Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 48 8 2019 07 18 1523 1527 Rui ZHAO Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China AND Sichuan Province Cyclic Economy Research Center, Southwest University of Science and Technology, Mianyang 621010, China Yibo ZHANG Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China Sidai GUO Sichuan Province Cyclic Economy Research Centre, Southwest University of Science and Technology, Mianyang 621010, China 2019 07 18 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.      https://ijph.tums.ac.ir/index.php/ijph/article/view/17827 https://ijph.tums.ac.ir/index.php/ijph/article/download/17827/6481