Vol. 13 No. 76 (2024)
Articles

Network science to correlate COVID-19 and tourism indicators in Mexico

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  • Tanya Arenas-Resendiz,
  • Julián Patiño-Ortiz,
  • Miguel Angel Martínez-Cruz,
  • Humberto Dorantes-Benavidez,
  • Mauricio Chávez-Pichardo
Tanya Arenas-Resendiz
Universidad Rosario Castellanos URC y Centro de Ciencias de la Complejidad C3-UNAM, CDMX, México.
Bio
Julián Patiño-Ortiz
Instituto Politécnico Nacional ESIME, Zacatenco, CDMX, México.
Bio
Miguel Angel Martínez-Cruz
Instituto Politécnico Nacional ESIME, Zacatenco, CDMX, México.
Bio
Humberto Dorantes-Benavidez
Tecnológico Nacional de México TecNM-Tecnológico de Estudios Superiores del Oriente del Estado de México TESOEM Estado de México.
Bio
Mauricio Chávez-Pichardo
Tecnológico de Estudios Superiores del Oriente del Estado de México TESOEM, Estado de México.
Bio
DOI: https://doi.org/10.34069/AI/2024.76.04.1

Published 2024-04-30

Keywords

  • Correlation, Data analysis, Network analysis, Systems engineering, Tourism.

How to Cite

Arenas-Resendiz, T., Patiño-Ortiz, J., Martínez-Cruz, M. A., Dorantes-Benavidez, H., & Chávez-Pichardo, M. (2024). Network science to correlate COVID-19 and tourism indicators in Mexico. Amazonia Investiga, 13(76), 9–30. https://doi.org/10.34069/AI/2024.76.04.1

Copyright (c) 2024 Amazonia Investiga

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In this paper we analyze tourism as complex system susceptible to external perturbations, like COVID-19 public health emergency. The research objective is to confirm pertinence of using transdisciplinary tools such as complexity approach and network analysis to understand and represent tourism occupancy dynamic. We used network science methodology to introduce an analysis that integrates two Mexican tourism industry indicators: Tourist Destinations occupancy rates and Hospitality-Gastronomy jobs; correlated with COVID-19 in Mexico pandemic indicator: Confirmed cases. The analysis results are based on centrality measures used to describe organizational patterns in tourism dynamic, besides we identified some generic properties of tourism occupancy distribution.

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