ArticleJournal of the Royal Society, Interface2021
COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour.
Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- From crisis to new routine: shifts in urban shopping mobility and socioeconomic inequality during and after the COVID-19 shock.Frontiers in big data · 2026Article
- Individual and neighborhood based socioeconomic factors relevant for contact behaviour and epidemic control.Communications medicine · 2025Article
- Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile.PLoS computational biology · 2025Article
- Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries.EPJ data science · 2025Article
- Generalized contact matrices allow integrating socioeconomic variables into epidemic models.Science advances · 2024Article
- On an Aggregated Estimate for Human Mobility Regularities through Movement Trends and Population Density.Entropy (Basel, Switzerland) · 2024Article
- Mobility changes following COVID-19 stay-at-home policies varied by socioeconomic measures: An observational study in Ontario, Canada.PLOS global public health · 2024Article
- A network-based analysis to assess COVID-19 disruptions in the Bogotá BRT system.Environment and planning. B, urban analytics and city science · 2023Article
- The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 pandemic in Colombia, Ecuador, and El Salvador.EPJ data science · 2023Article
- Impact of network centrality and income on slowing infection spread after outbreaks.Applied network science · 2023Article
- Uncovering commercial activity in informal cities.Royal Society open science · 2022Article
- Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas.Sustainable cities and society · 2022Article
- Addressing the socioeconomic divide in computational modeling for infectious diseases.Nature communications · 2022Article
- Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods.Journal of the Royal Society, Interface · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Countries and cities around the world have resorted to unprecedented mobility restrictions to combat COVID-19 transmission. Here we exploit a natural experiment whereby Colombian cities implemented varied lockdown policies based on ID number and gender to analyse the impact of these policies on urban mobility. Using mobile phone data, we find that the restrictiveness of cities' mobility quotas (the share of residents allowed out daily according to policy advice) does not correlate with mobility reduction. Instead, we find that larger, wealthier cities with more formalized and complex industrial structure experienced greater reductions in mobility. Within cities, wealthier residents are more likely to reduce mobility, and commuters are especially more likely to stay at home when their work is located in wealthy or commercially/industrially formalized neighbourhoods. Hence, our results indicate that cities' employment characteristics and work-from-home capabilities are the primary determinants of mobility reduction. This finding underscores the need for mitigations aimed at lower income/informal workers, and sheds light on critical dependencies between socio-economic classes in Latin American cities.
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