Modeling the impact of twitter on influenza epidemics
Influenza remains a serious public-health problem worldwide. Therising popularity and scale of social networking sites such asTwitter may play an important role in detecting, affecting, andpredicting influenza epidemics. In this paper, we develop a simplemathematical model including the dynamics of...
Saved in:
Main Authors: | Kasia A. Pawelek, Anne Oeldorf-Hirsch, Libin Rong |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2014-08-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1337 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tweetluenza: Predicting Flu Trends from Twitter Data
by: Balsam Alkouz, et al.
Published: (2019-12-01) -
An SEI infection model incorporating media impact
by: Xuejuan Lu, et al.
Published: (2017-09-01) -
Prediction of influenza peaks in Russian cities: Comparing the accuracy of two SEIR models
by: Vasiliy N. Leonenko, et al.
Published: (2018-01-01) -
Modeling the control of infectious diseases: Effects of TV and social media advertisements
by: Arvind Kumar Misra, et al.
Published: (2018-11-01) -
Modelling seasonal influenza in Israel
by: Oren Barnea, et al.
Published: (2011-03-01)