ArticleJournal of exposure science & environmental epidemiology2019
Population dynamics based on mobile phone data to improve air pollution exposure assessments.
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 11 papers.
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
11 citing papers in PubMed, 70 citations in OpenAlex.
- The effect of recurrent mobility on air pollution exposure and mortality burden in Catalonia.International journal of health geographics · 2025Article
- Article
- Ultra-high-resolution mapping of ambient fine particulate matter to estimate human exposure in Beijing.Communications earth & environment · 2023Article
- Long-term exposure and health risk assessment from air pollution: impact of regional scale mobility.International journal of health geographics · 2023Article
- Spatio-Temporal Variation-Induced Group Disparity of Intra-Urban NOInternational journal of environmental research and public health · 2022Article
- Influence of environmental drivers on allergy to pollen grains in a case study in Spain (Madrid): meteorological factors, pollutants, and airborne concentration of aeroallergens.Environmental science and pollution research international · 2021Article
- The Impact of Individual Mobility on Long-Term Exposure to Ambient PMInternational journal of environmental research and public health · 2021Article
- Evaluation of home detection algorithms on mobile phone data using individual-level ground truth.EPJ data science · 2021Article
- Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment.Toxics · 2020Review
- Integrating Modes of Transport in a Dynamic Modelling Approach to Evaluate Population Exposure to Ambient NOInternational journal of environmental research and public health · 2020Article
- Integration of Remote Sensing and Social Sensing Data in a Deep Learning Framework for Hourly Urban PMInternational journal of environmental research and public health · 2019Article
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Air pollution is one of the greatest challenges cities are facing today and improving air quality is a pressing need to reduce negative health impacts. In order to efficiently evaluate which are the most appropriate policies to reduce the impact of urban pollution sources (such as road traffic), it is essential to conduct rigorous population exposure assessments. One of the main limitations associated with those studies is the lack of information about population distribution in the city along the day (population dynamics). The pervasive use of mobile devices in our daily lives opens new opportunities to gather large amounts of anonymized and passively collected geolocation data allowing the analysis of population activity and mobility patterns. This study presents a novel methodology to estimate population dynamics from mobile phone data based on a user-centric mobility model approach. The methodology was tested in the city of Madrid (Spain) to evaluate population exposure to NO
Indexed as
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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.