Name
Title | ||
|---|---|---|
Effective surveillance and predictive mapping of mosquito-borne diseases using social media. |
Abstract | ||
|---|---|---|
•An intelligent surveillance process model for decision making during mosquito-borne disease outbreak has been presented.•Standard kernel density estimate (KDE) with important factors derived from Twitter and RSS feeds has been utilized.•Experiments show that the proposed method has a positive effect in comparison to traditional surveillance techniques. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jocs.2017.07.003 | Journal of Computational Science |
Keywords | Field | DocType |
Mosquito-borne diseases,Twitter,Medical informatics,Classification,LDA,Kernel density,Sentiment analysis | Data mining,Behavioral pattern,Latent Dirichlet allocation,Naive Bayes classifier,Sentiment analysis,Computer science,Emergency management,Disease surveillance,Artificial intelligence,Topic model,RSS,Machine learning | Journal |
Volume | ISSN | Citations |
25 | 1877-7503 | 3 |
PageRank | References | Authors |
0.42 | 15 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vinay Kumar Jain | 1 | 3 | 0.42 |
| Shishir Kumar | 2 | 78 | 17.06 |