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Arcovid19

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).

  • Cristian Giuppone (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 Unpublished.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    publisher = {Unpublished},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:

Metadata

Release files for arcovid19 0.5.1

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Source distribution for arcovid19 0.5.1
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