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Impact of (SARS-CoV-2) COVID 19 on the indigenous language-speaking population in Mexico

Author

Listed:
  • Medel-Ramírez, Carlos
  • Medel-López, Hilario

Abstract

The importance of the working document is that it allows the analysis of the information and the status of cases associated with (SARS-CoV-2) COVID-19 as open data at the municipal, state and national level, with a daily record of patients, according to a age, sex, comorbidities, for the condition of (SARS-CoV-2) COVID-19 according to the following characteristics: a) Positive, b) Negative, c) Suspicious. Likewise, it presents information related to the identification of an outpatient and / or hospitalized patient, attending to their medical development, identifying: a) Recovered, b) Deaths and c) Active, in Phase 3 and Phase 4, in the five main population areas speaker of indigenous language in the State of Veracruz - Mexico. The data analysis is carried out through the application of a data mining algorithm, which provides the information, fast and timely, required for the estimation of Medical Care Scenarios of (SARS-CoV-2) COVID-19, as well as for know the impact on the indigenous language-speaking population in Mexico.

Suggested Citation

  • Medel-Ramírez, Carlos & Medel-López, Hilario, 2020. "Impact of (SARS-CoV-2) COVID 19 on the indigenous language-speaking population in Mexico," MPRA Paper 102579, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:102579
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    File URL: https://mpra.ub.uni-muenchen.de/102579/1/MPRA_paper_102579.pdf
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    References listed on IDEAS

    as
    1. Medel-Ramírez, Carlos & Medel-López, Hilario, 2020. "Impact of (SARS-CoV-2) COVID 19 on the five main indigenous language-speaking areas in Veracruz Mexico: The case of the Nahuatl of the Zongolica Zone," MPRA Paper 102529, University Library of Munich, Germany.
    2. Medel-Ramírez, Carlos & Medel-López, Hilario, 2020. "Data Article. Data mining for the study of the Epidemic (SARS- CoV-2) COVID-19: Algorithm for the identification of patients (SARS-CoV-2) COVID 19 in Mexico," MPRA Paper 100888, University Library of Munich, Germany.
    3. Medel-Ramírez, Carlos & Medel-López, Hilario, 2020. "Impact of (SARS-CoV-2) COVID 19 on the five main indigenous language-speaking areas in Veracruz Mexico: The case of the Huasteco from the Tantoyuca area," MPRA Paper 102352, University Library of Munich, Germany.
    4. Medel-Ramírez, Carlos & Medel-López, Hilario, 2020. "Data mining for the study of the Epidemic (SARS-CoV-2) COVID-19: Algorithm for the identification of patients speaking the native language in the Totonacapan area – Mexico," MPRA Paper 102039, University Library of Munich, Germany.
    5. Medel-Ramírez, Carlos & Medel-López, Hilario, 2020. "Impact of (SARS-CoV-2) COVID 19 on the five main indigenous language- speaking areas in Veracruz Mexico: The case of the Nahuatl from the Pajapan Zone," MPRA Paper 102559, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    (SARS-CoV-2) COVID-19; Algorithm (SARS-CoV-2) COVID-19; Mexico; identification of patients; indigenous language-speaking;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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