Select a variable, regions and period of time and click the button to download the data in a csv text file.

Variable

Dates

Zones

Download

DatAC is a collaborative project conducted by a multidisciplinary group of researchers.

Team

Pedro Carmona-Sáez
Project coordinator
Department of Statistics, University of Granada and Bioinformatics Unit, GENYO

Contact: pedro.carmona@genyo.es

Jordi Martorell-Marugán
Main application developer
Bioinformatics Unit, GENYO

Juan Antonio Villatoro-García
Data collection and analysis
Bioinformatics Unit, GENYO

Adrián García-Moreno
Application codeveloper
Bioinformatics Unit, GENYO

Raúl López-Domínguez
Application codeveloper
Bioinformatics Unit, GENYO

Collaborators

• Francisco Requena, Imagine Institute of Genetic Diseases
• Juan Julián Merelo, Department of Computer Architecture and Technology, University of Granada
• Marina Lacasaña, Andalusian School of Public Health
• Juan de Dios Luna, Department of Statistics, University of Granada
• Juan José Díaz-Mochón, Centre for Genomics and Oncological Research (GENYO)
• José Antonio Lorente, Centre for Genomics and Oncological Research (GENYO)

Map

Here you can explore all the data, representing a variable at the map as circles. The variable is selected at the left panel, as well as the date. A table with the data for the selected variables is available at the right panel. You can select a zone to explore their historical data. By default, you can select countries. However, smaller regions can be selected choosing them at the right panel. An interactive barplot plot is generated at the right panel for the dates selected at the top of this section.

Trend analysis

In this tab, the relationship between two variables can be analysed. At the left panel, variables can be selected, as well as the dates to take into account and the model. The implemented models are polynomial model, correlation and loess regression. For polynomial model, the grade can be selected (from 1 to 6). For correlation, the method can be chasen as well. A lag can be applied to the second variable. For instance, if 2020-01-01 to 2020-01-31 perdiod with a 10 days lag are selected, variable 1 will contain the data for these dates, but variable 2 will contain the data for 2020-01-11 to 2020-02-10 period. Negative lag can be also applied. This is a way to find correlations between two variables with some time difference. The analysis results appear at the right panel, with the model, R2 and P-value for polynomial models and correlation value and P-value for correlation. Loess regression does not return any results, given than it is difficult to translate this regression to a mathematical equation. Notice that, sometimes, it is not possible to fit a high-degree polynomial model if there is not enough data. An error message will appear if this happens.

Time trends

Here, the variables tendencies along time can be explored for one or two variables in one or serveral regions. Variables, lag, dates and regions can be selected at the left panel. An interactive multiline plot is generated. Take into account that, if several regions are selected, it may be difficult to differenciate their lines at the plot. In addition, a scatter plot with the data for all the selected regions es generated.

Variables information

Sources links

• JHU (Johns Hopkins University Coronavirus Resource Center)
• OWID (Our World in Data)
• C3S (Copernicus Climate Change Service)
• EEA (European Environment Agency)
• GMCR (Google Mobility Community Reports)
• ECDPC (European Centre for Disease Prevention and Control)

* There may be some differences in data from Countries and Regions due to these are provided from different sources.

Versions

• 1.3 (2021-10-26): Hospital occupancy and ICU occupancy variables added.
• 1.2 (2021-09-02): Air quality variables added.
• 1.1 (2021-07-13): Rt and mobility variables added.
• 1.0 (2021-06-15): First version.

Citation

If you use DatAC, please cite the following article:

Martorell-Marugán J, Villatoro-García JA, et al. DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain. Science of The Total Environment, 2020, 141424. https://doi.org/10.1016/j.scitotenv.2020.141424

Contact

If you have any questions or suggestions, you cant contact us at bioinfo@genyo.es.