Skip to content

An examination of predictive disease saliency in social networks and the potential application of network analysis in locating disease spread

License

Notifications You must be signed in to change notification settings

mananshah99/diseasenetworks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Social Network Disease Analysis

Manan A. Shah 1 and Rok Sosic 2

1Student at the Harker School, San Jose, CA, USA
2The InfoLab, Stanford University School of Engineering, Stanford, CA, USA

Figure 1: An illustration of disease spread across a real airport network as a function of time.

Disease spread, both locally and across continents, has been studied in various medical contexts; however, the problem has yet to be thoroughly analyzed from an informatics standpoint. In this work, we plan to incorporate the vast array of big data presently available--specifically tweets on the social media site Twitter--in an attempt to model and predict disease genesis and dispersion over time. We further work towards generating cohesive equation-based models in the hope of comparing the results obtained from social media with both CDC ILI distributions and simulation curves.

About

An examination of predictive disease saliency in social networks and the potential application of network analysis in locating disease spread

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages