ArticleJournal of exposure science & environmental epidemiology2014
GPS-based microenvironment tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: model evaluation in central North Carolina.
Article in Journal of exposure science & environmental epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Citizen Science in Air Pollution Monitoring: Methodological Approaches, Effectiveness, and Integration with Health Research.Current environmental health reports · 2026Review
- A characterization of infants' and children's time-activity patterns for use in soil and dust exposure estimation.Journal of exposure science & environmental epidemiology · 2026Article
- TracMyAir smartphone application for modeling exposures to PMThe Science of the total environment · 2025Article
- Relationship between traffic-related air pollution and inflammation biomarkers using structural equation modeling.The Science of the total environment · 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
- Integrating Personal Air Sensor and GPS to Determine Microenvironment-Specific Exposures to Volatile Organic Compounds.Sensors (Basel, Switzerland) · 2021Article
- Use of wearable sensors to assess compliance of asthmatic children in response to lockdown measures for the COVID-19 epidemic.Scientific reports · 2021Article
- The Impact of Individual Mobility on Long-Term Exposure to Ambient PMInternational journal of environmental research and public health · 2021Article
- The MEDEA childhood asthma study design for mitigation of desert dust health effects: implementation of novel methods for assessment of air pollution exposure and lessons learned.BMC pediatrics · 2021Article
- Prediction of human active mobility in rural areas: development and validity tests of three different approaches.Journal of exposure science & environmental epidemiology · 2020Article
- Children's microenvironmental exposure to PMJournal of exposure science & environmental epidemiology · 2020Article
- Measuring Environmental Exposure to Enteric Pathogens in Low-Income Settings: Review and Recommendations of an Interdisciplinary Working Group.Environmental science & technology · 2020Review
- Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment.Toxics · 2020Review
- Fine-Scale Modeling of Individual Exposures to Ambient PMAtmosphere · 2020Article
- Development of TracMyAir Smartphone Application for Modeling Exposures to Ambient PMInternational journal of environmental research and public health · 2019Article
- A Time-Based Objective Measure of Exposure to the Food Environment.International journal of environmental research and public health · 2019Article
- Personal Exposure to PMEnvironmental science & technology · 2018Article
- Are disadvantaged children more likely to be excluded from analysis when applying global positioning systems inclusion criteria?BMC research notes · 2018Article
- Modeling individual exposures to ambient PMThe Science of the total environment · 2018Article
- Assessing and enhancing the utility of low-cost activity and location sensors for exposure studies.Environmental monitoring and assessment · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
A critical aspect of air pollution exposure assessment is the estimation of the time spent by individuals in various microenvironments (ME). Accounting for the time spent in different ME with different pollutant concentrations can reduce exposure misclassifications, while failure to do so can add uncertainty and bias to risk estimates. In this study, a classification model, called MicroTrac, was developed to estimate time of day and duration spent in eight ME (indoors and outdoors at home, work, school; inside vehicles; other locations) from global positioning system (GPS) data and geocoded building boundaries. Based on a panel study, MicroTrac estimates were compared with 24-h diary data from nine participants, with corresponding GPS data and building boundaries of home, school, and work. MicroTrac correctly classified the ME for 99.5% of the daily time spent by the participants. The capability of MicroTrac could help to reduce the time-location uncertainty in air pollution exposure models and exposure metrics for individuals in health studies.
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.