational groups, for deaths registered between 9 March and 28 December 2020 in England and Wales. Figures are provided for males and females.

  4. Households' saving rate during COVID-19 in the UK Q1 2020-Q1 2021

    • statista.com
    Updated Feb 29, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    R. Hirschmann (2024). Households' saving rate during COVID-19 in the UK Q1 2020-Q1 2021 [Dataset]. https://www.statista.com/topics/7670/savings-during-coronavirus-covid-19-outbreak/
    Explore at:
    Dataset updated
    Feb 29, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    R. Hirschmann
    Area covered
    United Kingdom
    Description

    Household gross saving rate in the United Kingdom spiked during the second quarter of 2020, reaching 25.9 percent, nearly three times as high as in the first quarter of the year. This unprecedented increase is due to the coronavirus (COVID-19) outbreak and the resulting widespread lockdown and temporary business closures. a similar increase can be seen during the second generalized lockdown implemented during the first quarter of 2021.

  5. f

    R code for generating Figures 2, 3 and 4 and Table 1 and numbers used in...

    • rs.figshare.com
    txt
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jonathan M. Read; Jessica R. E. Bridgen; Derek A. T. Cummings; Antonia Ho; Chris P. Jewell (2023). R code for generating Figures 2, 3 and 4 and Table 1 and numbers used in main text. from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates [Dataset]. http://doi.org/10.6084/m9.figshare.14481984.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    The Royal Society
    Authors
    Jonathan M. Read; Jessica R. E. Bridgen; Derek A. T. Cummings; Antonia Ho; Chris P. Jewell
    License

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

    Description

    Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.

  6. f

    Data_Sheet_1_The Predictive Value of Myoglobin for COVID-19-Related Adverse...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Nov 18, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Xu, Qiang; Hou, Pan; Tu, Dingyuan; Zhao, Xianxian; Wu, Hong; Ma, Chaoqun; Bai, Yuan; Li, Pan; Guo, Zhifu; Gu, Jiawei (2021). Data_Sheet_1_The Predictive Value of Myoglobin for COVID-19-Related Adverse Outcomes: A Systematic Review and Meta-Analysis.PDF [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000868469
    Explore at:
    Dataset updated
    Nov 18, 2021
    Authors
    Xu, Qiang; Hou, Pan; Tu, Dingyuan; Zhao, Xianxian; Wu, Hong; Ma, Chaoqun; Bai, Yuan; Li, Pan; Guo, Zhifu; Gu, Jiawei
    Description

    Objective: Cardiac injury is detected in numerous patients with coronavirus disease 2019 (COVID-19) and has been demonstrated to be closely related to poor outcomes. However, an optimal cardiac biomarker for predicting COVID-19 prognosis has not been identified.Methods: The PubMed, Web of Science, and Embase databases were searched for published articles between December 1, 2019 and September 8, 2021. Eligible studies that examined the anomalies of different cardiac biomarkers in patients with COVID-19 were included. The prevalence and odds ratios (ORs) were extracted. Summary estimates and the corresponding 95% confidence intervals (95% CIs) were obtained through meta-analyses.Results: A total of 63 studies, with 64,319 patients with COVID-19, were enrolled in this meta-analysis. The prevalence of elevated cardiac troponin I (cTnI) and myoglobin (Mb) in the general population with COVID-19 was 22.9 (19–27%) and 13.5% (10.6–16.4%), respectively. However, the presence of elevated Mb was more common than elevated cTnI in patients with severe COVID-19 [37.7 (23.3–52.1%) vs.30.7% (24.7–37.1%)]. Moreover, compared with cTnI, the elevation of Mb also demonstrated tendency of higher correlation with case-severity rate (Mb, r = 13.9 vs. cTnI, r = 3.93) and case-fatality rate (Mb, r = 15.42 vs. cTnI, r = 3.04). Notably, elevated Mb level was also associated with higher odds of severe illness [Mb, OR = 13.75 (10.2–18.54) vs. cTnI, OR = 7.06 (3.94–12.65)] and mortality [Mb, OR = 13.49 (9.3–19.58) vs. cTnI, OR = 7.75 (4.4–13.66)] than cTnI.Conclusions: Patients with COVID-19 and elevated Mb levels are at significantly higher risk of severe disease and mortality. Elevation of Mb may serve as a marker for predicting COVID-19-related adverse outcomes.Prospero Registration Number:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020175133, CRD42020175133.

