Abstract
Personal exposure is sensitive to the personal features and behavior of the individual, and including interpersonal variability will improve the health and quality of life evaluations. Participatory sensing assesses the spatial and temporal variability of environmental indicators and is used to quantify this interpersonal variability. Transferring the participatory sensing information to a specific study population is a basic requirement for epidemiological studies in the near future. We propose a methodology to reduce the void between participatory sensing and health research. Instantaneous microscopic land-use regression modeling (µLUR) is an innovative approach. Data science techniques extract the activity-specific and route-sensitive spatiotemporal variability from the data. A data workflow to prepare and apply µLUR models to any mobile population is presented. The µLUR technique and data workflow are illustrated with models for exposure to traffic related Black Carbon. The example µLURs are available for three micro-environments; bicycle, in-vehicle, and indoor. Instantaneous noise assessments supply instantaneous traffic information to the µLURs. The activity specific models are combined into an instantaneous personal exposure model for Black Carbon. An independent external validation reached a correlation of 0.65. The µLURs can be applied to simulated behavioral patterns of individuals in epidemiological cohorts for advanced health and policy research.
Highlights
In recent literature, the investigation of the health effects due to multiple simultaneous exposures to environmental stressors is referred to as the “eco-exposome”
Instantaneous microscopic land-use regression modeling is an innovative method based on data science techniques to model participatory sensing data
The data workflow is capable of extrapolating the activity specific μLURs to any mobile population
Summary
The investigation of the health effects due to multiple simultaneous exposures to environmental stressors is referred to as the “eco-exposome”. It is the sum of all environmental burdens to which a person is exposed and its main purpose is to address, interpret, and disentangle the health effects of the different stressors. The first set of recommendations addresses the more general concerns on the highly multidisciplinary nature of the exposure field and expresses the need to align research from many different fields. The research should result in better support of regulatory and societal challenges. The scientific efforts have to result in better human and ecosystem protection. The gathering of data in this field through participatory sensing campaigns and mobile measurements is expensive and
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