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.

Ireland recorded 8905 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Ireland reported 1711233 Coronavirus Cases. This dataset includes a chart with historical data for Ireland Coronavirus Deaths.

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.

In past 24 hours, Ireland, Europe had N/A new cases, N/A deaths and N/A recoveries.

COVID-19 NOCA ICUBIS Historic Time Series. Published by Tailte Éireann. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Please see FAQ for latest information on COVID-19 Data Hub Data Flows: https://covid-19.geohive.ie/pages/helpfaqs. Notice: See the section What impact has the cyber-attack of May 2021 on the HSE IT systems had on reporting of COVID-19 data on the Data Hub? in the FAQ for information about issues in data from May 2021.** Due to the ongoing disruption to the HSE IT systems, until further notice the updates for this Open Data service will be provided once daily. These fields are 'nCovidConf' (ncovidconf), 'nDischCovidConf' (ndischcovidconf) and 'nAdmitCovidConf' (adcconf). **Dataset on COVID-19 patients in Intensive Care Units in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of all public and private ICU/HDU hospitals (including surge units). Data has been provided by the National Office of Clinical Audit (NOCA) ICU Bed Information System (ICU-BIS).This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub. ...

Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) as reported by the Department of Health in Ireland. This includes new cases diagnosed per day and cumulative cases, as well as cases across age groups. The latter also include population estimates by age group for 2019 from Ireland's Central Statistics Office, in order to express cases per million population.

For the files YYYYMMDD_covid_ie_age_groups.csv, variable descriptions are as follows:

• age_group: Age groups, in years
• cases: Total cases of COVID-19 diagnosed in Ireland by age group, as per the Department of Health
• pop_estimate: National population estimates by age group for 2019 in Ireland, as per the Central Statistics Office (Table 7 https://www.cso.ie/en/releasesandpublications/er/pme/populationandmigrationestimatesapril2019/), expressed in thousands.
• cases_per_million: Cases of COVID-19 diagnosed in Ireland by age group, expressed per 1 million individuals

For the files YYYYMMDD_covid_ie_daily_cases, variable descriptions are as follows:

• date: Date, in DD-MM-YYYY format
• daily_cases: New cases of COVID-19 diagnosed per day in Ireland, as per the Department of Health (https://www.gov.ie/en/news/7e0924-latest-updates-on-covid-19-coronavirus/)
• cumulative_cases: Cumulative number of COVID-19 cases in Ireland
• percent_daily_increase: New cases of COVID-19 diagnosed per day in Ireland as a percentage of cumulative number of cases up to that date.

Please see FAQ for latest information on COVID-19 Data Hub data flows: https://covid-19.geohive.ie/pages/helpfaqsNotice:Due to the current high levels of cases, the update of the Local Electoral Area (LEA) data is currently paused, given the increased reporting time and prioritisation of resources during this surge period. Updates will resume as early as possible.Please refer to the FAQ page for more information.14 Day Incidence of confirmed COVID-19 cases by LEA.This hosted feature view provides a visualisation of the 14 Day Incidence rate per 100k population of COVID-19 cases at the Local Electoral Area (LEA) level across Ireland. In total, there are 166 LEA's across Ireland.Please note: For confidentiality reasons, following consultation with the CSO, all LEA's with values below 5 have been suppressed to 'Less than 5'. Where a rate per 100k is set to 'Less than 5' it means that the LEA has a 14 Day incidence below 5 and its value has been suppressed to show 'Less than 5'. This is not an indication of zero (0) confirmed cases. For a proportion of notified COVID-19 cases, their location on the map may reflect their place of work rather than their home address. Confirmed cases have been geo-coded and allocated to Local Electoral Areas (LEA's) by the Health Intelligence Unit (HIU) at the HSE.This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Ordnance Survey Ireland (OSi), the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

