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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

Author

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

Abstract

The importance of the working document is that it allows analyzing the information and status of the cases associated with (SARS-CoV-2) COVID-19 as open data at the municipal, state and national levels, with a daily registry of patients, according to age, sex, comorbidities, for the condition of (SARS-CoV-2) COVID-19 according to the following characteristics: a) Positive, b) Negatives, c) Suspects. Likewise, it presents information regarding the identification of an outpatient and / or hospitalized patient, attending to their medical development, identifying: a) Recovered, b) Deaths and c) Assets, in Phase 3 and Phase 4, at the national state and municipal level in Mexico, the data analysis is carried out by applying an algorithm of data mining, which provides the information, fast and timely, required for the estimation of Scenarios for Medical Care of the (SARS-CoV-2) COVID-19. • The Algorithm for the identification of patients (SARS-CoV-2) COVID 19 in Mexico allows to analyze at the municipal, state and national level, the registry of patients, according to age, sex, co-morbidities, for condition of (SARS-CoV-2) COVID-19 according to the following characteristics: a) Positive, b) Negative, c) Suspicious, as well as presenting information on the identification of an outpatient and / or hospitalized patient, attending to their medical development, identifying: a) Recovered, b ) Deaths and c) Assets, in Phase 3 and Phase 4, in a fast and timely manner, to support public decision-making in health matters.

Suggested Citation

  • 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.
    • Handle: RePEc:pra:mprapa:100888
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    File URL: https://mpra.ub.uni-muenchen.de/100888/1/MPRA_paper_100888.pdf
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    Citations

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    Cited by:

    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 Popoluca from the Soteapan Area," MPRA Paper 102379, University Library of Munich, Germany.
    2. 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.
    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 Nahuatl of the Zongolica Zone," MPRA Paper 102529, University Library of Munich, Germany.
    4. 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.
    5. 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.
    6. 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.
    7. 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.

    More about this item

    Keywords

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

    JEL classification:

    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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