ArticleNature human behaviour2020
Mapping global variation in human mobility.
Article in Nature human behaviour, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 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
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk.BMC infectious diseases · 2023Pooled it
- Malaria Prevalence Near African Mangroves: Negative Association With Mangrove Extent, but Positive Association With Mangrove Greenness.Global change biology · 2026Article
- Structural inequality shapes the daily rhythm of stationarity and mobility.Nature communications · 2026Article
- Household mobility responses to weather extremes in Kyrgyzstan.Nature communications · 2026Article
- Understanding human mobility patterns under a public health emergency.Infectious Disease Modelling · 2026Article
- A computational framework for agent-based assessment of multiple environmental exposures.Journal of exposure science & environmental epidemiology · 2026Article
- Varying relationships between experienced income segregation and travel behaviour across neighbourhood social and urban contexts.Nature communications · 2025Article
- Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review.Infectious diseases of poverty · 2025Article
- Article
- Unraveling urban dynamics: Scaling laws of human mobility across the cityscape divide.Fundamental research · 2025Article
- Using step selection functions to analyse human mobility using telemetry data in infectious disease epidemiology: a case study of leptospirosis.medRxiv : the preprint server for health sciences · 2025Article
- Explorative pedestrian mobility geolocated data from a citizen science experiment in a neighbourhood.Scientific data · 2025Article
- Unveiling the Spatiotemporal Dynamics of Global Brain Circulation: A Comprehensive Corpus (2000-2024).Scientific data · 2025Article
- International importance and spread of SARS-CoV-2 variants Alpha, Delta, and Omicron BA.1 into Spain.Communications medicine · 2025Article
- Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile.PLoS computational biology · 2025Article
- Review
- Transforming CCTV cameras into NOScientific reports · 2025Article
- Mapping seasonal human mobility across Africa using mobile phone location history and geospatial data.Research square · 2025Article
- Routes of importation and spatial dynamics of SARS-CoV-2 variants during localized interventions in Chile.PNAS nexus · 2024Article
- Spatial scales of COVID-19 transmission in Mexico.PNAS nexus · 2024Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The geographic variation of human movement is largely unknown, mainly due to a lack of accurate and scalable data. Here we describe global human mobility patterns, aggregated from over 300 million smartphone users. The data cover nearly all countries and 65% of Earth's populated surface, including cross-border movements and international migration. This scale and coverage enable us to develop a globally comprehensive human movement typology. We quantify how human movement patterns vary across sociodemographic and environmental contexts and present international movement patterns across national borders. Fitting statistical models, we validate our data and find that human movement laws apply at 10 times shorter distances and movement declines 40% more rapidly in low-income settings. These results and data are made available to further understanding of the role of human movement in response to rapid demographic, economic and environmental changes.
Indexed as
Identifiers
32424257What 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.