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Associations between COVID-19 pandemic, lockdown measures and human mobility : longitudinal evidence from 86 countries
Title
Associations between COVID-19 pandemic, lockdown measures and human mobility : longitudinal evidence from 86 countries
Author
Thill, Jean-Claude, Rahman, Md. Mokhlesur
Date Created
2022
Subjects--Topical
Social distancing (Public health), COVID-19 (Disease)
Description
Recognizing an urgent need to understand the dynamics of the pandemic's severity, this longitudinal study is conducted to explore the evolution of complex relationships between the COVID-19 pandemic, lockdown measures, and social distancing patter...
COVID-19 pandemic severity, lockdown regimes, and people’s mobility : early evidence from 88 countries
Title
COVID-19 pandemic severity, lockdown regimes, and people’s mobility : early evidence from 88 countries
Author
Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
Subjects--Topical
Public health, COVID-19 (Disease), Social distancing (Public health)
Description
This study empirically investigates the complex interplay between the severity of the coronavirus pandemic, mobility changes in retail and recreation, transit stations, workplaces, and residential areas, and lockdown measures in 88 countries aroun...
Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
Title
Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
Author
Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
Date Created
2021
Subjects--Topical
Machine learning, COVID-19 (Disease)
Description
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 implem...
Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
Title
Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
Author
Thill, Jean-Claude, Hatami, Faizeh, Rahman, Md. Mokhlesur, Nikparvar, Behnam
Date Created
2023
Subjects--Topical
Commuting, Statistics
Description
The study of commuting mode choice is crucial since driving, with all its associated environmental and economic consequences, is the United States' most popular mode of transportation due to urban sprawl, priority to road construction and America'...
Public perceptions of COVID-19 vaccines : policy implications from us spatiotemporal sentiment analytics
Title
Public perceptions of COVID-19 vaccines : policy implications from us spatiotemporal sentiment analytics
Author
Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
Date Created
2021
Subjects--Topical
Sentiment analysis, COVID-19 (Disease)
Description
There is a compelling and pressing need to better understand the temporal dynamics of public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for facilitating appropriate public policy applications. Our analysis of ...
Spatio-temporal prediction of the COVID-19 pandemic in US counties : modeling with a deep LSTM neural network
Title
Spatio-temporal prediction of the COVID-19 pandemic in US counties : modeling with a deep LSTM neural network
Author
Thill, Jean-Claude, Nikparvar, Behnam, Rahman, Md. Mokhlesur, Hatami, Faizeh
Date Created
2021
Subjects--Topical
Epidemiology, COVID-19 (Disease)
Description
Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commonly used compartmental models struggle to handle an epidemiological process that evolves rapidly and is spatially heterogeneous. On the other hand,...