Retrospectively understanding the multifaceted interplay of COVID-19 outbreak, air pollution, and sociodemographic factors through explainable AI

Retrospectively understanding the multifaceted interplay of COVID-19 outbreak, air pollution, and sociodemographic factors through explainable AI

This study aims to holistically comprehend the intricate dynamics between air pollution, socio-demographics, and COVID-19 outcomes in India. The primary objective centers on deploying explainable AI (XAI) methodologies to elucidate the intricate pathways and latent mechanisms governing these associa...

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Bibliographic Details
Main Authors: Mohmmed Talib, Kripabandhu Ghosh, Gopala Krishna Darbha
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Hygiene and Environmental Health Advances
Subjects:
Air pollution
COVID-19
Machine learning
Explainable AI (XAI)
Health management
Online Access:http://www.sciencedirect.com/science/article/pii/S2773049225000029
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