Intermunicipal travel networks of Mexico during the COVID-19 pandemic
Abstract 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 s...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-35542-5 |
| _version_ | 1797817978507493376 |
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| author | Oscar Fontanelli Plinio Guzmán Amilcar Meneses-Viveros Alfredo Hernández-Alvarez Marisol Flores-Garrido Gabriela Olmedo-Alvarez Maribel Hernández-Rosales Guillermo de Anda-Jáuregui |
| author_facet | Oscar Fontanelli Plinio Guzmán Amilcar Meneses-Viveros Alfredo Hernández-Alvarez Marisol Flores-Garrido Gabriela Olmedo-Alvarez Maribel Hernández-Rosales Guillermo de Anda-Jáuregui |
| author_sort | Oscar Fontanelli |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-13T09:02:32Z |
| format | Article |
| id | doaj.art-4bd66f94191c436f997180ac593bf81f |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T09:02:32Z |
| publishDate | 2023-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-4bd66f94191c436f997180ac593bf81f2023-05-28T11:15:39ZengNature PortfolioScientific Reports2045-23222023-05-0113111210.1038/s41598-023-35542-5Intermunicipal travel networks of Mexico during the COVID-19 pandemicOscar Fontanelli0Plinio Guzmán1Amilcar Meneses-Viveros2Alfredo Hernández-Alvarez3Marisol Flores-Garrido4Gabriela Olmedo-Alvarez5Maribel Hernández-Rosales6Guillermo de Anda-Jáuregui7CINVESTAV-IPNAstronomer LTDDepartment of Computer Science, CINVESTAV-IPNCentro de Ciencias Genómicas, UNAMENES Morelia, UNAMCINVESTAV-IPNCINVESTAV-IPNComputational Genomics Division, National Institute of Genomics MedicineAbstract 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.https://doi.org/10.1038/s41598-023-35542-5 |
| spellingShingle | Oscar Fontanelli Plinio Guzmán Amilcar Meneses-Viveros Alfredo Hernández-Alvarez Marisol Flores-Garrido Gabriela Olmedo-Alvarez Maribel Hernández-Rosales Guillermo de Anda-Jáuregui Intermunicipal travel networks of Mexico during the COVID-19 pandemic Scientific Reports |
| title | Intermunicipal travel networks of Mexico during the COVID-19 pandemic |
| title_full | Intermunicipal travel networks of Mexico during the COVID-19 pandemic |
| title_fullStr | Intermunicipal travel networks of Mexico during the COVID-19 pandemic |
| title_full_unstemmed | Intermunicipal travel networks of Mexico during the COVID-19 pandemic |
| title_short | Intermunicipal travel networks of Mexico during the COVID-19 pandemic |
| title_sort | intermunicipal travel networks of mexico during the covid 19 pandemic |
| url | https://doi.org/10.1038/s41598-023-35542-5 |
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