Current DOI: 10.1590/SciELOPreprints.362
Data description: DESCRIPTION.en.md and SciELOPreprints:362
Tip: when cloning it is highly recommended to use a depth of just 1 commit, as there are several daily updates, with git clone --depth 1
.
A dataset with numbers of COVID-19 in Brazil. There is data available for cases and deaths at the municipality level, with official information given by Ministério da Saúde, and official federative units reports via Brasil.IO. Data for suspected cases and vaccines (first and second doses) are also available, collected by @coronavirusbra1. Other data, such as recovered and tests were extracted from @coronavirusbra1 until October 2020, and now come from Giscard, with corrections and retroactive updates. The numbers of cases and deaths for the current day by federative unit level can be extract from Giscard's data, while the temporal evolution is given exclusively by Ministério da Saúde (with some corrections, see _fixes_meta.csv) and Brasil.IO.
Read the file DESCRIPTION.en.md and SciELOPreprints:362 for more information for each available file.
It is worth stressing that all data provided here are by the release date of reports from each federative unit. Take care when interpreting these data.
This dataset is maintained exclusively by me, Wesley Cota, with daily updates from different sources. The webpage https://covid19br.wcota.me/en/ presents graphs and more information provided by this dataset.
More information: https://covid19br.wcota.me/
Example with pandas
on Python: https://colab.research.google.com/drive/1H1N387IIAGV-3YRtyxzPz94vSiLrhE0M?usp=sharing
💬 Note about the license
In general, the data available here follow CC BY 4.0 or compatible license. However, some data, such as cases and deaths at municipality level via Brasil.IO follow a CC BY-SA 4.0 license. When using these data, please follow the license from the original source, which is CC BY-SA 4.0.
In any case, read the file DESCRIPTION.en.md for more information about the columns available for each file, and the ones from the original sources. It is not necessary to ask for permission to use these data, as long as you cite the source and this repository.
This dataset is part of a Post-Doctoral project registered at Universidade Federal de Viçosa, with a fellowship by CAPES.
- Outbreak diversity in epidemic waves propagating through distinct geographical scales in Brazil, Phys. Rev. Research 2, 043306 (2020)
- Twitter bot
- Telegram bot
- Monitor da COVID-19 no Brasil (official news and tweets)
- Brasil.IO
Current team: @coronavirusbra1
- @CoronavirusBra1
- @leonardomed
- @rafaelcalpena
- @altendorfme
- @hexry13
- @fgrehm
- @PokeCorona
- Wesley Cota, @wlcota
If you use this dataset, please cite the following DOI: 10.1590/SciELOPreprints.362
W. Cota, “Monitoring the number of COVID-19 cases and deaths in brazil at municipal and federative units level”, SciELOPreprints:362 (2020), 10.1590/scielopreprints.362
BibTeX:
@article{CotaCovid19br2020,
doi = {10.1590/scielopreprints.362},
url = {https://doi.org/10.1590/scielopreprints.362},
year = {2020},
month = may,
journal={{SciELOPreprints:362}},
publisher = {{FapUNIFESP} ({SciELO})},
author = {Wesley Cota},
title = {Monitoring the number of {COVID}-19 cases and deaths in Brazil at municipal and federative units level}
}
In general, the data available here follow CC BY 4.0 or compatible license. However, some data, such as cases and deaths at municipality level via Brasil.IO follow a CC BY-SA 4.0 license. When using these data, please follow the license from the original source, which is CC BY-SA 4.0.
In any case, read the file DESCRIPTION.en.md for more information about the columns available for each file, and the ones from the original sources. It is not necessary to ask for permission to use these data, as long as you cite the source and this repository.