Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time.
Circulating levels of both seasonal and pandemic influenza require constant surveillance to ensure the health and safety of the population. While up-to-date information is critical, traditional surveillance systems can have data availability lags of up to two weeks. We introduce a novel method of es...
Main Authors: | David J McIver, John S Brownstein |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-04-01
|
Series: | PLoS Computational Biology |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24743682/pdf/?tool=EBI |
Similar Items
-
A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data.
by: Giovanni De Toni, et al.
Published: (2021-01-01) -
Flu Near You: Crowdsourcing influenza-like-illness reporting across the United States comparing the 2017–18 and 2018–19 influenza seasons
by: K. Sewalk, et al.
Published: (2020-12-01) -
Wikipedia in the information-seeking routine : reader usage and opinions of Wikipedia.
by: Lim, Ying Ling.
Published: (2009) -
Near-term forecasts of influenza-like illness
by: Sasikiran Kandula, et al.
Published: (2019-06-01) -
Wikipedia and stock return: Wikipedia usage pattern helps to predict the individual stock movement
by: Wei, P, et al.
Published: (2016)