Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review
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 affectin...
Main Authors: | Md. Mokhlesur Rahman, Kamal Chandra Paul, Md. Amjad Hossain, G. G. Md. Nawaz Ali, Md. Shahinoor Rahman, Jean-Claude Thill |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9427494/ |
Similar Items
-
Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics
by: G. G. Md. Nawaz Ali, et al.
Published: (2021-08-01) -
Decline in Mobility: Public Transport in Poland in the time of the COVID-19 Pandemic
by: Michał Wielechowski, et al.
Published: (2020-09-01) -
Change in the Mobility of Polish Residents during the Covid-19 Pandemic
by: Piotr Gorzelańczyk
Published: (2022-07-01) -
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
by: Jim Samuel, et al.
Published: (2020-06-01) -
Editorial: Reflections on human mobility in pandemic and post-pandemic times
by: Josefina Domínguez-Mujica, et al.
Published: (2022-10-01)