ArticleEnvironmental health perspectives2022
Bring Your Own Location Data: Use of Google Smartphone Location History Data for Environmental Health Research.
Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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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
10 citing papers in PubMed.
- Invited Perspective: How Do Green- and Bluespaces Reduce Heat-Related Health Risks? Gaining New Insights from Street-View Imagery, Deep Learning Models, and Smartphone Data.Environmental health perspectives · 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
- Historical Neighborhood Redlining and Fertility in a Cohort of US Black Women.Epidemiology (Cambridge, Mass.) · 2026Article
- Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review.Current environmental health reports · 2025Review
- Measuring Psychological Well-Being and Behaviors Using Smartphone-Based Digital Phenotyping: An Intensive Longitudinal Observational mHealth Pilot Study Embedded in a Prospective Cohort of Women.JMIR mHealth and uHealth · 2025Observational
- Invited commentary: improving spatial exposure data for everyone-life-course social context and ascertaining residential history.American journal of epidemiology · 2025Article
- Use of individual Google Location History data to identify consumer encounters with food outlets.International journal of health geographics · 2025Article
- Neighborhood built environment, obesity, and diabetes: A Utah siblings study.SSM - population health · 2024Article
- Article
- Invited Perspective: Can My Smartphone Assess My Exposure? The Potential to Retroactively Estimate Personalized Exposures using Smartphone Location Data.Environmental health perspectives · 2022Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundEnvironmental exposures are commonly estimated using spatial methods, with most epidemiological studies relying on home addresses. Passively collected smartphone location data, like Google Location History (GLH) data, may present an opportunity to integrate existing long-term time-activity data.
objectivesWe aimed to evaluate the potential use of GLH data for capturing long-term retrospective time-activity data for environmental health research.
methodsWe included 378 individuals who participated in previous Global Positioning System (GPS) studies within the Washington State Twin Registry. GLH data consists of location information that has been routinely collected since 2010 when location sharing was enabled within android operating systems or Google apps. We created instructions for participants to download their GLH data and provide it through secure data transfer. We summarized the GLH data provided, compared it to available GPS data, and conducted an exposure assessment for nitrogen dioxide (
resultsOf 378 individuals contacted, we received GLH data from 61 individuals (16.1%) and 53 (14.0%) indicated interest but did not have historical GLH data available. The provided GLH data spanned 2010-2021 and included DISCUSSION: We believe collecting GLH data is a feasible and cost-effective method for capturing retrospective time-activity patterns for large populations that presents new opportunities for environmental epidemiology. Cohort studies should consider adding GLH data collection to capture historical time-activity patterns of participants, employing a "bring-your-own-location-data" citizen science approach. Privacy remains a concern that needs to be carefully managed when using GLH data. https://doi.org/10.1289/EHP10829.
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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.