Search results
-
-
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...
-
-
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
-
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...
