ArticleJournal of the Royal Society, Interface2021
Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods.
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 39 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Assessing the usefulness of digital contact tracing using real-world contact data.Scientific reports · 2026Article
- Relationship between household attributes and contact patterns in urban and rural South Africa.PloS one · 2026Article
- Contrasting pre-vaccine COVID-19 waves in Italy through functional data analysis.Scientific reports · 2025Article
- Explaining COVID-19 dynamics through user activity data from digital platforms with Yandex's self-isolation index as a case study.Scientific reports · 2025Article
- Socioeconomic determinants of protective behaviors and contact patterns in the post-COVID-19 pandemic era: A cross-sectional study in Italy.PLoS computational biology · 2025Article
- Article
- Mobile phone data analyses for public health research: a scoping review.Frontiers in public health · 2025Article
- Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries.EPJ data science · 2025Article
- Socioeconomic correlates of urban mobility trends in two Australian cities during transitional periods of the COVID-19 pandemic.Royal Society open science · 2025Article
- Generalized contact matrices allow integrating socioeconomic variables into epidemic models.Science advances · 2024Article
- Socio-economic pandemic modelling: case of Spain.Scientific reports · 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
- Article
- COVID-19 spread prediction using socio-demographic and mobility-related data.Cities (London, England) · 2023Article
- Assessment of Qol among COVID-19 Patients in South India: A Tertiary Care Center Study: An Original Research.Journal of pharmacy & bioallied sciences · 2023Article
- The effect of self-esteem on the spread of a pandemic. A cross-country analysis of the role played by self-esteem in the spread of the COVID-19 pandemic.Social science & medicine (1982) · 2023Article
- Unveiling the paths of COVID-19 in a large city based on public transportation data.Scientific reports · 2023Article
- Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023Article
- SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach.BMC public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After more than 1 year into the COVID-19 pandemic, governments worldwide still face the challenge of adopting non-pharmaceutical interventions to mitigate the risks posed by the emergence of new SARS-CoV-2 variants and the lack of a worldwide equitable vaccine allocation. Thus, it becomes crucial to identify the drivers of mobility responses to mitigation efforts during different restriction regimes, for planning interventions that are both economically and socially sustainable while effective in controlling an outbreak. Here, using anonymous and privacy-enhanced cell phone data from Italy, we investigate the determinants of spatial variations of reductions in mobility and co-location in response to the adoption and the lift of restrictions, considering both provinces and city neighbourhoods. In large urban areas, our analysis uncovers the desertification of historic city centres, which persisted after the end of the lockdown. Such centre-periphery gradient was mainly associated with differences in educational attainment. At the province level, the local structure of the labour market mainly explained the variations in mobility responses, together with other demographic factors, such as the population's age and sex composition. In the future, targeted interventions should take into account how the ability to comply with restrictions varies across geographical areas and socio-demographic groups.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.