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This work presents the development and application of an epidemiological statistical model called SEIRD (Susceptible, Exposed, Infected, Recovered, and Deceased) to analyze the behavior of COVID-19 patients in the State of Oaxaca. Our aim is to generate knowledge and strengthen research sovereignty in Mexico. Data provided by the General Directorate of Epidemiology of the Mexican Government is used, and data analysis techniques are applied to identify the place of residence of COVID-19 patients and the location of hospitals in Oaxaca. This allows for the development of a spatial analysis model through dispersion and correlation maps. Geographic Information Systems (GIS) tools are integrated to identify propagation patterns and high-vulnerability zones. The results demonstrate the usefulness of spatial models for health resource planning and informed decision-making in emergency situations.

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SEIRD Model for Spatial Analysis of COVID-19 Patients in the State of Oaxaca

  • 会议论文

  • 发表日期：

    2026年

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  • Daniel Jiménez-Alcantar,
  • Sergio Víctor Chapa-Vergara,
  • Sonia Mendoza-Chapa,
  • Dominique Decouchant,
  • Luis Martín Sánchez-Adame

摘要

This work presents the development and application of an epidemiological statistical model called SEIRD (Susceptible, Exposed, Infected, Recovered, and Deceased) to analyze the behavior of COVID-19 patients in the State of Oaxaca. Our aim is to generate knowledge and strengthen research sovereignty in Mexico. Data provided by the General Directorate of Epidemiology of the Mexican Government is used, and data analysis techniques are applied to identify the place of residence of COVID-19 patients and the location of hospitals in Oaxaca. This allows for the development of a spatial analysis model through dispersion and correlation maps. Geographic Information Systems (GIS) tools are integrated to identify propagation patterns and high-vulnerability zones. The results demonstrate the usefulness of spatial models for health resource planning and informed decision-making in emergency situations.