11 datasets found
  1. Cumulative number of coronavirus (COVID-19) cases in Ireland since February...

    • statista.com
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    Statista, Cumulative number of coronavirus (COVID-19) cases in Ireland since February 2020 [Dataset]. https://www.statista.com/statistics/1107082/cumulative-coronavirus-cases-ireland/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Ireland, Ireland
    Description

    In early-March, 2020, the first case of the coronavirus (COVID-19) in Ireland was confirmed in Dublin. As of January 12, 2023, the number of cases in Ireland has risen to 1,697,775.

    There were over 270 million coronavirus cases in Europe as of January 13, 2023, with France currently the worst affected country. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  2. Number of coronavirus (COVID-19) cases in Ireland since February 2020

    • statista.com
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    Statista, Number of coronavirus (COVID-19) cases in Ireland since February 2020 [Dataset]. https://www.statista.com/statistics/1107064/coronavirus-cases-development-ireland/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Ireland
    Description

    In early-March, 2020, the first case of the coronavirus (COVID-19) in Ireland was confirmed in Dublin. The number of cases in Ireland has since risen to 1,697,775 with 490 new cases reported on January 12, 2023.

    Current situation The rate of cases in Ireland over the last seven days is 80 cases per 100,000. While San Marino was the worst affected country, recording a seven-day rate of 336, as of January 16, 2023.

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

  3. Z

    Data from: What is the clinical course of patients hospitalised for COVID-19...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Sep 5, 2020
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    Lambert John S (2020). What is the clinical course of patients hospitalised for COVID-19 treatment Ireland: a retrospective cohort study in Dublin's North Inner City (the 'Mater 100') [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4015116
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    Dataset updated
    Sep 5, 2020
    Dataset provided by
    Connolly Stephen P
    O' Callaghan Dermott
    Marsh Brian
    Lambert John S
    O'Connor Eileen
    Cullen Walter
    Cotter Aoife
    McHugh Tina
    Avramovic Gordana
    Gaine Sean
    Cronin Colm
    Doran Peter
    Brazil Eamonn
    Tara Mcginty
    O' Kelly Brendan
    License

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

    Area covered
    Ireland, Dublin, Ireland
    Description

    Background: Since March 2020, Ireland has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). While several cohorts from China have been described, there is little data describing the epidemiological and clinical characteristics of patients with COVID-19 in Ireland. To improve our understanding of this emerging infection we carried out a retrospective review of patient data to examine the clinical characteristics of patients admitted for COVID-19 hospital treatment.

    Methods: Demographic, clinical and laboratory data on the first 100 adult patients admitted to Mater Misericordiae University Hospital (MMUH) for in-patient COVID-19 treatment after onset of the outbreak in March 2020 was extracted from clinical and administrative records.

    Results: Fifty-eight per cent were male, 63% were Irish nationals, and median age was 45 years (interquartile range [IQR] =34-64 years). Patients had symptoms for a median of five days before diagnosis (IQR=2.5-7 days), most commonly cough (72%), fever (65%), dyspnoea (37%), fatigue (28%), myalgia (27%) and headache (24%). Of all cases, 54 had at least one pre-existing chronic illness (most commonly hypertension, diabetes mellitus or asthma). At initial assessment, the most common abnormal findings were: C-reactive protein >7.0mg/L (74%), ferritin >247μg/L (women) or >275μg/L (men) (62%), D-dimer >0.5μg/dL (62%), chest imaging (59%), NEWS Score (modified) of ≥3 (55%) and heart rate >90/min (51%). Twenty-seven required supplemental oxygen, of which 17 were admitted to the intensive care unit - 14 requiring ventilation. Forty received antiviral treatment (most commonly hydroxychloroquine or lopinavir/ritonavir). Four died, 17 were admitted to intensive care, and 74 were discharged home, with nine days the median hospital stay (IQR=6-11).

    Conclusion: Our findings reinforce the emerging consensus of COVID-19 as an acute life-threatening disease and highlights, the importance of laboratory (ferritin, C-reactive protein, D-dimer) and radiological parameters, in addition to clinical parameters. Further cohort studies involving larger samples followed longitudinally are a priority.

  4. o

    Data from: Study Protocol: Prospective, observational, cohort study of...

