key: cord-0256379-dx418wpy
authors: Medel-Ramirez, Carlos; Medel-Lopez, Hilario
title: Impact of (SARS-CoV-2) COVID 19 on the indigenous language-speaking population in Mexico
date: 2020-10-23
journal: nan
DOI: 10.13140/rg.2.2.12730.82887/2
sha: f4df737bc73670f07feaa880fd12be39d912a18e
doc_id: 256379
cord_uid: dx418wpy

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.

Infectious Diseases

Information from the Viral Respiratory Diseases Epidemiological Surveillance System for (SARS-CoV-2) COVID-19 in Mexico corresponding to the indigenous language-speaking population in Mexico. Table  Figure How data were acquired Government of Mexico. Health Secretary. Databases Covid-19 México https://datos.gob.mx/busca/dataset/informacion-referente-a-casoscovid-19-en-mexico/resource/e8c7079c-dc2a-4b6e-8035-08042ed37165 Instruments: Software Orange Data Mining version 3.26.0 https://orange.biolab.si Make and model and of the instruments used: Algorithm for the identification of patients according to 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

The information is presented in raw in CVS format, the Ministry of Health of Mexico since April 14, 2020 published the cases associated with (SARS-CoV-2) COVID-19 as open data. The data processing corresponds to the records on the epidemic (SARS-CoV-2) COVID-19 at 1 August 2020. The treatment of the information is carried out through the application software for data mining Orange version 3.26.0, in which the algorithm for the analysis of information is filtered to present the current scenario of the indigenous language-speaking population in Mexico of the SARS-CoV-2 (COVID 19).

The information is presented 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.

The states that comprise the indigenous language speaking population in Mexico are: Aguascalientes … Zacatecas

This information is filtered to present the current scenario in the indigenous language speaking population in Mexico of the SARS-CoV-2 (COVID 19) in a fast and timely manner, to support public decision-making in health matters.

• 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, comorbidities, 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. • Taking into account their strategic roles in public health and researchers can use the data from this study to identify the action scenario for decision-making in the combat of (SARS-CoV-2) COVID 19 in Phase 3 and Phase 4 corresponding to the indigenous language speaking population in Mexico • The importance of data analysis is that it allows identifying cases (SARS-CoV-2). COVID-19 in Mexico is concentrated daily and knowing the impact on the population and allows preparing action scenarios to make public health policy decisions to combat SARS-CoV-2) COVID-19 in the indigenous language speaking population in Mexico

The source of information on the number of registered cases of (SARS-CoV-2) COVID-19 at 1 August 2020 for Mexico comes from the website https://datos.gob.mx/busca/dataset/informacion-referente-a-casos-covid-19-en-mexico by the Ministry of Health, with the participation of the National Council for Science and Technology (CONACYT), the Center for Research in Geospatial Information Sciences (CENTROGEO), the National Laboratory for Geo-Intelligence (GEOINT), the Data Laboratory of the National Laboratory for Geointelligence (DataLab), where the registry of COVID-19 cases (SARS-CoV-2) COVID-19 is concentrated, and is the official means of communication and information on the epidemic in the Popoluca from the Soteapan Area in Mexico.

The information of the cases (SARS-CoV-2) COVID-19 in Mexico is concentrated on a daily basis since April 19, 2020, communication and official information on the epidemic in Mexico, the data are presented 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. The data processing corresponds to the records on the epidemic (SARS-CoV-2) COVID-19 at 1 August 2020. The treatment of the information is carried out through the application software for data mining and visual programming Orange Data Mining version 3.26.0. Orange Data Mining is a machine learning and data mining suite for data analysis through Python scripting and visual programming.

[1]

According to (WHO, 2020) the (SARS-CoV-2) COVID-19 disease pattern presents 4 scenarios identified from the confirmation of Laboratory Diagnosis: a) Not Infected or b) Infected, in this finally, the following categories are observed, taking into account age and specific comorbidities in each case: a) Mild Infection, b) Moderate Infection, c) Severe Infection and d) Critical Infection.

