ArticleComputers, environment and urban systems2022
Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic.
Article in Computers, environment and urban systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Spatial Mobility Change Among Older Chinese Immigrants During the COVID-19 Pandemic: The Role of Physical, Social, and Virtual Environmental Factors.International journal of environmental research and public health · 2025Article
- A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.Infectious Disease Modelling · 2024Article
- Research on the Stability and Response of Food Packaging Polystyrene Resin Materials to γ-ray Irradiation.ACS omega · 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
- Revealing associations between spatial time series trends of COVID-19 incidence and human mobility: an analysis of bidirectionality and spatiotemporal heterogeneity.International journal of health geographics · 2023Article
- Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile.Sustainable cities and society · 2023Article
- Predicting the impact of the COVID-19 pandemic on globalization.Journal of cleaner production · 2023Article
- Research progress in preparation, properties, and applications of medical protective fiber materials.Applied materials today · 2023Review
- A framework for modern time geography: emphasizing diverse constraints on accessibility.Journal of geographical systems · 2023Article
- Analysis of economic forecasting in the post-epidemic era: evidence from China.Scientific reports · 2023Article
- The impact of built and socio-economic environment factors on Covid-19 transmission at the ZIP-code level in Florida.Journal of environmental management · 2023Article
- Do regionally targeted lockdowns alter movement to non-lockdown regions? Evidence from Ontario, Canada.Health & place · 2023Article
- Exploring the Impact of Localized COVID-19 Events on Intercity Mobility during the Normalized Prevention and Control Period in China.International journal of environmental research and public health · 2022Article
- The role of the socio-economic context in the spread of the first wave of COVID-19 in the Marche Region (central Italy).International journal of disaster risk reduction : IJDRR · 2022Article
- Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities.SSM - population health · 2022Article
- The disturbance of urban mobility in the context of COVID-19 pandemic.Cities (London, England) · 2022Article
- Which factors influence mobility change during COVID-19 in Germany? Evidence from German county data.Regional science policy & practice · 2022Article
- SARS-CoV-2 Transmission Risk Model in an Urban Area of Mexico, Based on GIS Analysis and Viral Load.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Covid-19 interventions are greatly affecting patterns of human mobility. Changes in mobility during Covid-19 have differed across socio-economic gradients during the first wave. We use fine-scale network mobility data in Ontario, Canada to study the association between three different mobility measures and four socio-economic indicators throughout the first and second wave of Covid-19 (January to December 2020). We find strong associations between mobility and the socio-economic indicators and that relationships between mobility and other socio-economic indicators vary over time. We further demonstrate that understanding how mobility has changed in response to Covid-19 varies considerably depending on how mobility is measured. Our findings have important implications for understanding how mobility data should be used to study interventions across space and time. Our results support that Covid-19 non-pharmaceutical interventions have resulted in geographically disparate responses to mobility and quantifying mobility changes at fine geographical scales is crucial to understanding the impacts of Covid-19.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.