    • explore.openaire.eu
    Updated Sep 4, 2020
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    Walter Cullen; Gordana Avramovic; John Broughan; Mary-Carmel Burke; Aoife Cotter; Des Crowley; Joanne Downey; Paul Duggan; Ronan Fawsitt; Allys Guerandel; Eilis Hennessy; Cecily Kelleher; Gerald Mills; Geoff McCombe; Tina McHugh; Eileen O'Connor; Carla Perrotta; John S Lambert1 (2020). Study Protocol: Prospective, observational, cohort study of COVID-19 in General Practice (North Dublin COVID-19 Cohort ['ANTICIPATE'] Study) [Dataset]. http://doi.org/10.5281/zenodo.4015176
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    Dataset updated
    Sep 4, 2020
    Authors
    Walter Cullen; Gordana Avramovic; John Broughan; Mary-Carmel Burke; Aoife Cotter; Des Crowley; Joanne Downey; Paul Duggan; Ronan Fawsitt; Allys Guerandel; Eilis Hennessy; Cecily Kelleher; Gerald Mills; Geoff McCombe; Tina McHugh; Eileen O'Connor; Carla Perrotta; John S Lambert1
    Area covered
    Northside, Dublin
    Description

    Abstract Background: It is accepted that COVID-19 will have considerable long-term consequences, especially on people’s mental and physical health and wellbeing. Although the impacts on local communities have been immense, there remains little data on long term outcomes among patients with COVID-19 who were managed in general practice and primary care. This study seeks to address this knowledge gap by examining how the COVID-19 pandemic has impacted the medium and long-term health and wellbeing of patients attending general practice, especially their mental health and wellbeing. Methods: The study will be conducted at 12 general practices in the catchment area of the Mater Misericordiae University Hospital, i.e. the North Dublin area, an area which has experienced an especially high COVID-19 incidence. Practices will be recruited from the professional networks of the research team. A member of the general practice team will be asked to identify patients of the practice who attended the practice after 16/3/20 with a confirmed or presumptive diagnosis of COVID-19 infection. Potential participants will be provided with information on the study by the clinical team. Data will be collected on those patients who consent to participate by means of an interviewer-administered questionnaire and review of clinical records. Data will be collected on health (especially mental health) and wellbeing, quality of life, health behaviours, health service utilisation, and wider impacts of COVID-19 at recruitment and at two follow up time points (6, 12 months). Deliverables: The project involves collaboration with Ireland’s Health Service Executive, Ireland East Hospital Group, and the Mater Misericordiae University Hospital, Dublin. The study is funded by the Health Research Board. Findings will inform health policies that attenuate the adverse impacts of COVID-19 on population mental health and health generally.

  5. Data from: Perspectives and experiences of Covid-19: Two Irish studies of...

    • zenodo.org
    • data.niaid.nih.gov
    bin, pdf
    Updated Jul 16, 2024
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    Catarina Leitão; Catarina Leitão; Jefrey Shumba; Marian Quinn; Jefrey Shumba; Marian Quinn (2024). Perspectives and experiences of Covid-19: Two Irish studies of families in disadvantaged communities [Dataset]. http://doi.org/10.5281/zenodo.6647761
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    bin, pdfAvailable download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Catarina Leitão; Catarina Leitão; Jefrey Shumba; Marian Quinn; Jefrey Shumba; Marian Quinn
    License

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

    Description

    Data files related to the manuscript Perspectives and experiences of Covid-19: Two Irish studies of families in disadvantaged communities. The manuscript includes two studies. The following materials are shared below.

    Study 1:

    - Qualitative data (Microsoft Office Excel file)

    - Codebook for coding the qualitative data developed through content analysis (pdf file)

    Study 2:

    - Qualitative data (Microsoft Office Excel file)

    Data are named using the following naming convention: Project acronym_Date (YYYYMMDD)_Study_Type of data_Type of participant_Version number of the file.

    Both studies in the manuscript were developed by the Childhood Development Initiative (CDI), Dublin, Ireland. Study 1 was conducted within the project PEAR_EC, that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 890925. Study 2 was conducted within the Child Poverty research project, funded by Tusla under the Area Based Childhood funding and the Child and Youth Participation Initiatives grant.

