A highly granular temporary migration dataset derived from mobile phone data in Senegal
Abstract Understanding temporary migration is crucial for addressing various socio-economic and environmental challenges in developing countries. However, traditional surveys often fail to capture such movements effectively, leading to a scarcity of reliable data, particularly in sub-Saharan Africa....
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04599-4 |
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| author | Paul Blanchard Stefania Rubrichi |
| author_facet | Paul Blanchard Stefania Rubrichi |
| author_sort | Paul Blanchard |
| collection | DOAJ |
| description | Abstract Understanding temporary migration is crucial for addressing various socio-economic and environmental challenges in developing countries. However, traditional surveys often fail to capture such movements effectively, leading to a scarcity of reliable data, particularly in sub-Saharan Africa. This article introduces a detailed and open-access dataset that leverages mobile phone data to capture temporary migration in Senegal with unprecedented spatio-temporal detail. The dataset provides measures of migration flows and stocks across 151 locations across the country and for each half-month period from 2013 to 2015, with a specific focus on movements lasting between 20 and 180 days. The article presents a suite of methodological tools that not only includes algorithmic methods for the detection of temporary migration events in digital traces, but also addresses key challenges in aggregating individual trajectories into coherent migration statistics. These methodological advancements are not only pivotal for the intrinsic value of the dataset but also adaptable for generating systematic migration statistics from other digital trace datasets in other contexts. |
| format | Article |
| id | doaj-art-c19bbbea63174617827c53ac88506b30 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-c19bbbea63174617827c53ac88506b302025-08-20T02:10:31ZengNature PortfolioScientific Data2052-44632025-06-0112112410.1038/s41597-025-04599-4A highly granular temporary migration dataset derived from mobile phone data in SenegalPaul Blanchard0Stefania Rubrichi1Institut de Recherche pour le DéveloppementOrange Innovation - SENSEAbstract Understanding temporary migration is crucial for addressing various socio-economic and environmental challenges in developing countries. However, traditional surveys often fail to capture such movements effectively, leading to a scarcity of reliable data, particularly in sub-Saharan Africa. This article introduces a detailed and open-access dataset that leverages mobile phone data to capture temporary migration in Senegal with unprecedented spatio-temporal detail. The dataset provides measures of migration flows and stocks across 151 locations across the country and for each half-month period from 2013 to 2015, with a specific focus on movements lasting between 20 and 180 days. The article presents a suite of methodological tools that not only includes algorithmic methods for the detection of temporary migration events in digital traces, but also addresses key challenges in aggregating individual trajectories into coherent migration statistics. These methodological advancements are not only pivotal for the intrinsic value of the dataset but also adaptable for generating systematic migration statistics from other digital trace datasets in other contexts.https://doi.org/10.1038/s41597-025-04599-4 |
| spellingShingle | Paul Blanchard Stefania Rubrichi A highly granular temporary migration dataset derived from mobile phone data in Senegal Scientific Data |
| title | A highly granular temporary migration dataset derived from mobile phone data in Senegal |
| title_full | A highly granular temporary migration dataset derived from mobile phone data in Senegal |
| title_fullStr | A highly granular temporary migration dataset derived from mobile phone data in Senegal |
| title_full_unstemmed | A highly granular temporary migration dataset derived from mobile phone data in Senegal |
| title_short | A highly granular temporary migration dataset derived from mobile phone data in Senegal |
| title_sort | highly granular temporary migration dataset derived from mobile phone data in senegal |
| url | https://doi.org/10.1038/s41597-025-04599-4 |
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