No Country for Old Men. Assessing Socio-Spatial Relationships Between Air Quality Perceptions and Exposures in Southern Chile.
Àlex BosoAner MartínezMarcelo SomosBoris ÁlvarezConstanza AvedañoÁlvaro HofflingerPublished in: Applied spatial analysis and policy (2022)
An extensive body of research has been noted that many socially deprived communities tend to live in areas characterized by higher levels of outdoor air pollution. Whilst there is an expanding literature documenting this disproportionate distribution, most previous studies have taken place in the Global North, have focused with industrial or vehicle air pollution sources and have tend to ignore the complex interactions between exposures, public perceptions and social factors. In this paper, we investigate the social vulnerability to and risk perceptions of air pollution sourced from domestic heating in two Chilean cities with particularly high levels of PM 2.5 during winter months. To this end, we integrate primary survey data, with geographically detailed estimates of air pollution exposures and area-level characteristics obtained from the Chilean Census. We first examine the spatial distribution of PM 2.5 exposures and air quality perceptions, and subsequently explore relationships between socio-demographic characteristics, air pollution exposure, and health concerns. Our results revel evident spatial patterns of dispersion, with some neighborhoods being more polluted than others. Age and percentage of roofs in poor condition in the participant's census tract are the best predictors of PM 2.5 exposure. We find no correlation between perceived and real levels of contamination. Our multivariate analysis indicates that personal perceptions of air quality are significantly associated with age, gender, family structure, and heating behaviors. Such detailed depictions provide insights into potential meaningful strategies to improve air quality and highlight the need to incorporate measures to better protect older adults.
Keyphrases
- air pollution
- healthcare
- particulate matter
- mental health
- lung function
- primary care
- systematic review
- physical activity
- heavy metals
- risk assessment
- public health
- machine learning
- wastewater treatment
- human health
- emergency department
- health information
- electronic health record
- social media
- deep learning
- drug induced
- data analysis