Search results | J. Murrey Atkins Library

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,...

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: 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 ...