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(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 indigenous language-speaking population in Mexico]

Author

Listed:
  • Medel-Ramírez, Carlos
  • Medel-López, Hilario
  • Lara-Mérida, Jennifer

Abstract

The importance of the working document is that it allows the analysis of information and cases associated with (SARS-CoV-2) COVID-19, based on the daily information generated by the Government of Mexico through the Secretariat of Health, responsible for the Epidemiological Surveillance System for Viral Respiratory Diseases (SVEERV). The information in the SVEERV is disseminated as open data, and the level of information is displayed at the municipal, state and national levels. On the other hand, the monitoring of the genomic surveillance of (SARS-CoV-2) COVID-19, through the identification of variants and mutations, is registered in the database of the Information System of the Global Initiative on Sharing All Influenza Data (GISAID) based in Germany. These two sources of information SVEERV and GISAID provide the information for the analysis of the impact of (SARS-CoV-2) COVID-19 on the population in Mexico. The first data source identifies information, at the national level, on patients according to age, sex, comorbidities and COVID-19 presence (SARS-CoV-2), among other characteristics. The data analysis is carried out by means of the design of an algorithm applying data mining techniques and methodology, to estimate the case fatality rate, positivity index and identify a typology according to the severity of the infection identified in patients who present a positive result. for (SARS-CoV-2) COVID-19. From the second data source, information is obtained worldwide on the new variants and mutations of COVID-19 (SARS-CoV-2), providing valuable information for timely genomic surveillance. This study analyzes the impact of (SARS-CoV-2) COVID-19 on the indigenous language-speaking population, it allows us to provide information, quickly and in a timely manner, to support the design of public policy on health.

Suggested Citation

  • 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.
    • Handle: RePEc:pra:mprapa:110858
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    File URL: https://mpra.ub.uni-muenchen.de/110858/1/MPRA_paper_110858.pdf
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    References listed on IDEAS

    as
    1. 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.
    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 from the Pajapan Zone," MPRA Paper 102559, 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. "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.
    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 Huasteco from the Tantoyuca area," MPRA Paper 102352, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

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    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.
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    More about this item

    Keywords

    (SARS-CoV-2) COVID-19; Genomic surveillance; data mining techniques; mutations of COVID-19 (SARS-CoV-2);
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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