ArticlePloS one2019
Zika discourse in the Americas: A multilingual topic analysis of Twitter.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 50 citations in OpenAlex.
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- Mapping the Mpox discourse: A network and sentiment analysis.Exploratory research in clinical and social pharmacy · 2024Article
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- The Pulse of Long COVID on Twitter: A Social Network Analysis.Archives of Iranian medicine · 2024Article
- Using geospatial social media data for infectious disease studies: a systematic review.International journal of digital earth · 2023Article
- Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health.Annual review of public health · 2022Review
- Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine.Journal of medical Internet research · 2022Article
- Article
- Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis.Applied intelligence (Dordrecht, Netherlands) · 2021Article
- Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media.Journal of big data · 2021Article
- Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak.Social network analysis and mining · 2021Article
- Public Sphere in Crisis Mode: How the COVID-19 Pandemic Influenced Public Discourse and User Behaviour in the Swiss Twitter-sphere.Javnost (Ljubljana, Slovenia) · 2021Article
- Article
- Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study.Journal of medical Internet research · 2020Article
- Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis.Journal of medical Internet research · 2020Article
- Article
- From data to decisions: The vital role of digital epidemiology for strengthening public health.Digital healthReview
- Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis.JMIR infodemiologyArticle
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work examines Twitter discussion surrounding the 2015 outbreak of Zika, a virus that is most often mild but has been associated with serious birth defects and neurological syndromes. We introduce and analyze a collection of 3.9 million tweets mentioning Zika geolocated to North and South America, where the virus is most prevalent. Using a multilingual topic model, we automatically identify and extract the key topics of discussion across the dataset in English, Spanish, and Portuguese. We examine the variation in Twitter activity across time and location, finding that rises in activity tend to follow to major events, and geographic rates of Zika-related discussion are moderately correlated with Zika incidence (ρ = .398).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.