Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review
Abstract
The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and non-pharmaceutical interventions of lockdown and confinement implemented citywide, regionally or nationally are affecting virus transmission, people’s travel patterns, and air quality. Many studies have been conducted to predict the diffusion of the COVID-19 disease,...
Paper Details
Title
Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review
Published Date
May 11, 2021
Journal
Volume
9
Pages
72420 - 72450
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