Breathing Smart: Advanced Models and Metrics for Accurate Air Quality Prediction and Health Impact Analysis

Abstract

In recent years, air quality has become a critical concern for human health, with the rise of industrialization and urbanization significantly contributing to air pollution. This paper explores the prediction of air quality and its impact on public health through a comprehensive analysis of various air quality parameters, including PM2.5, PM10, NOx, SO2, CO, and ozone (O3), among others. Furthermore, the study introduces a Health Impact Score to quantify the adverse health effects caused by deteriorating air quality, particularly focusing on respiratory and cardiovascular diseases. Through correlation analysis and the use of real-world data, we aim to provide an accurate model to predict both the Air Quality Index (AQI) and the Health Impact Score, which can guide policy makers and public health organizations in addressing the environmental health challenges posed by poor air quality.