Depending on the category observed in Patients who have a Confirmation of Infected, as in the case of a) or b) it can assume the character of Outpatient, so the strategy is isolation or "quarantine" at home, where the result It is hoped that he will recover. Regarding the Patients who have a Confirmation of Infected, in categories c) and d) they assume the character of Hospitalized Patient, with a probability of requiring care in Intensive Care Units and requiring Intubation, and where it is hoped to save as many patients as possible.

The importance of the research is that it allows identifying the action scenario for making public health policy decisions to combat CO(SARS-CoV-2) COVID-19, since they consider the following states of process in medical treatment, in order to carry out the Estimate of Scenarios for Medical Care of the (SARS-CoV-2) COVID-19 under the following premises of hospital care: 1. A patient with a positive (SARS-CoV-2) COVID-19 laboratory diagnosis can be considered: a) Outpatient, or b) Hospitalized. 2. If the (SARS-CoV-2) COVID-19 Positive patient is Hospitalized, the following should be considered: a)

Enter the Intensive Care Unit or b) Do not enter the Intensive Care Unit. 3. If the (SARS-CoV-2) COVID-19 Positive patient is Hospitalized and Entered into the Intensive Care Unit, the following should be considered: a) The patient requires intubation or b) The patient does NOT require intubation.

The information is presented in raw in CVS format, the Ministry of Health of Mexico. The data processing corresponds to the records on the epidemic (SARS-CoV-2) COVID-19 at 1 August 2020. The treatment of the information is carried out through the application software for data mining Orange version 3.26.0, in which the algorithm for the analysis of information are developed and it is filtered to present the current scenario in Mexico of the SARS-CoV-2 (COVID 19). In this way, the algorithm that is presented allows us to project the requirements for the use of installed infrastructure in the face of the growing requirement for patient care Positive (SARS-CoV-2) COVID-19, allowing the identification of scenarios at the national, state and municipal levels. The construction of the algorithm is based on the following definitions. The data processing corresponds to the records on the epidemic (SARS-CoV-2) COVID-19 at 1 August 2020. The treatment of the information is carried out through the application software for data mining Orange version 3.26.0, in which the algorithm for the information analysis are developed. (See Figure 1, below) . According to information from the Ministry of Health, the following records are available at the national level: Table 4 ) 5. Only 84 Hospitalized with a positive (SARS-CoV-2) COVID-19 patients admitted to the intensive care unit required intubation; while 80 patients did not require intubation. (See Table 5 Table 6 ). 7. The fatality rate of patients with a positive result for SARS-CoV-2) COVID-19 at nationwide as of august 1, 2020, is estimated at 10.93%. The five states that registered the highest fatality rates as of August 1, 2020 are the following: a) Morelos with a rate of 2039%, b) Baja California with 19.67%, c) Sinaloa with a rate of 17.46% , d) Colima with a rate of 17: 00% and e) State of Mexico with a rate of 15.37%. For its part, the State of Veracruz registered a rate of 13.20% while Mexico City registered a rate of 9.75% (See Table 7 ). 8. The fatality rate of patients indigenous language-speaking population in Mexico with a positive result for SARS-CoV-2) COVID-19 at nationwide as of august 1, 2020, is estimated at (See Table 8 ). 9. Figure 1 

Orange: Data Mining Toolbox in Python

2Government of Mexico. Health Secretary. Databases Covid-19 México

Laboratory testing for coronavirus disease (COVID-19) in suspected human cases. Interim guidance

Data Mining for the Study of the Epidemic

COVID-19: Algorithm for the Identification of Patients (SARS-CoV-2) COVID

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 Avilable at Totonacapan area -Mexico

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 -Mexico

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 at de Madero area

Comisión Nacional para el Conocimiento y Uso de la Biodiversidad

The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.