airexposed

Airexposed is a term used to describe approaches and tools for assessing an individual’s exposure to airborne pollutants. It combines a person’s location and activities with ambient air quality data to estimate the pollutants they inhale over time. The concept appears in environmental health, urban planning, and consumer health contexts.

The focus is on personal exposure rather than general air quality. Airexposed differentiates ambient concentrations from the actual dose by integrating data models, sensor inputs, and activity patterns to yield exposure estimates and, in some cases, inhaled dose.

Data sources typically include official air quality networks, low-cost sensors, satellite observations, weather data, and self-reported or wearable activity information. Methods map pollutant concentrations to time and place, apply time-activity modeling, and compute exposure metrics such as mean exposure, time-weighted exposure, or peak exposure.

Applications span epidemiological research, public health messaging, occupational safety, and consumer health tools. It can inform urban design decisions to reduce exposure and guide individuals toward lower-exposure choices.

Challenges include data quality and coverage, sensor calibration, privacy concerns, and a lack of standardized exposure metrics. Equity considerations arise because exposure often tracks neighborhood characteristics and access to technology.

The field is evolving with sensor networks, mobile computing, and machine learning to improve spatial resolution and predictive accuracy. Because methods and data vary, airexposed remains a broad concept rather than a single technology.

See also environmental health, air quality index, exposure assessment.