  7. Data from: Understanding the role of COVID-19 vaccination in all-cause...

    • tandf.figshare.com
    docx
    Updated Nov 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kiran K. Rai; Hannah Gowman; Cale S. Harrison; David C Gruben; Rebecca Butfield; Rosie Hulme; Hannah R. Volkman; Jennifer L. Nguyen; Jingyan Yang (2025). Understanding the role of COVID-19 vaccination in all-cause healthcare resource utilisation among adults with long covid in the Uk primary care setting: data from the 2022-2023 respiratory virus season [Dataset]. http://doi.org/10.6084/m9.figshare.30610622.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    Nov 13, 2025
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Kiran K. Rai; Hannah Gowman; Cale S. Harrison; David C Gruben; Rebecca Butfield; Rosie Hulme; Hannah R. Volkman; Jennifer L. Nguyen; Jingyan Yang
    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

    The role COVID-19 vaccination on healthcare resource utilization (HCRU) and cost remains unclear, especially during Omicron predominance and among high risk UK populations. A retrospective cohort study using UK The Health Improvement Network (THIN) primary care data included adults (≥18 years) with confirmed or suspected COVID-19 between September 2022- May 2023. Three cohorts were defined: Highest risk (eligible for two seasonal doses), High Risk (eligible for one dose), and All COVID-19 patients. Long COVID was identified as ≥ 1 symptom or diagnostic/referral code, ≥4 weeks post COVID-19 diagnosis. Inverse probability of treatment weighting assessed associations between vaccination status (yes/no and time since vaccination) and long COVID, HCRU, and costs. In both Risk Cohorts, COVID-19 vaccination was not associated with long COVID incidence. However, in the High Risk (n = 1,889) and All Patients cohorts (n = 8,507) outpatient specialist referrals were significantly lower in the 3–6-month post-vaccination group versus > 6 months (rate ratio: 0.28; 95% CI: 0.10-0.79, p 

  8. Inflation rate in the UK 2015-2025

    • statista.com
    Updated Oct 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Inflation rate in the UK 2015-2025 [Dataset]. https://www.statista.com/statistics/306648/inflation-rate-consumer-price-index-cpi-united-kingdom-uk/
    Explore at:
    Dataset updated
    Oct 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Aug 2025
    Area covered
    United Kingdom
    Description

    The UK inflation rate was 3.8 percent in September 2025, unchanged from the previous two months, and the fastest rate of inflation since January 2024. Between September 2022 and March 2023, the UK experienced seven months of double-digit inflation, which peaked at 11.1 percent in October 2022. Due to this long period of high inflation, UK consumer prices have increased by over 20 percent in the last three years. As of the most recent month, prices were rising fastest in the education sector, at 7.5 percent, with prices increasing at the slowest rate in the clothing and footwear sector. The Cost of Living Crisis High inflation is one of the main factors behind the ongoing Cost of Living Crisis in the UK, which, despite subsiding somewhat in 2024, is still impacting households going into 2025. In December 2024, for example, 56 percent of UK households reported their cost of living was increasing compared with the previous month, up from 45 percent in July, but far lower than at the height of the crisis in 2022. After global energy prices spiraled that year, the UK's energy price cap increased substantially. The cap, which limits what suppliers can charge consumers, reached 3,549 British pounds per year in October 2022, compared with 1,277 pounds a year earlier. Along with soaring food costs, high-energy bills have hit UK households hard, especially lower income ones that spend more of their earnings on housing costs. As a result of these factors, UK households experienced their biggest fall in living standards in decades in 2022/23. Global inflation crisis causes rapid surge in prices The UK's high inflation, and cost of living crisis in 2022 had its origins in the COVID-19 pandemic. Following the initial waves of the virus, global supply chains struggled to meet the renewed demand for goods and services. Food and energy prices, which were already high, increased further in 2022. Russia's invasion of Ukraine in February 2022 brought an end to the era of cheap gas flowing to European markets from Russia. The war also disrupted global food markets, as both Russia and Ukraine are major exporters of cereal crops. As a result of these factors, inflation surged across Europe and in other parts of the world, but typically declined in 2023, and approached more usual levels by 2024.

