Impact of (SARS-CoV-2) COVID 19 on the indigenous language-speaking population in Mexico

TL;DR

This study analyzes COVID-19 case data in indigenous language-speaking populations in Veracruz, Mexico, using data mining to assess the pandemic's impact and inform medical care planning.

Contribution

It introduces a data mining approach to evaluate COVID-19's impact on indigenous populations in Mexico using open case data.

Findings

Identifies COVID-19 case status and outcomes among indigenous populations.

Provides timely data for medical care scenario estimation.

Highlights disparities in COVID-19 impact on indigenous communities.

Abstract

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.