Search results

  • CSV Spreadsheet
  • RSS Feed
(1 - 4 of 4)
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...
Patch dynamics modeling framework from pathogens' perspective : Unified and standardized approach for complicated epidemic systems
Title
Patch dynamics modeling framework from pathogens' perspective : Unified and standardized approach for complicated epidemic systems
Author
Janies, Daniel, Chen, Shi, Lo, Eugenia, Dulin, Michael
Date Created
2020
Subjects--Topical
Communicable diseases, Biology
Description
Mathematical models are powerful tools to investigate, simulate, and evaluate potential interventions for infectious diseases dynamics. Much effort has focused on the Susceptible-Infected-Recovered (SIR)-type compartment models. These models consi...
Four challenges associated with current mathematical modeling paradigm of infectious diseases and call for a shift
Title
Four challenges associated with current mathematical modeling paradigm of infectious diseases and call for a shift
Author
Janies, Daniel, Chen, Shi, Robinson, Patrick, Dulin, Michael
Date Created
2020
Subjects--Topical
Communicable diseases, Biology
Description
Mathematical models are critical tools to characterize COVID-19 dynamics and take action accordingly. We identified 4 major challenges associated with the current modeling paradigm (SEIR) that hinder the efforts to accurately characterize the emer...
Content and sentiment surveillance (CSI) : A critical component for modeling modern epidemics
Title
Content and sentiment surveillance (CSI) : A critical component for modeling modern epidemics
Author
Janies, Daniel, Chen, Shi, Zhang, Dongsong
Date Created
2023
Subjects--Topical
Communicable diseases, Biology
Description
Comprehensive surveillance systems are the key to provide accurate data for effective modeling. Traditional symptom-based case surveillance has been joined with recent genomic, serologic, and environment surveillance to provide more integrated dis...