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Number of cases of coronavirus disease (COVID-19) in Ireland

Authors: Moriarty, Frank; Prendergast, Ciaran;

Number of cases of coronavirus disease (COVID-19) in Ireland

Abstract

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, hospitalisations, ICU admissions, deaths, number of healthcare workers, number of clusters, gender of cases, age groups of cases, mode of transmission, age groups of those hospitalised, and cases per county. To aid standardisation of age groups and cases per county, the population estimates by age group for 2019 and the actual county population in the 2016 Census from Ireland's Central Statistics Office are also included as separate datasets, to allow expression of cases per million population. These are doh_covid_ie_cases_analysis.csv, where data from Ireland's Health Protection Surveillance Centre is included up to midnight on each included date (currently up to 12-Jun-2020). age_population_cso_2019.csv counties_population_cso_2016.csv age_population_cso_2019.csv has been updated to include separate population estimates for those aged 65-74 years, 75-84 years, and 85 years and over. This is in response to the HSPC releasing case and hospitalisation data for these groups rather than a combined 65 years and over group. counties_population_cso_2016.csv has been updated to remove trailing spaces in the 'county' column. doh_covid_ie_cases_analysis.csv is regularly updated at https://github.com/frankmoriarty/covid_ie/blob/master/doh_covid_ie_cases_analysis.csv

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Keywords

SARS-CoV-2, coronavirus, COVID-19, Ireland, severe acute respiratory syndrome coronavirus 2, COVID

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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