Construction of an Improved Air Quality Index: A Case Report

Abstract

We report a case to provide an improved air quality index (AQI) based upon association between individual health risk and Particulate matter (PM2.5) exposure. A Poisson sampling distribution model was used to quantify the health risk, in which the coefficient of exposure-response was derived from a simple Meta-analysis. The result shows that the old people are the most vulnerable population while exposing to PM2.5, for which they are advised to reduce intensity of their physical activities. It is expected that this study is insightful to create a nexus between air quality information and public communication, which help publics take appropriate actions on health protection.

Keywords

• Air quality index
• PM2.5
• Health risk