Identification of COVID-19 infection areas through spatial analysis of urban facilities from Puno, Perú.

Authors

  • Grover Marin Mamani UNAP Author
  • José Alberto Llanos Condori Facultad de Ingeniería Civil y Arquitectura. Puno, Perú Author
  • Eleodoro Huichi Atamari Facultad de Ingeniería Civil y Arquitectura. Puno, Perú. Author
  • Esteban Marín Paucara Facultad de Ingeniería Civil y Arquitectura. Puno, Perú. Author
  • Vitalino Enríquez Mamani Universidad Nacional de Juliaca. Juliaca, Perú. Author
  • Néstor Bolívar Espinoza Universidad Nacional de Juliaca. Juliaca, Perú. Author

DOI:

https://doi.org/10.15517/isucr.v23i48.48131

Keywords:

Kernel density, Map algebra, Moran index, Spatial autocorrelation, Urban equipment

Abstract

The health crisis of 2020 due to COVID 19 has become the main problem faced by governments, in this context spatial analysis is a tool that would help control the pandemic. The purpose is to identify the COVID 19 contagion risk zones, through the spatial analysis of banking and commercial equipment in the city of Puno. The banking and commercial equipment has been located in UTM WGS 84 coordinates, for the generation of response surfaces using Kernel density, adding the partial results through map algebra and also identified the spatial autocorrelation by means of the Moran I index. The high contagion risk zone COVID 19 has an area of 127 210,44 m2, representing 14% that covers 13 blocks, generating a concentric pattern in the center from Puno city, due to the proximity of banking and commercial equipment, causing inequality with other sectors of the city.

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Published

08/10/2026

Issue

Volume 23, Issue 48, July - December 2022

Section

Academic Articles (Peer-Reviewed Section)

License

Copyright (c) 2026 Grover Marin Mamani, José Alberto Llanos Condori, Eleodoro Huichi Atamari, Esteban Marín Paucara, Vitalino Enríquez Mamani, Néstor Bolívar Espinoza (Autor/a)

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