  6. Covid-19 Linked Data Frontend - Dataset - data.gov.ie

    • data.gov.ie
    Updated Apr 19, 2020
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    data.gov.ie (2020). Covid-19 Linked Data Frontend - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/covid-19-linked-data-frontend
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    Dataset updated
    Apr 19, 2020
    Dataset provided by
    data.gov.ie
    License

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

    Description

    Open Data Unit Department of Public Expenditure Infrastructure Public Service Reform and Digitalisation, 4th Floor, St. Stephen’s Green House, Earlsfort Terrace, D02 PH42 Dublin 2 Ireland.

  7. Z

    Data from: Mental health and alcohol use among patients attending a...

    • data.niaid.nih.gov
    Updated Mar 3, 2022
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    John S Lambert (2022). Mental health and alcohol use among patients attending a post-COVID-19 follow-up clinic: A cohort study. [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6138080
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    Dataset updated
    Mar 3, 2022
    Dataset provided by
    Brendan O'Kelly
    Geoff McCombe
    John Broughan
    Mary Higgins
    John S Lambert
    James Woo
    Shannon Glaspy
    Louise Vidal
    Tina McHugh
    Ronan Fawsitt
    Gordana Avramovic
    Walter Cullen
    License

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

    Description

    Study dataset

    Abstract

    Background: Ongoing mental health problems following COVID-19 infection warrant greater examination. This study aimed to investigate psychiatric symptoms and problematic alcohol use among Long COVID patients.

    Methods: The study was conducted at the Mater Misericordiae University Hospital’s post-COVID-19 follow-up clinic in Dublin, Ireland. A prospective cohort study design was used encompassing assessment of patients’ outcomes at 2-4 months following an initial clinic visit (Time 1), and 7–14-month follow-up (Time 2). Outcomes regarding participants’ demographics, acute COVID-19 healthcare use, mental health, and alcohol use were examined.

    Results: The baseline sample’s (n = 153) median age = 43.5yrs (females = 105 (68.6%)). Sixty-seven of 153 patients (43.8%) were admitted to hospital with COVID-19, 9/67 (13.4%) were admitted to ICU, and 17/67 (25.4%) were readmitted to hospital following an initial COVID-19 stay. Sixteen of 67 (23.9%) visited a GP within seven days of hospital discharge, and 26/67 (38.8%) did so within 30 days. Seventeen of 153 participants (11.1%) had a pre-existing affective disorder. The prevalence of clinical range depression, anxiety, and PTSD scores at Time 1 and Time 2 (n = 93) ranged from 12.9% (Time 1 anxiety) to 22.6% (Time 1 PTSD). No statistically significant differences were observed between Time 1 and Time 2 depression, anxiety, and PTSD scores. Problematic alcohol use was common at Time 1 (45.5%) and significantly more so at Time 2 (71.8%). Clinical range depression, anxiety, and PTSD scores were significantly more frequent among acute COVID-19 hospital admission and GP attendance (30 days) participants, as well as among participants with lengthy ICU stays, and those with a previous affective disorder diagnosis.

    Conclusions: Ongoing psychiatric symptoms and problematic alcohol use in Long COVID populations are a concern and these issues may be more common among individuals with severe acute COVID-19 infection and /or pre-existing mental illness.

  8. WCRP CMIP6 DAMIP EC-Earth-Consortium EC-Earth3 ssp245-covid r25i1p1f2 Amon...

    • wdc-climate.de
    Updated Apr 17, 2023
    + more versions
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    EC-Earth Consortium (EC-Earth) (2023). WCRP CMIP6 DAMIP EC-Earth-Consortium EC-Earth3 ssp245-covid r25i1p1f2 Amon tas gr v20201104 [Dataset]. https://www.wdc-climate.de/ui/entry?acronym=C6_4417365
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    Dataset updated
    Apr 17, 2023
    Dataset provided by
    World Data Centerhttp://www.icsu-wds.org/
    Authors
    EC-Earth Consortium (EC-Earth)
    License

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

    Time period covered
    Jan 16, 2020 - Dec 16, 2024
    Area covered
    Variables measured
    air_temperature
    Description

    [ Derived from parent entry - See data hierarchy tab ]

    These data include all datasets published for 'CMIP6.DAMIP.EC-Earth-Consortium.EC-Earth3.ssp245-covid' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The EC Earth 3.3 climate model, released in 2019, includes the following components: atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. The model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.

    Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated.

  9. f

    Most disrupted services, EMERGE 2021.

