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A novel machine learning framework for comparison of viral COVID-19–related Sina Weibo and Twitter posts : workflow development and content analysis
Title
A novel machine learning framework for comparison of viral COVID-19–related Sina Weibo and Twitter posts : workflow development and content analysis
Author
Chen, Shi, Zhou, Lina, Song, Yunya, Xu, Qian, Wang, Ping, Wang, Kanlun, Ge, Yaorong, Janies, Daniel
Date Created
2021
Subjects--Topical
COVID-19 (Disease), Twitter (Firm), Social media, Machine learning
Description
Background: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and comp...
Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
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...
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...
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,...