COVID-19 HPSC HIU Timeseries Local Electoral Area Mapped. Published by Tailte Éireann – Surveying. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Please see FAQ for latest information on COVID-19 Data Hub data flows: https://covid-19.geohive.ie/pages/helpfaqsNotice:Due to the surge of cases over the Christmas period 2021, and increased processing times, updates of the Local Electoral Area (LEA) historic time series were paused. Updates of the historic time series resumed on 25th February 2022 (for cases created up to midnight on 21st February). As work is still ongoing to geo-code all cases created during the surge period, there is a gap in the historic LEA time series for cases created between 21st December 2021 and 21st January 2022. From the week of 30th May 2022 LEA data will no longer be updated.Please refer to the FAQ page for more information.14 Day Incidence of confirmed COVID-19 cases by LEA.14 Day Time Series Incidence Rate of confirmed COVID-19 cases by LEA - Rate per 100kThis hosted feature view provides a visualisation of the 14 Day Incidence rate per 100k population of COVID-19 cases at the Local Electoral Area (LEA) level across Ireland. In total, there are 166 LEA's across Ireland.Please note: For confidentiality reasons, following consultation with the CSO, all LEA's with values below 5 have been suppressed to 'Less than 5'. Where a rate per 100k is set to 'Less than 5' it means that the LEA has a 14 Day incidence below 5 and its value has been suppressed to show 'Less than 5'. This is not an indication of zero (0) confirmed cases. For a proportion of notified COVID-19 cases, their location on the map may reflect their place of work rather than their home address. Confirmed cases have been geo-coded and allocated to Local Electoral Areas (LEA's) by the Health Intelligence Unit (HIU) at the HSE.This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub....

Analysis of ‘COVID-19 HPSC HIU Latest Local Electoral Area Mapped’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/f5b674f7-3bd6-4a2d-9f35-2d3c5472b71e on 13 January 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

Analysis of ‘COVID-19 HPSC Detailed Statistics Profile’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/9ea959dd-3b80-4e9b-8f06-f3e73f3e0e21 on 12 January 2022.

--- Dataset description provided by original source is as follows ---

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

As of January 13, 2023, Bulgaria had the highest rate of COVID-19 deaths among its population in Europe at 548.6 deaths per 100,000 population. Hungary had recorded 496.4 deaths from COVID-19 per 100,000. Furthermore, Russia had the highest number of confirmed COVID-19 deaths in Europe, at over 394 thousand.

Number of cases in Europe During the same period, across the whole of Europe, there have been over 270 million confirmed cases of COVID-19. France has been Europe's worst affected country with around 38.3 million cases, this translates to an incidence rate of approximately 58,945 cases per 100,000 population. Germany and Italy had approximately 37.6 million and 25.3 million cases respectively.

Current situation In March 2023, the rate of cases in Austria over the last seven days was 224 per 100,000 which was the highest in Europe. Luxembourg and Slovenia both followed with seven day rates of infections at 122 and 108 respectively.

Please see FAQ for latest information on COVID-19 Data Hub Data Flows: https://covid-19.geohive.ie/pages/helpfaqs. Notice: Please note that data for the 30th of May 2023 is missing from this dataset.If you are downloading this data set as a CSV please follow these steps to sort the dataset by date.1. Click the 'Download' button.2. In the download pane that opens on the left, click the 'Download' button under CSV. This should be the first option.3. Open the file.4. Highlight column D by click 'D'.5. In the ribbon, in the Editing group click 'Sort & Filter'.6. From the drop down menu that appears select the first option to sort from oldest to newest.7. In the pop-up window that appears make sure that 'Expand the selection' is selected.8. Click 'Sort', the dataset will now be sorted by date. See the section What impact has the cyber-attack of May 2021 on the HSE IT systems had on reporting of COVID-19 data on the Data Hub? in the FAQ for information about issues in data from May 2021. Between 14th May 2021 and 29th July 2021 only the fields 'Number of confirmed COVID-19 cases Admitted on site' (SUM_number_of_confirmed_covid_19_ca) and 'Number of new COVID-19 cases confirmed in the past 24 hrs' (SUM_number_of_new_covid_19_cases_co) in this service were updated.The fields 'Number of New Admissions COVID-19 Positive previous 24hrs' (SUM_no_new_admissions_covid19_p) and 'Number of Discharges COVID-19 Positive previous 24hrs' (SUM_no_discharges_covid19_posit) have no data during this period of time. Detailed dataset containing a range of COVID-19 related indicators for Acute Hospitals in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of 29 Acute Hospitals. Data has been provided by the HSE Performance Management Improvement Unit (PMIU).This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

