Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches
Seasonal outbreaks have several different periods that occur primarily during winter in temperate regions, while influenza may occur throughout the year in tropical regions, triggering outbreaks more irregularly. Similarly, dengue occurs in the star of the rainy season in early May and reaches its p...
Saved in:
Main Authors: | Samina Amin, Muhammad Irfan Uddin, Duaa H. alSaeed, Atif Khan, Muhammad Adnan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/5520366 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Twitter Sentiment Analysis on Worldwide COVID-19 Outbreaks
by: Kamaran H. Manguri, et al.
Published: (2020-05-01) -
A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama
by: Grimaldo E. Ureña, et al.
Published: (2025-01-01) -
The utility of preemptive mass influenza vaccination in controlling a SARS outbreak during flu season
by: Qingling Zeng, et al.
Published: (2007-07-01) -
Sentence Embedding Based Semantic Clustering Approach for Discussion Thread Summarization
by: Atif Khan, et al.
Published: (2020-01-01) -
Tweetluenza: Predicting Flu Trends from Twitter Data
by: Balsam Alkouz, et al.
Published: (2019-12-01)