  9. Monthly bank rate in the UK 2012-2025

    • statista.com
    Updated Nov 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Monthly bank rate in the UK 2012-2025 [Dataset]. https://www.statista.com/statistics/889792/united-kingdom-uk-bank-base-rate/
    Explore at:
    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2012 - Oct 2025
    Area covered
    United Kingdom
    Description

    August 2024 marked a significant shift in the UK's monetary policy, as it saw the first reduction in the official bank base interest rate since August 2023. This change came after a period of consistent rate hikes that began in late 2021. In a bid to minimize the economic effects of the COVID-19 pandemic, the Bank of England cut the official bank base rate in March 2020 to a record low of *** percent. This historic low came just one week after the Bank of England cut rates from **** percent to **** percent in a bid to prevent mass job cuts in the United Kingdom. It remained at *** percent until December 2021 and was increased to one percent in May 2022 and to **** percent in October 2022. After that, the bank rate increased almost on a monthly basis, reaching **** percent in August 2023. It wasn't until August 2024 that the first rate decrease since the previous year occurred, signaling a potential shift in monetary policy. Why do central banks adjust interest rates? Central banks, including the Bank of England, adjust interest rates to manage economic stability and control inflation. Their strategies involve a delicate balance between two main approaches. When central banks raise interest rates, their goal is to cool down an overheated economy. Higher rates curb excessive spending and borrowing, which helps to prevent runaway inflation. This approach is typically used when the economy is growing too quickly or when inflation is rising above desired levels. Conversely, when central banks lower interest rates, they aim to encourage borrowing and investment. This strategy is employed to stimulate economic growth during periods of slowdown or recession. Lower rates make it cheaper for businesses and individuals to borrow money, which can lead to increased spending and investment. This dual approach allows central banks to maintain a balance between promoting growth and controlling inflation, ensuring long-term economic stability. Additionally, adjusting interest rates can influence currency values, impacting international trade and investment flows, further underscoring their critical role in a nation's economic health. Recent interest rate trends Between 2021 and 2025, most advanced and emerging economies experienced a period of regular interest rate hikes. This trend was driven by several factors, including persistent supply chain disruptions, high energy prices, and robust demand pressures. These elements combined to create significant inflationary trends, prompting central banks to raise rates to temper spending and borrowing. However, in 2024, a shift began to occur in global monetary policy. The European Central Bank (ECB) was among the first major central banks to reverse this trend by cutting interest rates. This move signaled a change in approach aimed at addressing growing economic slowdowns and supporting growth.

  10. u

    COVID-19 Lockdowns, Mental Health and Wellbeing in Undergraduate Students,...

    • datacatalogue.ukdataservice.ac.uk
    Updated Nov 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Griffiths, A, Swansea University; Harrad, R, Swansea University; Jefferies, L, Swansea University (2023). COVID-19 Lockdowns, Mental Health and Wellbeing in Undergraduate Students, 2020-2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-856719
    Explore at:
    Dataset updated
    Nov 10, 2023
    Authors
    Griffiths, A, Swansea University; Harrad, R, Swansea University; Jefferies, L, Swansea University
    Area covered
    United Kingdom
    Description

    The COVID-19 pandemic has had a substantial impact on mental health; because students are particularly vulnerable to loneliness, isolation, stress and unhealthy lifestyle choices, their mental health and wellbeing may potentially be more severely impacted by lockdown measures than the general population. This study assessed the mental health and wellbeing of UK undergraduate students during and after the lockdowns associated with the COVID-19 pandemic. Data were collected via online questionnaire at 3 time points – during the latter part of the first wave of the pandemic (spring/summer 2020; n=46) while stringent lockdown measures were still in place but gradually being relaxed; during the second wave of the pandemic (winter 2020-21; n=86) while local lockdowns were in place across the UK; and during the winter of 2021-22 (n=77), when infection rates were high but no lockdown measures were in place. Stress was found to most strongly predict wellbeing and mental health measures during the two pandemic waves. Other substantial predictors were diet quality and intolerance of uncertainty. Positive wellbeing was the least well accounted for of our outcome variables. Conversely, we found that depression and anxiety were higher during winter 2021-22 (no lockdowns) than winter 2020-21 (under lockdown). This may be due to the high rates of infection over that period and the effects of COVID-19 infection itself on mental health. This suggests that, as significant as the effects of lockdowns were on the wellbeing of the nation, not implementing lockdown measures could potentially have been even more detrimental for mental health.