Dataset on COVID-19 patients in Intensive Care Units in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of all public and private ICU/HDU hospitals (including surge units). Data has been provided by the National Office of Clinical Audit (NOCA) ICU Bed Information System (ICU-BIS).This service is used in Ireland’s COVID-19 Data Hub, produced as a collaboration between Lands Ireland, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland’s COVID-19 Data Hub are built using the GeoHive platform, Ireland’s Geospatial Data Hub.

COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmathsThis work is described in more detail on the UK Data Service Impact and Innovation Lab blog: http://lab.ukdataservice.ac.uk/2020/05/21/visualising-high-risk-areas-for-covid-19-mortality/Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

COVID-19 HSE Weekly Vaccination Figures. Published by Tailte Éireann – Surveying. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Please see FAQ for latest information on COVID-19 Data Hub Data Flows. https://covid-19.geohive.ie/pages/helpfaqs Category Field label Field Name Explanation

ExtractDate Extract Date Date the data is Extracted

Latitude Latitude

Longitude Longitude

VaccinationDate Vaccination Date Date the Vaccination occurred

Week Week Details of epidemiological weeks available here https://www.hpsc.ie/notifiablediseases/resources/epidemiologicalweeks/

TotalDailyVaccines Total Daily Vaccines

Gender Male

Female

NA

Dose Number Dose1 Dose 1

Dose2 Dose 2

SingleDose Single Dose

Vaccine Brand Moderna

Pfizer

Janssen

AstraZeneca

Age Group Partial_Age0to9 At Least One Dose Age 0 to 11 Dose 1 of Astrazenenca, MRNA or Single Dose Vaccine

Partial_Age10to19 At Least One Dose Age 12 to 19

Partial_Age20to29 At Least One Dose Age 20 to 29

Partial_Age30to39 At Least One Dose Age 30 to 39

Partial_Age40to49 At Least One Dose Age 40 to 49

Partial_Age50to59 At Least One Dose Age 50 to 59

Partial_Age60to69 At Least One Dose Age 60 to 69

Partial_Age70to79 At Least One Dose Age 70 to 79

Partial_Age80+ At Least One Dose Age80+

Partial_NA At Least One Dose Not Assigned

Age Group Cumulative ParCum_Age0to9 Cumulative Age 0 to 11 Cumulative At least One Dose Age 0 to 11

ParCum_Age10to19 Cumulative Age 12 to 19 Cumulative At least One Dose Age 12 to 19

ParCum_Age20to29 Cumulative Age 20 to 29 Cumulative At least One Dose Age 20 to 29

ParCum_Age30to39 Cumulative Age 30 to 39 Cumulative At least One Dose Age 30 to 39

ParCum_Age40to49 Cumulative Age 40 to 49 Cumulative At least One Dose Age 40 to 49

ParCum_Age50to59 Cumulative Age50 to 59 Cumulative At least One Dose Age 50 to 59

ParCum_Age60to69 Cumulative Age 60 to 69 Cumulative At least One Dose Age 60 to 69

ParCum_Age70to79 Cumulative Age 70 to 79 Cumulative At least One Dose Age 70 to 79

ParCum_80+ Cumulative Age 80+ Cumulative At least One Dose Age 80+

Age Group Cumulative Percent ParCum_NA Cumulative Age Not Assigned Cumulative At least One Dose Age Not Assigned

ParPer_Age0to9 At Least One Dose Percent Age 0 to 11 Cumulative At least One Dose Age cohort/ Age cohort population

