1.- Working papers: Impact of (SARS-CoV-2) COVID 19

Working paper no. 1. COVID 19

(2021)

Medel-Ramírez, Carlos, Medel-López, Hilario y Lara-Mérida Jennifer. (2021) “(SARS-CoV-2) COVID 19: Genomic surveillance and evaluation of the impact on the population speaker of indigenous language in Mexico”. Computer Science. Computers and Society. 29 Nov 2021. ISSN 2331-8422 (Online) | ArXiv.org |  Link https://arxiv.org/abs/2112.01276

https://arxiv.org/abs/2112.01276

 

Working paper no. 2. COVID 19

(2020)

Medel-Ramírez, Carlos y Medel-López, Hilario. (2020). “Impact of (SARS-CoV-2) COVID 19 on the indigenous language-speaking population in Mexico”. Computer Science. Computers and Society. 23 Oct 2020. ISSN 2331-8422 (Online) | ArXiv.org |  Link.   https://arxiv.org/abs/2010.15588

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.

 

Working paper no. 3. COVID 19

(2020)

 

Medel-Ramírez Carlos, Medel-López Hilario.  Impact of (SARS-CoV-2) COVID 19 on the indigenous language-speaking population in Mexico, 19 september 2020.

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, at 19 September 2020.

https://www.researchgate.net/publication/344326097_Impact_of_SARS-CoV-2_COVID_19_on_the_indigenous_language-speaking_population_in_Mexico_19_september_2020

 

 

Working paper no. 4. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. 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.

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 Veracruz. For this purpose, the following study zones are presented: a) Totonacapan Zone, b) Huasteco from the Tantoyuca Zone, c) Otomi from the Inxhuatlan de Madero Zone, d) Nahuatl from the Zongolica Zone, e) Nahuatl from the Chicontepec Zone, f) Nahualt from the Pajapan Zone and g) Popoluca from the Soteapan Zone. This data article presents the information as of August 1, 2020 corresponding to the the Nahuatl from the Pajapan Zone.

https://www.researchgate.net/publication/343798420_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

 

Working paper no. 5. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. 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.

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 Veracruz. For this purpose, the following study zones are presented: a) Totonacapan Zone, b) Huasteco from the Tantoyuca Zone, c) Otomi from the Inxhuatlan de Madero Zone, d) Nahuatl from the Zongolica Zone, e) Nahuatl from the Chicontepec Zone, f) Nahualt from the Pajapan Zone and g) Popoluca from the Soteapan Zone. This data article presents the information as of August 1, 2020 corresponding to the Nahuatl of the Zongolica Zone.

https://www.researchgate.net/publication/343760400_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

 

Working paper no. 6. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. 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 Chicontepec Zone.

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 Veracruz. For this purpose, the following study zones are presented: a) Totonacapan Zone, b) Huasteco from the Tantoyuca Zone, c) Otomi from the Inxhuatlan de Madero Zone, d) Nahuatl from the Zongolica Zone, e) Nahuatl from the Chicontepec Zone, f) Nahualt from the Pajapan Zone and g) Popoluca from the Soteapan Zone. This data article presents the information as of August 1, 2020 corresponding to the Nahuatl of the Chicontepec Zone.

https://www.researchgate.net/publication/343689143_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_Chicontepec_Zone

 

Working paper no. 7. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. 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.

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 Veracruz. For this purpose, the following study zones are presented: a) Totonacapan Zone, b) Huasteco from the Tantoyuca Zone, c) Otomi from the Inxhuatlan de Madero Zone, d) Nahuatl from the Zongolica Zone, e) Nahuatl from the Chicontepec Zone, f) Nahualt from the Pajapan Zone and g) Popoluca from the Soteapan Zone. This data article presents the information as of August 1, 2020 corresponding to the Huasteco Area. Keywords (SARS-CoV-2) COVID-19, Algorithm (SARS-CoV-2) COVID-19, Mexico, identification of patients, Huasteco Area

https://www.researchgate.net/publication/343644166_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

 

Working paper no. 8. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. Impact of (SARS-CoV-2) COVID 19 on the five main indigenous language-speaking areas in Veracruz Mexico: The case of the Otomi of the Ixhuatlan de Madero area.