  11. GDP growth forecast UK 2019-2029

    • statista.com
    Updated Apr 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2025). GDP growth forecast UK 2019-2029 [Dataset]. https://www.statista.com/topics/6500/the-british-economy/
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    In 2024, the gross domestic product (GDP) of the United Kingdom grew by 0.9 percent and is expected to grow by just one percent in 2025 and by 1.9 percent in 2026. Growth is expected to slow down to 1.8 percent in 2027, and then grow by 1.7, and 1.8 percent in 2027 and 2028 respectively. The sudden emergence of COVID-19 in 2020 and subsequent closure of large parts of the economy were the cause of the huge 9.4 percent contraction in 2020, with the economy recovering somewhat in 2021, when the economy grew by 7.6 percent. UK growth downgraded in 2025 Although the economy is still expected to grow in 2025, the one percent growth anticipated in this forecast has been halved from two percent in October 2024. Increased geopolitical uncertainty as well as the impact of American tariffs on the global economy are some of the main reasons for this mark down. The UK's inflation rate for 2025 has also been revised, with an annual rate of 3.2 percent predicated, up from 2.6 percent in the last forecast. Unemployment is also anticipated to be higher than initially thought, with the annual unemployment rate likely to be 4.5 percent instead of 4.1 percent. Long-term growth problems In the last two quarters of 2023, the UK economy shrank by 0.1 percent in Q3 and by 0.3 percent in Q4, plunging the UK into recession for the first time since the COVID-19 pandemic. Even before that last recession, however, the UK economy has been struggling with weak growth. Although growth since the pandemic has been noticeably sluggish, there has been a clear long-term trend of declining growth rates. The economy has consistently been seen as one of the most important issues to people in Britain, ahead of health, immigration and the environment. Achieving strong levels of economic growth is one of the main aims of the Labour government elected in 2024, although after almost one year in power it has so far proven elusive.

  12. f

    Data_Sheet_1_Combination of Chinese herbal medicine and conventional western...

    • figshare.com
    pdf
    Updated Jul 17, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lei Tong; Zhenyu Ma; Yixiao Zhou; Shuping Yang; Yalin Yang; Jingran Luo; Junbo Huang; Fucai Wang (2023). Data_Sheet_1_Combination of Chinese herbal medicine and conventional western medicine for coronavirus disease 2019: a systematic review and meta-analysis.PDF [Dataset]. http://doi.org/10.3389/fmed.2023.1175827.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 17, 2023
    Dataset provided by
    Frontiers
    Authors
    Lei Tong; Zhenyu Ma; Yixiao Zhou; Shuping Yang; Yalin Yang; Jingran Luo; Junbo Huang; Fucai Wang
    License

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

    Description

    ObjectiveThis study aimed to assess the efficacy and safety of Chinese herbal medicine (CHM) plus conventional western medicine (CWM) in comparison with CWM against COVID-19.MethodsWe searched eight electronic databases and three trial registers spanning from January 1, 2020 to May 18, 2023. We included randomized controlled trials (RCTs) comparing the effectiveness and safety of CHM plus CWM and CWM against COVID-19 in our study. The Cochrane Risk of Bias tool 2.0 (RoB2) was applied to evaluate the methodological quality of the included RCTs. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system was employed to assess the certainty of evidence. Statistical analysis was implemented in R version 4.1.2.ResultsOur study included 50 RCTs involving 11,624 patients. In comparison with sole CWM, CHM plus CWM against COVID-19 significantly enhanced clinical effective rate (RR = 1.18, 95% CI [1.13, 1.22]), improved chest image (RR = 1.19, 95% CI [1.11, 1.28]), inhibited clinical deterioration (RR = 0.45, 95% CI [0.33, 0.60]), lowered mortality (RR = 0.53, 95% CI [0.40, 0.70]), and reduced the total score of TCM syndrome (SMD = −1.24, 95% CI [−1.82, −0.66]). SARS-CoV-2 nucleic acid conversion time (MD = −2.66, 95% CI [−3.88, −1.44]), duration of hospitalization (MD = −2.36, 95% CI [−3.89, −0.82]), and clinical symptom (fever, cough, fatigue, and shortness of breath) recovery times were shorter in CHM plus CWM groups than in CWM groups. Further, CHM plus CWM treatment was more conducive for some laboratory indicators returning to normal levels. No statistical difference was found in the incidence of total adverse reactions between the two groups (RR = 0.97, 95% CI [0.88, 1.07]). We assessed the risk of bias for 246 outcomes, and categorized 55 into “low risk”, 151 into “some concerns”, and 40 into “high risk”. Overall, the certainty of the evidence ranged from moderate to very low.ConclusionsPotentially, CHM listed in this study, as an adjunctive therapy, combining with CWM is an effective and safe therapy mode for COVID-19. However, more high-quality RCTs are needed to draw more accurate conclusions.Clinical trial registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=293963.