ParPer_Age10to19 At Least One Dose Percent Age 12 to 19

ParPer_Age20to29 At Least One Dose Percent Age 20 to 29

ParPer_Age30to39 At Least One Dose Percent Age 30 to 39

ParPer_Age40to49 At Least One Dose Percent Age 40 to 49

ParPer_Age50to59 At Least One Dose Percent Age 50 to 59

ParPer_Age60to69 At Least One Dose Percent Age 60 to 69

ParPer_Age70to79 At Least One Dose Percent Age 70 to 79

ParPer_80+ At Least One Dose Percent 80+

ParPer_NA At Least One Dose Percent Not Assigned

Age Group Fully_Age0to9 Fully vaccinated Age 0 to 11 Dose 2 of An MRNA or AztraZeneca Vaccine or a single dose vaccine of a Janssen

Fully_Age10to19 Fully vaccinated Age 12 to 19

Fully_Age20to29 Fully vaccinated Age 20 to 29

Fully_Age30to39 Fully vaccinated Age 30 to 39

Fully_Age40to49 Fully vaccinated Age 40 to 49

Fully_Age50to59 Fully vaccinated Age 50 to 59

Fully_Age60to69 Fully vaccinated Age 60 to 69

Fully_Age70to79 Fully vaccinated Age 70 to 79

Fully_Age80+ Fully vaccinated Age 80+

Fully_NA Fully vaccinated Age Not Available

Age Group Cumulative FullyCum_Age0to9 Cumulative Fully vaccinated Age 0 to 11

FullyCum_Age10to19 Cumulative Fully vaccinated Age 12 to 19

FullyCum_Age20to29 Cumulative Fully vaccinated Age 20 to 29

FullyCum_Age30to39 Cumulative Fully vaccinated Age 30 to 39

FullyCum_Age40to49 Cumulative Fully vaccinated Age 40 to 49

FullyCum_Age50to59 Cumulative Fully vaccinated Age 50 to 59

FullyCum_Age60to69 Cumulative Fully vaccinated Age 60 to 69

FullyCum_Age70to79 Cumulative Fully vaccinated Age 70 to 79

FullyCum_80+ Cumulative Fully vaccinated Age 80+

Age Group Cumulative Percent FullyCum_NA Cumulative Fully vaccinated Age Not Available

FullyPer_Age0to9 Cumulative Percent Fully vaccinated Age 0 to 11 Cumulative Fully Vaccinated Age cohort/ Age cohort population

FullyPer_Age10to19 Cumulative Percent Fully vaccinated Age 12 to 19

FullyPer_Age20to29 Cumulative Percent Fully vaccinated Age 20 to 29

FullyPer_Age30to39 Cumulative Percent Fully vaccinated Age 30 to 39

FullyPer_Age40to49 Cumulative Percent Fully vaccinated Age 40 to 49

FullyPer_Age50to59 Cumulative Percent Fully vaccinated Age 50 to 59

FullyPer_Age60to69 Cumulative Percent Fully vaccinated Age 60 to 69

FullyPer_Age70to79 Cumulative Percent Fully vaccinated Age 70 to 79

FullyPer_80+ Cumulative Percent Fully vaccinated Age 80+

FullyPer_NA Cumulative Percent Fully vaccinated Age Not Available ...

This Project Tycho dataset includes a CSV file with COVID-19 data reported in IRELAND: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

Objectives: Burden of Disease frameworks facilitate estimation of the health impact of diseases to be translated into a single measure, such as the Disability-Adjusted-Life-Year (DALY).Methods: DALYs were calculated as the sum of Years of Life Lost (YLL) and Years Lived with Disability (YLD) directly associated with COVID-19 in the Republic of Ireland (RoI) from 01 March 2020, to 28 February 2021. Life expectancy is based on the Global Burden of Disease (GBD) Study life tables for 2019.Results: There were 220,273 confirmed cases with a total of 4,500 deaths as a direct result of COVID-19. DALYs were estimated to be 51,622.8 (95% Uncertainty Intervals [UI] 50,721.7, 52,435.8). Overall, YLL contributed to 98.5% of the DALYs. Of total symptomatic cases, 6.5% required hospitalisation and of those hospitalised 10.8% required intensive care unit treatment. COVID-19 was likely to be the second highest cause of death over our study’s duration.Conclusion: Estimating the burden of a disease at national level is useful for comparing its impact with other diseases in the population and across populations. This work sets out to standardise a COVID-19 BoD methodology framework for the RoI and comparable nations in the EU.