ArticleJournal of exposure science & environmental epidemiology2019
Quantifying population exposure to air pollution using individual mobility patterns inferred from mobile phone data.
Article in Journal of exposure science & environmental epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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Who cites it
20 citing papers in PubMed.
- Estimating PM₂.₅-influenza risk using home-school-commute exposure modeling from hourly monitoring data: schoolchildren in Guangzhou, China, 2014-2019.BMC public health · 2026Article
- Robust Statistical Approaches to Understanding the Causal Effect of Air Pollution Mixtures.Research report (Health Effects Institute) · 2025Article
- The effect of recurrent mobility on air pollution exposure and mortality burden in Catalonia.International journal of health geographics · 2025Article
- Article
- Does residential address-based exposure assessment for outdoor air pollution lead to bias in epidemiological studies?Environmental health : a global access science source · 2024Review
- Statistical inference for complete and incomplete mobility trajectories under the flight-pause model.Journal of the Royal Statistical Society. Series C, Applied statistics · 2024Article
- Data Insights for Sustainable Cities: Associations between Google Street View-Derived Urban Greenspace and Google Air View-Derived Pollution Levels.Environmental science & technology · 2023Article
- Defining and Promoting Pediatric Pulmonary Health: Assessing Lung Function and Structure.Pediatrics · 2023Article
- High-resolution app data reveal sustained increases in recreational fishing effort in Europe during and after COVID-19 lockdowns.Royal Society open science · 2023Article
- Assessing socioeconomic bias of exposure to urban air pollution: an autopsy-based study in São Paulo, Brazil.Lancet regional health. Americas · 2023Article
- Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform.Transportation research record · 2023Article
- Automated classification of time-activity-location patterns for improved estimation of personal exposure to air pollution.Environmental health : a global access science source · 2022Article
- Air Pollution Increased the Demand for Gym Sports under COVID-19: Evidence from Beijing, China.International journal of environmental research and public health · 2022Article
- Imputation of missing time-activity data with long-term gaps: A multi-scale residual CNN-LSTM network model.Computers, environment and urban systems · 2022Article
- Evaluating water quality impacts on visitation to coastal recreation areas using data derived from cell phone locations.PloS one · 2022Article
- Assessing the Distribution of Air Pollution Health Risks within Cities: A Neighborhood-Scale Analysis Leveraging High-Resolution Data Sets in the Bay Area, California.Environmental health perspectives · 2021Article
- The Impact of Individual Mobility on Long-Term Exposure to Ambient PMInternational journal of environmental research and public health · 2021Article
- Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment.Toxics · 2020Review
- Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine.Journal of travel medicine · 2019Review
- A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology.Environment international · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A critical question in environmental epidemiology is whether air pollution exposures of large populations can be refined using individual mobile-device-based mobility patterns. Cellular network data has become an essential tool for understanding the movements of human populations. As such, through inferring the daily home and work locations of 407,435 mobile phone users whose positions are determined, we assess exposure to PM
Indexed as
Identifiers
29700403What 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.