Exploring regional air pollution transition dynamics: A multi-state markov model approach.

ABSTRACT:

Background

Air pollution, commonly measured by the Air Quality Index (AQI), is a significant global health risk, yet its transition dynamics remain poorly understood. This study aims to investigate the regional air pollution transition dynamics across different air quality states.

Materials and methods

We analyzed weekly average Air Quality Index (AQI) data from January to September 2024 for 19 countries across Asia, Africa, and Europe, collected from an open-access air quality monitoring platform. According to international standards, AQI was categorized into three states (Good, Unhealthy, Very Unhealthy). We applied a multi-state Markov model to assess weekly transitions between these states and estimate the average time spent in one state before transition.

Results

SUBMITTER: Hossain MI 

PROVIDER: S-EPMC12503330 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature