Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866913525748727808 |
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| author | Lucchini, Lorenzo Langle-Chimal, Ollin Candeago, Lorenzo Melito, Lucio Chunet, Alex Montfort, Aleister Lepri, Bruno Lozano-Gracia, Nancy Fraiberger, Samuel P. |
| author_facet | Lucchini, Lorenzo Langle-Chimal, Ollin Candeago, Lorenzo Melito, Lucio Chunet, Alex Montfort, Aleister Lepri, Bruno Lozano-Gracia, Nancy Fraiberger, Samuel P. |
| contents | Mobile phone data have played a key role in quantifying human mobility during the COVID-19 pandemic. Existing studies on mobility patterns have primarily focused on regional aggregates in high-income countries, obfuscating the accentuated impact of the pandemic on the most vulnerable populations. Leveraging geolocation data from mobile-phone users and population census for 6 middle-income countries across 3 continents between March and December 2020, we uncovered common disparities in the behavioral response to the pandemic across socioeconomic groups. Users living in low-wealth neighborhoods were less likely to respond by self-isolating, relocating to rural areas, or refraining from commuting to work. The gap in the behavioral responses between socioeconomic groups persisted during the entire observation period. Among users living in low-wealth neighborhoods, those who commute to work in high-wealth neighborhoods pre-pandemic were particularly at risk of experiencing economic stress, facing both the reduction in economic activity in the high-wealth neighborhood and being more likely to be affected by public transport closures due to their longer commute distances. While confinement policies were predominantly country-wide, these results suggest that, when data to identify vulnerable individuals are not readily available, GPS-based analytics could help design targeted place-based policies to aid the most vulnerable. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_06888 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries Lucchini, Lorenzo Langle-Chimal, Ollin Candeago, Lorenzo Melito, Lucio Chunet, Alex Montfort, Aleister Lepri, Bruno Lozano-Gracia, Nancy Fraiberger, Samuel P. Physics and Society Computers and Society General Economics Economics Mobile phone data have played a key role in quantifying human mobility during the COVID-19 pandemic. Existing studies on mobility patterns have primarily focused on regional aggregates in high-income countries, obfuscating the accentuated impact of the pandemic on the most vulnerable populations. Leveraging geolocation data from mobile-phone users and population census for 6 middle-income countries across 3 continents between March and December 2020, we uncovered common disparities in the behavioral response to the pandemic across socioeconomic groups. Users living in low-wealth neighborhoods were less likely to respond by self-isolating, relocating to rural areas, or refraining from commuting to work. The gap in the behavioral responses between socioeconomic groups persisted during the entire observation period. Among users living in low-wealth neighborhoods, those who commute to work in high-wealth neighborhoods pre-pandemic were particularly at risk of experiencing economic stress, facing both the reduction in economic activity in the high-wealth neighborhood and being more likely to be affected by public transport closures due to their longer commute distances. While confinement policies were predominantly country-wide, these results suggest that, when data to identify vulnerable individuals are not readily available, GPS-based analytics could help design targeted place-based policies to aid the most vulnerable. |
| title | Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries |
| topic | Physics and Society Computers and Society General Economics Economics |
| url | https://arxiv.org/abs/2305.06888 |