Search results | J. Murrey Atkins Library

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...

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...

Title: Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
Author: Thill, Jean-Claude, Janies, Daniel, Chen, Shi, Paul, Rajib
Date Created: 2021
Subjects--Topical: Deep learning (Machine learning), COVID-19 (Disease)
Description: Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially...

Title: Impact of SARS-CoV-2 vaccination of children ages 5-11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021-March 2022 : A multi-model study
Author: Janies, Daniel, Chen, Shi, Thill, Jean-Claude
Date Created: 2023
Subjects--Topical: Communicable diseases, COVID-19 (Disease)
Description: Background The COVID-19 Scenario Modeling Hub convened nine modeling teams to project the impact of expanding SARS-CoV-2 vaccination to children aged 5-11 years on COVID-19 burden and resilience against variant strains. Methods Teams contributed s...

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...

Title: Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
Author: Thill, Jean-Claude, Janies, Daniel, Chen, Shi
Date Created: 2022
Subjects--Topical: COVID-19 (Disease), Vaccination
Description: In Spring 2021, the highly transmissible SARS-CoV-2 Delta variant began to cause increases in cases, hospitalizations, and deaths in parts of the United States. At the time, with slowed vaccination uptake, this novel variant was expected to increa...

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 ...

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,...