Distributions of Human Exposure to Ozone During Commuting Hours in Connecticut using the Cellular Device Network
| Autor: | Michael J. Kane, Simon Urbanek, Owais Gilani |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
FOS: Computer and information sciences Ozone 010504 meteorology & atmospheric sciences Population 02 engineering and technology Health outcomes 01 natural sciences Statistics - Applications chemistry.chemical_compound Environmental health Maximum difference 0202 electrical engineering electronic engineering information engineering Applications (stat.AP) education 0105 earth and related environmental sciences General Environmental Science Pollutant education.field_of_study Air pollutant concentrations Applied Mathematics Individual mobility 020206 networking & telecommunications Agricultural and Biological Sciences (miscellaneous) chemistry Human exposure Environmental science Statistics Probability and Uncertainty General Agricultural and Biological Sciences |
| Popis: | Epidemiologic studies have established associations between various air pollutants and adverse health outcomes for adults and children. Due to high costs of monitoring air pollutant concentrations for subjects enrolled in a study, statisticians predict exposure concentrations from spatial models that are developed using concentrations monitored at a few sites. In the absence of detailed information on when and where subjects move during the study window, researchers typically assume that the subjects spend their entire day at home, school, or work. This assumption can potentially lead to large exposure assignment bias. In this study, we aim to determine the distribution of the exposure assignment bias for an air pollutant (ozone) when subjects are assumed to be static as compared to accounting for individual mobility. To achieve this goal, we use cell-phone mobility data on approximately 400,000 users in the state of Connecticut, USA during a week in July 2016, in conjunction with an ozone pollution model, and compare individual ozone exposure assuming static versus mobile scenarios. Our results show that exposure models not taking mobility into account often provide poor estimates of individuals commuting into and out of urban areas: the average 8-h maximum difference between these estimates can exceed 80 parts per billion (ppb). However, for most of the population, the difference in exposure assignment between the two models is small, thereby validating many current epidemiologic studies focusing on exposure to ozone. Supplementary materials accompanying this paper appear online. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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