Intermunicipal travel networks of Mexico during the COVID-19 pandemic


Por: Fontanelli O., Guzmán P., Meneses-Viveros A., Hernández-Alvarez A., Flores-Garrido M., Olmedo-Alvarez G., Hernández-Rosales M., Anda-Jáuregui G.

Publicada: 1 ene 2023
Categoría: Multidisciplinary

Resumen:
Human mobility networks are widely used for diverse studies in geography, sociology, and economics. In these networks, nodes usually represent places or regions and links refer to movement between them. They become essential when studying the spread of a virus, the planning of transit, or society’s local and global structures. Therefore, the construction and analysis of human mobility networks are crucial for a vast number of real-life applications. This work presents a collection of networks that describe the human travel patterns between municipalities in Mexico in the 2020–2021 period. Using anonymized mobile location data, we constructed directed, weighted networks representing the volume of travels between municipalities. We analysed changes in global, local, and mesoscale network features. We observe that changes in these features are associated with factors such as COVID-19 restrictions and population size. In general, the implementation of restrictions at the start of the COVID-19 pandemic in early 2020, induced more intense changes in network features than later events, which had a less notable impact in network features. These networks will result very useful for researchers and decision-makers in the areas of transportation, infrastructure planning, epidemic control and network science at large. © 2023, The Author(s).

Filiaciones:
Fontanelli O.:
 CINVESTAV-IPN, Irapuato, Mexico

Guzmán P.:
 Astronomer LTD, Cincinnati, United States

Meneses-Viveros A.:
 Department of Computer Science, CINVESTAV-IPN, Mexico City, Mexico

Hernández-Alvarez A.:
 Centro de Ciencias Genómicas, UNAM, Cuernavaca, Mexico

Flores-Garrido M.:
 ENES Morelia, UNAM, Morelia, Mexico

Olmedo-Alvarez G.:
 CINVESTAV-IPN, Irapuato, Mexico

Hernández-Rosales M.:
 CINVESTAV-IPN, Irapuato, Mexico

Anda-Jáuregui G.:
 Computational Genomics Division, National Institute of Genomics Medicine, Mexico City, Mexico

 Investigadores e Investigadoras por México, National Council of Humanities, Sciences and Technologies, Mexico City, Mexico

 Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, Mexico City, Mexico
ISSN: 20452322
Editorial
NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 13 Número: 1
Páginas:
WOS Id: 001001070500022
ID de PubMed: 37237051
imagen Green Published, gold, All Open Access; Gold

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