  13. Government borrowing as a percentage of GDP in the UK 1900-2030

    • statista.com
    Updated Apr 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2025). Government borrowing as a percentage of GDP in the UK 1900-2030 [Dataset]. https://www.statista.com/topics/6500/the-british-economy/
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    The government of the United Kingdom borrowed approximately 2.6 percent worth of its GDP in the 2024/25 financial year, compared with 2.3 percent in 2023/24. In 2020/21, government borrowing reached 11.6 percent of GDP, due to increased financial support to public services during the COVID-19 pandemic, combined with reduced revenue because of societal lockdowns.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Alberto Vidal (2024). UK daily COVID data - countries and regions [Dataset]. https://www.kaggle.com/datasets/albertovidalrod/uk-daily-covid-data-countries-and-regions
Organization logo

UK daily COVID data - countries and regions

Daily UK Covid data from the different countries & different regions in England

Explore at:
zip(1177117 bytes)Available download formats
Dataset updated
Mar 26, 2024
Authors
Alberto Vidal
License

Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically

Area covered
United Kingdom
Description

Dataset description

Daily official UK Covid data. The data is available per country (England, Scotland, Wales and Northern Ireland) and for different regions in England. The different regions are split into two different files as part of the data is directly gathered by the NHS (National Health Service). The files that contain the word 'nhsregion' in their name, include data related to hospitals only, such as number of admissions or number of people in respirators. The files containing the word 'region' in their name, include the rest of the data, such as number of cases, number of vaccinated people or number of tests performed per day. The next paragraphs describe the columns for the different file types.

Region files

Files related to regions (word 'region' included in the file name) have the following columns: - "date": date in YYYY-MM-DD format - "area type": type of area covered in the file (region or nation) - "area name": name of area covered in the file (region or nation name) - "daily cases": new cases on a given date - "cum cases": cumulative cases - "new deaths 28days": new deaths within 28 days of a positive test - "cum deaths 28days": cumulative deaths within 28 days of a positive test - "new deaths_60days": new deaths within 60 days of a positive test - "cum deaths 60days": cumulative deaths within 60 days of a positive test - "new_first_episode": new first episodes by date - "cum_first_episode": cumulative first episodes by date - "new_reinfections": new reinfections by specimen data - "cum_reinfections": cumualtive reinfections by specimen data - "new_virus_test": new virus tests by date - "cum_virus_test": cumulative virus tests by date - "new_pcr_test": new PCR tests by date - "cum_pcr_test": cumulative PCR tests by date - "new_lfd_test": new LFD tests by date - "cum_lfd_test": cumulative LFD tests by date - "test_roll_pos_pct": percentage of unique case positivity by date rolling sum - "test_roll_people": unique people tested by date rolling sum - "new first dose": new people vaccinated with a first dose - "cum first dose": cumulative people vaccinated with a first dose - "new second dose": new people vaccinated with a first dose - "cum second dose": cumulative people vaccinated with a first dose - "new third dose": new people vaccinated with a booster or third dose - "cum third dose": cumulative people vaccinated with a booster or third dose

Country files

Files related to countries (England, Northern Ireland, Scotland and Wales) have the above columns and also: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max

NHS Region files

Files related to nhsregion (word 'nhsregion' included in the file name) have the following columns: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max

It's worth noting that the dataset hasn't been cleaned and it needs cleaning. Also, different files have different null columns. This isn't an error in the dataset but the way different countries and regions report the data.

Search
Clear search
Close search
Google apps
Main menu