Skip to main content

Build Status Python 3 BSD-3 Documentation Status PyPI

This library contains the utilities to access different Argentina-Related databases of COVID-19 data from the IATE task force.

Installation

$ pip install arcovid19

Authors

  • Juan B Cabral (CIFASIS-UNR, IATE-OAC-UNC).

  • Mauricio Koraj (Liricus SRL.).

  • Vanessa Daza (IATE-OAC-UNC, FaMAF-UNC).

  • Mariano Dominguez (IATE-OAC-UNC, FaMAF-UNC).

  • Marcelo Lares (IATE-OAC-UNC, FaMAF-UNC).

  • Nadia Luczywo (LIMI-FCEFyN-UNC, IED-FCE-UNC, FCA-IUA-UNDEF)

  • Dante Paz (IATE-OAC-UNC, FaMAF-UNC).

  • Rodrigo Quiroga (INFIQC-CFQ, FCQ-UNC).

  • Martín de los Ríos (ICTP-SAIFR).

  • Bruno Sanchez (Department of Physics, Duke University).

  • Federico Stasyszyn (IATE-OAC, FaMAF-UNC).

Documentation

Check our documentation and tutorial here: https://arcovid19.readthedocs.io/

Raw Data

Citation

Please acknowledge arcovid19 in any research report or publication that requires citation of any author’s work. Our suggested acknowledgment is:

The authors acknowledge the arcovid19 project that contributed to the research reported here. https://github.com/ivco19/libs/

ABOUT THE DATA

Please cite:

Luczywo, N. A., Daza, V., Koraj, M., Dominguez, M., Lares, M., Paz, D. J., Quiroga, R., Rios, M. E. D. L., Sánchez, B. O., Stasyszyn, F., & Cabral, J. B. (2020). Infecciones de COVID-19 en Argentina. Unpublished. https://doi.org/10.13140/RG.2.2.22519.78246

@misc{https://doi.org/10.13140/rg.2.2.22519.78246,
    doi = {10.13140/RG.2.2.22519.78246},
    url = {http://rgdoi.net/10.13140/RG.2.2.22519.78246},
    author = {
        Luczywo,  Nadia Ayelen and Daza,  Vanessa and Koraj,  Mauricio and
        Dominguez,  Mariano and Lares,  Marcelo and Paz,  Dante Javier and
        Quiroga,  Rodrigo and Rios,  Martín Emilio De Los and
        Sánchez,  Bruno Orlando and Stasyszyn,  Federico and
        Cabral,  Juan Bautista},
    language = {es},
    title = {Infecciones de COVID-19 en Argentina},
    publisher = {Unpublished},
    year = {2020}
}

Afiliations:

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arcovid19-0.4.1.tar.gz (12.6 kB view details)

Uploaded Source

File details

Details for the file arcovid19-0.4.1.tar.gz.

File metadata

  • Download URL: arcovid19-0.4.1.tar.gz
  • Upload date:
  • Size: 12.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.44.1 CPython/3.7.5

File hashes

Hashes for arcovid19-0.4.1.tar.gz
Algorithm Hash digest
SHA256 9b8faf7f40f644cb9cc60150f9680b95ab17797b8cffce90b8c9afb20effe6b2
MD5 c95be806edf12fc89e7a3469fd336084
BLAKE2b-256 f7dc6b87c8c5e9651a3358de0b781db328bc130cc9f375e7951c46101d789bdb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page