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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Datos diarios sobre la COVID-19 en Andalucía (España) a escala de provincia y municipio

Daily data on COVID-19 in provinces and municipalities of Andalusia (Spain)
Authors: Rodríguez-Sánchez, Francisco;

Datos diarios sobre la COVID-19 en Andalucía (España) a escala de provincia y municipio

Abstract

Data on daily COVID-19 confirmed cases, hospitalised people (both in conventional and intensive care units), and deaths, for Andalucía region in southern Spain, at the scale of both provinces and municipalities. Data cover the period from the very start of the pandemic (26 February 2020) up to 4 April 2022. The data were captured daily by Francisco Rodríguez-Sánchez from the official website of Junta de Andalucía (wayback machine capture from 1 February 2022 here). Note the official data were often changed retrospectively by the government as numbers were revised continuously. The full history of changes of both datasets can be checked at this GitHub repository: https://github.com/Pakillo/COVID19-Andalucia. There you can also get the R code used to analyse those data, which were visualised in an online daily report here: https://pakillo.github.io/COVID19-Andalucia/evolucion-coronavirus-andalucia.html.

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Keywords

Spain, COVID-19, Andalucía, Andalusia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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