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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

Author

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

Abstract

The importance of the working document is that it allows analyzing the information and the status of the cases associated with (SARS-CoV-2) COVID-19 as data open to the municipal government and especially in the Totonacapan Zone in Mexico, from the registry patient diary, according to age, sex, comorbidities and condition of (SARS-CoV-2) COVID-19, according to the following characteristics: a) Positive, b) Negative, c) Suspect. Likewise, it presents information on the identification of an outpatient and / or hospitalized patient, attending to their medical development, identifying: a) Recovered, b) Deaths and c) Assets. Data analysis is carried out by applying a data mining algorithm, which provides the information, fast and timely, necessary for the estimation of the healthcare scenarios of (SARS-CoV-2) COVID-19.

Suggested Citation

  • 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.
    • Handle: RePEc:pra:mprapa:102039
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    File URL: https://mpra.ub.uni-muenchen.de/102039/1/MPRA_paper_102039.pdf
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. 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.
    2. Medel-Ramírez, Carlos & Medel-López, Hilario & Lara-Mérida, Jennifer, 2021. "(SARS-CoV-2) COVID 19: Vigilancia genómica y evaluación del impacto en la población hablante de lengua indígena en México [(SARS-CoV-2) COVID 19: Genomic surveillance and impact assessment on the i," MPRA Paper 110858, University Library of Munich, Germany.

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    1. Medel-Ramírez, Carlos & Medel-López, Hilario & Lara-Mérida, Jennifer, 2021. "(SARS-CoV-2) COVID 19: Vigilancia genómica y evaluación del impacto en la población hablante de lengua indígena en México [(SARS-CoV-2) COVID 19: Genomic surveillance and impact assessment on the i," MPRA Paper 110858, University Library of Munich, Germany.
    2. 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.
    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 Popoluca from the Soteapan Area," MPRA Paper 102379, University Library of Munich, Germany.
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    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.
    6. 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.

    More about this item

    Keywords

    (SARS-CoV-2) COVID-19; Algorithm (SARS-CoV-2) COVID-19; Totonacapan Zone; Mexico; Identification of patients; Native language;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • 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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