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 Veracruz. For this purpose, the following study zones are presented: a) Totonacapan Zone, b) Huasteco from the Tantoyuca Zone, c) Otomi from the Inxhuatlan de Madero Zone, d) Nahuatl from the Zongolica Zone, e) Nahuatl from the Chicontepec Zone, f) Nahualt from the Pajapan Zone and g) Popoluca from the Soteapan Zone. This data article presents the information as of August 1, 2020 corresponding to the Otomi of the Ixhuatlan de Madero area.

https://www.researchgate.net/publication/343628250_Impact_of_SARS-CoV-2_COVID_19_on_the_five_main_indigenous_language-speaking_areas_in_Veracruz_Mexico_The_case_of_the_Otomi_of_the_Ixhuatlan_de_Madero_area

 

Working paper no. 9. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. 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.

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 Veracruz. For this purpose, the following study zones are presented: a) Totonacapan Zone, b) Huasteco from the Tantoyuca Zone, c) Otomi from the Inxhuatlan de Madero Zone, d) Nahuatl from the Zongolica Zone, e) Nahuatl from the Chicontepec Zone, f) Nahualt from the Pajapan Zone and g) Popoluca from the Soteapan Zone. This data article presents the information as of August 1, 2020 corresponding to the Popoluca from the Soteapan Area.

https://www.researchgate.net/publication/343600775_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

 

Working paper no. 10. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. 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.

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 Veracruz. For this purpose, the following study zones are presented: a) Totonacapan Zone, b) Huasteco from the Tantoyuca Zone, c) Otomi from the Inxhuatlan de Madero Zone, d) Nahuatl from the Zongolica Zone, e) Nahuatl from the Chicontepec Zone, f) Nahualt from the Pajapan Zone and g) Popoluca from the Soteapan Zone. This data article presents the information as of August 1, 2020 corresponding to the Huasteco Area. Keywords (SARS-CoV-2) COVID-19, Algorithm (SARS-CoV-2) COVID-19, Mexico, identification of patients, Huasteco Area.

https://www.researchgate.net/publication/343570073_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

 

Working paper no. 11. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. Impact of (SARS-CoV-2) COVID 19 on the five main indigenous language-speaking areas in Veracruz Mexico: The case of the Totonacapan area.

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 Veracruz. For this purpose, the following study zones are presented: a) Totonacapan Zone, b) Huasteco from the Tantoyuca Zone, c) Otomi from the Inxhuatlan de Madero Zone, d) Nahuatl from the Zongolica Zone, e) Nahuatl from the Chicontepec Zone, f) Nahualt from the Pajapan Zone and g) Popoluca from the Soteapan Zone. This data article presents the information as of August 1, 2020 corresponding to the Totonacapan Area.

https://www.researchgate.net/publication/343546537_Impact_of_SARS-CoV-2_COVID_19_on_the_five_main_indigenous_language-speaking_areas_in_Veracruz_Mexico_The_case_of_the_Totonacapan_area

 

Working paper no. 12. COVID 19

(2020)

Medel-Ramírez Carlos, Medel-López Hilario. 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.

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. Keywords (SARS-CoV-2) COVID-19, Algorithm (SARS-CoV-2) COVID-19, Totonacapan Zone, Mexico, Identification of patients, Native language.

https://www.researchgate.net/publication/343194400_Data_Article_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

 

Working paper no. 13. COVID 19

(2020)

Medel-Ramírez, Carlos y Medel-López, Hilario. (2020). “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”. Political Economy – Development: Health eJournal. Vol 8, no. 128, Aug 5 2020. Social Science Research Network. SSRN Elsevier. ISSN: 1556-5068 

 

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