    • plos.figshare.com
    xls
    Updated Jul 1, 2024
    + more versions
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    Adam Shanley; Kate O’Donnell; Peter Weatherburn; John Gilmore; T. Charles Witzel (2024). Most disrupted services, EMERGE 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0306280.t003
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    xlsAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Adam Shanley; Kate O’Donnell; Peter Weatherburn; John Gilmore; T. Charles Witzel
    License

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

    Description

    BackgroundIn the Republic of Ireland, the COVID-19 crisis led to sexual health service closures while clinical staff were redeployed to the pandemic response. Gay, bisexual and other men who have sex with men (gbMSM) face pre-existing sexual health inequalities which may have been exacerbated. The aim of this study is to understand sexual health service accessibility for gbMSM in Ireland during the COVID-19 crisis.MethodsEMERGE recruited 980 gbMSM in Ireland (June-July 2021) to an anonymous online survey investigating well-being and service access through geo-location sexual networking apps (Grindr/Growlr), social media (Facebook/Instagram/Twitter) and collaborators. We fit multiple regression models reporting odds ratios (ORs) to understand how demographic and behavioural characteristics (age, sexual orientation, HIV testing history/status, region of residence, region of birth and education) were associated with ability to access services.ResultsOf the respondents, 410 gbMSM accessed sexual health services with some or no difficulty and 176 attempted but were unable to access services during the COVID-19 crisis. A further 382 gbMSM did not attempt to access services and were excluded from this sample and analysis.Baseline: mean age 35.4 years, 88% gay, 83% previously tested for HIV, 69% Dublin-based, 71% born in Ireland and 74% with high level of education.In multiple regression, gbMSM aged 56+ years (aOR = 0.38, 95%CI:0.16, 0.88), not previously tested for HIV (aOR = 0.46, 95%CI:0.23, 0.93) and with medium and low education (aOR = 0.55 95%CI:0.35, 0.85) had lowest odds of successfully accessing services.GbMSM with HIV were most likely to be able to access services successfully (aOR = 2.68 95%CI:1.83, 6.08).Most disrupted services were: STI testing, HIV testing and PrEP.ConclusionsService access difficulties were found to largely map onto pre-existing sexual health inequalities for gbMSM. Future service development efforts should prioritise (re)engaging older gbMSM, those who have not previously tested for HIV and those without high levels of education.

  10. Total investment in commercial property market in Dublin 2013-2021

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Total investment in commercial property market in Dublin 2013-2021 [Dataset]. https://www.statista.com/statistics/530217/commercial-property-market-investment-volume-dublin-ireland-europe/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ireland, Dublin
    Description

    The investment volume in the commercial property market in Dublin, Ireland fluctuated between 2013 and 2021. It can be seen that in 2019, the commercial property investment volume reached **** billion euros but declined significantly in the following two years. In 2021, investment turnover amounted to *** billion euros.

    The coronavirus (COVID-19) pandemic had a major impact on the commercial real estate sector, affecting investment activity across most countries in Europe.

  11. Travel and tourism's direct contribution to GDP in Dublin 2019-2022

    • statista.com
    Updated Nov 5, 2024
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    Statista (2024). Travel and tourism's direct contribution to GDP in Dublin 2019-2022 [Dataset]. https://www.statista.com/statistics/1421492/travel-tourism-gdp-direct-contribution-dublin-ireland/
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    Dataset updated
    Nov 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ireland
    Description

    A 2023 study analyzed the direct contribution of travel and tourism to Dublin's gross domestic product (GDP). After dropping to just above one billion euros in 2020 due to the onset of the coronavirus (COVID-19) pandemic, these industries' direct contribution to GDP in the city was forecast to reach an estimated 3.8 billion euros in 2022.

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

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Statista, Cumulative number of coronavirus (COVID-19) cases in Ireland since February 2020 [Dataset]. https://www.statista.com/statistics/1107082/cumulative-coronavirus-cases-ireland/
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Cumulative number of coronavirus (COVID-19) cases in Ireland since February 2020

Explore at:
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
Ireland, Ireland
Description

In early-March, 2020, the first case of the coronavirus (COVID-19) in Ireland was confirmed in Dublin. As of January 12, 2023, the number of cases in Ireland has risen to 1,697,775.

There were over 270 million coronavirus cases in Europe as of January 13, 2023, with France currently the worst affected country. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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