Extending Participatory Sensing to Personal Exposure Using Microscopic Land Use Regression Models.

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 wor

SUBMITTER: Dekoninck L 

PROVIDER: S-EPMC5486272 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature